DENVER COLORADO, USA JUNE 25-28 2019 - Association for Computing Machinery
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DENVER COLORADO, USA JUNE 25-28 2019
Table of Contents ETRA Event Maps .................................................................. 2 ETRA Schedule Overview ..................................................... 4 Message from Conference Chairs ....................................... 6 ETRA 2019 Credits ................................................................ 8 Keynotes ............................................................................ 9 Tutorials................................................................................ 16 Doctoral Symposium .......................................................... 23 ETRA Wednesday Sessions .............................................. 26 COGAIN Wednesday Sessions ......................................... 27 ET4S Wednesday Sessions .............................................. 30 ETRA 2019 Posters, Pre-function Space ........................... 32 ETRA 2019 Demos & Videos............................................... 34 ETRA Thursday Sessions ................................................. 36 ETWEB Thursday Sessions .............................................. 37 ETVIS Thursday Sessions ................................................ 39 Privacy Panel ...................................................................... 42 ETRA Friday Sessions ...................................................... 48 Sponsor Descriptions ........................................................ 50 Event Notes ......................................................................... 55
2
Registraon Exhibitors Posters Meeng Rooms Meals Office
3
4
06/25/2019 (Tuesday) 06/26/2019 (Wednesday)
ETRA Schedule for Tuesday & Wednesday
Tutorials Track 1 (Oxford / Tutorials Track 2 (Red Doctoral Symposium Workshops track Talks Track 2 (Pikes
TIME TIME Talks Track 1 (Humboldt)
Pikes Peak / Humbolt) Cloud) (Torrey's) (Oxford) Peak)
Opening session
T1: Deep learning in the T3: Gaze Analytics Keynote Address by Oleg Komogortsev "Eye Tracking Sensors Past, Present,
8:00 - 10:00 Doctoral Symposium 8:30 - 9:30
eye tracking world Pipeline Future and Their Applications"
(Oxford / Humboldt / Pikes Peak)
10:00 - 10:30 Coffee break (Ballroom Foyer) 9:30 - 10:00 Coffee break (Ballroom Foyer)
ETRA Session 1: Deep
T1: Deep learning in the T3: Gaze Analytics Workshop by Facebook
10:30 - 12:30 Doctoral Symposium 10:00 - 12:00 Learning, Paths, COGAIN Session 1
eye tracking world Pipeline Reality Labs
Transitions & Pursuits
12:30 - 13:30 Lunch break (Oxford / Pikes Peak/Humbolt) 12:00 - 13:00 Lunch break (The Lockwood Kitchen)
T2: Discussion and T4: Eye Tracking in ETRA Session 2:
standardisation of the Autism and Other Workshop by Tobii Calibration, Cognition,
13:30 - 15:30 Doctoral Symposium 13:00 - 15:00 COGAIN Session 2
metrics for eye movement Developmental Pro Smartphones, &
detection Conditions Sequences
15:30 - 16:00 Coffee break (Ballroom Foyer) 15:00 - 15:30 Coffee break (Ballroom Foyer)
T2: Discussion and T4: Eye Tracking in
standardisation of the Autism and Other POSTERS Fast Forward ET4S Session 1 (15:30-
16:00 - 18:00 Doctoral Symposium 15:30 - 17:30
metrics for eye movement Developmental Session (16:15-17:30) 18:00)
detection Conditions
Reception, Poster Session, Video & Demo Session (Ellingwood A&B and Red
17:30 - 21:00
Cloud)
06/27/2019 (Thursday) 06/28/2019 (Friday)
ETRA Schedule for Thursday & Friday
Workshops track (Red Talks Track 1 (Oxford / Pikes Talks Track 1 (Oxford / Pikes
TIME Talks Track 2 (Torrey's) TIME Talks Track 2 (Torrey's)
Cloud) Peak / Humboldt) Peak Humboldt)
rs Past, Present, Keynote Address by Enkeleida Kasneci "From Gazing to Perceiving" Privacy in Eye Tracking - Panel Discussion (Oxford / Pikes Peak /
8:30 - 9:30 8:30 - 9:30
(Oxford / Pikes Peak / Humboldt) Humboldt)
9:30 - 10:00 Coffee break (Ballroom Foyer) 9:30 - 10:00 Coffee break (Ballroom Foyer)
Workshop by SR ETRA Session 3: Visualisations ETRA Session 6: Privacy,
10:00 - 12:00 ETWEB Session 1 10:00 - 12:00 CHALLENGE Session 1
Research Inc. & Programming Authentication, Fitts of Skill
12:00 - 13:00 Lunch break (Oxford / Pikes Peak / Humboldt) 12:00 - 13:00 Lunch break (Oxford / Pikes Peak / Humboldt)
ETVIS Session 1:
ETRA Session 4: Head- Town hall meeting, ETRA 2020 Introduction (Oxford / Pike's Peak /
13:00 - 15:00 Visualization Tools and 13:00 - 15:00
Mounted Eye Tracking Humboldt)
Techniques
15:00 - 15:30 Coffee break (Ballroom Foyer)
ETRA Session 5: Gaze ETVIS Session 2: Visual
15:30 - 17:30
Detection and Prediction Scanpath Comparison
od A&B and Red
18:30 - 21:30 Banquet (Oxford / Pikes Peak / Humboldt)
5
Message from Conference Chairs
ETRA 2019 also aims at bringing together science and business. We are
We are very pleased to welcome you to the 11th ACM Symposium on Eye most grateful to all of our sponsors. The ETRA conference is also supported
Tracking Research & Applications (ETRA) 2019 in Denver, Colorado, USA! by the efforts of the Special Interest Group on Computer-Human Interaction
We are excited to present an excellent program for you to experience. We (SIGCHI) of the Association for Computing Machinery (ACM) and the ACM.
strongly believe that the program and proceedings represent the most vibrant We would like to point your attention to sponsors’ workshops accompanying
eye tracking methodology and its application advances which meet rigorous the main conference. This year we accommodate three sponsor workshops
VFLHQWL¿FFULWHULD by Tobii Pro, Facebook Reality Labs, and SR Research Ltd. These
workshops are free for all ETRA attendees and are an excellent platform for
For more than twenty years, the ACM ETRA conference has been the premier knowledge exchange between business practitioners and academics.
world-wide meeting place for the eye tracking community. ETRA is growing
DQGFKDQJLQJWRJHWKHUZLWKWKHH\HWUDFNLQJUHVHDUFK¿HOG)RUWKH¿UVWWLPH We are very excited about our keynote speakers addressing current trends
this year, ETRA is being held annually after being biannual since its inception. in eye tracking. Oleg Komogortsev, a PECASE award winner will discuss
the past and present status of eye tracking sensors, along with his vision
ETRA 2019 puts forth the effort to enhance interdisciplinary collaboration for future development. He will also discuss applications that necessitate
EHWZHHQUHVHDUFKHUVLQGLIIHUHQWGLVFLSOLQHV¿HOGVDQGDUHDV7RPDNHWKLV the presence of such sensors in VR/AR devices, along with applications
happen, we are pleased to have ETRA 2019 collocated with four excellent WKDWKDYHWKHSRZHUWREHQH¿WVRFLHW\RQDODUJHVFDOH(QNHOHMGD.DVQHFL
thematic eye tracking meetings and tracks: Eye Tracking For Spatial will dive into more fundamental issues of human gazing, perception and
Research (ET4S), Computer – Gaze Interaction (COGAIN), Eye Tracking & H\HWUDFNLQJ6KHZLOOJREH\RQGWKHOLQHRIVLJKWVLPSOL¿FDWLRQE\H[SORULQJ
Visualizations (ETVIS), and Eye Tracking for Web (ETWEB). ET4S joined requirements needed to shift our paradigm from foveal to retina-aware eye
(75$IRUWKH¿UVWWLPH,WDLPVDWEULQJLQJWRJHWKHUUHVHDUFKHUVIURPGLIIHUHQW tracking, and discussing novel ways to employ this new paradigm to further
areas who have a common interests in using eye tracking for research our understanding of human perception.
questions related to spatial information and spatial decision making. ETWEB
is a new initiative which covers topics related to Web (interface semantics Putting on a conference takes many people working together towards a
extraction, interaction adaptation, etc.) and eye tracking (attention visualization, common goal. We thank all the authors and volunteer reviewers that have
crowd sourcing, etc.). COGAIN focuses on all aspects of gaze interaction, with contributed to this year’s submissions. We would especially like to highlight
special emphasis on eye-controlled assistive technology. It presents advances the work of the area chairs who provided synthesizing meta-reviews, led
in these areas, leading to new capabilities in gaze interaction, gaze enhanced discussions, and provided their expert guidance to reviewers and authors.
applications, and gaze contingent devices. ETVIS covers topics that are
UHODWHGWRYLVXDOL]DWLRQUHVHDUFK LQFOXGLQJLQIRUPDWLRQYLVXDOL]DWLRQVFLHQWL¿F It has been our pleasure to serve in our capacity of Conference Chairs for
visualization, and visual analytics) and eye tracking. In 2019, ETRA will host for DVHFRQG\HDU:HORRNIRUZDUGWRSXVKLQJWKHIURQWLHURIWKH¿HOGtogether
WKH¿UVWWLPHD&KDOOHQJH7UDFN,QWKLVRSHQLQJHGLWLRQWKH&KDOOHQJH7UDFN with all of you at this year’s ETRA. We wish you a great time in Denver!
will consist of a mining challenge. An open call was put out to apply analytical
tools to a common human eye-movement data set. The challenge was to have
participants creatively engage their newest and most exciting mining tools and
approaches to make the most of this dataset. In ETRA 2019, we received 109
submissions to the main ETRA conference track. We accepted 28 full papers
and 18 short papers after a two-phase reviewing process.
This year we continue our tutorial program and doctoral students symposium
with 13 accepted submissions. This year we accommodate four half-
GD\H[FLWLQJWXWRULDOV 'HHS/HDUQLQJLQWKH(\H7UDFNLQJ:RUOGE\3DZHá Bonita Sharif & Krzysztof Krejtz
Kasprowski, Discussion and standardization of the metrics for eye movement ETRA 2019 Conference Chairs
detection by Mikhail Startsev and Raimondas Zembys, Gaze Analytics
Pipeline by Nina Gehrer and Andrew Duchowsk, Eye Tracking in the Study of
Developmental Conditions: A Computer Scientists Primer by Frederick Shic.
6 7
ETRA 2019 Organization Web Chairs
Adrian Pilkington (University of Nebraska-Lincoln, USA)
Conference Chairs Michael Decker (Bowling Green State University, USA)
Bonita Sharif (University of Nebraska-Lincoln, USA)
Krzysztof Krejtz (SWPS University of Social Sciences and Humanities, Proceedings Chair
Poland) Stephen N. Spencer (University of Washington, USA)
Paper Chairs Local Arrangements Chairs
Veronica Sundstedt (Blekinge Tekniska Högskola, Sweden) Hana Vrakova (University of Colorado Boulder, USA)
Paige Rodeghero (Clemson University, USA) Martha Crosby (University of Hawaii, USA)
Demo & Video Chairs Student Volunteer Chairs
Tanja Blascheck (Universität Stuttgart, Germany) Katarzyna Wisiecka (SWPS University of Social Sciences and
Fabian Deitelhoff (University of Applied Sciences and Arts Dortmund, Humanities, Poland)
Germany) Ayush Kumar (Stony Brook University, USA)
Doctoral Symposium Chairs Accessibility Chairs
Hana Vrakova (University of Colorado Boulder, USA) -XVW\QDĩXUDZVND 6:368QLYHUVLW\RI6RFLDO6FLHQFHVDQG+XPDQLWLHV
Reynold Bailey (Rochester Institute of Technology, USA) Poland)
Ann McNamara (Texas A&M University, USA)
Conference Companion Booklet Chairs
Tutorial Chairs Matthew Crosby (USA)
Preethi Vaidyanathan (LC Technologies Inc., USA) Adrian Pilkington (University of Nebraska-Lincoln, USA)
Diako Mardanbegi (Lancaster University, UK) Agnieszka Ozimek (SWPS University of Social Sciences and
Humanities, Poland)
Poster Chairs
Arantxa Villanueva (Public University of Navarra, Spain) Design and Artwork Chairs
Eakta Jain (University of Florida, USA) Matthew Crosby (USA)
Adrian Pilkington (University of Nebraska-Lincoln, USA)
Eye Tracking Challenge Chairs Meera Patel (University of Nebraska-Lincoln, USA)
Susana Martinez-Conde (State University of New York, USA)
Jorge Otero-Millan (Johns Hopkins University, USA)
Co-sponsored by ACM SIGGRAPH and ACM SIGCHI
Sponsor Chairs
Oleg Komogortsev (Michigan State University, USA) ETRA Steering Committee
Kenan Bektas (Zurich University of Applied Sciences, Switzerland) Andrew Duchowski (chair), Pernilla Qvarfordt, Paivi Majaranta
Social Media Chairs Special thanks to the 128 reviewers and 51 area chairs!
Anna Niedzielska (SWPS University of Social Sciences and Humanities, Check out the ETRA 2019 website at
Poland) http://etra.acm.org/2019/areachairs.html and
Nina Gehrer (Eberhard Karls University of Tübingen, Germany) http://etra.acm.org/2019/reviewers.html for a list of names.
8 9
ETRA 2019 Co-located Events Organization Keynotes
COGAIN (Communication by Gaze Interaction)
Organizers Eye Tracking Sensors Past, Present,
John Paulin Hansen, Technical University of Denmark, Denmark Future and Their Applications
Päivi Majaranta, Tampere University, Finland Wednesday, June 26, 8:30 - 9:30
Program Co-Chairs (Oxford / Humboldt / Pikes Peak)
Diako Mardanbegi, Lancaster University, United Kingdom
Ken Pfeuffer, Bundeswehr University Munich, Germany OLEG KOMOGORTSEV, ASSOCIATE PROFESSOR AT
TEXAS STATE UNIVERSITY, USA
ET4S (Eye Tracking for Spatial Research)
Organizers Abstract. The availability of eye tracking sensors is
Peter Kiefer, ETH Zurich, Switzerland set to explode, with billions of units available in future
Fabian Göbel, ETH Zurich, Switzerland Virtual Reality (VR) and Augmented Reality (AR)
David Rudi, ETH Zurich, Switzerland platforms. In my talk I will discuss the past and present
Ioannis Giannopoulos, TU Vienna, Austria status of eye tracking sensors, along with my vision for
future development. I will also discuss applications that
Andrew T. Duchowski, Clemson University, USA
necessitate the presence of such sensors in VR/AR
Martin Raubal, ETH Zurich, Switzerland
devices, along with applications that have the power to
EHQH¿WVRFLHW\RQDODUJHVFDOHZKHQ95$5VROXWLRQV
ETVIS (Eye Tracking and Visualization) are widely adopted.
Organizers
Michael Burch, Eindhoven University of Technology, Netherlands Bio. Dr. Komogortsev is currently a tenured Associate Professor at Texas State
Pawel Kasprowski, Silesian University of Technology, Poland University and a Visiting Scientist at Facebook Reality Labs at Facebook. Dr.
Leslie Blaha, Air Force Research Laboratory, USA Komogortsev has received his B.S. in Applied Mathematics from Volgograd
Social Media Chair State University, Russia, and M.S./Ph.D. degree in Computer Science from
Ayush Kumar, Stony Brook University, USA Kent State University, Ohio. He has previously worked for such institutions
as Johns Hopkins University, Notre Dame University, and Michigan State
ETWEB (Eye Tracking for the Web) University. Dr. Komogortsev conducts research in eye tracking with a focus on
Organizers cyber security (biometrics), health assessment, human computer interaction,
Chandan Kumar, Institute WeST, University of Koblenz, Germany usability, and bioengineering. This work has thus far yielded more than 100
Raphael Menges, Institute WeST, University of Koblenz, Germany peer reviewed publications and several patents. Dr. Komogortsev’s research
Sukru Eraslan, METU Northern Cyprus Campus was covered by the national media including NBC News, Discovery, Yahoo,
Program Committee Livesience and others. Dr. Komogortsev is a recipient of four Google awards
Alexandra Papoutsak, Pomona College, USA including two Virtual Reality Research Awards (2016, 2017), Google Faculty
Jacek Gwizdka, University of Texas, USA Research Award (2014), and Google Global Faculty Research Award (2018). Dr.
Komogortsev has also won National Science Foundation CAREER award and
Scott MacKenzie, York University, Canada
Presidential Early Career Award for Scientists and Engineers (PECASE) from
Simon Harper, University of Manchester, UK
President Barack Obama on the topic of cybersecurity with the emphasis on eye
Caroline Jay, University of Manchester, UK
movement-driven biometrics and health assessment. In addition, his research
Victoria Yaneva, University of Wolverhampton, UK is supported by the National Science Foundation, National Institute of Health,
From Gazing to Perceiving Wednesday, June 26 2019
Thursday, June 27, 8:30 - 9:30 13:00 - 15:00 (Oxford)
(Oxford / Pikes Peak / Humboldt)
Tobii Pro Workshop
ENKELEJDA KASNECI, ASSOCIATE PROFESSOR OF COMPUTER
Tobii Pro solutions for VR experiments
SCIENCE PERCEPTION ENGINEERING LAB AT UNIVERSITY OF
TÜBINGEN, GERMANY
Presenter: Jonas Högström, Tobii Pro & Tim Holmes, Royal Holloway,
University of London
Abstract. Eye tracking technology is based on the assumption that our
perception follows the fovea – a tiny region in our retina responsible for
Abstract: Whereas experiments in Virtual Reality (VR) have grown much
sharp central vision. In fact, what we usually refer to as the line of sight is
more common over the last years, they are still not as common nor as
nothing but the imaginary line connecting the fovea to the gazed location.
well-supported as standard screen-based experiments. The choice of
However, our visual perception is far more complex than that: Gazing
research tool to choose goes hand in hand with the research question of
is not perceiving. As a tangible example, consider our retinal peripheral
interest, but today the same question can be approached from different
view. Whereas we cannot distinguish details in this region, movements
angles using screen-based experiments, glasses-based experiments,
are perceptible nonetheless. In this talk, I will go beyond the line of sight
360° VR media, and full 3D VR environments. The choice of what media
VLPSOL¿FDWLRQE\D H[SORULQJUHTXLUHPHQWVQHHGHGWRVKLIWRXUSDUDGLJP
to use in a VR experiment is determined by the researcher’s desired
from foveal to retina-aware eye tracking, and b) discussing novel ways
level of control of the stimulus, how representative it is supposed to be
to employ this new paradigm to further our understanding of human
WRDQRQDUWL¿FLDOZRUOGZKDWPHWULFVWKDWZLOOEHXVHGDQGWKHWLPHDQG
perception.
resources available for the project.
Bio. Enkelejda Kasneci is an Associate Professor
This workshop will present Tobii Pro’s solutions for conducting VR
of Computer Science at the University of Tübingen,
experiments, and will go through how areas of interests, trials, moving
Germany, where she leads the Perception
$2,V¿[DWLRQFODVVL¿FDWLRQDQGRWKHUFRQFHSWVDUHKDQGOHGLQWKH
Engineering Group. As a BOSCH-scholar, she
H[SHULPHQWZRUNÀRZ,WZLOOSURYLGHDQXQGHUVWDQGLQJRIZKDWSDUWVDUH
received her M.Sc. degree in Computer Science
taken care of by the software, and what is expected of the researcher
from the University of Stuttgart in 2007. In 2013,
themselves. Workshop attendees will get a chance to try VR hardware
she received her PhD in Computer Science from
and the software solutions themselves.
the University of Tübingen, Germany. For her
PhD research, she was awarded the research prize of the Federation
Südwestmetall in 2014. From 2013 to 2015, she was a Margarete-von-
Wrangell Fellow. Dr. Kasneci’s overarching and long-term vision aims at
computing systems that sense and infer the user’s cognitive state, actions,
and intentions based on eye movements. These systems set out to provide
information for assistive technologies applicable for many activities of
everyday life. Towards this vision, her research combines eye tracking
technology with machine learning in various multidisciplinary projects that
DUHVXSSRUWHGE\QDWLRQDOVFLHQWL¿FVRFLHWLHVDVZHOODVYDULRXVLQGXVWULDO
sources. In addition, she serves as academic for PlosOne as well as a
reviewer and PC member for several journals and major conferences.
12 13
Wednesday, June 26 2019 Thursday, June 27 2019 SR Research
10:00 - 12:00 (Oxford) 10:00 - 12:00 (Red Cloud)
Facebook Reality Labs Workshop SR Research Workshop EyeLink
Establishing a Ground-Truth for Eye Tracking Title: Recording and analyzing gaze during
website interactions with EyeLink eye trackers
Robert Cavin, Research Lead, Eye Tracking, Facebook Reality Labs
Immo Schuetz, Postdoctoral Research Scientist, Facebook Reality Labs Presenter: Dr. Sam Hutton, SR Research Ltd
Robin Sharma, Optical Scientist, Facebook Reality Labs
Kavitha Ratnam, Postdoctoral Research Scientist, Facebook Reality Labs Abstract: Eye tracking can be a powerful tool in usability research and
Michele Rucci, Professor, Center for Visual Science, University of graphical interface design, providing important information concerning
Rochester where users direct their attention to websites and applications they are
Austin Roorda, Professor, School of Optometry, University of California interacting with. In website usability, for example, eye tracking can reveal
Berkeley important information about which areas of a web page are read, which
areas are skipped, or even which areas increase cognitive workload.
Calibration and performance evaluation of current eye trackers typically In traditional eye tracking, the researcher has tight control over what is
rely on comparing known target positions to measured gaze directions shown, where it is shown and when it is shown. Analysis of the gaze data
ZKLOHDSDUWLFLSDQWLV¿[DWLQJRQWKRVHWDUJHWV$PDSSLQJIXQFWLRQRU typically involves mapping gaze up with various areas of inter est, and
geometric eye model is then optimized based on this correspondence, UHSRUWLQJPHDVXUHVVXFKDV¿[DWLRQFRXQWDQGGZHOOWLPH(\HWUDFNLQJ
essentially treating the calibration targets as the “ground truth” for each for usability research, however, introduces a number of complications
gaze direction. While this has worked reasonably well to achieve current that traditional stimulus presentation and analysis software do not
calibration accuracies of around 0.5 degrees, trying to optimize beyond always deal with adequately. For example, the participant themselves
this point reveals that calibration targets are more a self-report measure determines what is shown, and when /where it is shown. As such, an
WKDQUHDOJURXQGWUXWK 3DUWLFLSDQWFRPSOLDQFH¿[DWLRQDOH\HPRYHPHQWV accurate recording of the screen is critical. Web pages often contain
such as drifts and micro-saccades, as well as the accuracy of positioning dynamic (moving) content, and can themselves be scrolled, adding
the fovea or preferred viewing location itself all contribute to uncertainty in further complications to traditional analysis approaches, in which interest
the “ground-truth” target location and thus form a lower bound for tracking areas are typically static. This workshop will introduce new recording
accuracy. and analysis software from SR Research that allows researchers to
record and quantify participants gaze whilst they interact with websites.
Many applications of eye tracking for virtual and augmented reality will Key features include screen and audio recording, keypress and
UHTXLUHKLJKHUWUDFNLQJ¿GHOLW\WKDQZKDWLVFXUUHQWO\DYDLODEOH,QWKLV mouse logging, the ability to provide a live preview of the gaze data
workshop, we will explore the hypothesis that measuring ground-truth during recording, automatic scroll compensation at the analysis stage,
gaze in conjunction with a second, to-be-evaluated eye tracking system automatic data segmentation and navigation based on URLs, data
FDQKHOSERRVWPRGHODQGWUDFNLQJDFFXUDF\LQWKHORQJWHUP:HGH¿QH aggregation from multiple participants, mouse event data visualization
ground-truth as the mapping of real-world content onto the retinal locus of DQGH[WUDFWLRQDQGQHZUHSRUWYDULDEOHVVSHFL¿FWRZHESDJHWUDFNLQJ
¿[DWLRQ6SHDNHUVZLOOSUHVHQWGLIIHUHQWDSSURDFKHVIURPDFDGHPLDDQG
industry, followed by a panel discussion on the viability and possibilities of
ground-truth eye tracking approaches. To continue the conversation after
the workshop, we invite participants to a Facebook-sponsored social after
the main conference events
14 15Tutorials applications to eye movement data, (4) Recurrence Neural Networks
and its possible usages. The tutorial will NOT include the detailed
Deep Learning in the Eye Tracking World mathematical explanation of neural network architecture and algorithms.
PAWEL KASPROWSKI, KASPROWSKI@POLSL.PL All subjects will be explained with simple try-on examples using real eye
Tuesday, June 25, 2019, 8:00-12:30 (Oxford / Pikes Peak / Humbolt) movement datasets.
Abstract. Recently deep learning has become a hype Bio. Dr. Pawel Kasprowski is an Assistant Professor at Institute of
word in computer science. Many problems, which till now Informatics, Silesian University of Technology, Poland. He received his
could be solved only using sophisticated algorithms, can Ph.D. in Computer Science in 2004 under the supervision of Prof. Jozef
be now solved with specially developed neural networks. Ober – one of the precursors of eye tracking. He has experience in both
eye tracking and data mining. His primary research interest includes
Deep learning also becomes more and more popular using data mining methods to analyze eye movement signal. Dr. Pawel
PAWEL KASPROWSKI
in the eye tracking world. It may be used in any place Kasprowski teaches data mining at the University as well as during
ZKHUHVRPHNLQGRIFODVVL¿FDWLRQFOXVWHULQJRUUHJUHVVLRQ commercial courses. In the same time, he is an author of numerous
is needed. The tutorial aims to show the potential applications (like publications concerning eye movement analysis.
calibration, event detection, gaze data analysis and so on), and – what is
more important – to show how to apply deep learning frameworks in such Additional information for prospective participants: http://www.
research. kasprowski.pl/tutorial/
There is a common belief that to use neural networks a strong
mathematical background is necessary as there is much theory which
must be understood before starting working. There is also a belief that, Discussion and standardisation of
because most deep learning frameworks are just libraries in programming the metrics for eye movement detection
languages, it is necessary to be a programmer and have knowledge of the MIKHAIL STARTSEV, MIKHAIL.STARTSEV@TUM.DE
programming language that is used. RAIMONDAS ZEMBLYS, R.ZEMBLYS@TF.SU.LT
Tuesday, June 25, 2019, 13:30-18:00 (Oxford / Pikes Peak / Humbolt)
:KLOHERWKDELOLWLHVDUHEHQH¿FLDOEHFDXVHWKH\PD\KHOSLQDFKLHYLQJ
better results, this tutorial aims to prove that deep networks may be used Abstract. By now, a vast number
even by people who know only a little about the theory. I will show you of algorithms and approaches for
ready-to-use networks with exemplary eye movement datasets and try to detecting various eye movements
explain the most critical issues which you will have to solve when preparing ¿[DWLRQVVDFFDGHV362SXUVXLW
your own experiments. After the tutorial, you will probably not become an OKN, etc.) have been proposed
expert in deep learning, but you will know how to use it in practice with and evaluated by researchers in the
your eye movement data. ¿HOG7KHUHSRUWHGUHVXOWVDUHQRW RAIMONDAS ZEMBLYS MIKHAIL STARTSEV
always directly comparable and easily
Audience. The tutorial is addressed to every person interested in deep interpretable, even by experts. Part of this problem lies in the diversity of
learning; no special skills are required apart from some knowledge about the metrics that are used to test the algorithms.
eye tracking and eye movement analysis. However, minimal programming
skills are welcome and may help in better understanding the problem. The multitude of metrics reported in the literature is potentially
FRQIXVLQJERWKWRWKHUHVHDUFKHUVZKRZDQWWRMRLQWKH¿HOGDQGWRWKH
Scope. This tutorial will include: (1) gentle introduction to machine established groups. Firstly, there is a number of sample-level measures:
OHDUQLQJFODVVL¿FDWLRQDQGUHJUHVVLRQSUREOHPV LQWURGXFWLRQWRQHXUDO &RKHQ¶VNDSSDYDOXHVVHQVLWLYLW\VSHFL¿FLW\)VFRUHVDQGDFFXUDF\
networks, (3) explanation of Convolutional Neural Networks and its or disagreement rates. Secondly, a growing number of event-level
measures exist: average statistics of the “true” and detected events
16 Tuesday 6.25.19 17(duration, amplitude, etc.), quantitative and qualitative scores proposed from the tutorial regardless of their background, either by discovering
by Komogortsev et al. [2010], different ways of computing F1 scores something new about the metrics they have or have not used before, or
[Hooge et al. 2018, Zemblys et al. 2018, Startsev et al. 2018], variations by contributing to the discussion and sharing their experiences.
of the Cohen’s kappa [Zemblys et al. 2018, Startsev et al. 2019], temporal Bio. Mikhail Startsev is a PhD student at the Technical University of
offset measures of Hooge et al. [2018], average intersection-over-union Munich (TUM), Germany and a member of an International Junior
ratios [Startsev et al. 2018], and Levenshtein distance between event 5HVHDUFK*URXS³9LVXDO(I¿FLHQW6HQVLQJIRUWKH3HUFHSWLRQ$FWLRQ
sequences [Zemblys et al. 2018]. Almost all of the metrics listed above Loop” (VESPA) under the supervision of Michael Dorr. He received his
can be computed for all eye movement classes taken together or for each Diplom degree in Computational Mathematics and Informatics from the
considered class in isolation. Lomonosov Moscow State University (LMSU), Russia, in 2015, where
he was a member of the Graphics and Media Lab. Mikhail’s research is
Some aspects of these evaluation measures (especially on the level of centred around the human visual system, with a particular emphasis on
events) contribute to their interpretability, bias, and suitability for various the eye movements and saliency modelling, with several publications in
purposes and testing scenarios (e.g. whether expert manual annotations human and computer vision-related conferences and journals.
are available for comparison, or whether the stimuli were synthetically
generated or recorded in naturalistic conditions). With the advent of Dr. Raimondas Zemblys is currently a researcher at Siauliai University
machine learning-based models, the choice of a metric, a loss function, (Lithuania) and research engineer at Smart Eye AB (Sweden). His
or a set of those should be motivated not just by differentiating between a main research interests are eye-tracking methodology, eye-movement
handful of algorithms, but also by the metric’s ability to guide the training data quality, event detection and applications of deep learning for eye-
process over thousands of epochs. movement analysis. He received his PhD in Informatics Engineering
from Kaunas University of Technology in 2013, worked as a postdoc
Right now, there is no clear-cut way of choosing a suitable metric for the researcher at Lund University in 2013-2015 and Michigan State
problem of eye movement detection. Additionally, the set-up of an eye University in 2017-2018.
tracking experiment has a bearing on the applicable evaluation strategies.
In this tutorial, we intend to provide an in-detail discussion of existing
metrics, which would supply both theoretical and practical insights. We
will illustrate our recommendations and conclusions through examples Gaze Analytics Pipeline
and experimental evidence. This tutorial aims to facilitate discussion and ANDREW DUCHOWSKI, ADUCHOW@CLEMSON.EDU
stimulate the researchers to employ uniform and well-grounded evaluation NINA GEHRER, NINA.GEHRER@UNI-TUEBINGEN.DE
strategies. Tuesday, June 25, 2019, 8:00-12:30 (Red Cloud)
Scope. The tutorial is aiming to provide its audience with a practice- Abstract. This tutorial gives a
RULHQWHGRYHUYLHZRIWKHHYDOXDWLRQPHWULFVWKDWFDQEHXVHGLQWKH¿HOG short introduction to experimental
of eye movement detection, covering a wide variety of set-ups, such as design in general and with regard
eye movements with synthetic and naturalistic stimuli, in the presence to eye tracking studies in particular.
or absence of manual annotations, as well as different purposes of the Additionally, the design of three
HYDOXDWLRQ VHOHFWLQJWKHEHVWDOJRULWKPIRUDXWRPDWLFGHWHFWLRQ ¿QGLQJ different eye tracking studies NINA GEHRER ANDREW DUCHOWSKI
systematic biases in the annotations by different experts; training a (using stationary as well as mobile
machine learning model) and evaluated entities (i.e. individual samples or eye trackers) will be presented and the strengths and limitations of
whole events). The presentations will give recommendations for evaluation their designs will be discussed. Further, the tutorial presents details
strategy choices for different scenarios, as well as support the discussion of a Python-based gaze analytics pipeline developed and used by
of various metrics by examples. Prof. Duchowski and Ms. Gehrer. The gaze analytics pipeline consists
of Python scripts for extraction of raw eye movement data, analysis
Audience. Researchers involved in eye movement detection (or even DQGHYHQWGHWHFWLRQYLDYHORFLW\EDVHG¿OWHULQJFROODWLRQRIHYHQWVIRU
WKRVHZKRXVHH[LVWLQJGHWHFWRUVWRPDNHVHQVHRIWKHLUGDWD FRXOGEHQH¿W statistical evaluation, analysis and visualization of results using R.
18 Tuesday 6.25.19 19Attendees of the tutorial will have the opportunity to run the scripts of an Eye Tracking in the Study of Developmental Conditions:
analysis of gaze data collected during categorization of different emotional A Computer Scientists Primer
expressions while viewing faces. The tutorial covers basic eye movement FREDERICK SHIC, FSHIC@UW.EDU
DQDO\WLFVHJ¿[DWLRQFRXQWDQGGZHOOWLPHZLWKLQ$2,VDVZHOODV Tuesday, June 25, 2019, 13:30-6:00 (Red Cloud)
advanced analysis using gaze transition entropy. Newer analytical tools
and techniques such as microsaccade detection and the Index of Pupillary Abstract. Children with developmental conditions,
Activity will be covered with time permitting. such as autism, genetic disorders, and fetal alcohol
syndrome, present with complex etiologies and can
Scope and Audience. The tutorial welcomes attendees at all levels LQFXUVLJQL¿FDQWFKDOOHQJHVWKURXJKRXWWKHLUOLIH
of experience and expertise, from those just beginning to study eye Especially in very young children, heterogeneity
movements and interested in the basics of experimental design to those across and within diagnostic categories makes uniform
FREDERICK SHIC
well practiced in the profession who might wish to consider adopting use application of standard assessment methods, that
of Python and R scripts, possibly wishing to contribute to, expand on, and often rely on assumptions of communicative or other
improve the pipeline. GHYHORSPHQWDODELOLWLHVGLI¿FXOW(\HWUDFNLQJKDVHPHUJHGDVDSRZHUIXO
tool to study both the mechanistic underpinnings of atypical development
Bio. Dr. Duchowski is a professor of Computer Science at Clemson as well as facets of cognitive and attentional development that may be
University. He received his baccalaureate (1990) from Simon Fraser of clinical and prognostic value. In this tutorial we discuss the challenges
University, Burnaby, Canada, and doctorate (1997) from Texas A&M and approaches associated with studying developmental conditions
University, College Station, TX, both in Computer Science. His research using eye tracking. Using autism spectrum disorder (ASD) as a model,
and teaching interests include visual attention and perception, eye tracking, we discuss the interplay between clinical facets of conditions and studies
computer vision, and computer graphics. He is a noted research leader and techniques used to probe neurodevelopment.
LQWKH¿HOGRIH\HWUDFNLQJKDYLQJSURGXFHGDFRUSXVRISDSHUVDQGD
monograph related to eye tracking research, and has delivered courses Scope and Audience. This tutorial is geared towards engineers and
and seminars on the subject at international conferences. He maintains computer scientists who may be interested in the variety of ways eye
Clemson’s eye tracking laboratory, and teaches a regular course on eye tracking can be used in the study of developmental mechanism or for the
tracking methodology attracting students from a variety of disciplines development of clinically-relevant methods, but does not assume deep
across campus. knowledge of eye tracking hardware, algorithms, or engineering-focused
literature. Similarly, the tutorial will be broadly accessible, assuming
Nina Gehrer is a clinical psychologist who is currently working on her PhD limited or no knowledge of developmental conditions, clinical research,
thesis at the University of Tübingen, Germany, since she received her and/or autism.
master’s degree in 2015. Her main research interest lies in studying face
and emotion processing using eye tracking and a preferably wide range of Bio. Frederick Shic, Ph.D. is an Associate Professor of Pediatrics at
analytic methods. As a clinical psychologist, she is particularly interested the University of Washington and an Investigator at Seattle Children’s
in possible alterations related to psychological disorders that could Research Institute’s Center for Child Health, Behavior and Development.
XQGHUOLHDVVRFLDWHGGH¿FLWVLQVRFLDOLQIRUPDWLRQSURFHVVLQJ6KHEHJDQ Dr. Shic has been an autism researcher for 15 years and, as a computer
working with Prof. Duchowski in 2016. Since then, they have enhanced scientist by training, brings an interdisciplinary perspective to early
and implemented his gaze analytics pipeline in the analysis of several developmental, therapeutic, and phenotyping research. Dr. Shic leads
eye tracking studies involving face and emotion processing. Recently, the Seattle Children’s Innovative Technologies Laboratory (SCITL), a
they have started to extend their research to gaze patterns during social ODEIRFXVHGRQDGYDQFLQJDQGUH¿QLQJWHFKQRORJ\EDVHGWRROVLQFOXGLQJ
interactions. eye tracking, functional near infrared spectroscopy, robots, mobile apps,
and video games. His goals are to understand lifespan trajectories
leading to heterogeneous outcomes in ASD, and to develop methods
for positively intercepting these trajectories. To enable this, he focuses
20 Tuesday 6.25.19 21on big data perspectives of phenotypic variation, biomarker discovery Doctoral Symposium
enabled via technology, and rapid, adaptable, evolving frameworks for Schedule, Tuesday, June 25, 2019, Humboldt
outcomes research applicable to diverse populations. His current and
prior work, funded by NIMH, Simons Foundation, and Autism Speaks, 08:00-10:00
includes developmental, psychological, and applied autism research as Welcome Note - Doctoral Symposium Co-Chairs (30 minutes)
ZHOODVPHWKRGVHQJLQHHULQJDLPHGDWFUHDWLQJDQGUH¿QLQJDQDO\WLFDODQG 3-minute introductions - in 1 slide introduce yourself, educational
predictive techniques. Previously, he was an engineering undergraduate background, collaborations, and why your work is important
at Caltech, a Sony PlayStation video game programmer, a magnetic 10:00-10:30
resonance spectroscopy brain researcher, and a graduate student at Yale Coffee break (Ballroom Foyer)
Computer Science’s Social Robotics Lab. It was during this graduate
work when, needing child gaze patterns to program an attention system 10:30-12:30
IRUDEDE\HPXODWLQJURERWKHZDV¿UVWLQWURGXFHGWRDXWLVPUHVHDUFK Large Group Discussions (All Together)
at the Yale Child Study Center. He continued this work as an NIMH T32 Discuss technical aspects of your work
postdoc in Childhood Neuropsychiatric Disorders and then as an Assistant (5 minutes, up to 5 slides, 3 minutes for feedback and Q&A).
Professor at the Yale Child Study Center. Each student is assigned two abstracts to review in detail.
One student will serve as moderator - introducing the speaker and topic,
and kick off discussion.
Another student will serve as scribe.
12:30-13:30
Lunch break (The Lockwood Kitchen)
Discuss the following with peers at your table with
one person taking notes (prepare 3-4 concrete quesstions):
What obstacles/challenges are you facing?
Do you feel your work is progressing smoothly?
What could you use guidance on?
:KDWVSHFL¿FTXHVWLRQVZRXOG\RXDVNH[SHUWVLQWKH¿HOG"
13:30-15:30
Summary of lunch discussions (13:30-13:45)
Small Group Discussions with Faculty (13:45-15:30)
Three small groups of DS students meet with
three groups of established researchers.
Groups rotate every 30 minutes.
15:30-16:00
Coffee break (Ballroom Foyer)
16:00-17:00
Posters Fast-Forward practice run
Maximizing your conference experience
Closing Remarks
18:00
Social Event
22 Tuesday 6.25.19 23Doctoral Symposium 0LFURVDFFDGLFDQG3XSLOODU\5HVSRQVHWR7DFWLOH7DVN'LI¿FXOW\
-XVW\QDĩXUDZVND 6:368QLYHUVLW\RI6RFLDO6FLHQFHVDQG+XPDQLWLHV
Abstracts
Looks Can Mean Achieving: Understanding Eye Gaze Patterns of
When you don’t see what you expect: incongruence in music 3UR¿FLHQF\LQ&RGH&RPSUHKHQVLRQ
and source code reading Jonathan Saddler (University of Nebraska Lincoln)
Natalia Chitalkina (University of Turku)
High-Resolution Eye Tracking Using Scanning Laser Ophthalmoscopy
Eye-tracking based Fatigue and Cognitive Assessment Norick Bowers (University of California, Berkeley)
Tanya Bafna (Technical University of Denmark) and John Paulin Hansen
(Technical University of Denmark) Eye movements during reading and reading assessment in Swedish
VFKRROFKLOGUHQ±DQHZZLQGRZWRUHDGLQJGLI¿FXOWLHV
Pupil Diameter as a Measure of Emotion and Sickness in VR Andrea Strandberg (Karolinska Institute)
Brendan John (University of Florida)
Accessible Control of Telepresence Robots based on Eye-Tracking
Guangtao Zhang (Technical University of Denmark)
The vision and interpretation of paintings: bottom-up visual processes,
top-down culturally informed attention, and aesthetic experience
Pablo Fontoura (EHESS), Jean-Marie Schaeffer (EHESS), and Michel
Menu (C2RMF)
Attentional orienting in real and virtual 360-degree environments:
application to aeronautics
Rébaï Soret (ISAE-SUPAERO), Christophe Hurter (ENAC- Ecole Nationale
de l’Aviation Civile), and Vsevolod Peysakhovich (ISAE)
Motion Tracking of Iris Features for Eye tracking
Aayush Chaudhary (Rochester Institute of Technology)
Automatic quick-phase detection in bedside recordings
from patients with acute dizziness and nystagmus
Sai Akanksha Punuganti (Johns Hopkins University, USA), Jing Tian
(Johns Hopkins University, USA), and Jorge Otero-Millan (Johns Hopkins
University, USA)
Towards a Data-driven Framework for Realistic Self-Organized Virtual
Humans: Coordinated Head and Eye movements
Zhizhuo Yang (Rochester Institute of Technology)
24 Tuesday 6.25.19 25ETRA 2019 Long and Short Papers COGAIN 2019 Long and Short Papers
Presented as Talks Presented as Talks
Wednesday, June 26, 2019 Wednesday, June 26, 2019
10:00-12:00 10:00-12:00 & 13:00-15:00
(Humboldt) (Pike’s Peak)
Session 1 Session 1
Session Chair: Tanja Blascheck (University of Stuttgart) Session Chair: Arantxa Villanueva (Public University of Navarre,
Italy
Deep learning investigation for chess player attention prediction using
eye-tracking and game data 10:00-10:15
Justin Le Louedec, Thomas Guntz, James Crowley and Dominique Welcome and Brief Introduction
Vaufreydaz
Long 10:15-10:55
Invited talk
Semantic Gaze Labeling for Human-Robot Shared Manipulation Eye Tracking - From the Past to the Future [Abstract]
Reuben Aronson and Henny Admoni Heiko Drewes (University of Munich, Germany) [Biography]
Long
11:00-11:20
(\H)ORZ 3XUVXLW,QWHUDFWLRQV8VLQJDQ8QPRGL¿HG&DPHUD A Comparative Study of Eye Tracking and Hand Controller for Aiming
Almoctar Hassoumi, Vsevolod Peysakhovich and Christopher Hurter Tasks in Virtual Reality
Long Francisco Lopez Luro (Blekinge Institute of Technology) and Veronica
Sundstedt (Blekinge Institute of Technology)
Exploring Simple Neural Network Architectures for Eye Movement Long paper
&ODVVL¿FDWLRQ
Jonas Goltz, Michael Grossberg, and Ronak Etemadpour 11:20-11:40
Short Pointing by Gaze, Head, and Foot in a Head-Mounted Display
John Hansen (Technical University of Denmark),
Analyzing Gaze Transition Behavior Using Bayesian Mixed Effects Markov Katsumi Minakata(Technical University of Denmark), I. Scott MacKenzie
Models York University), Per Bkgaard (Technical University of Denmark), and
Islam Akef Ebeid, Nilavra Bhattacharya, Jacek Gwizdka and Abhra Sarkar Vijay Rajanna (Texas A&M University)
Short Long paper
11:40-12:00
Hand- and Gaze-Control of Telepresence Robots
Guangtao Zhang (Technical University of Denmark), and John Paulin
Hansen (Technical University of Denmark), and Katsumi Minakata
(Technical University of Denmark)
Long paper
12:00-13:00 Lunch break (Lockwood)
26 Wednesday 6.26.19 27Session 2 Session 2
Calibration, Cognition, Smartphones, Session Chair: Scott MacKenzie
& Sequences (York University, Canada)
Session Chair: Izabela Krejtz 13:00-13:20
SacCalib: Reducing Calibration Distortion for Stationary
13:00-15:00 Eye Trackers Using Saccadic Eye Movements
(Humboldt) Michael Xuelin Huang (Max Planck Institute for Informatics) and Andreas
Bulling (University of Stuttgart)
Gaze Behaviour on Interacted Objects during Hand Interaction Long paper
in Virtual Reality for Eye Tracking Re-calibration
Ludwig Sidenmark and Anders Lundström 13:20-13:40
Long SaccadeMachine: Software for Analyzing Saccade Tests
(Anti-Saccade and Pro-saccade)
7LPHDQG6SDFHHI¿FLHQW(\H7UDFNHU&DOLEUDWLRQ Diako Mardanbegi (Lancaster University, Lancaster, UK), Thomas
Heiko Drewes, Ken Pfeuffer, and Florian Alt Wilcockson (Lancaster University, Lancaster, UK), Pete Sawyer (Aston
Long University, Birmingham, UK), Hans Gellersen (Lancaster University,
Lancaster, UK), and Trevor Crawford (Lancaster University, Lancaster, UK)
Task-embedded online eye-tracker calibration for improving Long paper
robustness to head motion
Jimin Pi and Bertram E. Shi 13:40-14:00
Long GazeButton: Enhancing Buttons with Eye Gaze Interactions
Sheikh Radiah Rahim Rivu (Bundeswehr University Munich ), Yasmeen
Reducing Calibration Drift in Mobile Eye Trackers by Abdrabou (German University in Cairo), Thomas Mayer (Ludwig Maximilian
Exploiting Mobile Phone Usage University of Munich), Ken Pfeuffer (Bundeswehr University Munich), and
Philipp Müller, Daniel Buschek, Michael Xuelin Huang, Florian Alt (Bundeswehr University Munich)
and Andreas Bulling Long paper
Long
14:00-14:20
Aiming for Quiet Eye in Biathlon Impact of Variable Position of Text Prediction in Gaze-based Text Entry
Dan Witzner Hansen, Amelie Heinrich, and Rouwen Cañal-Bruland Korok Sengupta (University of Koblenz-Landau), Raphael Menges
Long (University Koblenz-Landau), Chandan Kumar (University of Koblenz-
Landau), and Steffen Staab (Institut WeST, University Koblenz-Landau and
WAIS, University of Southampton)
Long paper
14:20-14:35
Inducing Gaze Gestures by Static Illustrations
Pivi Majaranta (Tampere University ), Jari Laitinen (Tampere University),
Jari Kangas (Tampere University), and Poika Isokoski (Tampere University)
Short paper
14:35-15:00
Closing Session and Best COGAIN Paper Award
28 Wednesday 6.26.19 29POSTERS Fast Forward Session / ET4S ET4S 2019 Long and Short Papers Presented as Talks
Wednesday, June 26, 2019, 15:30-18:00
• W!NCE: Eyewear Solution for Upper Face Action Units Monitoring
• A Gaze-Based Experimenter Platform for Designing and Evaluating Adaptive Interventions in (Pike’s Peak)
Information Visualizations
• PrivacEye: Privacy-Preserving Head-Mounted Eye Tracking Using Egocentric Scene Image and
Eye Movement Features
Session 1
• iLid: Eyewear Solution for Low-power Fatigue and Drowsiness Monitoring Eye Tracking for Spatial Reseaerch
• Get a Grip: Slippage-Robust and Glint-Free Gaze Estimation for Real-Time Pervasive Head-
Mounted Eye Tracking
• Estimation of Situation Awareness Score and Performance Using Eye and Head Gaze for
Session Chair: Peter Kiefer
Human-Robot Collaboration
• When you don’t see what you expect: incongruence in music and source code reading 15:30-16:30
• Eye-tracking based Fatigue and Cognitive Assessment
• Pupil Diameter as a Measure of Emotion and Sickness in VR
Eye Tracking in Mixed Reality and its Promises for Spatial Research
• Accessible Control of Telepresence Robots based on Eye-Tracking Sophie Stellmach
• The vision and interpretation of paintings: bottom-up visual processes, top-down culturally Invited Talk
informed attention, and aesthetic experience.
• Attentional orienting in real and virtual 360-degree environments: application to aeronautics
• Motion Tracking of Iris Features for Eye tracking 16:30-16:50
• Automatic quick-phase detection in bedside recordings from patients with acute dizziness and GeoGCD: Improved Visual Search via Gaze-Contingent Display
nystagmus
.HQDQ%HNWDú$U]Xd|OWHNLQ-HQV.UJHU$QGUHZ7'XFKRZVNL
• Towards a Data-driven Framework for Realistic Self-Organized Virtual Humans: Coordinated
Head and Eye movements and Sara Irina Fabrikant
0LFURVDFFDGLFDQG3XSLOODU\5HVSRQVHWR7DFWLOH7DVN'LI¿FXOW\ Long
/RRNV&DQ0HDQ$FKLHYLQJ 8QGHUVWDQGLQJ(\H*D]H3DWWHUQVRI3UR¿FLHQF\LQ&RGH
Comprehension
• High-Resolution Eye Tracking Using Scanning Laser Ophthalmoscopy 16:50-17:10
• Eye movements during reading and reading assessment in Swedish school children – a new Eye gaze and head gaze in collaborative games
ZLQGRZRQUHDGLQJGLI¿FXOWLHV Oleg Špakov, Howell Istance, Kari-Jouko Räihä, Tiia Viitanen,
• GazeVR: A Toolkit for Developing Gaze Interactive Applications in VR/AR
,PSURYLQJ5HDO7LPH&11%DVHG3XSLO'HWHFWLRQ7KURXJK'RPDLQ6SHFL¿F'DWD$XJPHQWDWLRQ and Harri Siirtola
• Reading Detection in Real-time Long
([SORULQJ6LPSOH1HXUDO1HWZRUN$UFKLWHFWXUHVIRU(\H0RYHPHQW&ODVVL¿FDWLRQ
• EyeVEIL: Degrading Iris Authentication in Eye-Tracking Headsets
• Remote Corneal Imaging by Integrating a 3D Face Model and an Eyeball Model 17:10-17:30
• Detecting cognitive bias in a relevance assessment task using an eye tracker Attentional orienting in virtual reality using endogenous
5DQGRPIHUQVIRUDUHDRILQWHUHVWIUHHVFDQSDWKFODVVL¿FDWLRQ and exogenous cues in auditory and visual modalities
• TobiiGlassesPySuite: An open-source suite for using the Tobii Pro Glasses 2 in eye-tracking
studies Rébaï Soret, Pom Charras, Christophe Hurter, and Vsevolod
• SeTA: Semiautomatic Tool for Annotation of Eye Tracking Images Peysakhovich
• A Fitts’ Law Study of Pupil Dilations in a Head-Mounted Display Long
)DFWRUV,QÀXHQFLQJ'ZHOO7LPH'XULQJ6RXUFH&RGH5HDGLQJ $/DUJH6FDOH5HSOLFDWLRQ
Experiment
• Calibration-free Text Entry using Smooth Pursuit Eye Movements 17:30-17:50
• Analyzing Gaze Transition Behavior Using Bayesian Mixed Effects Markov Models POITrack: Improving Map-Based Planning with Implicit POI Tracking
• Quantifying and Understanding the Differences in Visual Activities with Contrast Subsequences
• A Deep Learning Approach for Robust Head Pose Independent Eye movements recognition Fabian Göbel and Peter Kiefer
from Videos Long
• A Gaze Model Improves Autonomous Driving
• Inferring target locations from gaze data: A smartphone study
• Boosting Speed- and Accuracy of Gradient based Dark Pupil Tracking using Vectorization and 17:50-18:00
Differential Evolution *D]HDZDUHQHVVLPSURYHVFROODERUDWLRQHI¿FLHQF\
in a collaborative assembly task
The poster fast forward session will feature lightning talks from all ETRA short papers, doctoral
symposium, videos and demos
Haofei Wang and Bertram E. Shi
Short
30 Wednesday 6.26.19 31ETRA 2019 POSTERS, PRE-FUNCTION SPACE
S5 Improving Real Time CNN-Based Pupil Detection Through Domain- S74 A Fitts Law Study of Pupil Dilations in a Head-Mounted Display
6SHFL¿F'DWD$XJPHQWDWLRQ Per Bækgaard (Technical University of Denmark), John Paulin Hansen
Shahram Eivazi (Eberhard Karls Universität Tübingen), Thiago Santini (Technical University of Denmark), Katsumi Minakata (Technical
(Eberhard Karls Universität Tübingen), Alireza Keshavarzi (Eberhard University of Denmark), and I. Scott MacKenzie (York University)
Karls Universität Tübingen), Thomas Kübler (Eberhard Karls S83 )DFWRUV,QÀXHQFLQJ'ZHOO7LPH'XULQJ6RXUFH&RGH5HDGLQJ $/DUJH
Universität Tübingen), and Andrea Mazzei (Cortical Arts GmbH) Scale Replication Experiment
S13 Reading Detection in Real-time Cole Peterson (University of Nebraska - Lincoln), Nahla Abid (Kent
Conor Kelton (Stony Brook University), Zijun Wei (Stony Brook State University), Corey Bryant (Kent State University), Jonathan
University), Seoyoung Ahn (Stony Brook University), Aruna Maletic (Kent State University), and Bonita Sharif (University of
Balasubramanian (Stony Brook University), Samir R. Das (Stony Nebraska - Lincoln)
Brook University), Dimitris Samaras (Stony Brook University), and S91 Calibration-free Text Entry using Smooth Pursuit Eye Movements
Gregory Zelinsky (Stony Brook University) Yasmeen Abdrabou (German University in Cairo (GUC)), Mariam
S26 Exploring Simple Neural Network Architectures for Eye Movement Mostafa (German University in Cairo (GUC)), Mohamed Khamis
&ODVVL¿FDWLRQ (University of Glasgow), and Amr Elmougy (German University in Cairo
Jonas Goltz (Department of Computer Science and Mathematics, (GUC))
Munich University of Applied Sciences), Michael Grossberg S103 Analyzing Gaze Transition Behavior Using Bayesian Mixed Effects
(Department of Computer Science, City College of New York/CUNY), Markov Models
and Ronak Etemadpour (Department of Computer Science, City Islam Akef Ebeid (The University of Texas at Austin), Nilavra
College of New York/CUNY) Bhattacharya (The University of Texas at Austin), Jacek Gwizdka (The
S32 EyeVEIL: Degrading Iris Authentication in University of Texas at Austin), and Abhra Sarkar (The University of
Eye-Tracking Headsets Texas at Austin)
Brendan John (University of Florida), Sanjeev Koppal (University of S111 Quantifying and Understanding the Differences in Visual Activities with
Florida), and Eakta Jain (University of Florida) Contrast Subsequences
S34 Remote Corneal Imaging by Integrating a 3D Face Model and an Yu Li (University of Missouri - Columbia), Carla Allen (University of
Eyeball Model Missouri - Columbia), and Chi-Ren Shyu (University of Missouri -
Takamasa Utsu (Tokai University) and Kentaro Takemura (Tokai Columbia)
University) S115 A Deep Learning Approach for Robust Head Pose Independent Eye
S58 Detecting cognitive bias in a relevance assessment task using an eye movements recognition from Videos
tracker Remy Siegfried (Idiap Research Institute), Yu Yu (Idiap Research
Christopher G. Harris (University of Northern Colorado) Institute), and Jean-Marc Odobez (Idiap Research Institute)
S62 5DQGRPIHUQVIRUDUHDRILQWHUHVWIUHHVFDQSDWKFODVVL¿FDWLRQ S119 A Gaze Model Improves Autonomous Driving
Wolfgang Fuhl (Eberhard Karls Universität Tübingen), Nora Castner Congcong Liu (The Hong Kong University of Science and Technology),
(Eberhard Karls Universität Tübingen), Thomas Kübler (Eberhard Yuying Chen (The Hong Kong University of Science and Technology),
Karls Universität Tübingen), Alexander Lotz (Daimler AG), Wolfgang Lei Tai (The Hong Kong University of Science and Technology),
Rosenstiel (Eberhard Karls Universität Tübingen), and Enkelejda Haoyang Ye (The Hong Kong University of Science and Technology),
Kasneci (University of Tübingen) Ming Liu (The Hong Kong University of Science and Technology), and
S65 TobiiGlassesPySuite: An open-source suite for using the Tobii Pro Bertram Shi (The Hong Kong University of Science and Technology)
Glasses 2 in eye-tracking studies S125 Inferring target locations from gaze data: A smartphone study
Davide De Tommaso (Istituto Italiano di Tecnologia) and Agnieszka Stefanie Mueller (ZPID - Leibniz Institute of Psychology Information)
Wykowska (Istituto Italiano di Tecnologia) S130 Boosting Speed- and Accuracy of Gradient based Dark Pupil Tracking
S70 SeTA: Semiautomatic Tool for Annotation of Eye Tracking Images using Vectorization and Differential Evolution
Andoni Larumbe (public university of navarra), Sonia Porta (public André Frank Krause (Mediablix IIT GmbH) and Kai Essig (Rhine-Waal
university of navarra), Rafael Cabeza (public university of navarra), University of Applied Sciences)
and Arantxa Villanueva (public university of navarra)
32 Wednesday 6.26.19 33You can also read
