Blue moon Authentication - UI concepts, Problems and recommendation Agradoot Ghatak UED-IDC
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It’s a password reset technology Blue Moon authentication technology takes an entirely different approach from traditional W hat ? password reset schemes and thereby resists common attacks. It authenticates you by knowing what you like and dislike.
Reduced online fraud from password theft. Personal preferences are more stable than long-term W hy ? memory. This is based on well known in psychology research. A system based on personal preferences is also less vulnerable to data-mining attacks than one that relies on more easily searchable facts.
A ssumption ? People lie to increase security then forgot. Avoid memory Use preferences. Preferences are not forgotten, change rather slowly.
The researchers, Anya Hurlbert and Yazhu Ling of Newcastle D rivers University, the United Kingdom, found that women tend to prefer pink – or, at least a redder shade – while men fancy blue. Human preferences are fuzzy. ( Cricket is the most favorite game Likes and dislike ) are largely in India. But nobody knows in driven by – Latin America. - Gender - Age The second best favorite food is - Ethnicity Italian, Third is Chinese, Fourth is Indian. - Economic stand - Social stand - Religion The popularity of Bill Clinton After Gulf war is drastically fallen. - Physique - Division of labor etc The importance of any consensus of people's likes and dislikes, and the practical value thereof, are often obtunded by the large variances of human hedonic behavior within and between people. RUBACKY E. P, ASTM special technical publication
Human preferencesUmm. are fuzzy. ( Ambiguous ! Likes and dislike ) are largely driven by – - Gender The Problem 1 - - Age I never hard it - Ethnicity If you don’t know - Economic stand what is it, How can - Social stand - Religion you vote for it. - Physique - Division of labor etc What is it ?
The Problem 2 - Korean prefer Martial Media channel, newspaper, art more than Market researcher often do Chinese many survey about public penetration. The common likes and dislikes are collected In Brazil soccer is either from online survey or in- everybody’s field feedback. Later applying favorite it is rather easy to derive a continuous probability distribution function if sampling is correctly taken. Hence not free from data mining. In India those who play Golf are mostly extreme rich, urban and aged.
In a clever experimental design, The Problem 3 - Marcus, et al (1995) tested the validity of the rational choice model, the Likes and dislikes are based symbolic politics model, and their own on affective intelligence model. First, subjects were given the opportunity to -Emotion, Emotion goes on rate a wide variety of different groups according to their likes and dislikes. and off for everyone This procedure enabled subjects to “rely on their previously secured -Thinking affective disposition ...” Two weeks later the same subjects were confronted with -Feeling alternative scenarios involving actions of groups that they had rated as “least- liked.” -And these are subject to change. How does a person recall from long term memory about the preferences set for one website, if likes and dislikes plays highly cognitive ?
The Problem 4 - Security vs. Usability Any online form filling is a bitter task. Good design should Is it really certainly reduce number of possible to clicks. This authentication avoid demands more user clicks. memory ? There is a high rated chance of either user randomly click and desperate to complete the task or can chose 1st or last six items blindly as to save time and frustration .
Blue moon Authentication Proposals
Proposal – 1(a)
Proposal – 1(a) A text phrase require knowledge, but a shape is only about a feeling, emotion and thinking. The same image an American assumes a coffee mug but a Mongolian may think an ostrich egg. No matter.
Proposal – 1(b) Design images considering the Psychology of human fascination about shapes and images. “In our studies at Leicester University of some everyday likes and dislikes, we compared the responses of children of various ages and of young adults. Instead of artificially making subjects familiar with various materials by repeated exposures during the experiment, we have used objects which, for cultural reasons, are already to varying degrees familiar to people of different ages. We have thus investigated materials ranging from complete novelty to extremely high The psychology of levels of familiarity indeed.” human fancy – Andrew Colman and Wladyslaw Sluckln
Proposal – 1(c) Images are to design with extreme care that – They should not look visually biased. Example- ( Don’t use ) Natures beauty Well composed Foods that Erotic Avoid common ( sunrise, sunset images everyone prefer ( sex sells interest images etc ) ( rule of third aka ( ice-cream ) everywhere ) like flower, photography) children etc. Human psychological development also involves preferences for the familiar .
Things that are easier to picture are easier to understand. Proposal – 1(d) Misc- - Design images with line art, vector shape and 4-8 bit color depth. It will also resolve accessibility issue. ( will help to reduce loading time ) - Design Images with same style and shade in terms of patterns. Like XP, Vista, Mac define an unique Blue moon style for showing images. - Using likes and dislike smiley is a very good usable approach. Current Loading time is too much.!
Proposal – 2 I know if I click this I will able to see list of food picture. Use iconic tabbing rather text based tab. Do not But If I click on increase tab more than five. ‘Music’ can I see Using a textual category will always create a mental segmentation the image of even long before visiting the actual tab. saxophone ? Or As we required selecting of images only for authentication, the photo of Cliff categorizing may perceive a feel of restriction. Essentially when Richard ? you wont find as per your presumption, it tends longer time to select also.
Proposal – 3 Ahh. I can not able to select first six as my likes and the Randomize image position with every forget next six are my attempt. dislikes. The Helps to focus user’s preferences only on the image he likes or pictures are not dislikes but not on the display geometry. stable.
Proposal – 4 Except this football I dislike everything. Reduce number of dislikes. I can not actually Helps to reduce number of clicks and selection as likes are always dislike this but easy to say than dislike. Therefore dislikes are easy to forget in somehow not liking terms of long term memory. We can reduce the number of dislikes. also. Well click and proceed for now. Later I will see. An Overly Optimistic Attitude towards Life Leads to a Dulling of Emotion
The success of Blue Moon authentication lies how efficiently we can optimize the ‘Somewhat like’. And ‘Don’t know’ subset area.
Future Research required 1. Duration of persistence – Human preferences. And how much shot term ( cognitive memory ) used. 2. Psychological justification for Fuzzy mathematical model ( Fuzzy set ) in terms of human preferences. How far can we hack behavioral preferences using fuzzy logic theory. ?
The practice of simplicity Simplicity is not the goal. It is the by-product of a good idea and modest expectations.- Paul Rand Agradoot Ghatak PayPal IDC
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