Research

Information about Research

Published on May 2, 2008

Author: Manuele

Source: authorstream.com

Content

Research Overview:  Research Overview Research Overview:  Research Overview VR Online Communities Communication Collaboration Olympic Games Privacy Virtual Reality:  Virtual Reality Virtual reality Designing physical environments Simulator sickness Social Dilemma Experiments:  Social Dilemma Experiments Tension between common good and individual greed Group benefits by collaborating Individual benefits by tricking others Examine how different environments affect collaboration and trust Social Dilemmas – Effect of Communication Modality:  Social Dilemmas – Effect of Communication Modality “The Effect of Communication Modality on Cooperation in Online Environments” Proceedings of ACM Conference on Human Factors in Computing Systems: CHI 2000 Social Reputation Systems - Profiles & Social Networks:  Social Reputation Systems - Profiles & Social Networks User profile Social network Relation to me “Finding Others Online: Reputation Systems for Social Online Spaces” Proceedings of ACM Conference on Human Factors in Computing Systems: CHI 2002 Olympic Games:  Olympic Games Olympic Games Supporting large organizations HCI in real-time/ critical systems Commentator Information System Getting free tickets Research Overview:  Research Overview VR Online Communities Communication Collaboration Olympic Games Privacy Motivation:  Motivation Privacy & Security in part a awareness and management problem Users need help to make informed and correct decisions Users largely unaware of privacy and security issues something bad happens Even when they do get involved, interfaces are typically inadequate Challenges in Privacy-Aware Design:  Challenges in Privacy-Aware Design Two lines of research: Understand users; expectations, mental models, and the tradeoffs users they make with regards to personal privacy Understand design; developing methods to structure the identification and analysis of privacy vulnerabilities as part of the design process Privacy Surveys & Experiments:  Privacy Surveys & Experiments Observe users as well as ask for self-ratings Force tradeoffs, find priorities Components: Demographic Privacy questions Knowledge challenge E-commerce experiment 175 volunteer subjects completed whole experiment Population Predominantly male (74%) Predominantly US (95%) More educated than average High computer expertise Normal mix of concerns Carlos Jensen, Colin Potts, Christian Jensen. “Privacy Practices of Internet Users: Self-report versus Observed Behavior” International Journal of Human Computer Studies special issue on HCI Research in Privacy and Security. October 2005. Knowledge Challenge:  Knowledge Challenge What do people actually know about online privacy? People are very overconfident Especially for “well-known” technologies Survey results must be taken with a grain of salt Actual knowledge of risks abysmal E-commerce Experiment:  E-commerce Experiment We know what people say they look at before buying online Does observed behavior match stated behavior? What are the most influential factors? How strong are these priorities? Force tradeoffs, find priorities E-commerce Experiment:  E-commerce Experiment We know what people say they look at before buying online Does observed behavior match stated behavior? What are the most influential factors? How strong are these priorities? Force tradeoffs, find priorities 12 Variables 20% Discount Credit Card Symbols SSL Blocked Cookies/P3P Contact Telephone Contact Address Contact Email Privacy Seal 4 privacy policies User oriented – Good User oriented – Bad Company oriented – Good Company oriented – Bad 66 possible combinations 1200+ observations Experimental Results:  Experimental Results Sub-populations differ in their models Gender Westin privacy segmentation Experience Why is this useful? Tells us a what people look for Identify perception gap Lessons for UI design Users looking for trust markers Trust policies, but don’t read them Prone to wrong assumptions Indifferent to important markers iWatch Privacy Management:  iWatch Privacy Management Web privacy Scarce information Lack of awareness Lack of options Putting users in charge Own evaluation Own filtering/blocking Two components Web Crawler Proxy/UI Central Server User PC iWatch Crawler:  iWatch Crawler Index 1 million+ web-pages/week 180,000+ unique domains Seeded with most visited sites Indexes on 21 criteria Web-bugs / 3rd party resources (187,000) Cookies (395,000) P3P policies and mismatches (41,500) Track history of changes Detect trends & impact of regulation/court action/other Detects information sharing networks Top 20 3rd Party-Resource Servers:  Top 20 3rd Party-Resource Servers graphics.fansonly.com graphics.ocsn.com server-au.imrworldwide.com i.cmpnet.com welcome.hp-ww.com www.qksrv.net dw.com.com pics.ebaystatic.com server-dk.imrworldwide.com ehg-dig.hitbox.com server-us.imrwordwide.com pagead2.googlesyndication.com switch.atdmt.com hostingprod.com ehg-findlaw.hitbox.com view.atdmt.com incude.ebaystatic.com images.findlaw.com ads.api.no ad.doubleclick.net Of the top 20 3rd party-resource servers: 70% are ad-servers or marketers 30% are dedicated image or script servers Slide21:  pics.ebaystatic.com include.ebaystatic.com graphics.fansonly.com graphics.ocsn.com Web-bugs & Ad-servers iWatch Client:  iWatch Client Crawler data interesting, but overwhelming Not interested to users Not usable Survey says users want simple ratings Derive risk profiles/scores Make things visible Informing without distracting User care about privacy, but not primary goal iWatch Client Prototype:  iWatch Client Prototype How much information is appropriate? How to present that information What settings do people settle on? Basic information for how to build future UI’s Current/Future:  Current/Future Olympic Commentator Information System Privacy Awareness Open Source Software & Usability

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