Research Methodology Course 2012-03-15

Brief overview of thesis project areas presented as part of a PhD course in research methodology.

Transcript

1. Supporting Mobile Digital Life through Context-Aware Adaptive Systems Fredrik Ohlin Dept. of Computer Science, School of Technology
2. http://www.flickr.com/photos/adactio/6800969243/
3. A Brief History of Computing Platforms: http:/ /www.youtube.com/ watch?v=8h-C6u4yLj4
4. http://www.asymco.com/2012/01/17/the-rise-and-fall-of-personal-computing/
7. 1 trillion (as in 1,000,000,000,000) unique URLs on the web at once the number of individual web pages out there is growing by several billion pages per day —as noticed by Google, 2008 http://googleblog.blogspot.com/2008/07/we-knew-web-was-big.html
9. Image: Peter Morville and Jeffery Callender
10. Person Context Task Need http://www.flickr.com/photos/quasproduction/5669594731/
11. Human Information Behavior Context-Aware Adaptive Systems
12. HIB
14. -How are information need questions parsed by experts? -Open-ended, unstructured interviews. R. S. Taylor, “Question-Negotiation and Information-Seeking in Libraries,” Center for the Information Sciences, Lehigh University, 3, 1967.
15. -What information needs are experienced by mobile users? -Diary study 2 weeks, N=20, 421 entries (21 per person; min:7 max:45 SD:10.5) T. Sohn, K. Li, and W. Griswold, “A diary study of mobile information needs,” Proceedings of the twenty-sixth annual SIGCHI conference on Human factors in computing systems, 2008.
16. -What goals do search engine users have? 1 -Online survey N=3190, response rate 10% A. Broder, “A taxonomy of web search,” ACM Sigir forum, 2002.
17. -What goals do search engine users have? 2 -Query log analysis Random sample of AltaVista 500 queries D. E. Rose and D. Levinson, “Understanding user goals in web search,” Proceedings of the 13th international conference on World Wide Web, pp. 13–19, 2004.
18. Context-Aware System Adaptive Interface System Intelligent Interface System
20. S. T. March and G. F. Smith, “Design and natural science research on information technology,” Decision support systems, vol. 15, no. 4, pp. 251–266, 1995.
21. -Methods used for user-centered evaluation (n = 63) R. Klaassen and M. Ë. Steehouder, “User-centered evaluation of adaptive and adaptable systems: a literature review,” The knowledge engineering review, vol. 23, no. 3, pp. 261–281, 2008.
22. -What key contextual factors affect the user experience at large sporting events? -”A combination of self-report, experimenter observation, and co-enquiry was used” X. Sun and A. May, “The role of spatial contextual factors in mobile personalization at large sports events,” Personal and Ubiquitous Computing, vol. 13, no. 4, pp. 293–302, 2009. →Design Implications for Mobile Personalization
23. -How does walking speed affect selection and reading performance? -Quasi-experiment N=16, 4 settings, quant and qual measures B. Schildbach and E. Rukzio, “Investigating selection and reading performance on a mobile phone while walking,” Proc. of the 12th int. conf. on Human computer interaction with mobile devices and services, pp. 93–102, 2010.
24. Hur kan mobila användare stödjas, bland annat avseende personlig informationshantering och informationsbehov (omedelbart och långsiktigt, respektive medvetet och omedvetet), med kontextmedvetna adaptiva system?
25. Hur kan system på mobila enheter agera autonomt för att stödja användaren i olika typer av uppgifter? Hur kan ansvarsfördelningen mellan användare och system anpassas efter vad som är lämpligt för den aktuella situationen?
26. Vilka signaler (sensordata, personlig profil, aggregerad beteendedata på individ- och gruppnivå, explicit anpassning, och annat) kan gynnsamt användas för att avgöra en mobil användares situation, med hänsyn till såväl fysiskt och digitalt kontext som användare och uppgift?