Systems That Adapt to Their Users

The Human-Computer Interaction Handbook: Fundamentals, Evolving Technologies, and Emerging Applications, Third Edition

Volumn , Issue , 2012, Pages 431-456

  Jameson, Anthony ^a   Gajos, Krzysztof Z ^b  

^a GERMAN RESEARCH CENTER FOR ARTIFICIAL INTELLIGENCE DFKI   (Germany)

^b HARVARD UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 85051479539     PISSN: None     EISSN: None     Source Type: Book    
DOI: 10.1201/b11963-ch-19     Document Type: Chapter

References (105)

1. Aleven, V., B. M. McLaren, J. Sewall, and K. R. Koedinger. 2009. A new paradigm for intelligent tutoring systems: Example-tracing tutors. Int J Artif Intell Educ 19(2): 105-54.
2. Barnard, L., J. Yi, J. Jacko, and A. Sears. 2007. Capturing the effects of context on human performance in mobile computing systems. Pers Ubiquitous Comput 11(2): 81-96.
3. Bartlett, M. S., G. Littlewort, I. Fasel, and J. R. Movellan. 2003. Real time face detection and facial expression recognition: Development and applications to human computer interaction. In Proceedings of the Workshop on Computer Vision and Pattern Recognition for Human-Computer Interaction at the 2003 Conference on Computer Vision and Pattern Recognition, 53-8. New York: IEEE.
4. Beales, H. 2010. The Value of Behavioral Targeting. Study sponsored by the Network Advertising Initiative. http://www. net workadvertising.org/pdfs/Beales_NAI_Study.pdf. Accessed date: October 1st, 2011.
5. Bergman, E., and E. Johnson. 1995. Towards accessible human-computer interaction. Adv Hum Comput Interact 5(1). In Advances in Human-Computer Interaction, ed. J. Nielsen, 87-114. Norwood, NJ: Ablex.
6. Billsus, D., D. Hilbert, and D. Maynes-Aminzade. 2005. Improving proactive information systems. In IUI 2005: International Conference on Intelligent User Interfaces, ed. J. Riedl, A. Jameson, D. Billsus, and T. Lau, 159-66. New York: ACM.
7. Billsus, D., and M. J. Pazzani. 2007. Adaptive news access. In The Adaptive Web: Methods and Strategies of Web Personalization, ed. P. Brusilovsky, A. Kobsa, and W. Nejdl, 550-72. Berlin, Germany: Springer.
8. Bontcheva, K., and Y. Wilks. 2005. Tailoring automatically generated hypertext. User Model User-adapt Interact 15: 135-68.
9. Brettel, H., F. Viénot, and J. D. Mollon. 1997. Computerized simulation of color appearance for dichromats. J Opt Soc Am A 14(10): 2647-55.
10. Brusilovsky, P., A. Kobsa, and W. Nejdl, eds. 2007. The Adaptive Web: Methods and Strategies of Web Personalization. Berlin, Germany: Springer.
11. Brzozowski, M. J., T. Hogg, and G. Szabo. 2008. Friends and foes: Ideological social networking. In Human Factors in Computing Systems: CHI 2008 Conference Proceedings, ed. M. Burnett, M. F. Costabile, T. Catarci, B. de Ruyter, D. Tan, M. Czerwinski, and A. Lund, 817-20. New York: ACM.
12. Budzik, J., K. Hammond, and L. Birnbaum. 2001. Information access in context. Knowl Based Syst 14: 37-53.
13. Bunt, A., G. Carenini, and C. Conati. 2007. Adaptive content presentation for the web. In The Adaptive Web: Methods and Strategies of Web Personalization, ed. P. Brusilovsky, A. Kobsa, and W. Nejdl, 409-32. Berlin, Germany: Springer.
14. Bunt, A., C. Conati, and J. McGrenere. 2007. Supporting interface customization using a mixed-initiative approach. In IUI 2007: International Conference on Intelligent User Interfaces, ed. T. Lau and A. R. Puerta. New York: ACM.
15. Burke, R. D., K. J. Hammond, and B. C. Young. 1997. The FindMe approach to assisted browsing. IEEE Expert 12(4): 32-40.
16. Canadian Marketing Association 2009. Behavioural advertising: Why consumer choice matters. Published on-line as part of the CMA Leadership Series at http://www.the-cma.org/marketingresources/downloads/2009BehaviouralAdvertising.pdf. Latest access: October 1st, 2011.
17. Carmagnola, F., F. Vernero, and P. Grillo. 2009. SoNARS: A social networks-based algorithm for social recommender systems. In Proceedings of UMAP 2009, the 17th international Conference on User Modeling, Adaptation, and Personalization, 223-234. Berlin, Springer
18. Cawsey, A., F. Grasso, and C. Paris. 2007. Adaptive information for consumers of healthcare. In The Adaptive Web: Methods and Strategies of Web Personalization, ed. P. Brusilovsky, A. Kobsa, and W. Nejdl, 465-84. Berlin, Germany: Springer.
19. Chen, J., W. Geyer, C. Dugan, M. Muller, and I. Guy. 2009. “Make new friends, but keep the old”-Recommending people on social networking sites. In Human Factors in Computing Systems: CHI 2009 Conference Proceedings, ed. S. Greenberg, S. Hudson, K. Hinckley, M. R. Morris, and D. R. Olsen, 201-10. New York: ACM.
20. Chen, W., D. Zhang, and E. Y. Chang. 2008. Combinational collaborative filtering for personalized community recommendation. In Proceedings of the Fourteenth International Conference on Knowledge Discovery and Data Mining, 115-123. New York: ACM.
21. Conati, C., and C. Merten. 2007. Eye-tracking for user modeling in exploratory learning environments: An empirical evaluation. Knowl Based Syst 20(6): 557-74.
22. Cranor, L. F. 2004. ‘I didn’t buy it for myself’: Privacy and ecommerce personalization. In Designing Personalized User Experiences in Ecommerce, ed. C. Karat, J. Blom, and J. Karat, 57-74. Dordrecht, The Netherlands: Kluwer.
23. Daly, E. M., W. Geyer, and D. R. Millen. 2010. The network effects of recommending social connections. In Proceedings of the Fourth ACM Conference on Recommender Systems, ed. P. Resnick, M. Zanker, X. Amatriain, and M. Torrens, 301-4. New York: ACM.
24. Dietterich, T. G., X. Bao, V. Keiser, and J. Shen. 2010. Machine learning methods for high level cyber situation awareness. In Cyber Situational Awareness: Issues and Research, ed. S. Jajodia, P. Liu, V. Swarup, and C. Wang. New York: Springer.
25. Ehrlich, K., C. Lin, and V. Griffiths-Fisher. 2007. Searching for experts in the enterprise: Combining text and social network analysis. In Proceedings of the 2007 International ACM Conference on Supporting Group Work, 117-26. New York: ACM.
26. Federal Trade Commission, T. 2009. Federal Trade Commission Staff Report: Self-Regulatory Principles for Online Behavioral Advertising. http://www.ftc.gov/os/2009/02/P085400behavad report.pdf. Latest access: October 1st, 2011.
27. Findlater, L., and K. Z. Gajos. 2009. Design space and evaluation challenges of adaptive graphical user interfaces. AI Mag 30(4): 68-73.
28. Findlater, L., and J. McGrenere. 2008. Impact of screen size on performance, awareness, and user satisfaction with adaptive graphical user interfaces. In Human Factors in Computing Systems: CHI 2008 Conference Proceedings, ed. M. Burnett, M. F. Costabile, T. Catarci, B. de Ruyter, D. Tan, M. Czerwinski, and A. Lund, 1247-56. New York: ACM.
29. Findlater, L., and J. McGrenere. 2010. Beyond performance: Feature awareness in personalized interfaces. Int J Hum Comput Stud 68(3): 121-37.
30. Findlater, L., K. Moffatt, J. Mc Grenere, and J. Dawson. 2009. Ephemeral adaptation: The use of gradual onset to improve menu selection performance. In Human Factors in Computing Systems: CHI 2009 Conference Proceedings, ed. S. Greenberg, S. Hudson, K. Hinckley, M. R. Morris, and D. R. Olsen., 1655-64 New York: ACM.
31. Gajos, K. Z., M. Czerwinski, D. S. Tan, and D. S. Weld. 2006. Exploring the design space for adaptive graphical user interfaces. In Proceedings of the 2006 Conference on Advanced Visual Interfaces, 201-8. New York: ACM.
32. Gajos, K. Z., D. S. Weld, and J. O. Wobbrock. 2010. Automatically personalized user interfaces with Supple. Artif Intell 174(12-13): 910-50.
33. Gajos, K. Z., J. O. Wobbrock, and D. S. Weld. 2007. Automatically generating user interfaces adapted to users’ motor and vision capabilities. In Proceedings of the 20th Annual ACM Symposium on User Interface Software and Technology, 231-40. New York: ACM.
34. Gajos, K. Z., J. O. Wobbrock, and D. S. Weld. 2008. Improving the performance of motor-impaired users with automatically generated, ability-based interfaces. In Human Factors in Computing Systems: CHI 2008 Conference Proceedings, ed. M. Burnett, M. F. Costabile, T. Catarci, B. de Ruyter, D. Tan, M. Czerwinski, and A. Lund, 1257-66. New York: ACM.
35. Gervasio, M. T., M. D. Moffitt, M. E. Pollack, J. M. Taylor, and T. E. Uribe. 2005. Active preference learning for personalized calendar scheduling assistance. In IUI 2005: International Conference on Intelligent User Interfaces, ed. J. Riedl, A. Jameson, D. Billsus, and T. Lau, 90-7. New York: ACM.
36. Gutkauf, B., S. Thies, and G. Domik. 1997. A user-adaptive chart editing system based on user modeling and critiquing. In User Modeling: Proceedings of the Sixth International Conference, UM97, ed. A. Jameson, C. Paris, and C. Tasso, 159-70. Vienna: Springer Wien New York.
37. Hammond, N. 1987. Principles from the psychology of skill acquisition. In Applying Cognitive Psychology to User-Interface Design, ed. M. M. Gardiner and B. Christie, 163-88. Chichester, England: Wiley.
38. Heckmann, D. 2005. Ubiquitous User Modeling. Berlin: infix.
39. Hegner, S. J., P. McKevitt, P. Norvig, and R. L. Wilensky, eds. 2001. Intelligent Help Systems for UNIX. Dordrecht, The Netherlands: Kluwer.
40. Höök, K. 2000. Steps to take before IUIs become real. Interact Comput 12(4): 409-26.
41. Horvitz, E. 1999. Principles of mixed-initiative user interfaces. In Human Factors in Computing Systems: CHI 1999 Conference Proceedings, ed. M. G. Williams, M. W. Altom, K. Ehrlich, and W. Newman, 159-66. New York: ACM.
42. Hwang, F., S. Keates, P. Langdon, and J. Clarkson. 2004. Mouse movements of motion-impaired users: A submovement analysis. In Proceedings of the 6th International ACM SIGACCESS Conference on Computers and Accessibility, 102-9. New York: ACM.
43. Iachello, G., and J. Hong. 2007. End-user privacy in human-computer interaction. Found Trends Hum Comput Interact 1(1): 1-137.
44. Jameson, A. 2003. Adaptive interfaces and agents. In The Human-Computer Interaction Handbook: Fundamentals, Evolving Technologies and Emerging Applications, ed. J. A. Jacko and A. Sears, 305-30. Mahwah, NJ: Erlbaum.
45. Jameson, A. 2008. Adaptive interfaces and agents. In The Human-Computer Interaction Handbook: Fundamentals, Evolving Technologies and Emerging Applications, ed. A. Sears and J. A. Jacko, 2nd ed., 433-58. Boca Raton, FL: CRC Press.
46. Jameson, A. 2009. Understanding and dealing with usability side effects of intelligent processing. AI Mag 30(4): 23-40.
47. Jameson, A., and E. Schwarzkopf. 2002. Pros and cons of controllability: An empirical study. In Adaptive Hypermedia and Adaptive Web-Based Systems: Proceedings of AH 2002, ed. P. De Bra, P. Brusilovsky, and R. Conejo, 193-202. Berlin, Germany: Springer.
48. Jameson, A., and B. Smyth. 2007. Recommendation to groups. In The Adaptive Web: Methods and Strategies of Web Personalization, ed. P. Brusilovsky, A. Kobsa, and W. Nejdl, 596-627. Berlin, Germany: Springer.
49. Jefferson, L., and R. Harvey. 2006. Accommodating color blind computer users. In Proceedings of the Eighth International ACM SIGACCESS Conference on Computers and Accessibility, 40-7. New York: ACM.
50. Jefferson, L., and R. Harvey. 2007. An interface to support color blind computer users. In Human Factors in Computing Systems: CHI 2007 Conference Proceedings, ed. B. Begole, S. Payne, E. Churchill, R. S. Amant, D. Gilmore, and M. B. Rosson, 1535-8. New York: ACM.
51. Kane, S. K., J. O. Wobbrock, and I. E. Smith. 2008. Getting off the treadmill: Evaluating walking user interfaces for mobile devices in public spaces. In Proceedings of the 10th International Conference on Human Computer Interaction With Mobile Devices and Services, 109-18. New York: ACM.
52. Keates, S., P. Langdon, J. P. Clarkson, and P. Robinson. 2002. User models and user physical capability. User Model User-adapt Interact 12(2): 139-69.
53. Kelly, D., and J. Teevan. 2003. Implicit feedback for inferring user preference: A bibliography. ACM SIGIR Forum 37(2): 18-28.
54. Kobsa, A. 2007. Generic user modeling systems. In The Adaptive Web: Methods and Strategies of Web Personalization, ed. P. Brusilovsky, A. Kobsa, and W. Nejdl, 136-54. Berlin, Germany: Springer.
55. Krug, S. 2006. Don’t Make Me Think: A Common-Sense Approach to Web Usability, 2nd ed. Berkeley, CA: New Riders.
56. Krüger, A., J. Baus, D. Heckmann, M. Kruppa, and R. Wasinger. 2007. Adaptive mobile guides. In The Adaptive Web: Methods and Strategies of Web Personalization, ed. P. Brusilovsky, A. Kobsa, and W. Nejdl, 521-49. Berlin, Germany: Springer.
57. Krulwich, B. 1997. Lifestyle Finder: Intelligent user profiling using large-scale demographic data. AI Mag 18(2): 37-45.
58. Lanier, J. 1995. Agents of alienation. Interactions 2(3): 66-72.
59. Law, C. M., A. Sears, and K. J. Price. 2005. Issues in the categorization of disabilities for user testing. In Proceedings of HCI International. Mahwah, NJ: Lawrence Erlbaum Associates.
60. Li, W., J. Matejka, T. Grossman, J. Konstan, and G. Fitzmaurice. 2011. Design and evaluation of a command recommendation system for software applications. ACM Trans Comput Hum Interact 18(2), Article 6.
61. Lin, M., R. Goldman, K. J. Price, A. Sears, and J. Jacko. 2007. How do people tap when walking? An empirical investigation of nomadic data entry. Int J Hum Comput Stud 65(9): 759-69.
62. Linden, G., S. Hanks, and N. Lesh. 1997. Interactive assessment of user preference models: The automated travel assistant. In User Modeling: Proceedings of the Sixth International Conference, UM97, ed. A. Jameson, C. Paris, and C. Tasso, 67-78. Vienna: Springer Wien New York.
63. Liscombe, J., G. Riccardi, and D. Hakkani-Tür. 2005. Using context to improve emotion detection in spoken dialog systems. In Proceedings of the Ninth European Conference on Speech Communication and Technology, 1845-8. Grenoble: ISCA.
64. Lisetti, C. L., and F. Nasoz. 2004. Using noninvasive wearable computers to recognize human emotions from physiological signals. EURASIP J Appl Signal Process 11: 1672-87.
65. Liu, J., P. Dolan, and E. R. Pedersen. 2010. Personalized news recommendation based on click behavior. In IUI 2010: International Conference on Intelligent User Interfaces, ed. M. O. Cavazza and M. X. Zhou, 31-40. New York: ACM.
66. Mackay, W. E. 1991. Triggers and barriers to customizing software. In Human Factors in Computing Systems: CHI 1991 Conference Proceedings, ed. S. P. Robertson, G. M. Olson, and J. S. Olson, 153-60. New York: ACM.
67. Maes, P. 1994. Agents that reduce work and information overload. Commun ACM 37(7): 30-40.
68. Matejka, J., W. Li, T. Grossman, and G. Fitzmaurice. 2009. Community Commands: Command recommendations for software applications. In UIST 2009 Conference Proceedings: ACM Symposium on User Interface Software and Technology, 193-202. New York: ACM.
69. Matejka, J., T. Grossman, and G. Fitzmaurice. 2011. Ambient Help. In Human Factors in Computing Systems: CHI 2011 Conference Proceedings, ed. D. Tan, B. Begole, W. Kellogg, G. Fitzpatrick, and C. Gutwin. New York: ACM.
70. McGrenere, J., R. M. Baecker, and K. S. Booth. 2007. A field evaluation of an adaptable two-interface design for feature-rich software. Trans Comput Hum Interact 14(1), Article 3.
71. McLaren, B. M., K. E. DeLeeuw, and R. E. Mayer. 2011a. A politeness effect in learning with web-based intelligent tutors. Int J Hum Comput Stud 69: 70-9.
72. McLaren, B. M., K. E. DeLeeuw, and R. E. Mayer. 2011b. Polite web-based intelligent tutors: Can they improve learning in classrooms? Comput Educ 56: 574-84.
73. Mehta, B. 2009. Cross System Personalization: Enabling Personalization Across Multiple Systems. Saarbrücken, Germany: VDM Verlag.
74. Mislove, A., B. Viswanath, P. K. Gummadi, and P. Druschel. 2010. You are who you know: Inferring user profiles in online social networks. In Proceedings of the Third International Conference on Web Search and Web Data Mining, 251-60. New York: ACM.
75. Mitchell, T., R. Caruana, D. Freitag, J. McDermott, and D. Zabowski. 1994. Experience with a learning personal assistant. Commun ACM 37(7): 81-91.
76. Mitchell, J., and B. Shneiderman. 1989. Dynamic versus static menus: An exploratory comparison. SIGCHI Bull 20(4): 33-7.
77. Norman, D. A. 1994. How might people interact with agents? Commun ACM 37(7): 68-71.
78. Palen, L. 1999. Social, individual and technological issues for groupware calendar systems. In Human Factors in Computing Systems: CHI 1999 Conference Proceedings, ed. M. G. Williams, M. W. Altom, K. Ehrlich, and W. Newman, 17-24. New York: ACM.
79. Picard, R. W. 1997. Affective Computing. Cambridge, MA: MIT Press.
80. Pu, P., and L. Chen. 2008. User-involved preference elicitation for product search and recommender systems. AI Mag 29(4): 93-103.
81. Rhodes, B. J. 2000. Just-in-Time Information Retrieval. Dissertation, School of Architecture and Planning, Massachusetts Institute of Technology. Available from http://www.bradleyrhodes.com/Papers/rhodes-phd-JITIR.pdf; latest access: October 1st, 2011.
82. Rich, C. 2009. Building task-based user interfaces with ANSI/CEA-2018. IEEE Comput 42(8): 20-7.
83. Rich, C., C. Sidner, N. Lesh, A. Garland, S. Booth, and M. Chimani. 2005. DiamondHelp: A collaborative interface framework for networked home appliances. In 5th International Workshop on Smart Appliances and Wearable Computing, IEEE International Conference on Distributed Computing Systems Workshops, 514-9. New York: IEEE.
84. Schafer, J. B., D. Frankowski, J. Herlocker, and S. Sen. 2007. Collaborative filtering recommender systems. In The Adaptive Web: Methods and Strategies of Web Personalization, ed. P. Brusilovsky, A. Kobsa, and W. Nejdl, 291-324. Berlin, Germany: Springer.
85. Schiele, B., T. Starner, B. Rhodes, B. Clarkson, and A. Pentland. 2001. Situation aware computing with wearable computers. In Fundamentals of Wearable Computers and Augmented Reality, ed. W. Barfield and T. Caudell, 511-38. Mahwah, NJ: Erlbaum.
86. Schifanella, R., A. Barrat, C. Cattuto, B. Markines, and F. Menczer. 2010. Folks in folksonomies: Social link prediction from shared metadata. In Proceedings of the Third International Conference on Web Search and Web Data Mining, 271-80. New York: ACM.
87. Shami, N. S., Y. C. Yuan, D. Cosley, L. Xia, and G. Gay. 2007. That’s what friends are for: Facilitating ‘who knows what’ across group boundaries. In Proceedings of the 2007 International ACM Conference on Supporting Group Work, 379-82.
88. Shearin, S., and H. Lieberman. 2001. Intelligent profiling by example. In IUI 2001: International Conference on Intelligent User Interfaces, ed. J. Lester, 145-51. New York: ACM.
89. Shen, J., E. Fitzhenry, and T. Dietterich. 2009. Discovering frequent work procedures from resource connections. In IUI 2009: International Conference on Intelligent User Interfaces, ed. N. Oliver and D. Weld. New York: ACM.
90. Shen, J., J. Irvine, X. Bao, M. Goodman, S. Kolibab, A. Tran, F. Carl, B. Kirschner, S. Stumpf, and T. Dietterich. 2009. Detecting and correcting user activity switches: Algorithms and interfaces. In IUI 2009: International Conference on Intelligent User Interfaces, ed. N. Oliver and D. Weld. New York: ACM.
91. Soller, A. 2007. Adaptive support for distributed collaboration. In The Adaptive Web: Methods and Strategies of Web Personalization, ed. P. Brusilovsky, A. Kobsa, and W. Nejdl, 573-95. Berlin, Germany: Springer.
92. Teevan, J., S. T. Dumais, and E. Horvitz. 2010. Potential for personalization. ACM Trans Comput Hum Interact 17(1).
93. Terveen, L., and D. W. McDonald. 2005. Social matching: A framework and research agenda. ACM Trans Comput Hum Interact 12(3): 401-34.
94. Tintarev, N., and J. Masthoff. 2010. Explanation of recommendations. In Recommender Systems Handbook, ed. F. Ricci, L. Rokach, B. Shapira, and P. B. Kantor. Berlin, Germany: Springer.
95. Trewin, S. 2004. Automating accessibility: The Dynamic Keyboard. In Proceedings of ASSETS 2004, 71-8. New York: ACM.
96. Tsandilas, T., and M. Schraefel. 2004. Usable adaptive hypermedia. New Rev Hypermedia Multimedia 10(1): 5-29.
97. VanLehn, K. 2006. The behavior of tutoring systems. Int J Artif Intell Educ 16(3): 227-65.
98. Vasuki, V., N. Natarajan, Z. Lu, and I. S. Dhillon. 2010. Affiliation recommendation using auxiliary networks. In Proceedings of the Fourth ACM Conference on Recommender Systems, ed. P. Resnick, M. Zanker, X. Amatriain, and M. Torrens, 103-10. New York: ACM.
99. Vig, J., S. Sen, and J. Riedl. 2009. Tagsplanations: Explaining recommendations using tags. In IUI 2009: International Conference on Intelligent User Interfaces, ed. N. Oliver and D. Weld, 47-56. New York: ACM.
100. Wainer, H., ed. 2000. Computerized Adaptive Testing: A Primer. Hillsdale, NJ: Erlbaum.
101. Wexelblat, A., and P. Maes. 1997. Issues for Software Agent UI. Unpublished manuscript, cited with permission. Available from http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.51.8886. Latest access: October 1st, 2011.
102. Wobbrock, J. O., S. K. Kane, K. Z. Gajos, S. Harada, and J. Froelich. 2011. Ability-based design: Concept, principles and examples. ACM Trans Access Comput., 3(3), Article 9.
103. Wolfman, S. A., T. Lau, P. Domingos, and D. S. Weld. 2001. Mixed initiative interfaces for learning tasks: SMARTedit talks back. In IUI 2001: International Conference on Intelligent User Interfaces, ed. J. Lester, 167-74. New York: ACM.
104. Zheleva, E., and L. Getoor. 2009. To join or not to join: The illusion of privacy in social networks with mixed public and private user profiles. In Proceedings of the 2009 International World Wide Web Conference, 531-40. Published by the International World Wide Web Conference Committee, http://www.iw3c2.org/.
105. Ziegler, C., S. M. McNee, J. A. Konstan, and G. Lausen. 2005. Improving recommendation lists through topic diversification. In Proceedings of the 2003 International World Wide Web Conference, 22-32. Published by the International World Wide Web Conference Committee, http://www.iw3c2.org/.