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Volumn 2347 LNCS, Issue , 2002, Pages 193-202

Pros and cons of controllability: An empirical study

Author keywords

[No Author keywords available]

Indexed keywords

CONTROLLABILITY; ECONOMIC AND SOCIAL EFFECTS; HYPERMEDIA SYSTEMS; ADAPTIVE SYSTEMS; WORLD WIDE WEB;

EID: 84874896838     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/3-540-47952-x_21     Document Type: Conference Paper
Times cited : (52)

References (8)
  • 2
    • 0001670678 scopus 로고    scopus 로고
    • The Lumière project: Bayesian user modeling for inferring the goals and needs of software users
    • Gregory F. Cooper and Serafin Moral,editors. Morgan Kaufmann,San Francisco
    • Eric Horvitz,Jack Breese,David Heckerman,David Hovel,and Koos Rommelse. The Lumière project: Bayesian user modeling for inferring the goals and needs of software users. In Gregory F. Cooper and Serafin Moral,editors, Uncertainty in Artificial Intelligence: Proceedings of the Fourteenth Conference,pages 256-265. Morgan Kaufmann,San Francisco,1998.
    • (1998) Uncertainty in Artificial Intelligence: Proceedings of the Fourteenth Conference , pp. 256-265
    • Horvitz, E.1    Breese, J.2    Heckerman, D.3    Hovel, D.4    Rommelse, K.5
  • 3
    • 3042510781 scopus 로고    scopus 로고
    • Adaptive interfaces and agents
    • Julie A. Jacko and AndrewSears,editors, Erlbaum,Mahw ah,NJ, In press
    • Anthony Jameson. Adaptive interfaces and agents. In Julie A. Jacko and AndrewSears,editors, Handbook of Human-Computer Interaction in Interactive Systems. Erlbaum,Mahw ah,NJ, 2002. In press.
    • (2002) Handbook of Human-Computer Interaction in Interactive Systems
    • Jameson, A.1
  • 5
    • 0028476345 scopus 로고
    • How might people interact with agents?
    • Donald A. Norman. How might people interact with agents? Communications of the ACM, 37(7):68-71,1994.
    • (1994) Communications of the ACM , vol.37 , Issue.7 , pp. 68-71
    • Norman, D.A.1
  • 6
    • 0031168547 scopus 로고    scopus 로고
    • Learning and revising user profiles: The identification of interesting web sites
    • Michael Pazzani and Daniel Billsus. Learning and revising user profiles: The identification of interesting web sites. Machine Learning,27:313-331,1997.
    • (1997) Machine Learning , vol.27 , pp. 313-331
    • Pazzani, M.1    Billsus, D.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.