A conversation with Marvin Minsky about agents
Communications of the ACM
COACH: a teaching agent that learns
Communications of the ACM
Productivity gains via an adaptive user interface: an empirical analysis
International Journal of Human-Computer Studies
Agents: what (or who) are they?
Advances in human-computer interaction (vol. 5)
Bringing design to software
The media equation: how people treat computers, television, and new media like real people and places
Thunderwire: a field study of an audio-only media space
CSCW '96 Proceedings of the 1996 ACM conference on Computer supported cooperative work
Readings in agents
A softbot-based interface to the Internet
Readings in agents
Collaborative interface agents
Readings in agents
COLLAGEN: when agents collaborate with people
Readings in agents
User modeling in adaptive interfaces
UM '99 Proceedings of the seventh international conference on User modeling
The Inmates Are Running the Asylum: Why High Tech Products Drive Us Crazy and How to Restore the Sanity (2nd Edition)
Comparing a computer agent with a humanoid robot
Proceedings of the ACM/IEEE international conference on Human-robot interaction
Learners' perceived level of difficulty of a computer-adaptive test: a case study
INTERACT'05 Proceedings of the 2005 IFIP TC13 international conference on Human-Computer Interaction
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This study examines the effects of interface adaptation on user performance in HCI and CMC. No studies to date have explored the psychological effects of a combination of software performance monitoring and adaptation. This combination is the focus of the present study. Two competing possible effects of adaptive interfaces are presented: 1) Social facilitation, according to which users with high task confidence should perform better, and users with low task confidence should perform less well because their performance is monitored by the interface; and 2) "choking", according to which users with high task confidence should perform less well, and users with low task confidence should perform better because the interface adapts to their performance. A 2 (adaptive vs. non-adaptive) x 2 (high user task confidence vs. low task confidence) x 2 (HCI vs. CMC) laboratory experiment was conducted. Results indicate that for CMC, the social facilitation explanation holds true, while results for HCI were consistent with the "choking" explanation. Implications for the theory and design of adaptive interfaces are discussed