Studying service: An exploration of the costs and benefits of assistance

Proceedings of the Eighteenth International Florida Artificial Intelligence Research Society Conference, FLAIRS 2005 - Recent Advances in Artifical Intelligence

Volumn , Issue , 2005, Pages 684-689

  Iba, Wayne ^a   Burwell, Nicholas ^a  

^a WESTMONT COLLEGE   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

HUMAN USERS; NATURE OF SERVICE; SIMULATOR;

COMPUTER SIMULATION; MULTI AGENT SYSTEMS;

BEHAVIORAL RESEARCH;

EID: 32844471177     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (7)

1. Gervasio, M. T., Iba, W. & Langley, P. (1999). Learning user evaluation functions for adaptive scheduling assistance. In Proceedings of the Sixteenth International Conference on Machine Learning (pp. 152-161). Bled, Slovenia: Morgan Kaufmann.
2. Heskett, J. L., Sasser, W. E., & Schlesinger, L. A. (1997). The Service Profit Chain: How leading companies link profit and growth to loyalty, satisfaction, and value. The Free Press: New York.
3. Iba, W. & Burwell, N. (in press). Building a testbed for studying service. In Proceedings of the Stanford Spring Symposium on Persistent Assistants: Living and Working with AI. Palo Alto, CA: AAAI Press.
4. Iba, W. & Gervasio, M. (1999). Adapting to user preferences in crisis response. In Proceedings of the International Conference on Intelligent User Interfaces. Redondo Beach, CA: ACM Press.
5. Langley, P. (1999). User Modeling in Adaptive Interfaces. In Proceedings of the Seventh International Conference on User Modeling, (357-370). Banff, Canada: Spring Wien.
6. Perkins, S., Paine, J. & Chattoe, E. (1992). EDEN: Poplog-based AI Microworld. Areas:Testbeds:Eden, CMU-AI Repository.
7. Webb, G. (1998). Special issue on machine learning for user modeling. User Modeling and User-Adapted Interaction, 8. Kluwer.