Key issues in interactive problem solving: An empirical investigation on users attitude

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 3585 LNCS, Issue , 2005, Pages 657-670

  Cortellessa, Gabriella ^a   Giuliani, Vittoria ^a   Scopelliti, Massimiliano ^a   Cesta, Amedeo ^a  

^a INSTITUTE OF COGNITIVE SCIENCES AND TECHNOLOGIES   (Italy)

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; CONTENT BASED RETRIEVAL; INTERACTIVE COMPUTER SYSTEMS; SCHEDULING; USER INTERFACES;

ARTIFICIAL SOLVER; END-USERS; PROBLEM SOLVING FAILURES;

PROBLEM SOLVING;

EID: 33645981617     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/11555261_53     Document Type: Conference Paper

References (21)

1. P. Baptiste, C. Le Pape, and W. Nuijten. Constraint-Based Scheduling, volume 39 of International Series in Operations Research and Management Science. Kluwer Academic Publishers, 2001.
2. Mark Burstein and Drew McDermott. Issues in the development of human-computer mixed-initiative planning. In B. Gorayska and J.L. Mey, editors, Cognitive Technology, pages 285-303. Elsevier, 1996.
3. B. Chandrasekaran and Sanjay Mittal. Deep versus compiled knowledge approaches to diagnostic problem-solving. Int. J. Hum.-Comput. Stud., 51(2):357-368, 1999.
4. R. Cohen, C. Allaby, C. Cumbaa, M. Fitzgerald, K. Ho, B. Hui, C. Latulipe, F. Lu, N. Moussa, D. Pooley, A. Qian, and S. Siddiqi. What is initiative? In S. Haller, S. McRoy, and A. Kobsa, editors, Computational Models of Mixed-Initiative Interaction, pages 171-212. Kluwer Academic Publishers, 1999.
5. R. Davis. Application of Meta-Level Knowledge to the Construction, maintenance and Use of Large Knowledge bases. In R. Davis and D. Lenat, editors, Knowledge-Based Systems in Artificial Intelligence. McGraw-Hill, Inc., NY, 1982.
6. N.Gilbert. Explanation and dialogue. Knowledge Engineering Review, 4(3):205-231, 1989.
7. S. Gregor. Explanations from knowledge-based systems and cooperative problem solving: an empirical study. International Journal of Human-Computer Studies, 54:81-105, 2001.
8. P. Hayes and R. Reddy. Steps toward Graceful Interaction in Spoken and Written Man-Machine Communication. Internal Journal of Man-Machines Studies , 19:231-284, 1983.
9. F. Hayes-Roth and N. Jacobstein. The state of knowledge-based systems. Communications of the ACM, 37:27-39, 1994.
10. D. R. Jones and D. Brown. The division of labor between human and computer in the presence of decision support system advice. Decision Support Systems, 33:375-388, 2002.
11. L. Karsenty and J. Brezillon. Cooperative problem solving and explanation. Expert Systems with Applications, 8(4):445-462, 1995.
12. E. J. Langer. Matters of mind: Mindfulness/mindlessness in perspective. Consciousness and Cognition, 1:289-305, 1992.
13. M. C. Lovett and J. R. Anderson. Making heads or tails out of selecting problem-solving strategies. In J. D. Moore and J. F. Lehman, editors, Proceedings of the Seventeenth Annual Conference of the Cognitive Science Society, Hillsdale, NJ, pages 265-270. Erlbaum, 1995.
14. P. G. Polson. M. E. Atwood, M. E. Masson. Further explorations with a process model for water jug problems. Memory and Cognition, 8(2): 182-192, 1980.
15. J. Mao and I. Benbasat. Exploring the use of explanations in knowledge-based systems: a process tracing analysis. Working Paper 96-MIS-002. Faculty of Commerce, University of British Columbia, Canada , 1996.
16. Clifford Nass and Youngme Moon. Machines and mindlessness: Social responses to computers. Journal of Social Issues, 56:81-103, 2000.
17. R. C. Schank. Explanation: A first pass. In J. L. Kolodner and C. K. Riesbeck, editors, Experience, Memory and Reasoning, pages 139-165. Erlbaum Associates, Hillsdale, NJ, 1986.
18. S.F. Smith, G. Cortellessa, D.W. Hildum, and C.M. Ohler. Using a scheduling domain ontology to compute user-oriented explanations. In L. Castillo, D. Borrajo, M.A. Salido, and A. Oddi, editors, Planning, Scheduling, and Constraint Satisfaction: From Theory to Practice. IOS Press, 2005.
19. S.F. Smith, D.W. Hildum, and D.A. Crimm. Interactive Resource Management in the Comirem Planner. In IJCAI-03 Workshop on Mixed-Initiative Intelligent Systems, Acapulco Mexico, August 2003.
20. E.P.K. Tsang. Foundation of Constraint Satisfaction. Academic Press, London and San Diego, CA, 1993.
21. L. R. Ye. The Value of Explanation in Expert Systems for Auditing: An experimental Investigation. Expert Systems with Applications, 9(4):543-556, 1995.