Artificial intelligence for subject interviewing
This paper has two goals: to discuss, in general terms, issues related to applying artificial intelligence (AI) techniques to computerized interviewing; and to describe two AI-based interviewing systems developed at Oak Ridge National Laboratory. With respect to the former, AI techniques can be used effectively to collect data of complex representation, provide flexibility in collecting data, and improve data validity through real-time reviews. One AI system, ARK, elicits subjects' beliefs on an open-ended range of issues and topics through menu-driven, dialogue-based interactions. The other system, LES, elicits, uncertainty assessments related to events, statements and propositions and tailors questions for subjects to explore their uncertainty processing heuristics.
- Research Organization:
- Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
- Sponsoring Organization:
- DOC; DOE/ER
- DOE Contract Number:
- AC05-84OR21400
- OSTI ID:
- 6603199
- Report Number(s):
- CONF-9004177-3; ON: DE90017328
- Resource Relation:
- Conference: Advanced computing for the social sciences conference, Williamsburg, VA (USA), 10-12 Apr 1990
- Country of Publication:
- United States
- Language:
- English
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