Kathleen Weaver
ABSTRACT
Intelligent Virtual Agents (IVAs) are computer systems that have specifically designed capabilities ranging from simple conversation agents to complex systems that can accomplish activities on our behalf. As a result, state of the art Computerized Conversation Agents (CCAs) have been developed to have a fluid dialog with humans using natural language, offering advanced intelligent tutors, museum guides, and virtual patients. These CCAs monitor the user's interactions and build a user model in order to adjust current and future interactions to meet the needs of the individual user. We explore using an Intelligent Interviewer to conduct a cognitive assessment of a user. The results could be offered to existing CCAs allowing the interaction to be individualized from the initial point of interaction. In addition, educators, psychologists and medical professions can replace existing methods of conducting cognitive assessments with an Intelligent Interviewer.
- Bickmore, T., Puskar, K., Schlenk, E., Pfeifer, L., & Sereika, S. Maintaining Reality: Relational Agents for Antipsychotic Medication Adherence. Interacting with Computers special issue on Mental Health 22(4), (2010), 276--288. Google Scholar
Digital Library
- D'Mello, S. K., Graesser, A. C., & King, B. Toward spoken human-computer tutorial dialogues. Human Computer Interaction, 25(4), (2010), 289--323.Google ScholarCross Ref
- Felder, R. M., & Silverman, L. K.. Learning and Teaching Styles in Engineering Education. Engineering Education, 78, (1988 -- Reprint 2002) 674--681.Google Scholar
- Felder, R. M., & Spurlin, J. Applications, Reliability and Validity of the Index of Learning Styles. Int. J. Engng Ed., 21(1), (2005), 103--112.Google Scholar
- Ford T., Last, A., Henley, W., Norman, S., Guglani, S., Kelesidi K., Martin, A., Moran, P., Latham-Cork, H., Goodman, R. Can standardized diagnostic assessment be a useful adjunct to clinical assessment in child mental health services? A randomized controlled trial of disclosure of the Development and Well-Being Assessment to practitioners Soc Psychiatry Psychiatr Epidemiol. (2012).Google Scholar
- Graesser, A. C., Britt, A., Millis,K., Wallace,P., Halpern, D., Cai, Z., Kopp, K. & Forsyth, C. Critiquing media reports with flawed scientific findings: Operation ARIES!, a game with animated agents and natural language trialogues. In Lecture Notes in Computer Science, 6095, (2010), 327329. London: Springer Google ScholarDigital Library
- Graesser, A. C., Rus, V., D'Mello, S. K., & Jackson, G. T. AutoTutor: Learning through natural language dialogue that adapts to the cognitive and affective states of the learner. In Recent innovations in educational technology that facilitate student learning. Information Age Publishing (2008), 95125.Google Scholar
- Graesser, A.C. Learning, thinking, and emoting with discourse technologies. American Psychologist, 66, (2011), 743--757.Google ScholarCross Ref
- Lane, H., Noren, D., Auerbach, D., Birch, M. & Swartout, W. Intelligent Tutoring Goes to the Museum in the Big City: A Pedagogical Agent for Informal Science Education. In 15th Int'l Conf on AI in Ed. (2011). Google ScholarDigital Library
- Litzinger, Thomas A., Sangha, Lee, J. C., Wise, R. F. A Psychometric Study of the Index of Learning Styles. Journal of Engineering Education, 96(4), (2007), 309--319.Google ScholarCross Ref
- Rizzo, A., Lange, B., Buckwalter, J., Forbell, E., Kim, J., Sagae, K., Williams, J., Rothbaum, B., Difede, J., Reger, G., Parsons, T., & Kenny, P. An Intelligent Virtual Human System for Providing Healthcare Information and Support. In Medicine Meets Virtual Reality, 18, (2011).Google Scholar
- Rizzo, A., Parsons, T., Buckwalter, J., & Kenny, P. A New Generation of Intelligent Virtual Patients for Clinical Training. In Proceedings of IEEE VR Conf. (2010).Google Scholar
- Science, C. EVA: expressive multipart virtual agent performing gestures and emotions. International Journal of Mathematics and Computers in Simulation, 5(1), (2011), 36--44.Google Scholar
- Velicer, W., Bickmore, T., Blissmer, B., Redding, C., Johnson, J., Meier, J., & Zaffini, J. Relational Agent Interventions for Multiple Risk Factors: Demonstration and Initial Results. Psychology & Health, 24, (2009), 403Google Scholar
Index Terms
- Using an intelligent interviewer to perform cognitive assessments
Recommendations
Interviewer agent for cognitive task analysis
UAHCI'13: Proceedings of the 7th international conference on Universal Access in Human-Computer Interaction: design methods, tools, and interaction techniques for eInclusion - Volume Part IA chat-based interviewer agent (IA) for cognitive task analysis was developed. This agent automatically generates questions for and responses to the answers from the human interviewee. The automated response process is based on shallow intelligence ...
A modular, multimodal open-source virtual interviewer dialog agent
ICMI '17: Proceedings of the 19th ACM International Conference on Multimodal InteractionWe present an open-source multimodal dialog system equipped with a virtual human avatar interlocutor. The agent, rigged in Blender and developed in Unity with WebGL support, interfaces with the HALEF open-source cloud-based standard-compliant dialog ...
Towards Conversationally Intelligent Dialog Systems
CHI EA '22: Extended Abstracts of the 2022 CHI Conference on Human Factors in Computing SystemsSpoken dialog systems, lacking the means to address the complex phenomena of spontaneous speech and conversational dynamics, force users into a constrained mode of dialog that resembles text-based interaction more closely than spoken conversation. Turn-...
Comments