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The Communicative Activity of "Making Suggestions" as an Interactional Process: Towards a Dialog Model for HAI
Open accessAbstract
Dialog modeling of making suggestions in human-agent interaction is a challenge due to the socially delicate nature of a suggestion and ensuing interactional negotiations. A basic first dialog model for making suggestions was tested in the context of schedule management assistance by an embodied conversational agent with elderly and mildly cognitively impaired persons. Analysis showed that users responded according to human social structures with most response types bearing potential challenges concerning the system's language understanding and the users' intention interpretation:next to explicit answers, users produced implicit versions for acceptance or resistance and further requests for information or modifications. Thus, an enhanced dialog model with a newly added clarification sequence and a new multi-conditional entry sequence was tested in a second study with the autonomous system. Initial observations show a promising performance of the dialog model.
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More HCI-oriented studies in the corpus offer design recommendations to improve specific technologies, often drawing on and contributing to theories, methods, and findings from human interaction research.
“On the one hand, more HCIoriented studies in our corpus offer design recommendations to improve a specific technology (e.g., Wallis 2008; Opfermann et al. 2017; Pelikan and Broth 2016), often drawing on-and contributing to-theories, methods, and findings from human interaction research (e.g., Pelikan et al. 2020; Krummheuer 2015b; Gehle et al. 2017).”
From AI in situated action: a scoping review of ethnomethodological and conversation analytic studies (2025) · cites this paper as Opfermann et al. 2017
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Self-citationOpfermann, C., & Pitsch, K. (2017) · 2017 26th IEEE International Symposium on Robot and Human Interactive Communication (RO-MAN) · doi:10.1109/roman.2017.8172319 · Cited by 12
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Stigall, B., Waycott, J., Baker, S., & Caine, K. (2019) · Proceedings of the 31st Australian Conference on Human-Computer-Interaction · doi:10.1145/3369457.3369506 · Cited by 83
AI in situated action: a scoping review of ethnomethodological and conversation analytic studies
Mlynář, J., de Rijk, L., Liesenfeld, A., Stommel, W., & Albert, S. (2025) · AI & SOCIETY · doi:10.1007/s00146-024-01919-x · Cited by 18
“…that was somewhat similar to Max : a “Wizard of Oz” controlled agent named Billie , which also consisted of a cartoon-like body, visible on screen from the hips up, but rendered in a 2D style and able to interact with users entirely through speech (Cyra and Pitsch 2017; Opfermann et al. 2017).”
Opfermann, C., & Pitsch, K. (2017) · 2017 26th IEEE International Symposium on Robot and Human Interactive Communication (RO-MAN) · doi:10.1109/roman.2017.8172319 · Cited by 12
Self-citation
Metadata
- Authors
- Opfermann, C., Pitsch, K., Yaghoubzadeh, R., & Kopp, S.
- Affiliations
- University of Duisburg-Essen (DE)
- Bielefeld University (DE)
- Venue
- Proceedings of the 5th International Conference on Human Agent Interaction
- Publisher
- ACM
- Published
- 2017-10-27
- Pages
- 161-170
- OpenAlex
- W2767155852
- Cited by
- 10
- References
- 3
- Citations by year
- 2025: 1 · 2024: 1 · 2023: 1 · 2022: 1 · 2020: 1 · 2019: 1 · 2018: 2 · 2017: 2
- FWCI
- 0.75
- Type
- conference paper
- Language
- en
- Open access
- green
- pub.uni-bielefeld.de
- Locations
- International Conference on Human-Agent Interaction (HAI) (publishedVersion)
- PUB – Publications at Bielefeld University (Bielefeld University) (submittedVersion, other-oa)
- Funders
- Bundesministerium für Bildung und Forschung (FKZ 16SV7272)
- Topics
- Physical Sciences › Computer Science › Artificial Intelligence › Speech and dialogue systems
- Social Sciences › Psychology › Social Psychology › Social Robot Interaction and HRI
- Social Sciences › Business, Management and Accounting › Marketing › AI in Service Interactions
- Keywords
- dialogue modeling, human-agent interaction, embodied conversational agents, elderly users, mild cognitive impairment, social interaction
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