A probabilistic multimodal approach for predicting listener backchannels
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Having responses from multiple listeners enables the development of more accurate models for backchannel prediction that continuously emit probabilities resulting in a smooth probability curve.
“Having responses from multiple listeners enables the development of more accurate models for backchannelprediction (e.g., based on probabilistic sequential models) that do not simply trigger a backchannel based on a rule but continuously emit probabilities resulting in a smooth probability curve that should exhibit regions of high probability during backchannel relevance spaces and can be used for”
From Modeling Feedback in Interaction With Conversational Agents—A Review (2022) · cites this paper as Morency et al., 2010
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Bavelas, J. B., Coates, L., & Johnson, T. (2000) · Journal of Personality and Social Psychology · doi:10.1037/0022-3514.79.6.941 · Cited by 829 · see citing works
BEAT: the Behavior Expression Animation Toolkit
Cassell, J., Vilhjálmsson, H. H., & Bickmore, T. (2001) · Proceedings of the 28th annual conference on Computer graphics and interactive techniques · doi:10.1145/383259.383315 · Cited by 739 · see citing works
Contextual recognition of head gestures,
Morency, L.-P., Sidner, C., Lee, C., & Darrell, T. (2005) · Proceedings of the 7th international conference on Multimodal interfaces · doi:10.1145/1088463.1088470 · Cited by 130 · see citing works
Self-citationSearching for prototypical facial feedback signals,
Heylen, D., Bevacqua, E., Tellier, M., & Pelachaud, C. (2007) · Lecture Notes in Computer Science · doi:10.1007/978-3-540-74997-4_14 · Cited by 41 · see citing works
Fluid Semantic Back-Channel Feedback in Dialogue: Challenges and Progress
Jonsdottir, G. R., Gratch, J., Fast, E., & Thórisson, K. R. (2007) · Lecture Notes in Computer Science · doi:10.1007/978-3-540-74997-4_15 · Cited by 29 · see citing works
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Reporting Mental Health Symptoms: Breaking Down Barriers to Care with Virtual Human Interviewers
Lucas, G. M., Rizzo, A., Gratch, J., Scherer, S., Stratou, G., Boberg, J., & Morency, L.-P. (2017) · Frontiers in Robotics and AI · doi:10.3389/frobt.2017.00051 · Cited by 308 · see citing works
Self-citationAyedoun, E., Hayashi, Y., & Seta, K. (2019) · International Journal of Artificial Intelligence in Education · doi:10.1007/s40593-018-0171-6 · Cited by 128 · see citing works
Data-driven models for timing feedback responses in a Map Task dialogue system
Meena, R., Skantze, G., & Gustafson, J. (2014) · Computer Speech & Language · doi:10.1016/j.csl.2014.02.002 · Cited by 56 · see citing works
Rapport Between Humans and Socially Interactive Agents
Gratch, J., & Lucas, G. (2021) · The Handbook on Socially Interactive Agents · doi:10.1145/3477322.3477335 · Cited by 36 · see citing works
Self-citationA multimodal analysis of vocal and visual backchannels in spontaneous dialogs,
Truong, K. P., Poppe, R., Kok, I. D., & Heylen, D. (2011) · Interspeech 2011 · doi:10.21437/interspeech.2011-744 · Cited by 33 · see citing works
Self-citationModeling Feedback in Interaction With Conversational Agents—A Review
Axelsson, A., Buschmeier, H., & Skantze, G. (2022) · Frontiers in Computer Science · doi:10.3389/fcomp.2022.744574 · Cited by 33 · see citing works
Perceptual evaluation of backchannel strategies for artificial listeners
Poppe, R., Truong, K. P., & Heylen, D. (2013) · Autonomous Agents and Multi-Agent Systems · doi:10.1007/s10458-013-9219-z · Cited by 14 · see citing works
Mining a multimodal corpus of doctor's training for virtual patient's feedbacks,
Porhet, C., Ochs, M., Saubesty, J., de Montcheuil, G., & Bertrand, R. (2017) · Proceedings of the 19th ACM International Conference on Multimodal Interaction · doi:10.1145/3136755.3136816 · Cited by 10 · see citing works
- Authors
- Morency, L.-P., de Kok, I., & Gratch, J.
- Affiliations
- University of Southern California (US)
- Corresponding author
- Morency, Louis-Philippe
- Venue
- Autonomous Agents and Multi-Agent Systems
- Published
- 2009-05-10
- Volume
- 20
- Issue
- 1
- Pages
- 70-84
- ISSN
- 1387-2532 (ISSN-L)
- 1573-7454
- OpenAlex
- W1991123335
- Cited by
- 162
- References
- 5
- Citations by year
- 2026: 5 · 2025: 7 · 2024: 6 · 2023: 7 · 2022: 10 · 2021: 11 · 2020: 11 · 2019: 7 · 2018: 8 · 2017: 13 · 2016: 6 · 2015: 8 · 2014: 15 · 2013: 13 · 2012: 11
- FWCI
- 12.63
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- www.springer.com/tdm (tdm)
- Locations
- Autonomous Agents and Multi-Agent Systems (publishedVersion)
- University of Twente Research Information (submittedVersion)
- Topics
- Physical Sciences › Computer Science › Artificial Intelligence › Speech and dialogue systems
- Social Sciences › Psychology › Social Psychology › Social Robot Interaction and HRI
- Social Sciences › Arts and Humanities › Language and Linguistics › Language, Discourse, Communication Strategies
- Keywords
- head nodding, virtual humans, multimodal interaction, hidden Markov models, conditional random fields, feature selection, gaze, prosody, human-to-human interaction, chatbots
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