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Using social and physiological signals for user adaptation in conversational agents: Doctoral consortium
KTH, School of Electrical Engineering and Computer Science (EECS), Intelligent systems, Speech, Music and Hearing, TMH.ORCID iD: 0000-0003-3687-6189
2019 (English)In: Proceedings of the International Joint Conference on Autonomous Agents and Multiagent Systems, AAMAS, 2019, p. 2420-2422Conference paper, Published paper (Refereed)
Place, publisher, year, edition, pages
2019. p. 2420-2422
National Category
Fluid Mechanics and Acoustics
Identifiers
URN: urn:nbn:se:kth:diva-268274Scopus ID: 2-s2.0-85077050810OAI: oai:DiVA.org:kth-268274DiVA, id: diva2:1416525
Conference
International Joint Conference on Autonomous Agents and Multiagent Systems, AAMAS, 13-17 May, Montreal
Note

QC 20200324

Available from: 2020-03-24 Created: 2020-03-24 Last updated: 2020-05-27Bibliographically approved

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Scopushttp://aamas2019.encs.concordia.ca/

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Jonell, Patrik

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CiteExportLink to record
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