EmoUS: Simulating User Emotions in Task-Oriented Dialogues Article Swipe
Hsien-chin Lin
,
Shutong Feng
,
Christian Geishauser
,
Nurul Lubis
,
Carel van Niekerk
,
Michael Heck
,
Benjamin Ruppik
,
Renato Vukovic
,
Milica Gašić
·
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.1145/3539618.3592092
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.1145/3539618.3592092
Existing user simulators (USs) for task-oriented dialogue systems only model\nuser behaviour on semantic and natural language levels without considering the\nuser persona and emotions. Optimising dialogue systems with generic user\npolicies, which cannot model diverse user behaviour driven by different\nemotional states, may result in a high drop-off rate when deployed in the real\nworld. Thus, we present EmoUS, a user simulator that learns to simulate user\nemotions alongside user behaviour. EmoUS generates user emotions, semantic\nactions, and natural language responses based on the user goal, the dialogue\nhistory, and the user persona. By analysing what kind of system behaviour\nelicits what kind of user emotions, we show that EmoUS can be used as a probe\nto evaluate a variety of dialogue systems and in particular their effect on the\nuser's emotional state. Developing such methods is important in the age of\nlarge language model chat-bots and rising ethical concerns.\n
Related Topics
Concepts
Computer science
Persona
User modeling
Human–computer interaction
Variety (cybernetics)
Task (project management)
User experience design
User story
Natural language
User journey
Natural language understanding
Computer user satisfaction
User interface
User interface design
Artificial intelligence
Programming language
Engineering
Software
Systems engineering
Software development
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1145/3539618.3592092
- OA Status
- gold
- Cited By
- 11
- References
- 44
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4379474662
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
-
https://openalex.org/W4379474662Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.1145/3539618.3592092Digital Object Identifier
- Title
-
EmoUS: Simulating User Emotions in Task-Oriented DialoguesWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2023Year of publication
- Publication date
-
2023-07-18Full publication date if available
- Authors
-
Hsien-chin Lin, Shutong Feng, Christian Geishauser, Nurul Lubis, Carel van Niekerk, Michael Heck, Benjamin Ruppik, Renato Vukovic, Milica GašićList of authors in order
- Landing page
-
https://doi.org/10.1145/3539618.3592092Publisher landing page
- Open access
-
YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
-
https://doi.org/10.1145/3539618.3592092Direct OA link when available
- Concepts
-
Computer science, Persona, User modeling, Human–computer interaction, Variety (cybernetics), Task (project management), User experience design, User story, Natural language, User journey, Natural language understanding, Computer user satisfaction, User interface, User interface design, Artificial intelligence, Programming language, Engineering, Software, Systems engineering, Software developmentTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
11Total citation count in OpenAlex
- Citations by year (recent)
-
2025: 3, 2024: 7, 2023: 1Per-year citation counts (last 5 years)
- References (count)
-
44Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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