This computer responds to user frustration
CHI '99 Extended Abstracts on Human Factors in Computing Systems
Toward an Affect-Sensitive AutoTutor
IEEE Intelligent Systems
Computational Statistics & Data Analysis
Persuading users through counseling dialogue with a conversational agent
Proceedings of the 4th International Conference on Persuasive Technology
A virtual laboratory for studying long-term relationships between humans and virtual agents
Proceedings of The 8th International Conference on Autonomous Agents and Multiagent Systems - Volume 1
The effect of expression of anger and happiness in computer agents on negotiations with humans
The 10th International Conference on Autonomous Agents and Multiagent Systems - Volume 3
Designing relational agents as long term social companions for older adults
IVA'12 Proceedings of the 12th international conference on Intelligent Virtual Agents
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We present two empirical studies which examine user mood in long-term interaction with virtual conversational agents. The first study finds evidence for mood as a longitudinal construct independent of momentary affect and demonstrates that mood can be reliably identified by human judges observing user-agent interactions. The second study demonstrates that mood is an important consideration for virtual agents designed to persuade users, by showing that favors are more persuasive than direct requests when users are in negative moods, while direct requests are more persuasive for users in positive moods.