The media equation: how people treat computers, television, and new media like real people and places
Face to interface: facial affect in (hu)man and machine
Proceedings of the SIGCHI conference on Human Factors in Computing Systems
The impact of animated interface agents: a review of empirical research
International Journal of Human-Computer Studies
Emotion in human-computer interaction
The human-computer interaction handbook
International Journal of Human-Computer Studies - Special issue: Subtle expressivity for characters and robots
Subtle emotional expressions of synthetic characters
International Journal of Human-Computer Studies - Special issue: Subtle expressivity for characters and robots
TelMeA: expressive avatars in asynchronous communications
International Journal of Human-Computer Studies - Special issue: Subtle expressivity for characters and robots
International Journal of Human-Computer Studies - Special issue: Subtle expressivity for characters and robots
Evaluating humanoid synthetic agents in e-retail applications
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
Affective interaction: How emotional agents affect users
International Journal of Human-Computer Studies
An empirical approach to multimodal customer knowledge management
Intelligent Decision Technologies
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
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
The impact of emotion displays in embodied agents on emergence of cooperation with people
Presence: Teleoperators and Virtual Environments
| Hi-index | 0.00 |
Hedonic preference and contextual appropriateness are two general principles governing humans' emotional expressions. People in general prefer perceiving and expressing positive emotions to negative ones, but also modulate their emotional expressions to be appropriate to social contexts. Although computer-based characters such as interface agents are able to express basic human emotions, they cannot yet automatically and effectively adapt their emotional expressions to the changing context. Would hedonic preference hold up without contextual appropriateness? A 2x2 mixed-design experiment (happy vs. sad expression by happy vs. sad context) (N=24) was conducted with a talking-head agent presenting happy and sad novels to users. Supporting the hedonic preference principle, results showed that although both happy and sad agents were non-adaptive to the varying emotional tone of the context, the happy agent elicited greater intent to consume the books, more positive evaluation of the book reviews, more positive attitudes towards the agent and the interface, and more positive user experience than the sad agent.