A gaze-responsive self-disclosing display
CHI '90 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Negotiated Collusion: Modeling Social Language and its Relationship Effects in Intelligent Agents
User Modeling and User-Adapted Interaction
Where to look: a study of human-robot engagement
Proceedings of the 9th international conference on Intelligent user interfaces
IVA '07 Proceedings of the 7th international conference on Intelligent Virtual Agents
Simplified facial animation control utilizing novel input devices: a comparative study
Proceedings of the 14th international conference on Intelligent user interfaces
IVA'06 Proceedings of the 6th international conference on Intelligent Virtual Agents
EMNLP '10 Proceedings of the 2010 Conference on Empirical Methods in Natural Language Processing
International Conference on Multimodal Interfaces and the Workshop on Machine Learning for Multimodal Interaction
Emotional eye movement generation based on Geneva Emotion Wheel for virtual agents
Journal of Visual Languages and Computing
The next generation poetic experience
SIGGRAPH Asia 2013 Art Gallery
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In human-human conversation, the first impression decides whether two people feel attracted by each other and whether contact between them will be continued or not. Starting from psychological work on flirting, we implemented an eye-gaze based model of interaction to investigate whether flirting tactics help improve first encounters between a human and an agent. Unlike earlier work, we concentrate on a very early phase of human-agent conversation (the initiation of contact) and investigate which non-verbal signals an agent should convey in order to create a favourable atmosphere for subsequent interactions and increase the user's willingness to engage in an interaction with the agent. To validate our approach, we created a scenario with a realistic 3D agent called Alfred that seeks contact with a human user. Depending on whether the user signals interest in the agent by means of his or her gaze, the agent will finally engage in a conversation or not.