CHI '94 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Embodiment in conversational interfaces: Rea
Proceedings of the SIGCHI conference on Human Factors in Computing Systems
Helper agent: designing an assistant for human-human interaction in a virtual meeting space
Proceedings of the SIGCHI conference on Human Factors in Computing Systems
Relational agents: a model and implementation of building user trust
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Proceedings of the 4th international conference on Collaborative virtual environments
Establishing and maintaining long-term human-computer relationships
ACM Transactions on Computer-Human Interaction (TOCHI)
A conversational agent as museum guide: design and evaluation of a real-world application
Lecture Notes in Computer Science
RMRSBot --- Using Linguistic Information to Enrich a Chatbot
IVA '09 Proceedings of the 9th International Conference on Intelligent Virtual Agents
Planning Small Talk behavior with cultural influences for multiagent systems
Computer Speech and Language
Multifunctionality in dialogue
Computer Speech and Language
Small talk is more than chit-chat: exploiting structures of casual conversations for a virtual agent
KI'12 Proceedings of the 35th Annual German conference on Advances in Artificial Intelligence
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ACM Transactions on Management Information Systems (TMIS) - Special Issue on Informatics for Smart Health and Wellbeing
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This paper presents a set of dialogue acts which can be used to implement small talk conversations in conversational agents. Although many conversational agents are supposed to engage in small talk, no systematic development of social dialogue acts and sequences for dialogue systems was made so far. Instead systems reuse the same conversation sequence every time they engage in small talk or integrate stateless chatbots without any knowledge about the ongoing conversation. The small talk dialogue act taxonomy presented in this paper consists of functionally motivated acts inspired by the social science work of "face". Moreover, a corpus annotation and possible dialogue act sequences extracted from this annotated corpus are described. The dialogue act set and the sequences are used in our dialogue system to provide a more knowledgedriven treatment of small talk than chatbots can offer.