Proceedings ArticleDOI
All Work and No Play
Q. Vera Liao,Muhammed Mas-ud Hussain,Praveen Chandar,Matthew Davis,Yasaman Khazaeni,Marco Crasso,Dakuo Wang,Michael Muller,N. Sadat Shami,Werner Geyer +9 more
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TLDR
By studying a field deployment of a Human Resource chatbot, data is reported on users' interest areas in conversational interactions to inform the development of CAs, and rich signals in Conversational interactions are highlighted for inferring user satisfaction with the instrumental usage and playful interactions with the agent.Abstract:
Many conversational agents (CAs) are developed to answer users' questions in a specialized domain. In everyday use of CAs, user experience may extend beyond satisfying information needs to the enjoyment of conversations with CAs, some of which represent playful interactions. By studying a field deployment of a Human Resource chatbot, we report on users' interest areas in conversational interactions to inform the development of CAs. Through the lens of statistical modeling, we also highlight rich signals in conversational interactions for inferring user satisfaction with the instrumental usage and playful interactions with the agent. These signals can be utilized to develop agents that adapt functionality and interaction styles. By contrasting these signals, we shed light on the varying functions of conversational interactions. We discuss design implications for CAs, and directions for developing adaptive agents based on users' conversational behaviors.read more
Citations
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Book
Entertainment Industry Economics: A Guide for Financial Analysis
TL;DR: In this paper, the authors present a review of media-dependent entertainment, focusing on the following: 1. Media-Dependent Entertainment: 2. Movie macroeconomics 3. Making and marketing movies 4. Financial accounting in movies and television 5. Music 6. Broadcasting 7. Cable 8. Publishing and New Media 9. Live Entertainment: 10. Gaming and wagering 11. Sports 12. Performing arts and culture 13. Amusement/theme parks 14. Epilogue.
Proceedings ArticleDOI
Evaluating and Informing the Design of Chatbots
TL;DR: A study with 16 first-time chatbot users interacting with eight chatbots over multiple sessions on the Facebook Messenger platform revealed that users preferred chatbots that provided either a 'human-like' natural language conversation ability, or an engaging experience that exploited the benefits of the familiar turn-based messaging interface.
Proceedings ArticleDOI
Chatbots, Humbots, and the Quest for Artificial General Intelligence
Jonathan Grudin,Richard Jacques +1 more
TL;DR: The conversational agent space, difficulties in meeting user expectations, potential new design approaches, uses of human-bot hybrids, and implications for the ultimate goal of creating software with general intelligence are described.
Proceedings ArticleDOI
Resilient Chatbots: Repair Strategy Preferences for Conversational Breakdowns
TL;DR: It is found that providing options and explanations were generally favored, as they manifest initiative from the chatbot and are actionable to recover from breakdowns, and provide a nuanced understanding on the strengths and weaknesses of each repair strategy.
References
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BookDOI
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