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Titlebook: Chatbot Research and Design; 4th International Wo Asbj?rn F?lstad,Theo Araujo,Petter Bae Brandtzaeg Conference proceedings 2021 Springer Na

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書目名稱Chatbot Research and Design
副標(biāo)題4th International Wo
編輯Asbj?rn F?lstad,Theo Araujo,Petter Bae Brandtzaeg
視頻videohttp://file.papertrans.cn/225/224172/224172.mp4
叢書名稱Lecture Notes in Computer Science
圖書封面Titlebook: Chatbot Research and Design; 4th International Wo Asbj?rn F?lstad,Theo Araujo,Petter Bae Brandtzaeg Conference proceedings 2021 Springer Na
描述This book constitutes the proceedings of the 4.th. International Workshop on Chatbot Research and Design, CONVERSATIONS 2020, which was held during November 23-24, 2020, hosted by the University of Amsterdam. The conference was planned to take place in Amsterdam, The Netherlands, but changed to an online format due to the COVID-19 pandemic..The 14 papers included in this volume were carefully reviewed and selected from a total of 36 submissions. The papers in the proceedings are structured in four topical groups: Chatbot UX and user perceptions, social and relational chatbots, chatbot applications, and chatbots for customer service. The papers provide new knowledge through empirical, theoretical, or design contributions..
出版日期Conference proceedings 2021
關(guān)鍵詞artificial intelligence; autonomous agents; chatbot applications; chatbots; computer networks; conversati
版次1
doihttps://doi.org/10.1007/978-3-030-68288-0
isbn_softcover978-3-030-68287-3
isbn_ebook978-3-030-68288-0Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer Nature Switzerland AG 2021
The information of publication is updating

書目名稱Chatbot Research and Design影響因子(影響力)




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https://doi.org/10.1007/978-1-4302-0432-9he story are also described and presented through the smart assistant program. Results from a small-scale experiment are presented and the potential of this conversational interface for interactive spoken-word literature is discussed.
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Matthew MacDonald,Mario Szpusztateristics of the intents associated with particularly high or low customer experience, suggesting paths towards efficient improvement of chatbot user experience. Based on the findings, we point to key implications for theory and practice and suggest directions for future research.
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