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Chatbot Research and Design

Overview of attention for book
Cover of 'Chatbot Research and Design'

Table of Contents

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    Book Overview
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    Chapter 1 Conversational Agents in Healthcare: Using QCA to Explain Patients’ Resistance to Chatbots for Medication
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    Chapter 2 An Approach for Ex-Post-Facto Analysis of Knowledge Graph-Driven Chatbots – The DBpedia Chatbot
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    Chapter 3 Privacy Concerns in Chatbot Interactions
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    Chapter 4 Creating Humanlike Chatbots: What Chatbot Developers Could Learn from Webcare Employees in Adopting a Conversational Human Voice
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    Chapter 5 The Conversational Agent “Emoty” Perceived by People with Neurodevelopmental Disorders: Is It a Human or a Machine?
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    Chapter 6 Gender Bias in Chatbot Design
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    Chapter 7 Conversational Web Interaction: Proposal of a Dialog-Based Natural Language Interaction Paradigm for the Web
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    Chapter 8 Designing Chatbots for Guiding Online Peer Support Conversations for Adults with ADHD
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    Chapter 9 Towards Chatbots to Support Bibliotherapy Preparation and Delivery
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    Chapter 10 CivicBots – Chatbots for Supporting Youth in Societal Participation
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    Chapter 11 Using Theory of Mind to Assess Users’ Sense of Agency in Social Chatbots
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    Chapter 12 Exploring Age Differences in Motivations for and Acceptance of Chatbot Communication in a Customer Service Context
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    Chapter 13 Improving Conversations: Lessons Learnt from Manual Analysis of Chatbot Dialogues
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    Chapter 14 Conversational Repair in Chatbots for Customer Service: The Effect of Expressing Uncertainty and Suggesting Alternatives
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    Chapter 15 Working Together with Conversational Agents: The Relationship of Perceived Cooperation with Service Performance Evaluations
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    Chapter 16 Chatbots for the Information Acquisition at Universities – A Student’s View on the Application Area
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    Chapter 17 A Configurable Agent to Advance Peers’ Productive Dialogue in MOOCs
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    Chapter 18 Small Talk Conversations and the Long-Term Use of Chatbots in Educational Settings – Experiences from a Field Study
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Title
Chatbot Research and Design
Published by
Springer International Publishing, April 2020
DOI 10.1007/978-3-030-39540-7
ISBNs
978-3-03-039539-1, 978-3-03-039540-7
Editors

Følstad, Asbjørn, Araujo, Theo, Papadopoulos, Symeon, Law, Effie Lai-Chong, Granmo, Ole-Christoffer, Luger, Ewa, Brandtzaeg, Petter Bae

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X Demographics

The data shown below were collected from the profiles of 28 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 39 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 39 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 8 21%
Student > Bachelor 7 18%
Student > Ph. D. Student 6 15%
Researcher 5 13%
Student > Doctoral Student 3 8%
Other 2 5%
Unknown 8 21%
Readers by discipline Count As %
Computer Science 9 23%
Social Sciences 5 13%
Business, Management and Accounting 3 8%
Economics, Econometrics and Finance 3 8%
Engineering 3 8%
Other 7 18%
Unknown 9 23%