Chatbot Research and Design
Description
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.
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Content
Chatbot UX and User Perceptions.- Should a Chatbot Disclose Itself? Implications for an Online Conversational Retailer.- Too Informal? How a Chatbot's Communication Style Affects Brand Attitude and Quality of Interaction.- User Perception of Text-Based Chatbot Personality.- The Ontological Classification of Conversational Agents. An Adaptation of Piaget's Equilibration Theory.- Show, Don't Tell. Reflections on the Design of Multi-modal Conversational Interfaces.- Social and Relational Chatbots.- Questions to Loving a Chatbot: Are People Willing to Self-Disclose to a Chatbot.- "I'm Here for You": Can Social Chatbots Truly Support Their Users? A Literature Review.- Grätzelbot: Social Companion Technology for Community Building among University Freshmen.- Chatbot Applications.- Heuristic Evaluation of COVID-19 Chatbots.- Go to Chapter X to Explore Interactive Narrative on Smart Assistants.- Conversational Agents to Promote Children's Verbal Communication Skills.- Chatbots for CustomerService.- More than FAQ! Chatbot Taxonomy for Business-to-Business Customer Services.- Customer Service Chatbots: A Qualitative Interview Study into the Communication Journey of Customers.- Understanding the User Experience of Customer Service Chatbots: What Can We Learn from Customer Satisfaction Surveys.
