Towards User-Centric Guidelines for Chatbot Conversational Design

Abstract

The conversational nature of chatbots poses challenges to designers since their development is different from other software and requires investigating new practices in the context of human-AI interaction and their impact on user experience. Therefore, this work aims to unveil chatbot conversational practices alongside their impacts on users to build a web guide to support designers while conceiving conversations for chatbots. We have carried out a Systematic Literature Review (SLR) to identify linguist, visual, and interactive elements used in chatbot conversational design. The SLR resulted in 40 selected studies that were reviewed and coded into a set of conversational guidelines that were evaluated through a survey. Respondents strongly agreed that applying the proposed guidelines in chatbot development would induce greater user satisfaction and user engagement and the guide is usable, flexible, clear, and understandable, making it a great ally in building chatbots with an improved user experience.

arXiv commentInternational Journal of Human-Computer Interaction (2022)

References in corpus (5)

• How should my chatbot interact? A survey on human-chatbot interaction design
• If I Hear You Correctly: Building and Evaluating Interview Chatbots with Active Listening Skills
• Effects of Persuasive Dialogues: Testing Bot Identities and Inquiry Strategies
• Can a Humorous Conversational Agent Enhance Learning Experience and Outcomes?
• Inclusion and Exclusion Criteria in Software Engineering Tertiary Studies: A Systematic Mapping and Emerging Framework

Cited by in corpus (3)

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• Assessing the Applicability of Existing Design Recommendations to AI Companion Design: A Multi-Method Study