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What Makes a Good Conversation?: Challenges in Designing Truly Conversational Agents

Published: 02 May 2019 Publication History

Abstract

Conversational agents promise conversational interaction but fail to deliver. Efforts often emulate functional rules from human speech, without considering key characteristics that conversation must encapsulate. Given its potential in supporting long-term human-agent relationships, it is paramount that HCI focuses efforts on delivering this promise. We aim to understand what people value in conversation and how this should manifest in agents. Findings from a series of semi-structured interviews show people make a clear dichotomy between social and functional roles of conversation, emphasising the long-term dynamics of bond and trust along with the importance of context and relationship stage in the types of conversations they have. People fundamentally questioned the need for bond and common ground in agent communication, shifting to more utilitarian definitions of conversational qualities. Drawing on these findings we discuss key challenges for conversational agent design, most notably the need to redefine the design parameters for conversational agent interaction.

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cover image ACM Conferences
CHI '19: Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems
May 2019
9077 pages
ISBN:9781450359702
DOI:10.1145/3290605
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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Published: 02 May 2019

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Author Tags

  1. conversational agents
  2. interviews
  3. speech hci
  4. spoken dialogue systems
  5. voice user interface design

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  • Irish Research Council

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CHI '19 Paper Acceptance Rate 703 of 2,958 submissions, 24%;
Overall Acceptance Rate 6,199 of 26,314 submissions, 24%

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  • (2024)The Effect of AI Agent Gender on Trust and GroundingJournal of Theoretical and Applied Electronic Commerce Research10.3390/jtaer1901003719:1(692-704)Online publication date: 21-Mar-2024
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