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

By L. Clark, Nadia Pantidi, Orla Cooney, Philip R. Doyle, Diego Garaialde, Justin Edwards, Brendan Spillane, C. Murad, Cosmin Munteanu, Vincent P. Wade and 1 more. International Conference on Human Factors in Computing Systems, 2019

467 citations recorded by the source corpus.

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.

Subfields: Artificial Intelligence, Social Psychology

View Paper: https://www.semanticscholar.org/paper/b8905ad435d440bab6a2b0c5d2db39a078dbf281

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In Artificial Intelligence

  1. Lebogang Wame Molefi
  2. Asbjørn Følstad
  3. Mun Yong Yi
  4. Hyojin Chin

In Social Psychology

  1. Lebogang Wame Molefi
  2. Mun Yong Yi
  3. Hyojin Chin
  4. Asbjørn Følstad
  5. Petter Bae Brandtzaeg
  6. Knut Inge Fostervold
  7. M. Skjuve

Citations in the corpus