Conversation Starters: How Can We Misunderstand AI Better?

Iohanna Nicenboim, Shruthi Venkat, Neva Linn Rustad, Diana Vardanyan, Elisa Giaccardi, Johan Redström

Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

3 Citations (Scopus)
36 Downloads (Pure)


Conversation Starters is a series of interactive prototypes that probe how to design explainable interactions with AI in everyday life. Taking a more-than-human approach, we explore how 'failures' could be transformed into opportunities for situated understandings of AI. We describe the process of designing fictional artifacts and scenarios about conversational agents that can grow at home. While overall the project suggests that misunderstandings could help people develop sensitivities for knowing when to trust AI systems, the metaphor of 'growing an AI' (which positions training as a matter of care), highlights that practices of sharing and experimenting could be valuable starting points for designing explainable and trustworthy interactions with of AI.

Original languageEnglish
Title of host publicationCHI 2023 - Extended Abstracts of the 2023 CHI Conference on Human Factors in Computing Systems
PublisherAssociation for Computing Machinery (ACM)
Number of pages4
ISBN (Electronic)978-1-4503-9422-2
Publication statusPublished - 2023
Event2023 CHI Conference on Human Factors in Computing Systems - Congress Center Hamburg (CCH), Hamburg, Germany
Duration: 23 Apr 202328 Apr 2023

Publication series

NameConference on Human Factors in Computing Systems - Proceedings


Conference2023 CHI Conference on Human Factors in Computing Systems
Abbreviated titleCHI'23
Internet address

Bibliographical note

Green Open Access added to TU Delft Institutional Repository ‘You share, we take care!’ – Taverne project Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.


  • Artificial Intelligence
  • Conversational Agents
  • Conversational User Interfaces
  • Explainability of AI
  • More-than-human Design


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