Skip to main content

Envisioning and Understanding Orientations to Introspective AI: Exploring a Design Space with Meta.Aware

Resource type
Date created
2023-04-19
Authors/Contributors
Author (aut): Brand, Nico
Author (aut): Odom, William
Author (aut): Barnett, Samuel
Abstract
Introspection is the practice of looking inward for ongoing self-examination. It involves considering one's past experiences and asking questions about the present and future. Our work investigates how AI could open new possibilities for supporting introspective experiences. Adopting a design fiction approach, we created a fictional company called Meta.Aware to contextualize 4 different Introspective AI product concepts in the form of video sketches. We used the Meta.Aware platform to conduct interviews with 17 participants, using the 4 concept videos as prompts for discussion. Participants had a range of reactions related to perceived benefits and tensions in this emerging design space. We interpret these results to outline future design directions for mobilizing AI as a resource to support introspective experiences over time, as well as to reflect on issues and dilemmas bound to this emerging design space.
Document
Identifier
DOI: 10.1145/3544548.3581426
Publication title
Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems
Document title
Envisioning and Understanding Orientations to Introspective AI: Exploring a Design Space with Meta.Aware
Publisher
ACM
Date
2023
First page
Article No. 175: 1
Last page
Article No. 175: 18
Publisher DOI
10.1145/3544548.3581336
Copyright statement
Copyright is held by the author(s).
Scholarly level
Peer reviewed?
Yes
Member of collection
Download file Size
Brand_IAI_CHI2023a.pdf 6.17 MB

Views & downloads - as of June 2023

Views: 0
Downloads: 0