Work in Progress

How do employees imagine AI they want to work with: A drawing study

Authors:

Samantha Straka,

Martin Jakobus Koch,

Astrid Carolus,

Marc Erich Latoschik,

Carolin WienrichAuthors Info & Claims

CHI EA '23: Extended Abstracts of the 2023 CHI Conference on Human Factors in Computing Systems

Article No.: 160, Pages 1 - 8

https://doi.org/10.1145/3544549.3585631

Published: 19 April 2023 Publication History

Abstract

Perceptions about AI influence the attribution of characteristics and the interaction with AI. To find out how workers imagine an AI they would like to work with and what characteristics they attribute to it, we asked 174 working individuals to draw an AI they would like to work with, to report five adjectives they associate with their drawing and to evaluate the drawn and three other, typical AI representations (e.g. robot, smartphone) either presented as male or female. Participants mainly drew humanoid or robotic AIs. The adjectives that describe AI mainly referred to the inner characteristics, capabilities, shape, or relationship types. Regarding the evaluation, we identified four dimensions (warmth, competence, animacy, size) that can be reproduced for male and female AIs and different AI representations. This work addresses diverse conceptions of AI in the workplace and shows that human-centered AI development is necessary to address the huge design space.

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Cited By

Huber SPapenfuß NWeppert LWohlfart VBasch JHappel OGrundgeiger T(2024)Hiring an AI: Incorporating Personnel Selection Methods in User-Centered Design to Design AI Agents for Safety-Critical DomainsAdjunct Proceedings of the 2024 Nordic Conference on Human-Computer Interaction10.1145/3677045.3685418(1-9)Online publication date: 13-Oct-2024
https://dl.acm.org/doi/10.1145/3677045.3685418
Wienrich CLatoschik MObremski D(2024)Gender Differences and Social Design in Human-AI Collaboration: Insights from Virtual Cobot Interactions Under Varying Task LoadsExtended Abstracts of the CHI Conference on Human Factors in Computing Systems10.1145/3613905.3650827(1-8)Online publication date: 11-May-2024
https://dl.acm.org/doi/10.1145/3613905.3650827
Krop PKoch MCarolus ALatoschik MWienrich C(2024)The Effects of Expertise, Humanness, and Congruence on Perceived Trust, Warmth, Competence and Intention to Use Embodied AIExtended Abstracts of the CHI Conference on Human Factors in Computing Systems10.1145/3613905.3650749(1-9)Online publication date: 11-May-2024
https://dl.acm.org/doi/10.1145/3613905.3650749

Index Terms

How do employees imagine AI they want to work with: A drawing study
1. Human-centered computing
  1. Human computer interaction (HCI)
    1. Empirical studies in HCI

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cover image ACM Conferences

CHI EA '23: Extended Abstracts of the 2023 CHI Conference on Human Factors in Computing Systems

April 2023

3914 pages

ISBN:9781450394222

DOI:10.1145/3544549

Editors:
Albrecht Schmidt
LMU Munich, Germany
,
Kaisa Väänänen
Tampere University, Finland
,
Tesh Goyal
Google Research, USA
,
Per Ola Kristensson
University of Cambridge, UK
,
Anicia Peters
University of Namibia, Namibia

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Published: 19 April 2023

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Cited By

Huber SPapenfuß NWeppert LWohlfart VBasch JHappel OGrundgeiger T(2024)Hiring an AI: Incorporating Personnel Selection Methods in User-Centered Design to Design AI Agents for Safety-Critical DomainsAdjunct Proceedings of the 2024 Nordic Conference on Human-Computer Interaction10.1145/3677045.3685418(1-9)Online publication date: 13-Oct-2024
https://dl.acm.org/doi/10.1145/3677045.3685418
Wienrich CLatoschik MObremski D(2024)Gender Differences and Social Design in Human-AI Collaboration: Insights from Virtual Cobot Interactions Under Varying Task LoadsExtended Abstracts of the CHI Conference on Human Factors in Computing Systems10.1145/3613905.3650827(1-8)Online publication date: 11-May-2024
https://dl.acm.org/doi/10.1145/3613905.3650827
Krop PKoch MCarolus ALatoschik MWienrich C(2024)The Effects of Expertise, Humanness, and Congruence on Perceived Trust, Warmth, Competence and Intention to Use Embodied AIExtended Abstracts of the CHI Conference on Human Factors in Computing Systems10.1145/3613905.3650749(1-9)Online publication date: 11-May-2024
https://dl.acm.org/doi/10.1145/3613905.3650749

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