Shift and Blend

Understanding the hybrid character of computing artefacts on a tool-agent spectrum

Conference Paper (2020)
Author(s)

Marco P. Rozendaal (TU Delft - Human Technology Relations)

E. van Beek (TU Delft - Human Factors)

Pim Haselager (Radboud Universiteit Nijmegen)

David A. Abbink (TU Delft - Human-Robot Interaction)

C.M. Jonker (TU Delft - Interactive Intelligence)

Research Group
Human Factors
Copyright
© 2020 M.C. Rozendaal, E. van Beek, Pim Haselager, D.A. Abbink, C.M. Jonker
DOI related publication
https://doi.org/10.1145/3406499.3415066
More Info
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Publication Year
2020
Language
English
Copyright
© 2020 M.C. Rozendaal, E. van Beek, Pim Haselager, D.A. Abbink, C.M. Jonker
Research Group
Human Factors
Bibliographical Note
Green Open Access added to TU Delft Institutional Repository ‘You share, we take care!’ – Taverne project https://www.openaccess.nl/en/you-share-we-take-care 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.@en
Pages (from-to)
171-178
ISBN (print)
978-1-4503-8054-6
ISBN (electronic)
9781450380546
Reuse Rights

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Abstract

In the context of human-agent interaction, we see the emergence of computational artefacts that display hybridity because they can be experienced as tools and agents. In this paper we propose a tool-agent spectrum as an analytical lens that uses ‘intention’ as a central concept. This spectrum aims to clarify how a computational object can change from being conducive to the intentions of others (‘tool’) to appearing to have intentions of its own (‘agent’), or vice versa. We have applied this analytical lens to unravel people’s experiences in two hybrid cases; guide dogs as a living mobility aid for the visually impaired and an experimental wearable object named “BagSight” as a rudimentary artificial
counterpart. We compared both cases through the lens of a toolagent spectrum and elaborate on these results by discussing some of the principles by which computational artefacts can shift across the spectrum. We conclude by discussing the limitations of this study and provide suggestions for future work.

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