University of Oulu

Fanny Vainionpää, Marianne Kinnula, Atte Kinnula, Kari Kuutti, and Simo Hosio. 2022. HCI and Digital Twins – A Critical Look: A Literature Review. In 25th International Academic Mindtrek conference (Academic Mindtrek 2022), November 16–18, 2022, Tampere, Finland. ACM, New York, NY, USA, 14 pages.

HCI and digital twins – a critical look : a literature review

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Author: Vainionpää, Fanny1; Kinnula, Marianne1; Kinnula, Atte2;
Organizations: 1INTERACT Research Unit, University of Oulu, Finland
2VTT Technical Research Center of Finland, Finland
3Center for Ubiquitous Computing, University of Oulu, Finland
Format: article
Version: accepted version
Access: open
Online Access: PDF Full Text (PDF, 0.7 MB)
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Language: English
Published: Association for Computing Machinery, 2022
Publish Date: 2022-12-19


Digital twins (DTs) are one form of datafication. They are virtual reflections of physical world entities, of objects and phenomena, and are rapidly becoming an asset for innovation. There is a growing body of literature on DTs in various technology-related fields. A critical thread has emerged within this body, warning on the danger to forget that the digital part is always only a partial representation of real life, and that this partiality is always selective and biased for a specific purpose. It may thus serve some group of stakeholders better than others. We contribute with a literature review on the current understanding and use of the DT concept in the field of HCI. Our results consolidate the current understanding of DTs’ potential in HCI and note the omission of the critical perspective within the reviewed literature. The paper opens discussion of what HCI can bring to DT development and use.

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ISBN: 978-1-4503-9955-5
Pages: 75 - 88
DOI: 10.1145/3569219.3569376
Host publication: Proceedings of the 25th international academic Mindtrek conference
Conference: International Academic Mindtrek Conference
Type of Publication: A4 Article in conference proceedings
Field of Science: 113 Computer and information sciences
Funding: This research is connected to the GenZ project, a strategic profiling project in human sciences at the University of Oulu. The project is supported by the Academy of Finland (grant agreement No. 318930, Profi4) and the University of Oulu.
Academy of Finland Grant Number: 318930
Detailed Information: 318930 (Academy of Finland Funding decision)
Copyright information: © 2022 Copyright held by the owner/author(s). This work is licensed under a Creative Commons Attribution International 4.0 License.