Abstract
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.
Original language | English |
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Title of host publication | Academic Mindtrek 2022 |
Subtitle of host publication | Proceedings of the 25th International Academic Mindtrek Conference |
Place of Publication | New York |
Publisher | Association for Computing Machinery (ACM) |
Pages | 75-88 |
ISBN (Electronic) | 978-1-4503-9955-5 |
DOIs | |
Publication status | Published - 16 Nov 2022 |
MoE publication type | A4 Article in a conference publication |
Event | 25th International Academic Mindtrek Conference, Academic Mindtrek 2022 - Tampere, Finland Duration: 16 Nov 2022 → 18 Nov 2022 |
Conference
Conference | 25th International Academic Mindtrek Conference, Academic Mindtrek 2022 |
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Country/Territory | Finland |
City | Tampere |
Period | 16/11/22 → 18/11/22 |
Keywords
- Artificial intelligence
- Data
- Datafication
- Digital model
- Digital shadow
- Digital twin
- Intelligent technologies
- Machine learning