HCI and Digital Twins - A Critical Look: A Literature Review

Fanny Vainionpää, Marianne Kinnula, Atte Kinnula, Kari Kuutti, Simo Hosio

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

3 Citations (Scopus)


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 languageEnglish
Title of host publicationAcademic Mindtrek 2022
Subtitle of host publicationProceedings of the 25th International Academic Mindtrek Conference
Place of PublicationNew York
PublisherAssociation for Computing Machinery ACM
ISBN (Electronic)978-1-4503-9955-5
Publication statusPublished - 16 Nov 2022
MoE publication typeA4 Article in a conference publication
Event25th International Academic Mindtrek Conference, Academic Mindtrek 2022 - Tampere, Finland
Duration: 16 Nov 202218 Nov 2022


Conference25th International Academic Mindtrek Conference, Academic Mindtrek 2022


  • Artificial intelligence
  • Data
  • Datafication
  • Digital model
  • Digital shadow
  • Digital twin
  • Intelligent technologies
  • Machine learning


Dive into the research topics of 'HCI and Digital Twins - A Critical Look: A Literature Review'. Together they form a unique fingerprint.

Cite this