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

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

doi:10.1145/3569219.3569376

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

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

BA5610 Human-centric AI

University of Oulu

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

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
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	https://doi.org/10.1145/3569219.3569376
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
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

Access to Document

10.1145/3569219.3569376

Cite this

@inproceedings{9cccb512ab9f43b4b4b8786cd10b428e,

title = "HCI and Digital Twins - A Critical Look: A Literature Review",

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.",

keywords = "Artificial intelligence, Data, Datafication, Digital model, Digital shadow, Digital twin, Intelligent technologies, Machine learning",

author = "Fanny Vainionp{\"a}{\"a} and Marianne Kinnula and Atte Kinnula and Kari Kuutti and Simo Hosio",

note = "Funding Information: 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. Publisher Copyright: {\textcopyright} 2022 Owner/Author.; 25th International Academic Mindtrek Conference, Academic Mindtrek 2022 ; Conference date: 16-11-2022 Through 18-11-2022",

year = "2022",

month = nov,

day = "16",

doi = "10.1145/3569219.3569376",

language = "English",

pages = "75--88",

booktitle = "Academic Mindtrek 2022",

publisher = "Association for Computing Machinery (ACM)",

address = "United States",

}

Vainionpää, F, Kinnula, M, Kinnula, A, Kuutti, K & Hosio, S 2022, HCI and Digital Twins - A Critical Look: A Literature Review. in Academic Mindtrek 2022: Proceedings of the 25th International Academic Mindtrek Conference. Association for Computing Machinery (ACM), New York, pp. 75-88, 25th International Academic Mindtrek Conference, Academic Mindtrek 2022, Tampere, Finland, 16/11/22. https://doi.org/10.1145/3569219.3569376

HCI and Digital Twins - A Critical Look : A Literature Review. / Vainionpää, Fanny; Kinnula, Marianne; Kinnula, Atte et al.

Academic Mindtrek 2022: Proceedings of the 25th International Academic Mindtrek Conference. New York : Association for Computing Machinery (ACM), 2022. p. 75-88.

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

TY - GEN

T1 - HCI and Digital Twins - A Critical Look

T2 - 25th International Academic Mindtrek Conference, Academic Mindtrek 2022

AU - Vainionpää, Fanny

AU - Kinnula, Marianne

AU - Kinnula, Atte

AU - Kuutti, Kari

AU - Hosio, Simo

N1 - Funding Information: 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. Publisher Copyright: © 2022 Owner/Author.

PY - 2022/11/16

Y1 - 2022/11/16

N2 - 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.

AB - 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.

KW - Artificial intelligence

KW - Data

KW - Datafication

KW - Digital model

KW - Digital shadow

KW - Digital twin

KW - Intelligent technologies

KW - Machine learning

UR - http://www.scopus.com/inward/record.url?scp=85142615528&partnerID=8YFLogxK

U2 - 10.1145/3569219.3569376

DO - 10.1145/3569219.3569376

M3 - Conference article in proceedings

AN - SCOPUS:85142615528

SP - 75

EP - 88

BT - Academic Mindtrek 2022

PB - Association for Computing Machinery (ACM)

CY - New York

Y2 - 16 November 2022 through 18 November 2022

ER -

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

Abstract

Conference

Keywords

Access to Document

Other files and links

Fingerprint

Cite this