Self Determination Theory in HCI Advancing the Field
- Nick Ballou,
- Dorian Peters,
- Gabriela Villalobos-Zúñiga,
- ,
- Rafael A. Calvo,
- Sebastian Deterding
- Imperial College London,
- University of Cambridge,
- University of Lausanne,
- ,
Research Output:
Journal Article or Conference Article in Journal
Journal article
Peer-reviewOpen access
Abstract
Self-determination theory (SDT) has been widely successful in human–computer interaction (HCI). It offers ready concepts, measures, and theoretical propositions for third wave HCI topics such as user experience, fun, wellbeing, motivation, or user autonomy. Still, HCI applications of SDT have been partial, at times superficial, and disconnecting—leaving great unfulfilled potential which motivated the present special issue. In this introduction, we present SDT to interested scholars, chart its use across HCI to date, and outline six advances
to move HCI toward more intentional applications of SDT. As the articles from this issue illustrate, future growth areas of SDT in HCI are in extending domain-specific models and applications, harnessing underused parts of theory, computational formalization, extending levels of analysis, facilitating design translation, and engaging in a cross-disciplinary dialogue on autonomy.
to move HCI toward more intentional applications of SDT. As the articles from this issue illustrate, future growth areas of SDT in HCI are in extending domain-specific models and applications, harnessing underused parts of theory, computational formalization, extending levels of analysis, facilitating design translation, and engaging in a cross-disciplinary dialogue on autonomy.
Publication Information
Output type
Research Output:
Journal Article or Conference Article in Journal
Journal article
Peer-reviewOriginal language
EnglishPages from-to (Number of pages)
Pages 331-341 (11 pages)Journal (Volume, Issue Number)
Interacting with Computers (Volume 38, Issue 3)Publication milestones
- Accepted/In press - 12/03/2026
- Published - 01/04/2026
Publication status
Published - 01/04/2026
ISSN
0953-5438Publication IDs
- ORCID: /0000-0003-0076-6703/work/208258550
- Scopus: 105035737142
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Funding Details
R.A.C. and D.P. were partially funded by the Leverhulme Trust through
the Leverhulme Centre for the Future of Intelligence.
FunderFunding numbers
The Leverhulme Trust
-