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Article . 2026 . Peer-reviewed
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Interacting with Computers
Article . 2026 . Peer-reviewed
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Article . 2026
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Self-Determination Theory in HCI: Advancing the Field

Authors: Nick Ballou; Dorian Peters; Gabriela Villalobos-Zúñiga; Elisa D Mekler; Rafael Alejandro Calvo; Sebastian Deterding;

Self-Determination Theory in HCI: Advancing the Field

Abstract

Self-determination theory (SDT) has been widely successful in HCI. It offers ready concepts, measures, and theoretical propositions for third wave HCI topics like 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 formalisation; extending levels of analysis; facilitating design translation; and engaging in a cross-disciplinary dialogue on autonomy.

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    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green
hybrid