Technology Acceptance and User Experience: A Review of the Experiential Component in HCI
Understanding the mechanisms that shape the adoption and use of information technology is central to human--computer interaction. Two accounts are particularly vocal about these mechanisms, namely the technology acceptance model (TAM) and work on user experience (UX) models. In this study, we review 37 papers in the overlap between TAM and UX models to explore the experiential component of human--computer interactions. The models provide rich insights about what constructs influence the experiential component of human--computer interactions and about how these constructs are related. For example, the effect of perceived enjoyment on attitude is stronger than those of perceived usefulness and perceived ease of use. It is less clear why the relations exist and under which conditions the models apply. We discuss four of the main theories used in reasoning about the experiential component and, for example, point to the near absence of psychological needs and negative emotions in the models. In addition, most of the reviewed studies are not tied to specific use episodes, thereby bypassing tasks as an explanatory variable and undermining the accurate measurement of experiences, which are susceptible to moment-to-moment changes. We end by summarizing the implications of our review for future research.
Research Questions / Practical Problems
Question signals indexed for this paper.
- 100%
How Do We Measure That?! Quick Scale Development
CHI '18· User Research Methods (Interviews, Surveys, Observation) +1
- 100%
A Bermuda Triangle? - A Review of Method Application and Triangulation in User Experience Evaluation
CHI '18· User Research Methods (Interviews, Surveys, Observation) +1
- 100%
The Meaning of Interactivity—Some Proposals for Definitions and Measures
CHI '18· User Research Methods (Interviews, Surveys, Observation) +1
- 100%
Psychometric Properties of the User Experience Questionnaire (UEQ)
CHI '22· User Research Methods (Interviews, Surveys, Observation) +1
- 100%
Deriving Selection Techniques for GUIs based on the Multiple Process Model
CHI '25· User Research Methods (Interviews, Surveys, Observation) +1
- 100%
Developing Persona Analytics Towards Persona Science
IUI '22· User Research Methods (Interviews, Surveys, Observation) +1
- 100%
How Problematic Are Suspenseful Interactions?
MobileHCI '25· User Research Methods (Interviews, Surveys, Observation) +1
- 75%
Evaluation Strategies for HCI Toolkit Research
CHI '18· User Research Methods (Interviews, Surveys, Observation) +1
- 75%
How Do We Measure That?! Quick Scale Development
CHI '18· User Research Methods (Interviews, Surveys, Observation)
- 75%
Empirical Research Methods for Human-Computer Interaction
CHI '18· User Research Methods (Interviews, Surveys, Observation) +1
Based on Jaccard similarity of research subtopics & professions (≥60%)