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An integrated cognitive load-technology acceptance model for explaining behavioral intention to adopt Smart Physical
Dan Dou1, Bingyi Huang1, Qiulu Chen2
1School of Physical Education, Chongqing University of Posts and Telecommunications, Chongqing, China.
Frontiers in Psychology
|May 27, 2026
Summary
Undergraduates
Area of Science:
- Sports Science
- Educational Technology
- Human-Computer Interaction
Background:
- Smart Physical Education Systems aim to boost physical activity in higher education.
- Sustained engagement with these systems is a challenge.
- Existing models like the Technology Acceptance Model and Cognitive Load Theory offer partial explanations for technology adoption.
Purpose of the Study:
- To investigate how cognitive resource allocation influences undergraduates' intention to adopt Smart Physical Education Systems.
- To integrate Cognitive Load Theory and the Technology Acceptance Model for a comprehensive understanding of technology adoption in digital exercise contexts.
Main Methods:
- A survey of 1,349 undergraduates from five higher education institutions using Smart Physical Education Systems.
- Partial least squares structural equation modeling to analyze relationships between technology acceptance and cognitive load.
- An integrated model combining perceived ease of use, perceived usefulness, attitude toward use, behavioral intention, and intrinsic, extraneous, and germane cognitive load.
Main Results:
- Perceived ease of use, perceived usefulness, and attitude toward use positively predicted behavioral intention to adopt Smart Physical Education Systems.
- Germane cognitive load positively influenced perceived ease of use and usefulness, indirectly boosting behavioral intention.
- Intrinsic and extraneous cognitive load negatively impacted behavioral intention, highlighting the need for cognitive load management.
Conclusions:
- Undergraduates' adoption of Smart Physical Education Systems depends on perceived usefulness, ease of use, and cognitive resource allocation.
- The integrated Cognitive Load-Technology Acceptance Model provides a robust framework for understanding technology adoption in smart physical education.
- Findings offer theoretical insights and practical guidance for designing more effective Smart Physical Education Systems.
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