User Experience Evaluation in Interactive Systems
Summary
User experience evaluation in interactive systems encompasses the systematic assessment of how individuals perceive, interact with and respond to digital interfaces. This field integrates quantitative metrics and qualitative insights to capture pragmatic dimensions such as efficiency, effectiveness and learnability alongside hedonic factors including aesthetic appeal, engagement and emotional impact. Researchers employ diverse instruments—from standardised questionnaires and physiological measures to machine-learning analyses of continuous user feedback—to understand first-use impressions, longitudinal satisfaction and technology acceptance. Advances in contextual and multi-user environments have extended evaluation beyond single interactions, recognising social, cultural and collaborative influences. The global significance lies in guiding designers, developers and policymakers towards interactive solutions that are both accessible and compelling across domains ranging from healthcare to education and commercial applications.
Research from Nature Portfolio
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Research from all publishers
Recent developments have demonstrated the potential of automated classification tools to streamline user needs analysis. By combining the Kano model with deep-learning text classifiers, one study created a graphical interface that categorises user-expressed requirements into must-be, one-dimensional, attractive and indifferent attributes, achieving higher usability scores and reduced cognitive workload compared to traditional affinity-diagram methods.
In a clinical setting, a speech-recognition mobile application for point-of-care diagnostic ordering was evaluated using a short User Experience Questionnaire and the Unified Theory of Acceptance and Use of Technology. Physicians reported significant improvements in overall attractiveness, pragmatic quality and hedonic quality over a desktop workflow. Performance expectancy and effort expectancy emerged as primary predictors of acceptance, explaining over 65 percent of variance in behavioural intention.
A mixed-methods investigation into mobile application choice revealed that content relevance, usability and pleasurable interaction strongly predict overall satisfaction and adoption. Interviews and surveys highlighted that contextual recommendations and perceived reliability also drive rapid decision-making in app download and abandonment, underlining the importance of holistic evaluation across ecological factors.
User Experience Evaluation in Interactive Systems publication trend
The graph below shows the total number of articles in user experience evaluation in interactive systems across all publications each year (not limited to Nature Index journals).
Technical terms
User Experience (UX): The totality of users’ perceptions and responses resulting from the use or anticipated use of a system.
Usability: The degree to which a product can be used by specified users to achieve goals with effectiveness, efficiency and satisfaction in a specified context.
Pragmatic Quality: A measure of how well an interactive system supports task completion and goal achievement.
Hedonic Quality: A measure of the emotional and experiential aspects of interaction, including aesthetics and enjoyment.
Kano Model: A framework categorising user needs into basic, performance, attractive and indifferent features to guide design priorities.
Unified Theory of Acceptance and Use of Technology (UTAUT): A theoretical model identifying performance expectancy, effort expectancy and social influence as determinants of technology adoption.
References
- Automated Classification of User Needs for Beginner User Experience Designers: A Kano Model and Text Analysis Approach Using Deep Learning. AI (2024).
- Usability of a mHealth Solution using Speech Recognition for Point-of-care Diagnostic Management. Journal of Medical Systems (2023).
- Why people choose Apps: An evaluation of the ecology and user experience of mobile applications. International Journal of Human-Computer Studies (2023).
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