Hedonic and ergonomic quality aspects determine a software's appeal
Proceedings of the SIGCHI conference on Human Factors in Computing Systems
A person-artefact-task (PAT) model of flow antecedents in computer-mediated environments
International Journal of Human-Computer Studies - Special issue on HCI and MIS
Assessing dimensions of perceived visual aesthetics of web sites
International Journal of Human-Computer Studies - Incorporating knowledge acquisition
Design aesthetics leading to m-loyalty in mobile commerce
Information and Management
Evaluating the consistency of immediate aesthetic perceptions of web pages
International Journal of Human-Computer Studies
Towards a theory of user judgment of aesthetics and user interface quality
ACM Transactions on Computer-Human Interaction (TOCHI)
The role of context in perceptions of the aesthetics of web pages over time
International Journal of Human-Computer Studies
The product as a fixed-effect fallacy
Human-Computer Interaction
Needs, affect, and interactive products - Facets of user experience
Interacting with Computers
Handbook of Partial Least Squares: Concepts, Methods and Applications
Handbook of Partial Least Squares: Concepts, Methods and Applications
Experience Design: Technology for All the Right Reasons
Experience Design: Technology for All the Right Reasons
An integrated model of interaction experience for information retrieval in a Web-based encyclopaedia
Interacting with Computers
interactions
Love it or hate it!: interactivity and user types
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
TRIGGER: maximizing functional effect of using products
DUXU'13 Proceedings of the Second international conference on Design, User Experience, and Usability: web, mobile, and product design - Volume Part IV
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In many situations, people make judgments on the basis of incomplete information, inferring unavailable attributes from available ones. These inference processes may also well operate when judgments about a product’s user-experience are made. To examine this, an inference model of user-experience, based on Hassenzahl and Monk’s [2010], was explored in three studies using Web sites. All studies supported the model’s predictions and its stability, with hands-on experience, different products, and different usage modes (action mode versus goal mode). Within a unified framework of judgment as inference [Kruglanski et al. 2007], our approach allows for the integration of the effects of a wide range of information sources on judgments of user-experience.