Theory and models for creating engaging and immersive ecommerce Websites
SIGCPR '00 Proceedings of the 2000 ACM SIGCPR conference on Computer personnel research
A grounded theory of the flow experiences of web users
International Journal of Human-Computer Studies - Incorporating knowledge acquisition
Applying computational tools to predict gaze direction in interactive visual environments
ACM Transactions on Applied Perception (TAP)
Crowdsourcing user studies with Mechanical Turk
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Affective feedback: an investigation into the role of emotions in the information seeking process
Proceedings of the 31st annual international ACM SIGIR conference on Research and development in information retrieval
Measuring and defining the experience of immersion in games
International Journal of Human-Computer Studies
The development and evaluation of a survey to measure user engagement
Journal of the American Society for Information Science and Technology
The role of subjective factors in the information search process
Journal of the American Society for Information Science and Technology
The ownership and reuse of visual media
Proceedings of the 11th annual international ACM/IEEE joint conference on Digital libraries
User engagement: the network effect matters!
Proceedings of the 21st ACM international conference on Information and knowledge management
International Journal of Human-Computer Studies
Contextifier: automatic generation of annotated stock visualizations
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Proceedings of the 1st symposium on Spatial user interaction
Robust models of mouse movement on dynamic web search results pages
Proceedings of the 22nd ACM international conference on Conference on information & knowledge management
Quizz: targeted crowdsourcing with a billion (potential) users
Proceedings of the 23rd international conference on World wide web
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We study how the visual catchiness (saliency) of relevant information impacts user engagement metrics such as focused attention and emotion (affect). Participants completed tasks in one of two conditions, where the task-relevant information either appeared salient or non-salient. Our analysis provides insights into relationships between saliency, focused attention, and affect. Participants reported more distraction in the non-salient condition, and non-salient information was slower to find than salient. Lack-of-saliency led to a negative impact on affect, while saliency maintained positive affect, suggesting its helpfulness. Participants reported that it was easier to focus in the salient condition, although there was no significant improvement in the focused attention scale rating. Finally, this study suggests user interest in the topic is a good predictor of focused attention, which in turn is a good predictor of positive affect. These results suggest that enhancing saliency of user-interested topics seems a good strategy for boosting user engagement.