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CHI '95 Conference Companion on Human Factors in Computing Systems
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Conference Companion on Human Factors in Computing Systems
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CHI '99 Extended Abstracts on Human Factors in Computing Systems
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Proceedings of the HCI International '99 (the 8th International Conference on Human-Computer Interaction) on Human-Computer Interaction: Communication, Cooperation, and Application Design-Volume 2 - Volume 2
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ISWC '97 Proceedings of the 1st IEEE International Symposium on Wearable Computers
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IEEE Pervasive Computing
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CHI '01 Extended Abstracts on Human Factors in Computing Systems
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DIS '02 Proceedings of the 4th conference on Designing interactive systems: processes, practices, methods, and techniques
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Computers in Entertainment (CIE) - Theoretical and Practical Computer Applications in Entertainment
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Personal and Ubiquitous Computing
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Proceedings of the 7th international conference on Human computer interaction with mobile devices & services
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User Modeling and User-Adapted Interaction
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Personal and Ubiquitous Computing
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MUM '05 Proceedings of the 4th international conference on Mobile and ubiquitous multimedia
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ECSCW'03 Proceedings of the eighth conference on European Conference on Computer Supported Cooperative Work
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Computer Supported Cooperative Work
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Proceedings of the 7th ACM conference on Designing interactive systems
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Proceedings of the 2008 ACM conference on Computer supported cooperative work
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Personal and Ubiquitous Computing
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Computers in Human Behavior
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HCI'07 Proceedings of the 12th international conference on Human-computer interaction: interaction platforms and techniques
International Journal of Human-Computer Studies
Edutainment'11 Proceedings of the 6th international conference on E-learning and games, edutainment technologies
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Item selection is a key problem in electronic guidebook design. Many systems do not apply so-called context-awareness technologies to infer user interest, placing the entire burden of selection on the user. Conversely, to make selection easier, many systems automatically eliminate information that they infer is not of interest to the user. However, such systems often eliminate too much information, preventing the user from finding what they want.To realize the full potential of electronic guidebooks, designers must strike the right balance between automatic context-based inference and manual selection. In this paper, we introduce a task-oriented model of item selection for electronic guidebooks to help designers explore this continuum. We argue that item selection contains three sub-tasks and that these sub-tasks should be considered explicitly in system design. We apply our model to existing systems, demonstrating pitfalls of combining sub-tasks, and discuss how our model has improved the design of our own guidebook prototype.