Cyberguide: a mobile context-aware tour guide
Wireless Networks - Special issue: mobile computing and networking: selected papers from MobiCom '96
Mobile computing in the retail arena
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
FaThumb: a facet-based interface for mobile search
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Recognizing context for annotating a live life recording
Personal and Ubiquitous Computing - Memory and Sharing of Experiences
A diary study of mobile information needs
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Query suggestions for mobile search: understanding usage patterns
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Mobile findex: supporting mobile web search with automatic result categories
Proceedings of the 9th international conference on Human computer interaction with mobile devices and services
Understanding the intent behind mobile information needs
Proceedings of the 14th international conference on Intelligent user interfaces
Location-based activity recognition using relational Markov networks
IJCAI'05 Proceedings of the 19th international joint conference on Artificial intelligence
Task ontology-based modeling framework for navigation of mobile internet services
EurolMSA '07 Proceedings of the Third IASTED European Conference on Internet and Multimedia Systems and Applications
Investigating selection and reading performance on a mobile phone while walking
Proceedings of the 12th international conference on Human computer interaction with mobile devices and services
Preprocessing techniques for context recognition from accelerometer data
Personal and Ubiquitous Computing
A web-based pervasive recommendation system for mobile tourist guides
Personal and Ubiquitous Computing
Task knowledge based retrieval for service relevant to mobile user's activity
ISWC'05 Proceedings of the 4th international conference on The Semantic Web
Predestination: inferring destinations from partial trajectories
UbiComp'06 Proceedings of the 8th international conference on Ubiquitous Computing
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People routinely carry mobile devices in their daily lives and obtain a variety of information from the Internet in many different situations. In searching for information (content) with a mobile device, a user's activity (e.g., moving or stationary) and context (e.g., commuting in the morning or going downtown in the evening) often change, and such changes can affect the user's degree of concentration on his or her mobile device's display and information needs. Therefore, a search system should provide the user with an amount of information suitable for the current activity and a type of information suitable for the current context. In this study, we present the design and implementation of a content search system that considers a mobile user's activity and context, with the goal of reducing the user's operation load for content search. The proposed system switches between two kinds of content search systems according to the user's activity: the location-based content search system is activated when the user is stationary (e.g., standing and sitting), while a menu-based content search system is activated when the user is moving (e.g., walking). Both systems present information according to user context. The location-based system presents detailed information via menus and a map according to location-based categories. The menu-based system presents only a few options to enable users to get content easily. Through user experiments, we confirmed that participants could get desired information more easily with this system than with a commercial search system.