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Daniel C. Robbins

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Publications by Daniel C. Robbins (bibliography)

» 2008 «

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Robbins, Daniel C., Lee, Bongshin and Fernandez, Roland (2008): TapGlance: designing a unified smartphone interface. In: Proceedings of DIS08 Designing Interactive Systems 2008. pp. 386-394. Available online

“The difference between using one mobile phone and another can feel like learning a new language based on our extensive experience designing mobile applications for spatial data navigation, faceted search, and glanceable information, we have developed design principles for unifying the various aspects of the internet connected mobile phone ("smartphone") user experience. This paper presents TapGlance, a design proposal for a novel mobile phone user interface. TapGlance adapts its presentation to different levels of user attention, provides ubiquitous faceted search, and uses a zooming metaphor to unite inter- and intra-application navigation. Because our interface relies on a spatial metaphor it can also be adapted to non-textual representations and thus useful to broader populations. This paper describes our design goals, design process, and the resulting TapGlance design.”

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» 2006 «

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Karlson, Amy K., Robertson, George G., Robbins, Daniel C., Czerwinski, Mary and Smith, Greg R. (2006): FaThumb: a facet-based interface for mobile search. In: Proceedings of ACM CHI 2006 Conference on Human Factors in Computing Systems 2006. pp. 711-720. Available online

“In this paper we describe a novel approach for searching large data sets from a mobile phone. Existing interfaces for mobile search require keyword text entry and are not suited for browsing. Our alternative uses a hybrid model to de-emphasize tedious keyword entry in favor of iterative data filtering. We propose navigation and selection of hierarchical metadata (facet navigation), with incremental text entry to further narrow the results. We conducted a formative evaluation to understand the relative advantages of keyword entry versus facet navigation for both browse and search tasks on the phone. We found keyword entry to be more powerful when the name of the search target is known, while facet navigation is otherwise more effective and strongly preferred.”

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» 2004 «

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Robbins, Daniel C., Cutrell, Edward, Sarin, Raman and Horvitz, Eric (2004): ZoneZoom: map navigation for smartphones with recursive view segmentation. In: Costabile, Maria Francesca (ed.) AVI 2004 - Proceedings of the working conference on Advanced visual interfaces May 25-28, 2004, Gallipoli, Italy. pp. 231-234. Available online

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Robertson, George G., Horvitz, Eric, Czerwinski, Mary, Baudisch, Patrick, Hutchings, Dugald Ralph, Meyers, Brian, Robbins, Daniel C. and Smith, Greg (2004): Scalable Fabric: flexible task management. In: Costabile, Maria Francesca (ed.) AVI 2004 - Proceedings of the working conference on Advanced visual interfaces May 25-28, 2004, Gallipoli, Italy. pp. 85-89. Available online

» 2003 «

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Dumais, Susan, Cutrell, Edward, Cadiz, Jonathan J., Jancke, Gavin, Sarin, Raman and Robbins, Daniel C. (2003): Stuff I've seen: a system for personal information retrieval and re-use. In: Proceedings of the 26th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval 2003. pp. 72-79. Available online

“Most information retrieval technologies are designed to facilitate information discovery. However, much knowledge work involves finding and re-using previously seen information. We describe the design and evaluation of a system, called Stuff I've Seen (SIS), that facilitates information re-use. This is accomplished in two ways. First, the system provides a unified index of information that a person has seen, whether it was seen as email, web page, document, appointment, etc. Second, because the information has been seen before, rich contextual cues can be used in the search interface. The system has been used internally by more than 230 employees. We report on both qualitative and quantitative aspects of system use. Initial findings show that time and people are important retrieval cues. Users find information more easily using SIS, and use other search tools less frequently after installation.”

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