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1Arazy, O. ; Stroulia, E. ; Ruecker, S. ; Arias, C. ; Fiorentino, C. ; Ganev, V. ; Yau, T.: Recognizing contributions in wikis : authorship categories, algorithms, and visualizations.
In: Journal of the American Society for Information Science and Technology. 61(2010) no.6, S.1166-1179.
Abstract: Wikis are designed to support collaborative editing, without focusing on individual contribution, such that it is not straightforward to determine who contributed to a specific page. However, as wikis are increasingly adopted in settings such as business, government, and education, where editors are largely driven by career goals, there is a perceived need to modify wikis so that each editor's contributions are clearly presented. In this paper we introduce an approach for assessing the contributions of wiki editors along several authorship categories, as well as a variety of information glyphs for visualizing this information. We report on three types of analysis: (a) assessing the accuracy of the algorithms, (b) estimating the understandability of the visualizations, and (c) exploring wiki editors' perceptions regarding the extent to which such an approach is likely to change their behavior. Our findings demonstrate that our proposed automated techniques can estimate fairly accurately the quantity of editors' contributions across various authorship categories, and that the visualizations we introduced can clearly convey this information to users. Moreover, our user study suggests that such tools are likely to change wiki editors' behavior. We discuss both the potential benefits and risks associated with solutions for estimating and visualizing wiki contributions.
2Given, L.M. ; Ruecker, S. ; Simpson, H. ; Sadler, E. ; Ruskin, A.: Inclusive interface design for seniors : Image-browsing for a health information context.
In: Journal of the American Society for Information Science and Technology. 58(2007) no.11, S.1610-1617.
Abstract: This study explores an image-based retrieval interface for drug information, focusing on usability for a specific population - seniors. Qualitative, task-based interviews examined participants' health information behaviors and documented search strategies using an existing database (www.drugs.com) and a new prototype that uses similarity-based clustering of pill images for retrieval. Twelve participants (aged 65 and older), reflecting a diversity of backgrounds and experience with Web-based resources, located pill information using the interfaces and discussed navigational and other search preferences. Findings point to design features (e.g., image enlargement) that meet seniors' needs in the context of other health-related information-seeking strategies (e.g., contacting pharmacists).
Themenfeld: Suchoberflächen ; Visualisierung