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179
Investigating behavioral variability in Web search
- In Proc. WWW
, 2007
"... Understanding the extent to which people’s search behaviors differ in terms of the interaction flow and information targeted is important in designing interfaces to help World Wide Web users search more effectively. In this paper we describe a longitudinal log-based study that investigated variabili ..."
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Cited by 125 (40 self)
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Understanding the extent to which people’s search behaviors differ in terms of the interaction flow and information targeted is important in designing interfaces to help World Wide Web users search more effectively. In this paper we describe a longitudinal log-based study that investigated variability in people’s interaction behavior when engaged in search-related activities on the Web. We analyze the search interactions of more than two thousand volunteer users over a five-month period, with the aim of characterizing differences in their interaction styles. The findings of our study suggest that there are dramatic differences in variability in key aspects of the interaction within and between users, and within and between the search queries they submit. Our findings also suggest two classes of extreme user – navigators and explorers – whose search interaction is highly consistent or highly variable. Lessons learned from these users can inform the design of tools to support effective Web-search interactions for everyone.
ScentTrails: Integrating Browsing and Searching on the Web
- ACM TRANSACTIONS ON COMPUTER-HUMAN INTERACTION
, 2003
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What are you looking for?: an eye-tracking study of information usage in web search.
- In Proceedings of the Proceedings of the SIGCHI conference on Human factors in computing systems, ACM,
, 2007
"... ABSTRACT Web search services are among the most heavily used applications on the World Wide Web. Perhaps because search is used in such a huge variety of tasks and contexts, the user interface must strike a careful balance to meet all user needs. We describe a study that used eye tracking methodolo ..."
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Cited by 107 (4 self)
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ABSTRACT Web search services are among the most heavily used applications on the World Wide Web. Perhaps because search is used in such a huge variety of tasks and contexts, the user interface must strike a careful balance to meet all user needs. We describe a study that used eye tracking methodologies to explore the effects of changes in the presentation of search results. We found that adding information to the contextual snippet significantly improved performance for informational tasks but degraded performance for navigational tasks. We discuss possible reasons for this difference and the design implications for better presentation of search results.
How knowledge workers use the web
- in: Proc. the SIGCHI Conf
"... Abstract We report on a diary study of how and why knowledge workers use the World Wide Web. By examining in detail a complete two-day set of Web activities from each of 24 people, we construct a framework with which to describe the different tasks knowledge workers undertake. By looking at the cha ..."
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Cited by 91 (3 self)
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Abstract We report on a diary study of how and why knowledge workers use the World Wide Web. By examining in detail a complete two-day set of Web activities from each of 24 people, we construct a framework with which to describe the different tasks knowledge workers undertake. By looking at the characteristics of each type of activity, we can see how certain activities are unsuited to particular kinds of technologies (e.g., mobile devices); how Web tools might be incrementally improved; and how we might better support knowledge workers' Web tasks in the future.
The Bloodhound Project: Automating Discovery of Web Usability Issues Using . . .
- CHI 2003, ACM CONFERENCE ON HUMAN FACTORS IN COMPUTING SYSTEMS, CHI LETTERS
, 2003
"... According to usability experts, the top user issue for Web sites is difficult navigation. We have been developing automated usability tools for several years, and here we describe a prototype service called InfoScent^TM Bloodhound Simulator, a push-button navigation analysis system, which automatica ..."
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Cited by 70 (0 self)
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According to usability experts, the top user issue for Web sites is difficult navigation. We have been developing automated usability tools for several years, and here we describe a prototype service called InfoScent^TM Bloodhound Simulator, a push-button navigation analysis system, which automatically analyzes the information cues on a Web site to produce a usability report. We further build upon previous algorithms to create a method called Information Scent Absorption Rate, which measures the navigability of a site by computing the probability of users reaching the desired destinations on the site. Lastly, we present a user study involving 244 subjects over 1385 user sessions that show how Bloodhound correlates with real users surfing for information on four Web sites. The hope is that, by using a simulation of user surfing behavior, we can reduce the need for human labor during usability testing, thus dramatically lower testing costs, and ultimately improving user experience. The Bloodhound Project is unique in that we apply a concrete HCI theory directly to a real-world problem. The lack of empirically validated HCI theoretical model has plagued the development of our field, and this is a step toward that direction.
A principal component analysis of 39 scientific impact measures. PloS One. Available: http://www.plosone.org/article/info:doi%2F10.1371%2Fjo urnal.pone.0006022
, 2009
"... The impact of scientific publications has traditionally been expressed in terms of citation counts. However, scientific activity has moved online over the past decade. To better capture scientific impact in the digital era, a variety of new impact measures has been proposed on the basis of social ne ..."
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Cited by 58 (0 self)
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The impact of scientific publications has traditionally been expressed in terms of citation counts. However, scientific activity has moved online over the past decade. To better capture scientific impact in the digital era, a variety of new impact measures has been proposed on the basis of social network analysis and usage log data. Here we investigate how these new measures relate to each other, and how accurately and completely they express scientific impact. We performed a principal component analysis of the rankings produced by 39 existing and proposed measures of scholarly impact that were calculated on the basis of both citation and usage log data. Our results indicate that the notion of scientific impact is a multi-dimensional construct that can not be adequately measured by any single indicator, although some measures are more suitable than others. The commonly used citation Impact Factor is not positioned at the core of this construct, but at its periphery, and should thus be used with caution. 1
Cognitive walkthrough for the web
, 2002
"... This paper proposes a transformation of the Cognitive Walkthrough (CW), a theory-based usability inspection method that has proven useful in designing applications that support use by exploration. The new Cognitive Walkthrough for the Web (CWW) is superior for evaluating how well websites support us ..."
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Cited by 58 (6 self)
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This paper proposes a transformation of the Cognitive Walkthrough (CW), a theory-based usability inspection method that has proven useful in designing applications that support use by exploration. The new Cognitive Walkthrough for the Web (CWW) is superior for evaluating how well websites support users ’ navigation and information search tasks. The CWW uses Latent Semantic Analysis to objectively estimate the degree of semantic similarity (information scent) between representative user goal statements (100-200 words) and heading/link texts on each web page. Using an actual website, the paper shows how the CWW identifies three types of problems in web page designs. Three experiments test CWW predictions of users’ success rates in accomplishing goals, verifying the value of CWW for identifying these usability problems.
Automatic browsing of large pictures on mobile devices
- ACM Multimedia
"... Pictures have become increasingly common and popular in mobile communications. However, due to the limitation of mobile devices, there is a need to develop new technologies to facilitate the browsing of large pictures on the small screen. In this paper, we propose a novel approach which is able to a ..."
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Cited by 57 (7 self)
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Pictures have become increasingly common and popular in mobile communications. However, due to the limitation of mobile devices, there is a need to develop new technologies to facilitate the browsing of large pictures on the small screen. In this paper, we propose a novel approach which is able to automate the scrolling and navigation of a large picture with a minimal amount of user interaction on mobile devices. An image attention model is employed to illustrate the information structure within an image. An optimal image browsing path is then calculated based on the image attention model to simulate the human browsing behaviors. Experimental evaluations of the proposed mechanism indicate that our approach is an effective way for viewing large images on small displays.
VisGets: Coordinated visualizations for web-based information exploration and discovery
- IEEE Trans. on Visualization and Computer Graphics
"... Abstract—In common Web-based search interfaces, it can be difficult to formulate queries that simultaneously combine temporal, spatial, and topical data filters. We investigate how coordinated visualizations can enhance search and exploration of information on the World Wide Web by easing the formul ..."
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Cited by 56 (17 self)
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Abstract—In common Web-based search interfaces, it can be difficult to formulate queries that simultaneously combine temporal, spatial, and topical data filters. We investigate how coordinated visualizations can enhance search and exploration of information on the World Wide Web by easing the formulation of these types of queries. Drawing from visual information seeking and exploratory search, we introduce VisGets – interactive query visualizations of Web-based information that operate with online information within a Web browser. VisGets provide the information seeker with visual overviews of Web resources and offer a way to visually filter the data. Our goal is to facilitate the construction of dynamic search queries that combine filters from more than one data dimension. We present a prototype information exploration system featuring three linked VisGets (temporal, spatial, and topical), and used it to visually explore news items from online RSS feeds. Index Terms—Information visualization, World Wide Web, information retrieval, exploratory search, visual information seeking. 1
Investigating the querying and browsing behavior of advanced search engine users
- In Proceedings of the 30th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval
, 2007
"... One way to help all users of commercial Web search engines be more successful in their searches is to better understand what those users with greater search expertise are doing, and use this knowledge to benefit everyone. In this paper we study the interaction logs of advanced search engine users (a ..."
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Cited by 44 (9 self)
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One way to help all users of commercial Web search engines be more successful in their searches is to better understand what those users with greater search expertise are doing, and use this knowledge to benefit everyone. In this paper we study the interaction logs of advanced search engine users (and those not so advanced) to better understand how these user groups search. The results show that there are marked differences in the queries, result clicks, post-query browsing, and search success of users we classify as advanced (based on their use of query operators), relative to those classified as non-advanced. Our findings have implications for how advanced users should be supported during their searches, and how their interactions could be used to help searchers of all experience levels find more relevant information and learn improved searching strategies. Categories and Subject Descriptors H.3.3 [Information Search and Retrieval]: query formulation, search process, relevance feedback.