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User Behavior (user + behavior)
Selected AbstractsUser Behavior and the "Globalness" of Internet: From a Taiwan Users' PerspectiveJOURNAL OF COMPUTER-MEDIATED COMMUNICATION, Issue 2 2002Chun Chou Liu It is believed that the cyberworld knows no borders and boundaries. Users from all corners of the world are connected. However, the literature stops short of telling us how meaningful and valuable its "borderless" nature actually is to the Internet users themselves. Have they taken full advantage of whatever freedom is available to them in roaming the cyberworld? Do they venture beyond their language and/or cultural group to interact with those whoM they normally would have little opportunity to meet otherwise? To what extent do they take advantage of the opportunity to venture beyond the limits of their "real" worlds? Taiwan houses one of the most vigorous information industries in the world. This paper looks at the general patterns of Internet use in Taiwan, including online activities for communication, information access, and e-commerce. Secondly, a special effort is made to examine the "globalness" of Taiwan users' Internet behavior, and the factors contributing to these patterns of use. In Taiwan, the Internet as a medium may indeed be "global," yet the user continues to live within the "local," the "place" one relates to, where his/her needs and desires are generated, and where one feels a sense of belonging. One may briefly venture out of this locality to accomplish a task, fulfill a goal, or simply satisfy his/her curiosity; however, as pointed out by Wang and Servaes (2000), the importance, significance, and relevance of the global are not as great as that of the local. [source] Subsessions: A granular approach to click path analysisINTERNATIONAL JOURNAL OF INTELLIGENT SYSTEMS, Issue 7 2004Ernestina Menasalvas The fiercely competitive web-based electronic commerce (e-commerce) environment has made necessary the application of intelligent methods to gather and analyze information collected from consumer web sessions. Knowledge about user behavior and session goals can be discovered from the information gathered about user activities, as tracked by web clicks. Most current approaches to customer behavior analysis study the user session by examining each web page access. However, the abstraction of subsessions provides a more granular view of user activity. Here, we propose a method of increasing the granularity of the user session analysis by isolating useful subsessions within sessions. Each subsession represents a high-level user activity such as performing a purchase or searching for a particular type of information. Given a set of previously identified subsessions, we can determine at which point the user begins a preidentified subsession by tracking user clicks. With this information we can (1) optimize the user experience by precaching pages or (2) provide an adaptive user experience by presenting pages according to our estimation of the user's ultimate goal. To identify subsessions, we present an algorithm to compute frequent click paths from which subsessions then can be isolated. The algorithm functions by scanning all user sessions and extracting all frequent subpaths by using a distance function to determining subpath similarity. Each frequent subpath represents a subsession. An analysis of the pages represented by the subsession provides additional information about semantically related activities commonly performed by users. © 2004 Wiley Periodicals, Inc. [source] Stochastic modeling of usage patterns in a web-based information systemJOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE AND TECHNOLOGY, Issue 7 2002Hui-Min Chen Users move from one state (or task) to another in an information system's labyrinth as they try to accomplish their work, and the amount of time they spend in each state varies. This article uses continuous-time stochastic models, mainly based on semi-Markov chains, to derive user state transition patterns (both in rates and in probabilities) in a Web-based information system. The methodology was demonstrated with 126,925 search sessions drawn from the transaction logs of the University of California's MELVYL® library catalog system (www.melvyl.ucop.edu). First, user sessions were categorized into six groups based on their similar use of the system. Second, by using a three-layer hierarchical taxonomy of the system Web pages, user sessions in each usage group were transformed into a sequence of states. All the usage groups but one have third-order sequential dependency in state transitions. The sole exception has fourth-order sequential dependency. The transition rates as well as transition probabilities of the semi-Markov model provide a background for interpreting user behavior probabilistically, at various levels of detail. Finally, the differences in derived usage patterns between usage groups were tested statistically. The test results showed that different groups have distinct patterns of system use. Knowledge of the extent of sequential dependency is beneficial because it allows one to predict a user's next move in a search space based on the past moves that have been made. It can also be used to help customize the design of the user interface to the system to facilitate interaction. The group CL6 labeled "knowledgeable and sophisticated usage" and the group CL7 labeled "unsophisticated usage" both had third-order sequential dependency and had the same most-frequently occurring search pattern: screen display, record display, screen display, and record display. The group CL8 called "highly interactive use with good search results" had fourth-order sequential dependency, and its most frequently occurring pattern was the same as CL6 and CL7 with one more screen display action added. The group CL13, called "known-item searching" had third-order sequential dependency, and its most frequently occurring pattern was index access, search with retrievals, screen display, and record display. Group CL14 called "help intensive searching," and CL18 called "relatively unsuccessful" both had third-order sequential dependency, and for both groups the most frequently occurring pattern was index access, search without retrievals, index access, and again, search without retrievals. [source] The effect of extrinsic motivation on user behavior in a collaborative information finding systemJOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE AND TECHNOLOGY, Issue 11 2001Bracha Shapira In collaborative information finding systems, evaluations provided by users assist other users with similar needs. This article examines the problem of getting users to provide evaluations, thus overcoming the so-called "free-riding" behavior of users. Free riders are those who use the information provided by others without contributing evaluations of their own. This article reports on an experiment conducted using the "AntWorld," system, a collaborative information finding system for the Internet, to explore the effect of added motivation on users' behavior. The findings suggest that for the system to be effective, users must be motivated either by the environment, or by incentives within the system. The findings suggest that relatively inexpensive extrinsic motivators can produce modest but significant increases in cooperative behavior. [source] Multitasking Web searching and implications for designPROCEEDINGS OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE & TECHNOLOGY (ELECTRONIC), Issue 1 2003Seda Ozmutlu This paper presents findings from a study of users multitasking searches on Web search engines. A user's single session with a Web search engine may consist of seeking information on single or multiple topics. Limited research has focused on multitasking search and the implications for Web design. Incidence of multitasking search by AlltheWeb.com and Excite Web search engine users were filtered from transaction logs. Findings include: (1) multitasking Web searches are a noticeable user behavior, one tenth of Excite users and one third of AlltheWeb.com users conducted multitasking searches, (2) multitasking search sessions are longer than regular search sessions in terms of queries per session and duration, (3) both Excite and AlltheWeb.com users search for about three topics per multitasking session and submit about 4,5 queries per topic, and (4) there is a broad variety of search topics in multitasking search sessions. The implications of our findings for Web design and further research are discussed. [source] Finding Commercially Attractive User Innovations: A Test of Lead-User Theory,THE JOURNAL OF PRODUCT INNOVATION MANAGEMENT, Issue 4 2006Nikolaus Franke Firms and governments are increasingly interested in learning to exploit the value of lead-user innovations for commercial advantage. Improvements to lead-user theory are needed to inform and to guide these efforts. The present study empirically tests and confirms the basic tenets of lead-user theory. It also uncovers some new refinements and related practical applications. Using a sample of users and user,innovators drawn from the extreme sport of kite surfing, an analysis was made of the relationship between the commercial attractiveness of innovations developed by users and the intensity of the lead-user characteristics those users display. A first empirical analysis is provided of the independent effects of its two key component variables. In the empirical study of user modifications to kite-surfing equipment, it was found that both components independently contribute to identifying commercially attractive user innovations. Component 1, the high expected-benefits dimension, predicts innovation likelihood, and component 2, the ahead of the trend dimension, predicts both the commercial attractiveness of a given set of user-developed innovations and innovation likelihood due to a newly proposed innovation supply side effect. It was concluded that the component variables in the lead-user definition are indeed independent dimensions, so neither can be dropped without loss of information,an important matter for lead-user theory. It also was found that adding measures of users' local resources can improve the ability of the lead-user construct to identify commercially attractive innovations under some conditions. The findings reported here have practical as well as theoretical import. Product modification and development has been found to be a relatively common user behavior in many fields. Thus, from 10 to nearly 40 percent of users report having modified or developed a product for in-house use in the case of industrial products or for personal use in the case of consumer products in fields sampled to date. As a practical matter, therefore, it is important to find ways to selectively identify the user innovations that manufacturers will find to be the basis for commercially attractive products in the collectivity of user-developed innovations. The implications of these findings for theory as well as for practical applications of the lead-user construct are discussed,that is, how variables used in lead-user studies can profitably be adapted to fit specific study contexts and purposes. [source] Rational Analyses of Information Foraging on the WebCOGNITIVE SCIENCE - A MULTIDISCIPLINARY JOURNAL, Issue 3 2005Peter Pirolli Abstract This article describes rational analyses and cognitive models of Web users developed within information foraging theory. This is done by following the rational analysis methodology of (a) characterizing the problems posed by the environment, (b) developing rational analyses of behavioral solutions to those problems, and (c) developing cognitive models that approach the realization of those solutions. Navigation choice is modeled as a random utility model that uses spreading activation mechanisms that link proximal cues (information scent) that occur in Web browsers to internal user goals. Web-site leaving is modeled as an ongoing assessment by the Web user of the expected benefits of continuing at a Web site as opposed to going elsewhere. These cost,benefit assessments are also based on spreading activation models of information scent. Evaluations include a computational model of Web user behavior called Scent-Based Navigation and Information Foraging in the ACT Architecture, and the Law of Surfing, which characterizes the empirical distribution of the length of paths of visitors at a Web site. [source] Interactive knowledge management for agent-assisted web navigationINTERNATIONAL JOURNAL OF INTELLIGENT SYSTEMS, Issue 10 2007Vincenzo Loia Web information may currently be acquired by activating search engines. However, our daily experience is not only that web pages are often either redundant or missing but also that there is a mismatch between information needs and the web's responses. If we wish to satisfy more complex requests, we need to extract part of the information and transform it into new interactive knowledge. This transformation may either be performed by hand or automatically. In this article we describe an experimental agent-based framework skilled to help the user both in managing achieved information and in personalizing web searching activity. The first process is supported by a query-formulation facility and by a friendly structured representation of the searching results. On the other hand, the system provides a proactive support to the searching on the web by suggesting pages, which are selected according to the user's behavior shown in his navigation activity. A basic role is played by an extension of a classical fuzzy-clustering algorithm that provides a prototype-based representation of the knowledge extracted from the web. These prototypes lead both the proactive suggestion of new pages, mined through web spidering, and the structured representation of the searching results. © 2007 Wiley Periodicals, Inc. Int J Int Syst 22: 1101,1122, 2007. [source] The effect of extrinsic motivation on user behavior in a collaborative information finding systemJOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE AND TECHNOLOGY, Issue 11 2001Bracha Shapira In collaborative information finding systems, evaluations provided by users assist other users with similar needs. This article examines the problem of getting users to provide evaluations, thus overcoming the so-called "free-riding" behavior of users. Free riders are those who use the information provided by others without contributing evaluations of their own. This article reports on an experiment conducted using the "AntWorld," system, a collaborative information finding system for the Internet, to explore the effect of added motivation on users' behavior. The findings suggest that for the system to be effective, users must be motivated either by the environment, or by incentives within the system. The findings suggest that relatively inexpensive extrinsic motivators can produce modest but significant increases in cooperative behavior. [source] | |||||||||||||