%Original file available from http://www.cs.odu.edu/~jbollen/bibliographies/bibtex/HCI_WWW.bib %Last update: Thursday 10 March 2005 %Current number of entries: 17 @inproceedings{separa:heer2002, author = {Jeffrey Heer and Ed H. Chi}, title = {Separating the swarm: categorization methods for user sessions on the web}, booktitle = {Proceedings of the SIGCHI conference on Human factors in computing systems}, year = {2002}, isbn = {1-58113-453-3}, pages = {243--250}, location = {Minneapolis, Minnesota, USA}, doi = {http://80-doi.acm.org.proxy.lib.odu.edu/10.1145/503376.503420}, publisher = {ACM Press}, } @ARTICLE{findin:gordon1998, author = {Michael Gordon and Praveen Pathak}, year = 1998, title = {Finding Information on the World Wide Web: The Retrieval Effectiveness of Search Engines}, journal = {Information Processing and Management}, volume = 35, pages = {141-180}, abstract = {The authors have tested the retrieval "recall" and "precision" of 8 major search engines. They conducted an experiment that was setup to involve two groups of people: group A that generated a set of user information needs as specified in a query that allowed user to indicate their interests in terms of a description, keywords, boolean query and list of synonyms. Group B then conducted the actual searches with this information on all 8 search engines (Altavista. Lycos, Excite, Hotbot, Yahoo, etc). Group B was told to find the query that produced the best search results for each search engine, using its specific search features, expanding the set of keywords, using information from other search engine's results to produce better queries etc. The final results were a list of 200 results for each search engine. Group A was then required to evaluate the relevancy of the randomized list of the top 20 results for each engine. Precision and recall values were calculated based on these assesments Major results: small statistical differences among search engines, Altavista, Lycos and Open Text scored better than all others. Yahoo was worst in terms of precision and recall. Small overlap between search engine's results, number of relevant document ranged around 1/10, no individual differences indicating the quality of the query and engine specific query capabilities are of small influence, the authors suggest the application of meta-search engines.} } @INPROCEEDINGS{worldw:schoon1997, author = {P.L. Schoon}, month = {October}, year = 1997, title = {World Wide Web Hypertext Linkage Patterns}, booktitle = {Proceedings of the {I}nternational {M}eeting of the {W}orld {C}onference of the {WWW}, {I}nternet and {I}ntranet}, address = {Toronto, Canada} } @INPROCEEDINGS{revisi:tauscher1997, author = {Linda Tauscher and Saul Greenberg}, month = {March}, year = 1997, title = {Revisitation Patterns in World Wide Web Navigation}, booktitle = {Proceedings of CHI97}, publisher = {{ACM}}, address = {Atlanta, USA}, pages = {399--406}, } @ARTICLE{discov:nakayama2000, title = {Discovering the gap between Web site designers' expectations and users' behavior}, author = {Takehiro Nakayama and Hiroki Kato and Yohei Yamane}, year = 2000, journal = {Computer Networks}, volume = 33, issue = {1--6}, pages = {811--822}, } @inproceedings{503420, author = {Jeffrey Heer and Ed H. Chi}, title = {Separating the swarm: categorization methods for user sessions on the web}, booktitle = {Proceedings of the SIGCHI conference on Human factors in computing systems}, year = {2002}, isbn = {1-58113-453-3}, pages = {243--250}, location = {Minneapolis, Minnesota, USA}, doi = {http://doi.acm.org/10.1145/503376.503420}, publisher = {ACM Press}, } @INPROCEEDINGS{webpag:larson1998, author = {Kevin Larson and Mary Czerwinski}, title = {Web Page Design: Implications for Memory, Structure and Scent for Information Retrieval}, year = 1998, booktitle = {Conference {P}roceedings on {H}uman {F}actors in {C}omputing {S}ystems '98}, pages = {25--32}, month = {April 18-23}, publisher = {ACM}, address = {Los Angeles}, abstract = {Authors provide a great overview of the present research on breadth/depth optimization of hierarchical menus. Discuss an experiment they conducted with a part of the Encarta Encyclopedia with three different organization structures: 8x8x8, 16x32 and 32x16. Human subjects performed searches in these structures. Data was collected on "lostness", reaction times and subjective ratings. Lostness as defined by Smith 1986 (Towards a practical measure of hypertext usability. Interacting with Computers, 8, 4, 365-381. Findings: 8x8x8 maximal lostness, 16x32 performed best. Breadth is better than depth.} } @ARTICLE{strong:huberman1997, author = {Bernardo A. Huberman and Peter L. T. Pirolli and James E. Pitkow and Rajan M. Lukose}, month = {April 3}, year = 1998, title = {Strong Regularities in World Wide Web Surfing}, journal = {Science}, volume = 280, number = 5360, pages = {95-97} } @INPROCEEDINGS{comput:pirolli1997, author = {Peter Pirolli}, month = {March}, year = 1997, title = {Computational models of information scent-following in a very large browsable text collection}, booktitle = {Proceedings of {CHI}97}, publisher = {ACM}, address = {Atlanta, USA}, pages = {3--10}, } @ARTICLE{usabi:bachiochi1997, title = {Usability studies and designing navigational aids for the World Wide Web}, journal = {Computer Networks and ISDN Systems}, volume = 29, nunber = {8--13}, year = 1997, pages = {1489--1496}, author = {D. Bachiochi and M. Berstene and E. Chouinard and N. Conlan and M. Danchak and T. Furey and C. Neligon and D. Way}, } @ARTICLE{predic:recker1996, author = {Margaret M. Recker and James E. Pitkow}, title = {Predicting Document Access in Large Multimedia Repositories}, year = 1996, journal = {ACM Transaction on Computer-Human Interaction}, volume = 3, number = 4, pages = {352--375}, } @ARTICLE{charac:catledge1995, author = {Lara D. Catledge and James E. Pitkow}, year = 1995, title = {Characterizing Browsing Strategies in the World Wide Web}, journal = {Computer Networks and ISDN Systems}, volume = 27, pages = {1065--1073} } @INPROCEEDINGS{explor:pirolli1998, author = {Peter Pirolli}, title = {Exploring Browser Design Trade-offs Using a Dynamical Model of Optimal Information Foraging}, year = 1998, booktitle = {Conference {P}roceedings on {H}uman {F}actors in {C}omputing {S}ystems '98}, pages = {33--40}, month = {April 18-23}, publisher = {ACM}, address = {Los Angeles}, abstract = {This paper present a state-space approach to modeling user-machine interaction. By applying costs (time) and values (number of documents retrieved) to specific transitions and positions in a walk through an example state-space, the authors present the results from a test of this technique with a browser developed by the author. The state-space approach models the selections a user can make and applying costs and benefits to every point in his path. By recursively analyzing the state-space of possible paths, the authors propose user-interfaces and the web can be modeled and improved.} } @INPROCEEDINGS{compre:kitajima2000, author = {Muneo Kitajima and M. H. Blackmon and P. G. Polson}, title = {A Comprehension-based Model of Web Navigation and Its Application to Web Usability Analysis}, year = 2000, editor = {S. McDonald and Y. Waern and G. Cockton}, booktitle = {Proceedings of {HCI} 2000: {P}eople and {C}omputers {XIV} - {U}sability or {E}lse!}, publisher = {Springer}, pages = {357 -- 373}, address = {Sunderland, {UK}}, } @INPROCEEDINGS{scentw:chi2000, author = {H. Chi and Peter Pirolli and James Pitkow}, title = {The scent of a site: a system for analyzing and predicting information scent, usage, and usability of a Web site}, year = 2000, pages = {161 -- 168}, booktitle = {Proceedings of the {CHI} 2000 conference on {H}uman {F}actors in {C}omputing {S}ystems}, month = {April}, abstract = {Designers and researchers of users' interactions with the World Wide Web need tools that permit the rapid exploration of hypotheses about complex interactions of user goals, user behaviors, and Web site designs. We present an architecture and system for the analysis and prediction of user behavior and Web site usability. The system integrates research on human information foraging theory, a reference model of information visualization and Web data-mining techniques. The system also incorporates new methods of Web site visualization (Dome Tree, Usage Based Layouts), a new predictive modeling technique for Web site use (Web User Flow by Information Scent, WUFIS), and new Web usability metrics.}, address = {{T}he {H}ague, {N}etherlands}, } @INPROCEEDINGS{usingi:chi2001, title = {Using information scent to model user information needs and actions and the Web}, author = {H. Chi and Peter Pirolli and Kim Chen and James Pitkow}, year = 2001, booktitle = {{C}onference on {H}uman {F}actors and {C}omputing {S}ystems}, month = {April}, pages = {490 -- 497}, address = {Seattle, WA}, abstract = {On the Web, users typically forage for information by navigating from page to page along Web links. Their surfing patterns or actions are guided by their information needs. Researchers need tools to explore the complex interactions between user needs, user actions, and the structures and contents of the Web. In this paper, we describe two computational methods for understanding the relationship between user needs and user actions. First, for a particular pattern of surfing, we seek to infer the associated information need. Second, given an information need, and some pages as starting pints, we attempt to predict the expected surfing patterns. The algorithms use a concept called "information scent", which is the subjective sense of value and cost of accessing a page based on perceptual cues. We present an empirical evaluation of these two algorithms, and show their effectiveness.}, } @article{browsi:roscheisen1995, author = {M. Roscheisen and C. Mogensen and T. Winograd}, title = {Beyond Browsing: shared comments; soaps, triails and online communities}, journal = {Computer Networks and {ISDN} systems}, volume = {27}, number = {6}, pages = {739--749}, month = {April}, year = {1995}, keywords = {VIRTUAL DOCUMENTS ; META INFORMATION ; WORLDWIDE WEB ; GROUP ANNOTATIONS ; SOAPS ; COLLABORATIVE FILTERING ; SHARED WORKSPACES ; CSCW ; WORKGROUPS}, } @ARTICLE{mental:thatcher1998, title = {Mental Models of the Internet}, author = {Andrew Thatcher and Mike Greyling}, year = 1998, journal = {International Journal of Industrial Ergonomics}, volume = {22}, pages = {299 -- 305}, abstract = {As the amount of knowledge and the number of users connected to the Internet rapidly expands so the need to understand how users conceptualize this giant network becomes more important. Through the medium of sophisticated software interfaces users must navigate through cyberspace and access relevant information. Access to the user's mental model of the Internet will enable designers and information technologists to better understand and structure the knowledge deposits of the future. This study explores the use of drawings to access users' mental models of the Internet from a group of South African's with varying experience with the Internet and computers. Mental models from 51 University respondents were categorized by three independent raters. The mental models were arranged into six categories. Analyses on these categories suggest that the mental model categories may be hierarchically ordered according to respondents' experience with the Internet. These results are discussed in terms of the organization of knowledge on the Internet and in terms of designing Internet interfaces.} }