%% Theses %% @InCollection{Qu:SemMem, Author="M. Ross Quillian", BookTitle="Semantic Information Processing", Title="{Semantic Memory}", Pages="216 -- 270", Editor="Marvin Minsky", Publisher=MITp, Year=1968, Keyword="\K{Classic}" } @MastersThesis{La:Toyanne, Title="Concurrency Control in Hypertext Databases", Author="Toyanne M. Lauriston", School="University of Western Ontario", Address="London, Ontario, Canada", Year=1990, CallNo="AS42.L8 L3669", ISBN="0771411235", Keyword="\K{General} $\bullet$ \K{Definition}", Annote="Has a good introduction to HT", } @MastersThesis{Ta:SW ,Title="A scholar's workstation" ,Author="Kathleen F. Taylor" ,School="University of Western Ontario" ,Address="London, Ontario, Canada" ,Year=1989 ,CallNo="AS42.L8 T24333 1989" } @MastersThesis{Ga:SHAW ,Title="Support of Hypertextual Annotation on the {Web}" ,Author="Huan Gao" ,School="Dalhousie University" ,Address="Halifax, {NS}, Canada" ,Year=2004 ,Month=jan ,Note="Published as a technical report at \url{https://www.cs.dal.ca/research/techreports/cs-2004-20/}" ,Annote="Relied on MVD (Multivalent Document Model) \cite{Ph:MvA}" ,Keyword="\K{System!Multivalent Document} $\bullet$ \K{interface} $\bullet$ \K{annotation} $\bullet$ \K{System!WWW}" } @MastersThesis{Bl:MSc, Title="An Evaluation of Tools for Converting Text to Hypertext", Author="William James Blustein", School="University of Western Ontario", Address="London, Ontario, Canada", Year=1994, SeeAlso="LSI\cite{Ba:LSIis}, Jones and Furnas \cite{Jo:GeoSim}, TOPIC\cite{Ha:AutoGen}, VISAR\cite{Cl:VISAR}, Bernstein's apprentice\cite{Be:App}", Annote="Converted Usenet messages into hypertext using structural and semantic rules, and evaluated quality of semantically built links. Those links were evaluated by comparing the minimal number of links between their coresponding nodes in an analagous hypertext graph with a measure of semantic similarity derived from latent semantic indexing." } @PhDThesis{Bl:PhD, Title="Hypertext Versions of Journal Articles: Computer-aided Linking and Realistic Human-based Evaluation", Author="William James Blustein", School="University of Western Ontario", Address="London, Ontario, Canada", Year=1999, SeeAlso="\begin{itemize} \item Piolat et al.~\cite{Pi:ESPTRV} for interface design \item C.C.Marshall's \emph{Reading and Writing the Electronic Book} \cite[\S7.1.2 (pp.\,152--157)]{Ma:RWeB} especially pp.\,152--153 for other studies of how people read folling annotation \end{itemize}" } @MastersThesis{Fa:ForestLinks, Author="Eanass Fahmy", Title="Programmatically Generating Connections in Document Forests", School="Queen's University", Address="Kingston, Ontario, Canada", Year=1988, Note="Department of Computing and Information Science" } @PhDThesis{Qi:Qiu, Author="Liwen Qiu", Title="Probabilistic Models of Search State and Path Patterns in Hypertext Information Retrieval Systems", Year=1991, School="University of Western Ontario", Address="London, Ontario, Canada", CallNo="AS42.C423 no.632 1991", ISBN="0315662859" } @PhDThesis{Gr:SGreen.PhD, Author="Stephen J. Green", Title="Automatically generating hypertext by computing semantic similarity", Year=1997, School="University of Toronto", Address="Toronto, Ontario, Canada", Keyword="\K{System!WordNet} $\bullet$ \K{lexical chaining} $\bullet$ \K{AutoGen}" } @Book{Ol:JOPhD, Author="Jan Olsen", Title="Electronic Journal Literature: Implications for Scholars", Publisher="Mecklermedia", Year=1994, ISBN="0-88736-925-1" } @PhDThesis{Ba:LisaBaron, Author="Lisa Baron", Title="The Effectiveness of Labelled, Typed Links as Cues in Hypertext Systems", Year=1994, School="University of Western Ontario", Address="London, Ontario, Canada", CallNo="AS42.L83B2656 1994", ISBN="0315905689 (microfilm)" } @PhDThesis{To:ETomsPhD, Author="Elaine G. Toms", Title="Browsing digital information: examining the 'affordances' in the interaction of user and text", Year=1997, School="University of Western Ontario", Address="London, Ontario, Canada", SeeAlso="IJHCS 2K article~\cite{To:UFBET}" } @PhDThesis{Li, Author="Zhuoxon Li", Title="Information Retrieval for Automatic Link Creation in Hypertext Systems", Year=1993, School="Southampton University", Keyword="\K{System!Microcosm} $\bullet$ \K{phrase} $\bullet$ \K{link types!taxonomy of}" } @PhDThesis{Al:JAllan, Author="James Allan", Title="Automatic Hypertext Construction", School="Cornell University", Year=1995 } @PhDThesis{Le:RCSMMHL ,Author="Paul M. Leidigh" ,Title="The relationship between cognitive styles and mental maps in hypertext assisted learning" ,Year=1992 ,School="Virginia Commonwealth University" } @PhDThesis{Be:MLBernard, Author="Michael Lewis Bernard", Title=" Examining a Metric for Predicting the Accessibility of Information within Hypertext Structures", School="Wichita State University", Year=2002, URL="http://psychology.wichita.edu/mbernard/abstract.htm", Annote="\begin{itemize} \item symmetrical hierarchies (no cycles). \item design based on menu studies. \item measure based on Shannon's information. \end{itemize}", SeeAlso="\begin{itemize} \item Botafogo's measures~\cite{Bo:HTMetrics}, \item Jean's book~\cite{Jean'sBook}, \item Browsing chapter in ARIST 1993~\cite{Ch:Browsing} \item Evaluation of information-seeking performance in hypermedia digital libraries by Salampasis et al.~\cite{Sa:EISPHM} \end{itemize}", Keyword="\K{menus}" } @MastersThesis{ATZ:IDSHCI ,Title="Improving intrusion detection systems through an {HCI} approach" ,Author="Andrew Ting Zhou" ,Year=2005 ,School="Dalhousie University Faculty of Computer Science" ,SeeAlso="Kuo et al.'s `Designing an evaluation method for security user interface' in interactions 13(3):28--31 \cite{Ku:DEMSUI}" } @MastersThesis{HuiTeng:LAB ,Title="Location Breadcrumbs for Navigation: An Exploratory Study" ,Author="Hui Teng" ,Year=2004 ,School="Dalhousie University Faculty of Computer Science" } @PhDthesis{Ju:DCMNW ,Author= "Ion Juvina" ,Title= "Development of a Cognitive Model for Navigating on the Web" ,School="Utrecht University" ,year=2006 ,URL= "http://igitur-archive.library.uu.nl/dissertations/2006-1025-201007/index.htm" ,Annote="Abstract: \begin{quotation} The objective of this thesis is to build a cognitive model of human performance in Web-assisted tasks. The research is driven by the following questions: What are the most important factors in determining success in Web-assisted tasks? What cognitive mechanisms are involved in these factors? What kind of Web navigation support can be conceived based on the knowledge gained from the previous questions? \\\hspace*{\parindent} The approach is based on the simultaneous consideration of theory, method and real-world applicability. Web navigation is grounded in theories of Cognitive Science (Text Comprehension in particular), and Information Science (Human-Computer Interaction in particular). Experimentation, statistical analysis and modeling are conducted. Practical needs of Web engineering are taken into consideration. \\\hspace*{\parindent} This research investigates how real Web applications are used. A sequence of repeated studies shows that a combination of two factors is the most important determinant of human performance in Web-assisted tasks: a structure-related factor (spatial ability) and a content-related factor (domain expertise). Spatial cognition is involved in representing the structure of the information space, while domain knowledge is necessary for understanding and selecting relevant content. \\\hspace*{\parindent} Factors, such as spatial ability and domain expertise, can only be measured with specialized tests, which cannot be implemented in realistic Web applications. For this reason, Web-logging data is used to calculate metrics of Web navigation behavior. Metrics referring to the structure of user navigation are called syntactic, whereas metrics referring to the visited content are called \emph{semantic}. It is demonstrated that \emph{syntactic} (structural) metrics indicate users' navigation styles, for example, if they prefer to revisit pages rather than viewing new pages, or if they return to previously viewed pages using the back button or just by following links. Semantic metrics indicate if users are effective in pursuing their goals independent of their navigation styles. These navigation metrics can be used in building user-models for adaptive Web applications such as recommender systems. \\\hspace*{\parindent} A cognitive model of Web navigation (labeled CoLiDeS+) is proposed. Theoretical and empirical arguments are used to motivate the main assumptions of the model which are: (a)~users build and update a mental representation of the information space being navigated; and (b)~they assess relevance and make decisions to select particular contents based on both prior knowledge they have about those contents, and knowledge they gain from the local context of those particular contents (i.e., what contents they link to). CoLiDeS+, an augmented version of CoLiDeS (Kitajima, Blackmon, \& Polson, 2000), uses Latent Semantic Analysis to model assessments of relevance and user navigation history (sequence of selected links) to model contextual information involved in making navigational decisions. This latter feature is the main distinguishing characteristic of CoLiDeS+. The model has been empirically tested for its accuracy in simulating actual user behavior and its utility in generating Web navigation support. It is shown that CoLiDeS+ performs better in modeling user behavior than its previous version (CoLiDeS) and the navigation support generated from its simulations has a positive impact on user behavior and task outcomes. This thesis advances the scientific understanding of human performance in knowledge-intensive tasks and contributes to designing useable and accessible information environments. \end{quotation} Keywords: \begin{quotation} Web navigation, human performance, cognitive modeling, spatial ability, domain expertise, Web useability, Web accessibility, navigation metrics, navigation support, user modeling \end{quotation}" ,SeeAlso="article in IJHCS \cite{vanO:Juvina}" ,Keyword="\K{HCI!CS6606} $\bullet$ \K{Navigation!Lostness} $\bullet$ \K{CogPsych} $\bullet$ \K{spatial ability} $\bullet$ \K{HT!System!WWW} $\bullet$ \K{CoLiDeS}" }