ENHANCING IMAGE FINDABILITY THROUGH A DUAL-PERSPECTIVE NAVIGATION FRAMEWORK

This dissertation focuses on investigating whether users will locate desired images more efficiently and effectively when they are provided with information descriptors from both experts and the general public. This study develops a way to support image finding through a human-computer interface by providing subject headings and social tags about the image collection and preserving the information scent (Pirolli, 2007) during the image search experience. In order to improve search performance most proposed solutions integrating experts’ annotations and social tags focus on how to utilize controlled vocabularies to structure folksonomies which are taxonomies created by multiple users (Peters, 2009). However, these solutions merely map terms from one domain into the other without considering the inherent differences between the two. In addition, many websites reflect the benefits of using both descriptors by applying a multiple interface approach (McGrenere, Baecker, & Booth, 2002), but this type of navigational support only allows users to access one information source at a time. By contrast, this study is to develop an approach to integrate these two features to facilitate finding resources without changing their nature or forcing users to choose one means or the other. Driven by the concept of information scent, the main contribution of this dissertation is to conduct an experiment to explore whether the images can be found more efficiently and effectively when multiple access routes with two information descriptors are provided to users in the dual-perspective navigation framework. This framework has proven to be more effective and efficient than the subject heading-only and tag-only interfaces for exploratory tasks in this study. This finding can assist interface designers who struggle with determining what information is best to help users and facilitate the searching tasks. Although this study explicitly focuses on image search, the result may be applicable to wide variety of other domains. The lack of textual content in image systems makes them particularly hard to locate using traditional search methods. While the role of professionals in describing items in a collection of images, the role of the crowd in assigning social tags augments this professional effort in a cost effective manner

Using Gaze Tracking to Tackle Duplicate Questions on Community Based Question Answering Websites: A Case Study of Ifixit

The number of unanswered questions on Community based Question Answering (CQA) websites has increased significantly due to the rising number of duplicate questions. This is a serious problem, one that could lead to the decline of such beneficial websites. This thesis presents novel avenues that use gaze tracking technology and behavioral testing to tackle this problem. Based on prior studies on web search behaviors, we assumed that adding contextual information (snippets) to proposed related questions displayed on the `Ask a Question\u27 page of the CQA website iFixit would improve the asker experience and reduce their tendency to post a new duplicate question. The first lab experiment where this web page was redesigned and compared to the original one was conducted on 8 participants. Results confirmed that participants were more likely to find an answer to their question on the redesigned page. A second experiment, conducted remotely and on a larger sample of 74 participants, aimed to discover strategic attributes that increase the perceived similarity of question pairs. These attributes were used in the third lab experiment (20 participants) to redesign and assess the snippets from Experiment 1. Results indicated that snippets containing `symptom(s)\u27 and `cause(s)\u27 attributes constitute an incremental improvement over basic snippets: they are perceived as slightly more relevant and require significantly less gaze fixations on the asker\u27s part

Finding cultural heritage images through a Dual-Perspective Navigation Framework

With the increasing volume of digital images, improving techniques for image findability is receiving heightened attention. The cultural heritage sector, with its vast resource of images, has realized the value of social tags and started using tags in parallel with controlled vocabularies to increase the odds of users finding images of interest. The research presented in this paper develops the Dual-Perspective Navigation Framework (DPNF), which integrates controlled vocabularies and social tags to represent the aboutness of an item more comprehensively, in order that the information scent can be maximized to facilitate resource findability. DPNF utilizes the mechanisms of faceted browsing and tag-based navigation to offer a seamless interaction between experts’ subject headings and public tags during image search. In a controlled user study, participants effectively completed more exploratory tasks with the DPNF interface than with the tag-only interface. DPNF is more efficient than both single descriptor interfaces (subject heading-only and tag-only interfaces). Participants spent significantly less time, fewer interface interactions, and less back tracking to complete an exploratory task without an extra workload. In addition, participants were more satisfied with the DPNF interface than with the others. The findings of this study can assist interface designers struggling with what information is most helpful to users and facilitate searching tasks. It also maximizes end users’ chances of finding target images by engaging image information from two sources: the professionals’ description of items in a collection and the crowd's assignment of social tags

Navigation, findability and the usage of cultural heritage on the web: an exploratory study

The present thesis investigates the usage of cultural heritage resources on the web. In recent years cultural heritage objects has been digitalized and made available on the web for the general public to use. The thesis addresses to what extent the digitalized material is used, and how findable it is on the web. On the web resources needs to be findable in order to be visited and used. The study is done at the intersection of several research areas in Library and Information Science; Information Seeking/Human Information Behaviour, Interactive Information Retrieval, and Webometrics. The two thesis research questions focus on different aspects of the study: (1) findability on the web; and (2) the usage and the users. The usage of the cultural heritage is analysed with Savolainen’s Everyday Life Information Seeking (ELIS) framework. The IS&R framework by Ingwersen and Järvelin is the main theoretical foundation, and a conceptual framework is developed so the examined aspects could be related to each other more clearly. An important distinction in the framework is between object and resource. An object is a single document, file or html page, whereas a resource is a collection of objects, e.g. a cultural heritage web site. Three webometric levels are used to both combine and distinguish the data types: usage, content, and structure. The interaction between the system and its users’ information search process was divided into query dependent and query independent aspects. The query dependent aspects contain the information need on the user side and the topic of the content on the system side. The query independent aspects are the structural findability on the system side and the users search skills on the user side. The conceptual framework is summarised in the User-Resource Interaction (URI) model. The research design is a methodological triangulation, in the form of a mixed methods approach in order to obtain measures and indicators of the resources and the usage from different angels. Four methods are used: site structure analysis; log analysis; web survey; and findability analysis. The research design is both sequential and parallel, the site structure analysis preceded the log analysis and the findability analysis, and the web survey was employed independent of the other methods. Three Danish resources are studied: Arkiv for Dansk Litteratur (ADL), a collection of literary texts written by authors; Kunst Index Danmark (KID), an index of the holdings in the Danish art museums; and Guaman Poma Inch Chronicle (Poma), a digitalized manuscript on the UNESCO list of World cultural heritage. The studied log covers all usage during the period October to December 2010. The site structure is analysed so the resources can be described as different levels, based on function and content. The results from the site structure analysis are used both in the log analysis and the findability analysis, as well as a way to describe the resources. In the log analysis navigation strategies and navigation patterns are studied. Navigation through a web search engine is the most common way to reach the resources, but both direct navigation and link navigation are also used in all three resources. Most users arrive in the middle level in ADL and KID, at information on authors and artists. On average cultural heritage objects are viewed in half of the session. In the analysis of the web survey answers two groups of users’ are distinguished, the professional user in a work context and users in a hobby or leisure context. School or study as a context is prominent in Guaman Poma, the Inca Chronicle. Generally are pages about the cultural heritage more frequently visited than the digitized cultural heritage objects. In the findability framework six aspects are identified as central for the findability of an object on the web: attributes of the object, accessibility, internal navigation, internal search, reachability and web prestige. The six aspects are evaluated through seven indicators. All studied objects are findable in the analysis using the findability framework. A findability issue in KID is the use of the secure https protocol instead of http, which leads to the objects in KID having no PageRank value in Google and thereby a lower ranking in comparison to similar objects with a PageRank value. The internal findability is reduced for the objects in top of all three resources, e.g. the first page, due to the focus of the internal search engine on the cultural heritage objects. Several possible adjustment or developments of the findability frameworks is discussed, such as changing the weightning between the aspects measured, alternative scores and automated measuring. In conclusion, the investigation adds to our knowledge about how resources with digitalized cultural heritage are accessed and used, as well as how findable they are. The thesis provides both theoretical and conceptual contributions to research. The IS&R framework has been adapted to the web, the information search process was split into query dependent and query independent aspects, and a whole findability framework has been developed. Both the empirical findings and the theoretical advancements support the development of better access to web resources

Navigation, findability and the usage of cultural heritage on the web:an exploratory study

The present thesis investigates the usage of cultural heritage resources on the web. In recent years cultural heritage objects has been digitalized and made available on the web for the general public to use. The thesis addresses to what extent the digitalized material is used, and how findable it is on the web. On the web resources needs to be findable in order to be visited and used. The study is done at the intersection of several research areas in Library and Information Science; Information Seeking/Human Information Behaviour, Interactive Information Retrieval, and Webometrics. The two thesis research questions focus on different aspects of the study: (1) findability on the web; and (2) the usage and the users. The usage of the cultural heritage is analysed with Savolainen’s Everyday Life Information Seeking (ELIS) framework. The IS&R framework by Ingwersen and Järvelin is the main theoretical foundation, and a conceptual framework is developed so the examined aspects could be related to each other more clearly. An important distinction in the framework is between object and resource. An object is a single document, file or html page, whereas a resource is a collection of objects, e.g. a cultural heritage web site. Three webometric levels are used to both combine and distinguish the data types: usage, content, and structure. The interaction between the system and its users’ information search process was divided into query dependent and query independent aspects. The query dependent aspects contain the information need on the user side and the topic of the content on the system side. The query independent aspects are the structural findability on the system side and the users search skills on the user side. The conceptual framework is summarised in the User-Resource Interaction (URI) model. The research design is a methodological triangulation, in the form of a mixed methods approach in order to obtain measures and indicators of the resources and the usage from different angels. Four methods are used: site structure analysis; log analysis; web survey; and findability analysis. The research design is both sequential and parallel, the site structure analysis preceded the log analysis and the findability analysis, and the web survey was employed independent of the other methods. Three Danish resources are studied: Arkiv for Dansk Litteratur (ADL), a collection of literary texts written by authors; Kunst Index Danmark (KID), an index of the holdings in the Danish art museums; and Guaman Poma Inch Chronicle (Poma), a digitalized manuscript on the UNESCO list of World cultural heritage. The studied log covers all usage during the period October to December 2010. The site structure is analysed so the resources can be described as different levels, based on function and content. The results from the site structure analysis are used both in the log analysis and the findability analysis, as well as a way to describe the resources. In the log analysis navigation strategies and navigation patterns are studied. Navigation through a web search engine is the most common way to reach the resources, but both direct navigation and link navigation are also used in all three resources. Most users arrive in the middle level in ADL and KID, at information on authors and artists. On average cultural heritage objects are viewed in half of the session. In the analysis of the web survey answers two groups of users’ are distinguished, the professional user in a work context and users in a hobby or leisure context. School or study as a context is prominent in Guaman Poma, the Inca Chronicle. Generally are pages about the cultural heritage more frequently visited than the digitized cultural heritage objects. In the findability framework six aspects are identified as central for the findability of an object on the web: attributes of the object, accessibility, internal navigation, internal search, reachability and web prestige. The six aspects are evaluated through seven indicators. All studied objects are findable in the analysis using the findability framework. A findability issue in KID is the use of the secure https protocol instead of http, which leads to the objects in KID having no PageRank value in Google and thereby a lower ranking in comparison to similar objects with a PageRank value. The internal findability is reduced for the objects in top of all three resources, e.g. the first page, due to the focus of the internal search engine on the cultural heritage objects. Several possible adjustment or developments of the findability frameworks is discussed, such as changing the weightning between the aspects measured, alternative scores and automated measuring. In conclusion, the investigation adds to our knowledge about how resources with digitalized cultural heritage are accessed and used, as well as how findable they are. The thesis provides both theoretical and conceptual contributions to research. The IS&R framework has been adapted to the web, the information search process was split into query dependent and query independent aspects, and a whole findability framework has been developed. Both the empirical findings and the theoretical advancements support the development of better access to web resources

Technical Communication in China:Studies on the User Experience of Technical Documentation

Technical communication is the process of conveying complex information to a varied audience, including both technical and non-technical individuals. It aims to make information usable and accessible. The dissertation provides an in-depth examination of technical communication's evolution in China, with a focus on enhancing user experience with technical documentation.The dissertation is organized into seven chapters, beginning with the current state of technical communication in China, followed by three parts covering five research studies on various aspects of technical documentation, including the roles of technical communicators who create technical documentation, the design and evaluation of developer documentation, and the application of emotional design in user manuals. It concludes by summarizing key findings, discussing theoretical and practical implications, and suggesting future research directions.This dissertation aims to answer five research questions. The first focuses on the state of the art of TC in China. The other four questions explore specific angles on TC in a Chinese context. The five research questions are:• RQ1. What is the development of technical communication as a professional discipline in China?• RQ2. What are the learning habits, information journey, and expectations of Chinese developers regarding developer documentation?• RQ3. What are key factors influencing the effectiveness of searching and finding technical documentation?• RQ4. What are effective strategies for evaluating performance and user experience of developer documentation?• RQ5. What is the impact of emotional design on user experience and effectiveness in technical documentation?<br/

Going Beyond Relevance: Role of effort in Information Retrieval

The primary focus of Information Retrieval (IR) systems has been to optimize for Relevance. Existing approaches to rank documents or evaluate IR systems does not account for “user effort”. Currently, judges only determine whether the information provided in a given document would satisfy the underlying information need in a query. The current mechanism of obtaining relevance judgments does not account for time and effort that an end user must put forth to consume its content. While a judge may spend a lot of time assessing a document, an impatient user may not devote the same amount of time and effort to consume its content. This problem is exacerbated on smaller devices like mobile. While on mobile or tablets, with limited interaction, users may not put in too much effort in finding information. This thesis characterizes and incorporates effort in Information Retrieval. Comparison of explicit and implicit relevance judgments across several datasets reveals that certain documents are marked relevant by the judges but are of low utility to an end user. Experiments indicate that document-level effort features can reliably predict the mismatch between dwell time and judging time of documents. Explicit and preference-based judgments were collected to determine which factors associated with effort agreed the most with user satisfaction. The ability to locate relevant information or findability was found to be in highest agreement with preference judgments. Findability judgments were also gathered to study the association of different annotator, query or document related properties with effort judgments. We also investigate how can existing systems be optimized for relevance and effort. Finally, we investigate the role of effort on smaller devices with the help of cost-benefit models

Dataset Search in Biodiversity Research: Do Metadata in Data Repositories Reflect Scholarly Information Needs?

Abstract The increasing amount of publicly available research data provides the opportunity to link and integrate data in order to create and prove novel hypotheses, to repeat experiments or to compare recent data to data collected at a different time or place. However, recent studies have shown that retrieving relevant data for data reuse is a time-consuming task in daily research practice. In this study, we explore what hampers dataset retrieval in biodiversity research, a field that produces a large amount of heterogeneous data. In particular, we focus on scholarly search interests and metadata, the primary source of data in a dataset retrieval system. We show that existing metadata currently poorly reflect information needs and therefore are the biggest obstacle in retrieving relevant data. Our findings indicate that for data seekers in the biodiversity domain environments, materials and chemicals, species, biological and chemical processes, locations, data parameters and data types are important information categories. These interests are well covered in metadata elements of domain-specific standards. However, instead of utilizing these standards, large data repositories tend to use metadata standards with domain-independent metadata fields that cover search interests only to some extent. A second problem are arbitrary keywords utilized in descriptive fields such as title, description or subject. Keywords support scholars in a full text search only if the provided terms syntactically match or their semantic relationship to terms used in a user query is known