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New Review of Hypermedia and Multimedia 16

Editors:Douglas Tudhope; Daniel Cunliffe
Publisher:Taylor & Francis
Standard No:ISSN 1361-4568 (print); ISSN 1740-7842 (online)
Links:Table of Contents
  1. HYPERMM 2010 Volume 16 Issue 1/2
  2. HYPERMM 2010 Volume 16 Issue 3

HYPERMM 2010 Volume 16 Issue 1/2

Editors' Introduction BIBFull-Text 1-2
  Daniel Cunliffe; Douglas Tudhope
Choosing our Science BIBFull-Text 3-8
  David Millard; Weigang Wang
Ontology-driven generation of wiki content and interfaces BIBAFull-Text 9-31
  Angelo Di Iorio; Alberto Musetti; Silvio Peroni; Fabio Vitali
The planetary success of Wikipedia has opened the road to using wikis as shared resources for communities to collect and organize facts, concepts, and structures that constitute both the shared knowledge of the community and, more often than not, the very reason for the community to exist.
   The ease of creating, editing, and debating one's own and each other's contributions to the wiki knowledge-based are key aspects of the success and livelihood of the community itself. The need for semantic wiki data cannot be separated from the need of friendly authoring environments for those data.
   This paper introduces a framework that allows users to easily create semantic wiki content by exploiting ontology-driven forms and templates. The system, called OWiki, is an instantiation of a more general model, named GAFFE, that exploits ontologies to generate metadata editors. Both GAFFE and OWiki are presented in this paper, with particular attention to the way they exploit ontologies to model the community shared knowledge, the interfaces used to create that knowledge, and the way it evolves.
Leveraging search and content exploration by exploiting context in folksonomy systems BIBAFull-Text 33-70
  Fabian Abel; Matteo Baldoni; Cristina Baroglio; Nicola Henze; Ricardo Kawase; Daniel Krause; Viviana Patti
With the advent of Web 2.0 tagging became a popular feature in social media systems. People tag diverse kinds of content, e.g. products at Amazon, music at Last.fm, images at Flickr, etc. In the last years several researchers analyzed the impact of tags on information retrieval. Most works focused on tags only and ignored context information. In this article we present context-aware approaches for learning semantics and improve personalized information retrieval in tagging systems.
   We investigate how explorative search, initialized by clicking on tags, can be enhanced with automatically produced context information so that search results better fit to the actual information needs of the users. We introduce the SocialHITS algorithm and present an experiment where we compare different algorithms for ranking users, tags, and resources in a contextualized way.
   We showcase our approaches in the domain of images and present the TagMe! system that enables users to explore and tag Flickr pictures. In TagMe! we further demonstrate how advanced context information can easily be generated: TagMe! allows users to attach tag assignments to a specific area within an image and to categorize tag assignments. In our corresponding evaluation we show that those additional facets of tag assignments gain valuable semantics, which can be applied to improve existing search and ranking algorithms significantly.
Capturing the semiotic relationship between terms BIBAFull-Text 71-84
  Charlie Hargood; David E. Millard; Mark J. Weal
Tags describing objects on the web are often treated as facts about a resource, whereas it is quite possible that they represent more subjective observations. Existing methods of term expansion expand terms based on dictionary definitions or statistical information on term occurrence. Here we propose the use of a thematic model for term expansion based on semiotic relationships between terms; this has been shown to improve a system's thematic understanding of content and tags and to tease out the more subjective implications of those tags. Such a system relies on a thematic model that must be made by hand. In this article, we explore a method to capture a semiotic understanding of particular terms using a rule-based guide to authoring a thematic model. Experimentation shows that it is possible to capture valid definitions that can be used for semiotic term expansion but that the guide itself may not be sufficient to support this on a large scale. We argue that whilst the formation of super definitions will mitigate some of these problems, the development of an authoring support tool may be necessary to solve others.
PATONGO: Patterns and Tools for Non-Profit Organizations -- a pattern-based approach for helping volunteers to identify and share good practice BIBAFull-Text 85-111
  Till Schümmer; Jörg M. Haake
Identification and sharing of good practice is an essential ingredient for collaborative voluntary action in non-profit organizations. While current approaches for sharing good practice focus on adopting and describing good practice individually, they fail to address collaborative detection, description, and appropriation of good practice in organizations. We propose a pattern-based approach, which facilitates collaborative creation, improvement, and sharing of good practice via Web 2.0 concepts. First experiences with the approach are presented including a field experiment where the approach was implemented in the Evangelic Church of Germany.
Tracking cohesive subgroups over time in inferred social networks BIBAFull-Text 113-139
  Alvin Chin; Mark Chignell; Hao Wang
As a first step in the development of community trackers for large-scale online interaction, this paper shows how cohesive subgroup analysis using the Social Cohesion Analysis of Networks (SCAN; Chin and Chignell 2008) and Data-Intensive Socially Similar Evolving Community Tracker (DISSECT; Chin and Chignell 2010) methods can be applied to the problem of identifying cohesive subgroups and tracking them over time. Three case studies are reported, and the findings are used to evaluate how well the SCAN and DISSECT methods work for different types of data. In the largest of the case studies, variations in temporal cohesiveness are identified across a set of subgroups extracted from the inferred social network. Further modifications to the DISSECT methodology are suggested based on the results obtained. The paper concludes with recommendations concerning further research that would be beneficial in addressing the community tracking problem for online data.
Talking about your health to strangers: understanding the use of online social networks by patients BIBAFull-Text 141-160
  Nathalie Colineau; Cécile Paris
The internet has become a participatory place where everyone can contribute and interact with others. In health in particular, social media have changed traditional patient-physician relationships. Patients are organising themselves in groups, sharing observations and helping each other, although there is still little evidence of the effectiveness of these online communities on people's health. To understand why and how people use health-related sites, we studied these sites and identified three dimensions characterising most of them: informational/supportive; general/focused; and new relationships/existing ones. We conducted an online survey about the use of health-related social networking (SN) sites and learnt that, consistent with previous research, most patients were seeking information about their medical condition online, while, at the same time, still interacting with health professionals to talk about sensitive information and complex issues. We also found that, while people's natural social network played an important role for emotional support, sometimes, people chose to not involve their family, but instead interact with peers online because of their perceived support and ability to understand someone's experience, and also to maintain a comfortable emotional distance. Finally, our results show that people using general SN sites do not necessarily use health-related sites and vice versa.
"Be Nice": Wikipedia norms for supportive communication BIBAFull-Text 161-180
  Joseph M. Reagle
Wikipedia is acknowledged to have been home to "some bitter disputes." Indeed, conflict at Wikipedia is said to be "as addictive as cocaine." Yet, such observations are not cynical commentary but motivation for a collection of social norms. These norms speak to the intentional stance and communicative behaviors Wikipedians should adopt when interacting with one another. In the following pages, I provide a survey of these norms on the English Wikipedia and argue that they can be characterized as supportive based on Jack Gibb's classic communication article "Defensive Communication."
Designing (for) experiences in photorealistic VR environments BIBAFull-Text 181-194
  Fiona Carroll
This paper investigates the role of aesthetics in the design of "intended" experiences in photorealistic virtual reality (VR) environments. It is motivated by the very notion that the aesthetic potential of photorealistic VR content is, and continues to be, underestimated whilst the emphasis on the development of newer and more efficient visualisation technologies to create new and exciting VR experiences increases. Challenging this, the paper looks beyond the technological (and the more traditional human computer interaction approaches that have primarily focused on the performance and efficiency issues of the technology) in order to explore more human values and the experiential side of VR. It focuses on the design of an "engaged interaction" and in doing so, implements a comparative study to explore how the strategic patterning of the aesthetic elements (particularly colour) within a photorealistic VR environment can allow for the design of a certain experience. In conclusion, the paper demonstrates that aesthetics and the "engaged interaction" can play an important role in getting to the heart of the photorealistic VR "user" experience. It highlights how we might design for (i.e. suggest, coax and guide) an "intended" VR experience.
Evaluating website navigability: validation of a tool-based approach through two eye-tracking user studies BIBAFull-Text 195-214
  Christos Katsanos; Nikolaos Tselios; Nikolaos Avouris
Following information scent has been established as a metaphor to describe a user's behaviour while navigating an information space by successively selecting hyperlinks. This metaphor suggests that users assess the profitability of following a particular hyperlink based on its perceived semantic association with their goal. The purpose of this paper is to study how information scent, this important attribute of hypermedia navigability, influences concurrently four aspects of users' behaviour while exploring a website: (1) distribution of attention; (2) confidence in choice of link; (3) efficiency; and (4) effectiveness. It was found that in webpages with high scent, users were significantly more focused, confident of their choices, efficient and effective compared to webpages with ambiguous scent. The findings of the study are discussed in comparison with results obtained from a previously conducted analysis using InfoScent Evaluator (ISEtool), a tool that has been proposed to facilitate scent evaluation of websites. This comparison provided support for the effectiveness of ISEtool in indicating potential scent-related navigability problems. We argue that such a tool-based approach can facilitate hypermedia design by reducing the resources and expertise required, and by providing the necessary flexibility for practitioners.

HYPERMM 2010 Volume 16 Issue 3

Editors' Introduction BIBFull-Text 215-215
  Daniel Cunliffe; Douglas Tudhope
Introduction to Special Issue on Web Accessibility BIBFull-Text 217-219
  David Sloan
Macroscopic characterisations of Web accessibility BIBAFull-Text 221-243
  Rui Lopes; Luis Carriço
The Web Science framework poses fundamental questions on the analysis of the Web, by focusing on how microscopic properties (e.g. at the level of a Web page or Web site) emerge into macroscopic properties and phenomena. One research topic on the analysis of the Web is Web accessibility evaluation, which centres on understanding how accessible a Web page is for people with disabilities. However, when framing Web accessibility evaluation on Web Science, we have found that existing research stays at the microscopic level.
   This article presents an experimental study on framing Web accessibility evaluation into Web Science's goals. This study resulted in novel accessibility properties of the Web not found at microscopic levels, as well as of Web accessibility evaluation processes themselves. We observed at large scale some of the empirical knowledge on how accessibility is perceived by designers and developers, such as the disparity of interpretations of accessibility evaluation tools warnings. We also found a direct relation between accessibility quality and Web page complexity. We provide a set of guidelines for designing Web pages, education on Web accessibility, as well as on the computational limits of large-scale Web accessibility evaluations.
Interactive SIGHT: textual access to simple bar charts BIBAFull-Text 245-279
  Seniz Demir; David Oliver; Edward Schwartz; Stephanie Elzer; Sandra Carberry; Kathleen F. Mccoy; Daniel Chester
Information graphics, such as bar charts and line graphs, are an important component of many articles from popular media. The majority of such graphics have an intention (a high-level message) to communicate to the graph viewer. Since the intended message of a graphic is often not repeated in the accompanying text, graphics together with the textual segments contribute to the overall purpose of an article and cannot be ignored. Unfortunately, these visual displays are provided in a format which is not readily accessible to everyone. For example, individuals with sight impairments who use screen readers to listen to documents have limited access to the graphics. This article presents a new accessibility tool, the Interactive SIGHT (Summarizing Information GrapHics Textually) system, that is intended to enable visually impaired users to access the knowledge that one would gain from viewing information graphics found on the web. The current system, which is implemented as a browser extension that works on simple bar charts, can be invoked by a user via a keystroke combination while navigating the web. Once launched, Interactive SIGHT first provides a brief summary that conveys the underlying intention of a bar chart along with the chart's most significant and salient features, and then produces history-aware follow-up responses to provide further information about the chart upon request from the user. We present two user studies that were conducted with sighted and visually impaired users to determine how effective the initial summary and follow-up responses are in conveying the informational content of bar charts, and to evaluate how easy it is to use the system interface. The evaluation results are promising and indicate that the system responses are well-structured and enable visually impaired users to answer key questions about bar charts in an easy-to-use manner. Post-experimental interviews revealed that visually impaired participants were very satisfied with the system offering different options to access the content of a chart to meet their specific needs and that they would use Interactive SIGHT if it was publicly available so as not to have to ignore graphics on the web. Being a language based assistive technology designed to compensate for the lack of sight, our work paves the road for a stronger acceptance of natural language interfaces to graph interpretation that we believe will be of great benefit to the visually impaired community.
Using qualitative eye-tracking data to inform audio presentation of dynamic Web content BIBAFull-Text 281-301
  Andy Brown; Caroline Jay; Simon Harper
Presenting Web content through screen readers can be a challenging task, but this is the only means of access for many blind and visually impaired users. The difficulties are more acute when the information forms part of an interactive process, such as the increasingly common "Web 2.0 applications". If the process is to be completed correctly and efficiently it is vital that appropriate information is given to the user at an appropriate time. Designing a non-visual interface that achieves these aims is a non-trivial task, for which several approaches are possible. The one taken here is to use eye-tracking to understand how sighted users interact with the content, and to gain insight into how they benefit from the information, then apply this understanding to design a non-visual user interface. This paper describes how this technique was applied to develop audio interfaces for two common types of interaction -- auto-suggest lists and pop-up calendars. Although the resulting interfaces were quite different, one largely mirroring the visual representation and the other not, evaluations showed that the approach was effective, with both audio implementations effective and popular with participants.
Adapting Web content for low-literacy readers by using lexical elaboration and named entities labeling BIBAFull-Text 303-327
  W. M. Watanabe; A. Candido; M. A. Amâncio; M. De Oliveira; T. A. S. Pardo; R. P. M. Fortes; S. M. Aluísio
This paper presents an approach for assisting low-literacy readers in accessing Web online information. The "Educational FACILITA" tool is a Web content adaptation tool that provides innovative features and follows more intuitive interaction models regarding accessibility concerns. Especially, we propose an interaction model and a Web application that explore the natural language processing tasks of lexical elaboration and named entity labeling for improving Web accessibility. We report on the results obtained from a pilot study on usability analysis carried out with low-literacy users. The preliminary results show that "Educational FACILITA" improves the comprehension of text elements, although the assistance mechanisms might also confuse users when word sense ambiguity is introduced, by gathering, for a complex word, a list of synonyms with multiple meanings. This fact evokes a future solution in which the correct sense for a complex word in a sentence is identified, solving this pervasive characteristic of natural languages. The pilot study also identified that experienced computer users find the tool to be more useful than novice computer users do.