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The purpose of this paper is to resolve a gap in the knowledge of how people with dyslexia interact with information retrieval (IR) systems, specifically an understanding of their information‐searching behaviour.

The dyslexia cognitive profile is used to design a logging system, recording the difference between two sets of participants: dyslexic and control users. A standard Okapi interface is used – together with two standard TREC topics – in order to record the information searching behaviour of these users.

Using the log data, the differences in information‐searching behaviour of control and dyslexic users, i.e. in the way the two groups interact with Okapi, are established and it also established that qualitative information collected (such as experience etc.) may not be able to account for these differences. Evidence from query variables was unable to distinguish between groups, but differences on topic for the same variables were recorded. Users who view more documents tended to judge more documents as being relevant, in terms of either the user group or topic. Session data indicated that there may be an important difference between the number of iterations used in a search between the user groups, as there may be little effect from the topic on this variable.

This is the first study of the effect of dyslexia on information search behaviour, and it provides some evidence to take the field forward.

On a world basis, 15% of the population has a disability. Having a disability can result in a higher frequency of health-related information needs than other users might experience. The Web represents a widely used source for health information. People with disabilities, however, often encounter barriers during online searching, such as inaccessible information, poorly designed search user interfaces and lack of compatibility with assistive technology. Consequently, many users are potentially excluded from a range of information sources. Measures are therefore needed to remove these barriers to avoid health disparities that can result from unequal access to information. Public libraries have a social responsibility to include all user groups, and should aspire to make fully accessible services. A good tool in this context is the implementation of the universal design mind-set, where the purpose is to develop services that are available to all people. This chapter discusses how universal design can be a premise for equal access to health information and potentially reduce health disparities in the context of users with disabilities. Both library services and education of librarians will be addressed.

A substantial number of models have been developed over the years, with the purpose of describing the information seeking and searching of people in various user groups and contexts. Several models have been frequently applied in user studies, but are rarely included in research on participants with impairments. Models are purposeful when developing theories. Consequently, it might be valuable to apply models when studying this user group, as well. The purpose of this study was to explore whether existing models are applicable in describing the online information seeking and searching of users with impairments, with an overall aim to increase the use of models in studies involving impairments.

Six models were selected according to the following criteria: the model should address information seeking or searching, include the interaction between users and systems whilst incorporating assistive technology. Two user groups were selected from each of the categories: cognitive, sensory and motor impairments, namely dyslexia, autism, blindness, deafness, paralysation and Parkinson's. The models were then analysed based on known barriers reported for these cohorts.

All the selected models had potential to be applied in user studies involving impairments. While three of the models had the highest potential to be used in the current form, the other three models were applicable either through minor revisions or by combining models.

This study contributes with a new perspective on the use of models in information seeking and searching research on users with impairments.

Personae are simple tools for describing users, their characteristics and their goals. They are valuable tools when designing for a specific group of users, such as children with autism spectrum condition (ASC). The purpose of this paper is to propose, validate and revise a methodology for creating accurate, data grounded personae for children with ASC.

The proposed method is based mainly on Cooper et al.’s (2007) persona construction method. It proposes gathering and analysing qualitative data from users and experts to either create a new persona or extend an existing one. The method is then applied to create personae for the design of a visual programming tool for children with ASC. Based on the results of the application, observations and lessons learnt, a revised version of the method is proposed.

The method’s combined use of user data and expert knowledge produced a set of personae that have been well reviewed by experts so far. The method’s use of a questionnaire to validate personae also produced relevant qualitative feedback. On review, possible downsides of extending existing personae were identified. Therefore, a revised method was introduced, eliminating the need to extend existing personae, and stressing the importance of utilising user data, expert knowledge and feedback.

This paper addresses the need for a well-defined method for creating data grounded personae that accurately describe the characteristics and goals of children with ASC. Such personae can be used to design and develop more accessible and usable products.

With the proliferation of terrorist/extremist websites on the World Wide Web, it has become progressively more crucial to detect and analyze the content on these websites. Accordingly, the volume of previous research focused on identifying the techniques and activities of terrorist/extremist groups, as revealed by their sites on the so-called dark web, has also grown.

This study presents a review of the techniques used to detect and process the content of terrorist/extremist sites on the dark web. Forty of the most relevant data sources were examined, and various techniques were identified among them.

Based on this review, it was found that methods of feature selection and feature extraction can be used as topic modeling with content analysis and text clustering.

At the end of the review, present the current state-of-the- art and certain open issues associated with Arabic dark Web content analysis.

The purpose of this empirical study was to address two important concerns of Web usability: how user-intuitive interface signs affect Web usability and how applying semiotics (i.e. the doctrine of signs) in user interface (UI) design and evaluation helps to improve usability.

An empirical research approach is followed here to conduct three user tests. These tests were conducted on a Web application with 17 test participants. Data were gathered through laboratory-based think-aloud usability test, questionnaires and interviews. Following an empirical research approach, statistics and user behavior analysis were used to analyze the data.

This study explores two important concerns of UI design and evaluation. First, users’ interpretation accuracy of interface signs impact on Web usability. The study found that users’ interpretation of signs might be accurate, moderate, conflicting, erroneous or incapable; user-intuitive interface signs led participants to interpret signs’ meaning accurately; and users’ inaccurate interpretation of one or a few task-related interface sign(s) led users to usability problems, resulting in participants performing tasks with lower task-completion performance. Second, considering semiotics perception in UI design and evaluation is important to improve Web usability. This study showed that interface signs, when re-designed considering the semiotics guidelines, have increased the end-users’ interpretation accuracy and the interface signs’ intuitiveness. This study also provides a small set of semiotics guidelines for sign design and evaluation.

This study empirically demonstrated that signs’ intuitiveness impact on Web usability and that considering the semiotics perception in sign design and evaluation is important to improve Web usability. These outcomes are valuable in a number of ways to HCI researchers and practitioners: the results provide awareness of the importance of user-intuitive interface signs in UI design; practitioners can easily adopt the concept of interpretation accuracy classification to conduct a sign test to obtain an “overall impression of interface signs’ intuitiveness”; practitioners can easily adopt the methodological approach followed in this study to conduct usability test without additional resources; and the results raised important fundamental questions for future research such as “what does a practitioner need to be aware of when designing or evaluating interface signs?”

This paper explores the engagement of architecture and design-related disciplines within the built environment with social media. The study aims to identify key themes, assess the methodologies used and compare the approaches across different disciplines.

The research employs a semi-systematic literature review coupled with thematic analysis. This approach allows for a comprehensive examination of existing studies, identifying key themes, trends and gaps in the current knowledge base. Through this methodology, the paper synthesises diverse perspectives and insights from a wide range of sources.

Social media data is a valuable tool for understanding architecture and the built environment, but there is a significant divergence in methodologies across disciplines. There is a growing advocacy for mixed-method approaches that would benefit from critical engagement with data that’s underpinned by theoretical frameworks. Such approaches enhance research robustness, support multidisciplinary collaboration and improve the applicability of social media data in design practices.

Despite the proliferation of literature on social media and the built environment, there remains a lack of nuanced understanding regarding thematic variations within individual design disciplines and the specific research methodologies they employ. This paper critically reviews existing research to offer current insights, research gaps and potential future research directions on social media and architecture/design-related disciplines in the built environment.