After a review of research in last 10 years we have seen the low output of work on the usability of the web, with respect to users with cognitive disabilities. This time we intend to explore the problems faced with mild or moderate intellectual disabilities when using the World Wide Web. We conducted a study to assess the Web site navigation experience using the Usability Lab of Access Research Unit, University of Valencia, where we recorded and analyzed the Web-user interaction using the technique of Thought Manifesto and Interview, from a qualitative methodological approach, to thereby detect the problems they have when surfing the Web sites for people with cognitive deficits.
This chapter discusses assistive technologies applied in people with autism spectrum disorders and how these technologies promote their adaptation. We analyzed different technological application areas such as detection, assessment, diagnosis, intervention, training, learning, environment control, communication, mobility, and access. In recent years there has been a notable increase of publications and works related to the use of assistive technologies applied to Autism Spectrum Disorders. While most of the publications present novel systems, devices, and applications (smartphones, tablets, robots, avatars, etc.), general evaluation of the results is insufficient. Future lines of research are targeted to realize intelligent environments in order to integrate all knowledge and technological developments made in recent years.
Usability as well as accessibility is a key aspect in development of human-computer interaction. This paper presents the basis of usability evaluation methodology and reviews the methodology used in empirical studies of usability evaluation for disabled people. Finally, we present a solution (METBA) as a system for managing the information related to evaluation of human behavioral observation contents that is used for the registration and management of the information derived from remote usability evaluation which complements the methodology commonly used in this research area.
This chapter discusses assistive technologies applied in people with autism spectrum disorders and how these technologies promote their adaptation. We analyzed different technological application areas such as detection, assessment, diagnosis, intervention, training, learning, environment control, communication, mobility, and access. In recent years there has been a notable increase of publications and works related to the use of assistive technologies applied to Autism Spectrum Disorders. While most of the publications present novel systems, devices, and applications (smartphones, tablets, robots, avatars, etc.), general evaluation of the results is insufficient. Future lines of research are targeted to realize intelligent environments in order to integrate all knowledge and technological developments made in recent years.
This study aims to analyse the brain activity occurring during the observation of football videos randomly intermingled in a documentary. The electroencephalography recording is employed to measure the signal scalp of 20 healthy subjects. The signal preprocessing is performed using Independent Component Analysis (ICA) and ADJUST. The cerebral activity is quantified through Global Field Power (GFP) in order to classify the clips following an emotive scale, to establish differences between positive and negative video stimuli. Results are summarized as follows: (1) Comparing the cerebral activity of a positive video with its predecessor neutral stimulus, significant differences were obtained (p = .0019). However, the same analysis for negative videos shows no significant differences (p = .096). (2) The number of peaks in brain activity allow us to classify the videos used in the study. (3) The brain activity in theta and beta bands presents different distribution of peaks, occurring at different frames.
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