Towards the Use of Social Computing for Social Inclusion: An Overview of the Literature

Constantinou, Vaso; Kosmas, Panagiotis; Parmaxi, Antigoni; Ioannou, Andri; Klironomos, Iosif; Antona, Margherita; Stephanidis, Constantine; Zaphiris, Panayiotis

doi:10.1007/978-3-319-91743-6_28

Cited by 3 publications

(3 citation statements)

References 42 publications

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“…Within the 1141 times the term "design" was used, all but eight focused on products envisioned specifically for disabled people. Of these eight, one gave a general overview of design for all and the convention on the rights of persons with disabilities [152]; one covered the advancement on "access for all" for a part of Germany [153]; one was a review of social computing (SC) for social inclusion [154]; one made the case of access issues with the Prosperity4all platform [155]; one was a review of ICT and emergency management research [156]; and one was about urban design education [157].…”

Section: Part 3: Role Identity and Stake Narrativementioning

confidence: 99%

Coverage of Artificial Intelligence and Machine Learning within Academic Literature, Canadian Newspapers, and Twitter Tweets: The Case of Disabled People

Lillywhite

Wolbring

2020

Societies

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Artificial intelligence (AI) and machine learning (ML) advancements increasingly impact society and AI/ML ethics and governance discourses have emerged. Various countries have established AI/ML strategies. “AI for good” and “AI for social good” are just two discourses that focus on using AI/ML in a positive way. Disabled people are impacted by AI/ML in many ways such as potential therapeutic and non-therapeutic users of AI/ML advanced products and processes and by the changing societal parameters enabled by AI/ML advancements. They are impacted by AI/ML ethics and governance discussions and discussions around the use of AI/ML for good and social good. Using identity, role, and stakeholder theories as our lenses, the aim of our scoping review is to identify and analyze to what extent, and how, AI/ML focused academic literature, Canadian newspapers, and Twitter tweets engage with disabled people. Performing manifest coding of the presence of the terms “AI”, or “artificial intelligence” or “machine learning” in conjunction with the term “patient”, or “disabled people” or “people with disabilities” we found that the term “patient” was used 20 times more than the terms “disabled people” and “people with disabilities” together to identify disabled people within the AI/ML literature covered. As to the downloaded 1540 academic abstracts, 234 full-text Canadian English language newspaper articles and 2879 tweets containing at least one of 58 terms used to depict disabled people (excluding the term patient) and the three AI terms, we found that health was one major focus, that the social good/for good discourse was not mentioned in relation to disabled people, that the tone of AI/ML coverage was mostly techno-optimistic and that disabled people were mostly engaged with in their role of being therapeutic or non-therapeutic users of AI/ML influenced products. Problems with AI/ML were mentioned in relation to the user having a bodily problem, the usability of AI/ML influenced technologies, and problems disabled people face accessing such technologies. Problems caused for disabled people by AI/ML advancements, such as changing occupational landscapes, were not mentioned. Disabled people were not covered as knowledge producers or influencers of AI/ML discourses including AI/ML governance and ethics discourses. Our findings suggest that AI/ML coverage must change, if disabled people are to become meaningful contributors to, and beneficiaries of, discussions around AI/ML.

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Section: Part 3: Role Identity and Stake Narrativementioning

confidence: 99%

Coverage of Artificial Intelligence and Machine Learning within Academic Literature, Canadian Newspapers, and Twitter Tweets: The Case of Disabled People

Lillywhite

Wolbring

2020

Societies

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“…SmartSignPlay is an interactive mobile application. The application supports the learning and practice of American Sign Language by using an animated avatar [29].…”

Section: Hearing Impairment and Deafnessmentioning

confidence: 99%

“…To address these needs, a new mobile app called "Fingerspelling Tutor" was presented. Toro et al introduced the Fingerspelling Tutor application, which uses a 3D character that displays spelling [29]. The application includes quizzes and tutorials that allow the user to type words that the 3D character can spell.…”

Section: Hearing Impairment and Deafnessmentioning

confidence: 99%

ICTs in Inclusive Education for Sensory and Physical Disabilities

Anagnostopoulou¹,

Ntaountaki²,

Drigas³

2021

CEI

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The current paper examines the role of Information and Communication Technologies (ICTs) in the inclusion of students with sensory and physical disabilities. Our main goal is to present the importance of ICTs and highlight their contribution to the smooth and equal inclusion of these children in the educational system and society. Thus, the research team of this paper presents specific examples of ICTs that aid children with visual and hearing impairments and physical disabilities. We followed the method of bibliographic review of articles, focusing on articles from the last five years. However, we considered it necessary to include also some older articles for a more complete and accurate review of the topic. According to the results of the research, ICTs provide an attractive and supportive environment for the students with special needs as well as equal opportunities regarding their inclusion. Since we live in the world of information and the digital revolution, we have to adapt to modern reality and prioritize the use of ICTs in education. Lastly, ICTs help the students with sensory and physical disabilities to overcome the barriers that exist in traditional educational systems which would lead to the reduction of social exclusion.

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Situated Ability: A Case from Higher Education on Digital Learning Environments

Saplacan

2020

Universal Access in Human-Computer Interaction. Applications and Practice

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Towards the Use of Social Computing for Social Inclusion: An Overview of the Literature

Cited by 3 publications

References 42 publications

Coverage of Artificial Intelligence and Machine Learning within Academic Literature, Canadian Newspapers, and Twitter Tweets: The Case of Disabled People

Coverage of Artificial Intelligence and Machine Learning within Academic Literature, Canadian Newspapers, and Twitter Tweets: The Case of Disabled People

ICTs in Inclusive Education for Sensory and Physical Disabilities

Situated Ability: A Case from Higher Education on Digital Learning Environments

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