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Intelligent environments and assistive technologies for assisting visually impaired people: a systematic literature review
Intelligent environments (IE) refer to physical spaces imbued with pervasive and seamless intelligence, created to proactively support individuals in...
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Improving webtoon accessibility for color vision deficiency in South Korea using deep learning
The webtoon industry is experiencing significant growth in terms of its user base and revenue, rapidly expanding from the local market to...
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A study of easy-to-read adaptations in climate communication: a corpus analysis
Access to clear and scientifically verified information is crucial to understand the scale of the challenge of the climate crisis, allowing...
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Algorithmic Thinking for the Legal Writing: The Case of Italian Election Law
We examine the Italian election law as a case study to illustrate how the algorithmic thinking can productively interoperate with the legal language...
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Analyzing behavioral intentions toward Generative Artificial Intelligence: the case of ChatGPT
Generative artificial intelligence (AI) is an innovative AI technology that has garnered considerable attention worldwide. This study aimed to...
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“Choose with your eyes closed” instore shop** experience and spatial maps in visually impaired and sighted persons
The literature on the consumption patterns of specific categories of consumers, such as people with disability, remains limited to date. This study...
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Considerations on generating facial nonmanual signals on signing avatars
Signing avatars continue to be an active field of research in Deaf-hearing communication, and while their ability to communicate the extemporaneous...
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India’s Conception of Community Data and Addressing Concerns for Access to Justice
This paper discusses the idea of community data that was introduced in the Non-Personal Data framework in India. Our interest is to engage with...
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Game-based collaborative decision-making training: a framework and behavior analysis for a remote collaborative decision-making skill training game using multidimensional scaffolding
Decision-making is considered an essential competence of the twenty-first century skills. Remote synchronous collaborative problem-solving has gained...
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Translating gardens into accessible multisensory tours for blind and partially sighted visitors: an exploratory case study
This paper presents an exploratory case study which illustrates the first stage of our multi-stage methodology for translating gardens into a...
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VR multi-sensory Zaltman's metaphor elicitation technique: a new method for exploring the needs of older adults in social virtual reality
Loneliness has serious effects on the health of the aged population. Especially, when geographic barriers were created due to the COVID-19 outbreak,...
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Turning manual web accessibility success criteria into automatic: an LLM-based approach
Web accessibility evaluation is a costly process that usually requires manual intervention. Currently, large language model (LLM) based systems have...
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The awareness assessment model: measuring awareness and collaboration support over participant’s perspective
Awareness has been a valuable concept in collaborative systems since its formation, an essential part of groupware. Awareness research followed the...
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Empowering deaf communication: a novel LSTM model for recognizing Indonesian sign language
Sign language plays a pivotal role in facilitating communication for the deaf community, bridging the gap with the broader society. Nevertheless,...
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Voicing barriers: accessibility for visually impaired voiceover users on audio chat platforms
Social media is to a large extent focused on visual elements, negatively affecting accessibility for visually impaired users. Touchscreens, designed...
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Policy Guidelines for Smart Sanitation Technology as a Public Health Tool
Smart sanitation technology, or SST, refers to digital technologies applied to the sanitation industry. The breadth of applications can be wide, and...
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AI Risk Assessment: A Scenario-Based, Proportional Methodology for the AI Act
The EU Artificial Intelligence Act (AIA) defines four risk categories for AI systems: unacceptable, high, limited, and minimal. However, it lacks a...
