Wheelchair Navigation System using Node Combination Technique for People with Motor Disabilities

Ugalde, Bernard H.; Vinluan, Albert A.; Carpio, Jennifer T.

doi:10.1145/3474963.3474991

“…Our analysis revealed that the most familiar domain was navigation (38.2%, N=13), which includes papers that focus on accessible data for tasks such as navigation (e.g., [58]), wayfinding (e.g., [59]), assisting people using public transportation (e.g., [60]), and provide people with motor impairments to practice navigating maps through a virtual simulator [61]. This prevalence highlights the potential for enriching visual representations with access-related details-such as information on sidewalk conditions or transit accessibility.…”

Section: B Research Methodology 1) Study Methodsmentioning

confidence: 99%

“…Our review identified several adaptations to typical data representations to accommodate the needs of people with disabilities. For example, adding details about accessible features (e.g., ramps, in-service elevators) in maps could significantly aid those with motor disabilities in navigating the physical world [48], [58]. Similarly, tailoring data visualizations to track and manage complex behavioral data of autistic children has been effective for caregivers [7].…”

Section: ) Inclusive User Characterizationmentioning

confidence: 99%

Beyond Vision Impairments: Redefining the Scope of Accessible Data Representations

Wimer,

South,

Wu

et al. 2024

Preprint

0

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The increasing ubiquity of data in everyday life has elevated the importance of data literacy and accessible data representations, particularly for individuals with disabilities. While prior research predominantly focuses on the needs of the visually impaired, our survey aims to broaden this scope by investigating accessible data representations across a more inclusive spectrum of disabilities. After conducting a systematic review of 152 accessible data representation papers from ACM and IEEE databases, we found that roughly 78% of existing articles center on vision impairments. In this paper, we conduct a comprehensive review of the remaining 22% of papers focused on underrepresented disability communities. We developed categorical dimensions based on accessibility, visualization, and human-computer interaction to classify the papers. These dimensions include the community of focus, issues addressed, contribution type, study methods, participants, data type, visualization type, and data domain. Our work redefines accessible data representations by illustrating their application for disabilities beyond those related to vision. Building on our literature review, we identify and discuss opportunities for future research in accessible data representations. All supplemental materials are available at https://osf.io/yv4xm/?view_only=b36a3fbf7a14b3888029966faa3def9.

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Beyond Vision Impairments: Redefining the Scope of Accessible Data Representations

Wimer,

South,

Wu

et al. 2024

IEEE Trans. Visual. Comput. Graphics

3

0

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The increasing ubiquity of data in everyday life has elevated the importance of data literacy and accessible data representations, particularly for individuals with disabilities. While prior research predominantly focuses on the needs of the visually impaired, our survey aims to broaden this scope by investigating accessible data representations across a more inclusive spectrum of disabilities. After conducting a systematic review of 152 accessible data representation papers from ACM and IEEE databases, we found that roughly 78% of existing articles center on vision impairments. In this paper, we conduct a comprehensive review of the remaining 22% of papers focused on underrepresented disability communities. We developed categorical dimensions based on accessibility, visualization, and human-computer interaction to classify the papers. These dimensions include the community of focus, issues addressed, contribution type, study methods, participants, data type, visualization type, and data domain. Our work redefines accessible data representations by illustrating their application for disabilities beyond those related to vision. Building on our literature review, we identify and discuss opportunities for future research in accessible data representations. All supplemental materials are available at https://osf.io/ yv4xm/?view only=7b36a3fbf7a14b3888029966faa3def9.

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Barrier-Free Routes in a Geographic Information System for Mobility Impaired People

Ugalde

¹

,

Maaliw

²

,

Palarimath

³

et al. 2022

2022 IEEE 13th Annual Ubiquitous Computing, Electronics &Amp; Mobile Communication Conference (UEMCON)

4

0

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Wheelchair Navigation System using Node Combination Technique for People with Motor Disabilities

Cited by 4 publications

References 15 publications

Beyond Vision Impairments: Redefining the Scope of Accessible Data Representations

Beyond Vision Impairments: Redefining the Scope of Accessible Data Representations

Beyond Vision Impairments: Redefining the Scope of Accessible Data Representations

Barrier-Free Routes in a Geographic Information System for Mobility Impaired People

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