Graph Representation of Road Network for Mobility-Impaired Persons

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

doi:10.1109/icict52872.2021.00039

Cited by 7 publications

(2 citation statements)

References 20 publications

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“…Contrary to the expectations of human-centered design that prevail in HCI and accessibility research [11], [42], only 64.7% (n=22) of the 34 papers incorporated user studies. Among the twelve papers that did not include user studies, the employed research methods encompassed algorithm and system analyses (e.g., [38], [53]), surveying the accessibility of interactive data visualizations (e.g., [46]) and the development of assistive technology prototypes without subsequent user evaluations (e.g., [49], [54]). These methods undoubtedly contribute to the field, but the absence of user studies, whether for initial development or subsequent evaluation, limits the incorporation of valuable insights and perspectives from the disability communities targeted.…”

Section: B Research Methodology 1) Study Methodsmentioning

confidence: 99%

Beyond Vision Impairments: Redefining the Scope of Accessible Data Representations

Wimer,

South,

et al. 2024

Preprint

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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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Section: B Research Methodology 1) Study Methodsmentioning

confidence: 99%

Beyond Vision Impairments: Redefining the Scope of Accessible Data Representations

Wimer,

South,

et al. 2024

Preprint

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“…The Haversine distance is the angular distance between two (latitude, longitude) coordinates on Earth (Φ 1 , λ 1 ) and (Φ 2 , λ 2 ). Haversine distance has previously been shown to be a good estimator of real-world road distances [43].…”

Section: Identification Of Potential Inefficienciesmentioning

confidence: 99%

Associative Analysis of Inefficiencies and Station Activity Levels in Emergency Response

Tiam-Lee

Henriques

Manquinho

2022

IJGI

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Emergency medical services (EMS) around the world face the challenging task of allocating resources to efficiently respond to medical emergencies within a geographical area. While several studies have been done to improve various aspects of EMS, such as ambulance dispatch planning and station placement optimization, few works have focused on the assessment of existing rich real-world emergency response data to systematically identify areas of improvement. In this paper, we propose DAPI (data-driven analysis of potential response inefficiencies), a general tool for analyzing inefficiencies in emergency response datasets. DAPI efficiently identifies potential response bottlenecks based on spatial distributions of ambulance responses and statistically assesses them with respect to inferred activity levels of relevant dispatch stations to aid causality analysis. DAPI is applied on a dataset containing all medical emergency responses in mainland Portugal, in which we find statistical evidence that inefficiencies are correlated with high levels of activity of stations closer to an emergency location. We present these findings, along with the associated patterns and geographical clusters, serving as a valuable decision support tool to aid EMS in improving their operations.

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An Optimal Route for People with Ambulant Disabilities Using Mathematical Risk Modeling and Analytic Hierarchy Process

Ugalde

Vinluan

Carpio

2021

Lecture Notes in Networks and Systems

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Graph Representation of Road Network for Mobility-Impaired Persons

Cited by 7 publications

References 20 publications

Beyond Vision Impairments: Redefining the Scope of Accessible Data Representations

Beyond Vision Impairments: Redefining the Scope of Accessible Data Representations

Associative Analysis of Inefficiencies and Station Activity Levels in Emergency Response

An Optimal Route for People with Ambulant Disabilities Using Mathematical Risk Modeling and Analytic Hierarchy Process

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