How to establish practical contributions and convey practical implications? Guidelines on locating practice gaps and making recommendations for practice

Lim, Weng Marc; Bowman, Carmen

doi:10.1080/01924788.2023.2232220

Cited by 9 publications

(2 citation statements)

References 38 publications

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“…This is despite the existence of visualization design guidelines and recommendations specific to the above‐mentioned issues and research studies that have highlighted the importance of accommodating older adults' visual and cognitive needs. Lim et al [LB23] work also emphasizes a crucial gap between research and practice, “particularly in the sphere of aging”. To enable older adults to fully benefit from data visualization, it is not only necessary to close the existing gap in our knowledge but also to investigate and understand factors that will encourage and result in practical adaptation and use of such knowledge in the real world.…”

Section: Challenges and Opportunitiesmentioning

confidence: 99%

GerontoVis: Data Visualization at the Confluence of Aging

While,

Crouser,

Sarvghad

2024

Computer Graphics Forum

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Despite the explosive growth of the aging population worldwide, older adults have been largely overlooked by visualization research. This paper is a critical reflection on the underrepresentation of older adults in visualization research. We discuss why investigating visualization at the intersection of aging matters, why older adults may have been omitted from sample populations in visualization research, how aging may affect visualization use, and how this differs from traditional accessibility research. To encourage further discussion and novel scholarship in this area, we introduce GerontoVis, a term which encapsulates research and practice of data visualization design that primarily focuses on older adults. By introducing this new subfield of visualization research, we hope to shine a spotlight on this growing user population and stimulate innovation toward the development of aging‐aware visualization tools. We offer a birds‐eye view of the GerontoVis landscape, explore some of its unique challenges, and identify promising areas for future research.

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Section: Challenges and Opportunitiesmentioning

confidence: 99%

GerontoVis: Data Visualization at the Confluence of Aging

While,

Crouser,

Sarvghad

2024

Computer Graphics Forum

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“…This letter serves as a guidepost for multiple stakeholders (Lim & Bowman, 2023a), spanning individuals with mental disorders, academic and industry professionals in the tourism and hospitality industry, and society at large. Individuals.…”

Section: Key Implicationsmentioning

confidence: 99%

Mental Health on the Go: Navigating Travel and Travel Eligibility

Hu,

Wen,

Lim

et al. 2023

Journal of Travel Research

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The 21st century has seen tourists from various source markets significantly impacted by non-communicable diseases, including mental disorders. Yet, research and practice frequently overlook tourists with mental disorders. Building on Buckley’s discussion in the Journal of Travel Research about tourism and mental health, this study examines the travel eligibility of tourists diagnosed with four prevalent mental disorders: major depressive disorder (MDD), generalized anxiety disorder (GAD), schizophrenia, and dementia. We present preliminary recommendations for accommodating these tourists and highlight the urgent need for collaborative efforts between stakeholders in tourism, hospitality, and medicine.

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Unveiling Portfolio Resilience: Harnessing Asymmetric Copulas for Dynamic Risk Assessment in the Knowledge Economy

2023

J Knowl Econ

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How to establish practical contributions and convey practical implications? Guidelines on locating practice gaps and making recommendations for practice

Cited by 9 publications

References 38 publications

GerontoVis: Data Visualization at the Confluence of Aging

GerontoVis: Data Visualization at the Confluence of Aging

Mental Health on the Go: Navigating Travel and Travel Eligibility

Unveiling Portfolio Resilience: Harnessing Asymmetric Copulas for Dynamic Risk Assessment in the Knowledge Economy

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