Safe Navigation for Elderly and Visually Impaired People Using Adhesive Tactile Walking Surface Indicators in Home Environment

Prakash, Rajanala Vijaya; Taduri, Srinath

doi:10.1007/978-981-13-7166-0_77

Information and Communication Technology for Sustainable Development

2019

DOI: 10.1007/978-981-13-7166-0_77

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Safe Navigation for Elderly and Visually Impaired People Using Adhesive Tactile Walking Surface Indicators in Home Environment

Rajanala Vijaya Prakash

Srinath Taduri

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Cited by 4 publications

References 12 publications

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User-centered AI-based voice-assistants for safe mobility of older people in urban context

Jnr.

2024

AI & Soc

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Voice-assistants are becoming increasingly popular and can be deployed to offers a low-cost tool that can support and potentially reduce falls, injuries, and accidents faced by older people within the age of 65 and older. But, irrespective of the mobility and walkability challenges faced by the aging population, studies that employed Artificial Intelligence (AI)-based voice-assistants to reduce risks faced by older people when they use public transportation and walk in built environment are scarce. This is because the development of AI-based voice-assistants suitable for the mobility domain presents several techno–social challenges. Accordingly, this study aims to identify user-centered service design and functional requirements, techno–social factors, and further design an architectural model for an AI-based voice-assistants that provide personalized recommendation to reduce falls, injuries, and accidents faced by older people. Accordingly, a scoping review of the literature grounded on secondary data from 59 studies was conducted and descriptive analysis of the literature and content-related analysis of the literature was carried out. Findings from this study presents the perceived techno-socio factors that may influences older people use of AI-based voice-assistants. More importantly, this study presents user-centred service design and functional requirements needed to be considered in developing voice-assistants suitable for older people. Implications from this study provides AI techniques for implementing voice-assistants that provide safe mobility, walkability, and wayfinding for older people in urban areas.

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User-centered AI-based voice-assistants for safe mobility of older people in urban context

Jnr.

2024

AI & Soc

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Vibrations induced in wheeled equipment by curved protrusions on guide blocks for the visually impaired

Yamada,

Kuwabara

2023

Journal of Asian Architecture and Building Engineering

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Exploring mobility equity, equality, and accessibility for older people in the local environment: a systematic literature review

Anthony Jnr

2024

Local Environment

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Safe Navigation for Elderly and Visually Impaired People Using Adhesive Tactile Walking Surface Indicators in Home Environment

Cited by 4 publications

References 12 publications

User-centered AI-based voice-assistants for safe mobility of older people in urban context

User-centered AI-based voice-assistants for safe mobility of older people in urban context

Vibrations induced in wheeled equipment by curved protrusions on guide blocks for the visually impaired

Exploring mobility equity, equality, and accessibility for older people in the local environment: a systematic literature review

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