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Smartwatch Fall Detection and Emotional Intelligence: Understanding Adoption and Behaviour of the Elderly in Central Kerala
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Author(s): Meera Ramanath (P.K. Das Institute of Medical Sciences, India), Vishnu Achutha Menon (Institute for Educational and Developmental Studies, India)and Aswathi Prasad (Chinmaya Vishwa Vidyapeeth, India)
Copyright: 2025
Pages: 18
Source title:
Humanizing Technology With Emotional Intelligence
Source Author(s)/Editor(s): Subrata Tikadar (Amity University, Kolkata, India), Haipeng Liu (Coventry University, UK), Pronaya Bhattacharya (Amity University Kolkata, India)and Samit Bhattacharya (Indian Institute of Technology Guwahati, India)
DOI: 10.4018/979-8-3693-7011-7.ch014
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Abstract
Smartwatch fall detection is a crucial feature that enables smartwatches to automatically detect falls using built-in sensors such as accelerometers and gyroscopes, which identify sudden changes in movement indicative of a fall. This feature is particularly significant for older adults, as it ensures prompt assistance by sending alerts to predefined contacts or emergency services upon detecting a fall. This study examines the influence of technology adoption on various psychological factors among older adults in Central Kerala. This study in Central Kerala examines how technology adoption impacts psychological factors among older adults. A survey of 511 participants used TAM, STAI, Rosenberg Self-Esteem Scale, and UTAUT2. Results show technology adoption strongly predicts performance expectancy (53.2%) and self-esteem (81.0%), and significantly predicts effort expectancy (35.6%), hedonic motivation (31.2%), and anxiety (57.2%). This highlights technology's significant influence on older adults' psychological well-being.
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