Dual focus of Technology Acceptance and TechnologyResistant Model: Deep Learning Approach

Abstract Digital health care is becoming increasingly important, and the possibilities and chances of digital health care for elderly people are particularly high.There is a substantial part of the elderly population that does not use theinformation technology, which is a precondition for using digital health careservices. In this piece, elderly person’s acceptance to use and resistant to useof such technologies remain an open-ended research problem. The study aimsto develop an integrated model based on a human-centric perspective, sociotechnical characteristics, and aging specific constructs to offer a more accurateindulgent of consumer acceptance or resistance of technology in the aspect ofelderly context. The study integrated Theory of Planned Behavior, Status quobias, Equity-implementation model and Unified Theory of Acceptance and Useof Technology2 model to come up with a dual phenomenon conceptual modelof technology acceptance and resistance. Two-phased multi-analytical models were used. The scope of the study included older adults (people aged 65years or older) in Sri Lanka. The multiple regression analysis and Model 4 ofthe PROCESS macro results revealed that human centric, socio technical andaging specific factors significantly influence on elders to use technology; interestedly, human-centric factors negatively influenced. Moreover, socio-technicalfactor was not a significant predictor in elders’ resistant to use technology. The mediating analysis results showed that propensity related to technology was asignificant mediator on the relationships between Human centric and Technology use; Aging specific and Technology use; Human centric and Resist usingtechnology; and Aging specific and Resist using technology. Thereafter, thedata is trained and tested using a deep learning approach. The model can performed F-measure of 72.85% for predicting technology acceptance or rejection.Technology has been advancing at a faster speed than we have ever imagined.Understanding personal variables such as human-centric and aging specific thataffect the adaptation and resistant process in technology provides valuable information for developers and social planners in the design and execution oftechnology for the elder community