scholarly journals Analysis of Smart Home Technology Acceptance and Preference for Elderly in Dubai, UAE

Designs ◽  
2021 ◽  
Vol 5 (4) ◽  
pp. 70
Author(s):  
Mohammad Arar ◽  
Chuloh Jung ◽  
Jihad Awad ◽  
Afaq Hyder Chohan

The elderly are the most predicted users for smart home technology in the United Arab Emirates and the population over 65 is expected to increase to 24.3% by 2030. Despite the rapid development of smart home technology, research has been mainly focused on technology development. To encourage conservative elderly users, however, smart home technology should be implemented for UAE elderly users to accept and integrate it into their daily lives. The objective of this paper is to analyze the preferences and needs of smart home technologies to understand the behaviors of UAE elderly users, and the factors affecting the acceptance of technology. As a methodology, a survey and interview were conducted for 110 people in their 40s and 60s and a total of 105 valid survey responses were collected and used as data for frequency, mean, cross-analysis, independent sample t-test, one-way variance analysis, and multiple regression analysis with IBM SPSS statistics 27. The results showed that 67.0% of UAE elderly users have chronic diseases such as high blood pressure (16.2%), heart disease (3.8%), diabetes (32.4%), or arthritis (10.5%). Therefore, smart home technology for health management is inevitable to improve overall lifestyles. It was statistically proven that UAE elderly users want automatic fall detection in the living room (39.0%) and bedroom (25.7%). Lifestyle monitoring in living room (44.7%) and bedroom (18.1%); the elderly preferred living room most for daily life assistance (36.2%), environmental control (50.5%), health and biometric monitoring (49.5%), and video conferencing (82.9%). In the case of sensors, elderly preferred the switch at the entrance (36.2%), and motion detecting sensors (42.9%), video cameras (56.2%), and voice recognition (50.5%) sensors in the living room. However, UAE elderly users do not think smart home technology can protect their privacy. It is found that age group and computer technology affinity are the most influential variables and UAE elderly users have an anxiety about technology, which influenced the acceptance of smart home technology.

2021 ◽  
Vol 5 (1) ◽  
pp. 1-12
Author(s):  
Rini Suwartika ◽  
Den Restu Singgih

The very rapid development of technology has a significant impact on human life today. The aids of facilitating human work are starting to be in great demand. Automation of tools is thought to shorten the time, be more accessible and be faster. Smart Home is one's technologies applications needed today. This study aims to designs an IoT-based innovative home prototype. The resulting intelligent home prototype uses the DHT11 sensor at a room temperature detector, the MQ-2 the sensor as a gas leak detector, an ultrasonic sensor as the object detector, the MC38 magnet sensor as door security, a relay as ON or OFF the lamp switch, buzzer as an alarm, and using a microcontroller. A nodemcu with a Wi-Fi module ESP8266 controlled via Blynk App. Research and Development (R & D) method were research method used. It is hoped that the IoT-based Smart Home technology will be provided convenience to its users in everyday life.


2020 ◽  
Vol 12 (20) ◽  
pp. 8572
Author(s):  
Eun Ji Lee ◽  
Sung Jun Park

Smart-home technology and related services can reinforce a person’s experiential nature, promoting sustainable living among the elderly. It is crucial in the housing industry that support “Aging in Place”, contributing to the contact, control, and simulation of nature at home as well as the creation of a high-quality living space instead of mechanical achievement. Further, biophilic experience, the strengthening of inherent human propensity to nature for optimal health and well-being, supports the elderly’s physical, mental, and sociological health. However, despite the continuing emphasis on the benefits of residential nature experiences for the elderly, the application of smart-home technology and services is insufficient. This study presents a theoretical basis for combining biophilia and smart-home technology, providing a framework for smart-home services to ensure elderly residents can have biophilic experiences. In this study, smart-home components and related studies that can support the biophilic experience and the corresponding technology are analyzed. The results suggest the type and content of smart-home service for ensuring a biophilic experience, while also indicating the configuration of supportive input and output devices according to the service framework. Moreover, we recommend the interaction characteristics of smart-home devices from the perspective of residents, space, efficient service provision, and physical application. This paper broadens our understanding of the sustainable, residential-environment nature experience and informs the expansion of the aged-friendly smart-home industry, contributing to smart-home services trends and development.


2021 ◽  
Vol 7 (4) ◽  
pp. 207
Author(s):  
Booi Chen Tan ◽  
Teck Chai Lau ◽  
Nasreen Khan ◽  
Wooi Haw Tan ◽  
Chee Pun Ooi

The rapid growth of the ageing population has increased the attention paid towards the provision of retirement village (RV). RV is a new form of housing on the ageing landscape that provides a full range of care from independent to assisted living to meet the diverse needs of the elderly. Numerous studies conducted in the past examined factors that influence elderly intention to relocate to the RV and the intention to adopt the smart home technology. The current study focused on the intention of elderly to relocate to the smart retirement village (SRV) (i.e., RV with the smart home technology). A customer-driven open innovation survey was conducted to solicit opinions from the elderlies. This paper applied the Theory of Planned Behavior to examine such intention among the elderly in Malaysia. The types of smart home technology preferred by the elderly at the SRV were determined. The results from the multiple regression analysis (N = 305) indicated that attitudes, social norm, and perceived behavioural control contributed significantly to the elderly intention to relocate to the SRV. Further investigation revealed that 83% of the elderly choose the smart emergency contact system as the most important smart home technology to be included.


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