Coadaptation Between Smart Technologies and Older Adults Over Time: Protocol for a Scoping Review

Kokorelias, Kristina Marie; Grigorovich, Alisa; Harris, Maurita T; Rehman, Umair; Ritchie, Louise; Levy, AnneMarie; Denecke, Kerstin; McMurray, Josephine

doi:10.2196/51129

Cited by 4 publications

(1 citation statement)

References 70 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Moreover, security vulnerabilities in IoT systems [25] and ethical considerations in AI must be addressed carefully. For instance, co-adaptation between technology and the elderly is crucial for user satisfaction and long-term adoption [26]. Therefore, a person-centered approach and sufficient governance are necessary to ensure generalizability, transparency, and effectiveness [24] in implementing smart aging technologies.…”

Section: A Smart Aging Technologiesmentioning

confidence: 99%

Smarter Aging: Developing a Foundational Elderly Activity Monitoring System With AI and GUI Interface

Htet,

Zin,

Tin

et al. 2024

IEEE Access

View full text Add to dashboard Cite

The global rise in the elderly population, which presents challenges to healthcare systems owing to labor shortages in caregiving facilities, necessitates innovative solutions for elderly care services. Smart aging technologies such as robotic companions and digital home gadgets, offer a solution to these challenges by improving the elderly's quality of life and assisting caregivers. However, limitations in data privacy, real-time processing, and reliability often hinder the effectiveness of the existing technologies. Among these, privacy concerns are a major barrier to ensuring user trust and ethical implementation. Therefore, this study proposes a more effective approach for smart aging through elderly activity monitoring that prioritizes data privacy. The proposed system utilizes stereo depth cameras to monitor the activities of the elderly. Data were collected from real-world environments with the participation of six elderly individuals from a care center and hospital. This system focuses on recognizing common daily actions of the elderly including sitting, standing, lying down, and seated in a wheelchair. Additionally, it recognizes transition states (in-between actions such as changing from sitting to standing) that are crucial for assessing balance issues. By integrating motion information with a deep-learning architecture, the system achieved a high accuracy of 99.42% in recognizing daily actions in real-time. This high accuracy was maintained even with minimal data from new environments through transfer learning, and the adaptability of this model ensured its potential for real-world applications. For intuitive interaction between the caregivers and the system, a user-friendly graphical interface (GUI) was also designed in the proposed approach.

show abstract

Section: A Smart Aging Technologiesmentioning

confidence: 99%

Smarter Aging: Developing a Foundational Elderly Activity Monitoring System With AI and GUI Interface

Htet,

Zin,

Tin

et al. 2024

IEEE Access

View full text Add to dashboard Cite

show abstract

Artificial intelligence in gastroenterology: where are we and where are we going?

Lovat

2024

Gastrointestinal Nursing

View full text Add to dashboard Cite

Background: The use of artificial intelligence (AI) is rapidly advancing in gastroenterology, most notably in the area of endoscopy, but also more widely throughout the speciality. This article reviews what AI is, how it works and some of the key advances it is bringing. AI can already improve patient triage so that resources can be better targeted at sick patients. In endoscopy, AI can improve the detection of polyps during colonoscopy and the accuracy of diagnosis, while in Barrett's oesophagus, it can improve the detection of pre-cancerous dysplasia so that all endoscopists can emulate the performance of world-class experts. Systems are being developed to automate the assessment of bowel preparation quality and report writing. The power of novel generative AI such as ChatGPT could drive major improvements in communication between busy clinicians and patients. Healthcare professionals need to ensure they understand how to manage the ‘black-box’ that is AI.

show abstract

Longitudinal Coadaptation of Older Adults With Wearables and Voice-Activated Virtual Assistants: Scoping Review

Kokorelias,

Grigorovich,

Harris

et al. 2024

J Med Internet Res

View full text Add to dashboard Cite

Background The integration of smart technologies, including wearables and voice-activated devices, is increasingly recognized for enhancing the independence and well-being of older adults. However, the long-term dynamics of their use and the coadaptation process with older adults remain poorly understood. This scoping review explores how interactions between older adults and smart technologies evolve over time to improve both user experience and technology utility. Objective This review synthesizes existing research on the coadaptation between older adults and smart technologies, focusing on longitudinal changes in use patterns, the effectiveness of technological adaptations, and the implications for future technology development and deployment to improve user experiences. Methods Following the Joanna Briggs Institute Reviewer’s Manual and PRISMA-ScR (Preferred Reporting Items for Systematic Reviews and Meta-Analyses Extension for Scoping Reviews) guidelines, this scoping review examined peer-reviewed papers from databases including Ovid MEDLINE, Ovid Embase, PEDro, Ovid PsycINFO, and EBSCO CINAHL from the year 2000 to August 28, 2023, and included forward and backward searches. The search was updated on March 1, 2024. Empirical studies were included if they involved (1) individuals aged 55 years or older living independently and (2) focused on interactions and adaptations between older adults and wearables and voice-activated virtual assistants in interventions for a minimum period of 8 weeks. Data extraction was informed by the selection and optimization with compensation framework and the sex- and gender-based analysis plus theoretical framework and used a directed content analysis approach. Results The search yielded 16,143 papers. Following title and abstract screening and a full-text review, 5 papers met the inclusion criteria. Study populations were mostly female participants and aged 73-83 years from the United States and engaged with voice-activated virtual assistants accessed through smart speakers and wearables. Users frequently used simple commands related to music and weather, integrating devices into daily routines. However, communication barriers often led to frustration due to devices’ inability to recognize cues or provide personalized responses. The findings suggest that while older adults can integrate smart technologies into their lives, a lack of customization and user-friendly interfaces hinder long-term adoption and satisfaction. The studies highlight the need for technology to be further developed so they can better meet this demographic’s evolving needs and call for research addressing small sample sizes and limited diversity. Conclusions Our findings highlight a critical need for continued research into the dynamic and reciprocal relationship between smart technologies and older adults over time. Future studies should focus on more diverse populations and extend monitoring periods to provide deeper insights into the coadaptation process. Insights gained from this review are vital for informing the development of more intuitive, user-centric smart technology solutions to better support the aging population in maintaining independence and enhancing their quality of life. International Registered Report Identifier (IRRID) RR2-10.2196/51129

show abstract

Coadaptation Between Smart Technologies and Older Adults Over Time: Protocol for a Scoping Review

Cited by 4 publications

References 70 publications

Smarter Aging: Developing a Foundational Elderly Activity Monitoring System With AI and GUI Interface

Smarter Aging: Developing a Foundational Elderly Activity Monitoring System With AI and GUI Interface

Artificial intelligence in gastroenterology: where are we and where are we going?

Longitudinal Coadaptation of Older Adults With Wearables and Voice-Activated Virtual Assistants: Scoping Review

Contact Info

Product

Resources

About