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Technology to Support Aging in Place: Older Adults' Perspectives
Shengzhi Wang1, Khalisa Bolling2, Wenlin Mao3
1The Design Lab, Computer Science and Engineering, Jacobs School of Engineering, UC San Diego, La Jolla, CA 92093, USA. shw198@ucsd.edu.
This study explores how older adults view modern assistive technologies like robots and artificial intelligence. By conducting focus groups with retirement community residents, researchers identified that while physical and literacy barriers exist, seniors are eager to participate in designing tools that help them live independently while respecting their privacy.
Area of Science:
- Gerontology and assistive technology research within Internet of things (IoT) application fields
- Human-computer interaction and user-centered design paradigms
Background:
The rapid growth of the elderly demographic creates a pressing need for effective support systems. Most seniors express a strong desire to remain within their own homes as they age. Emerging digital tools offer potential solutions for maintaining autonomy during these later years. However, current development cycles often ignore the specific requirements of this user group. This disconnect frequently results in tools that fail to meet the actual needs of older individuals. No prior work had fully resolved how top-down engineering strategies contribute to these persistent adoption failures. That uncertainty drove the need to investigate user perspectives directly. This research addresses the gap by examining how seniors perceive automated assistance and intelligent systems.
Purpose Of The Study:
The study aims to identify older adults' perspectives regarding assistive technologies and gauge their interest in co-design processes. This research addresses the persistent mismatch between top-down design strategies and the actual needs of seniors. The authors seek to understand the specific barriers that hinder the adoption of intelligent systems in home settings. By exploring privacy attitudes, the team intends to clarify how seniors balance security with the benefits of automation. The investigation also examines the facilitators that encourage older individuals to engage with new digital tools. This work is motivated by the increasing need for solutions that support aging in place effectively. The researchers intend to inform future development by highlighting the necessity for improved aging literacy among technologists. This effort provides a foundation for more inclusive and user-focused engineering practices in the future.
Main Methods:
The investigation employed a user-centered design framework to capture perspectives from retirement community residents. Researchers conducted two separate 90-minute focus group sessions to facilitate in-depth discussions. A survey instrument gathered demographic information and baseline privacy attitudes from all participants. The team utilized semi-structured interviews to explore barriers and facilitators regarding digital tool adoption. All audio recordings underwent professional transcription to ensure accuracy for subsequent analysis. The review approach involved coding transcripts to extract recurring themes and patterns. Quantitative information underwent descriptive statistical processing to summarize the participant characteristics. This multi-method strategy allowed for a comprehensive understanding of the participants' views on co-design participation.
Main Results:
Key findings from the literature indicate that physical challenges and low digital literacy represent significant obstacles to technology adoption. Participants frequently cited a lack of familiarity with technical terminology as a primary barrier. Conversely, an eagerness to learn and a desire for data control emerged as strong facilitators. Most individuals identified as privacy pragmatics or fundamentalists, emphasizing that security remains a high priority. Despite these concerns, the majority expressed a willingness to contribute to the co-design of future assistive tools. The study revealed that seniors are highly motivated to use systems that promote independent living. These results highlight a clear interest in participating in the development process. The data suggest that addressing both user and developer literacy is essential for successful implementation.
Conclusions:
The authors suggest that bridging the knowledge divide requires mutual education between developers and seniors. Synthesis and implications indicate that technologists must improve their understanding of the aging process. Simultaneously, older individuals require better access to educational resources regarding modern digital terminology. The findings imply that privacy concerns do not necessarily preclude active participation in technology development. Researchers propose that seniors are willing to contribute their expertise to improve future design outcomes. The evidence highlights that privacy pragmatism is a common stance among this population. This work suggests that collaborative efforts can lead to more effective and user-friendly assistive solutions. The study concludes that inclusive development strategies are necessary to support independent living effectively.
Frequently Asked Questions
The researchers propose that barriers include limited digital literacy and physical impairments, while facilitators involve a strong desire for autonomy and willingness to learn. Participants expressed interest in contributing to the development process to ensure tools meet their specific needs.
The study utilized Ambient/Active Assisted Living (AAL) robots and artificial intelligence systems as the primary examples of technologies designed to support independent living in home environments. These tools were presented to participants to gauge their interest and potential concerns regarding daily usage.
A convenience sample of 31 residents from a retirement community was necessary to ensure a focused discussion on the lived experiences of older adults. This group provided the qualitative depth required to understand privacy attitudes and co-design interest in a controlled setting.
Quantitative data were collected via surveys to capture demographic profiles and baseline privacy attitudes. These metrics provided a structured foundation for interpreting the qualitative themes that emerged during the semi-structured group interviews.
The authors measured privacy attitudes by categorizing participants into groups such as privacy pragmatics and fundamentalists. This classification revealed that while security is a priority, individuals remain open to sharing data if it directly supports their independence.
The researchers propose that developers must increase their aging literacy to create more effective tools. This implies that future design cycles should prioritize collaborative input from seniors to ensure that products align with their actual capabilities and preferences.
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