"I hope I never need one": Unpacking Stigma in Aging in Place Technology

Title of the Paper

“I hope I never need one”: Unpacking Stigma in Aging in Place Technology

Bibliographic Information

• Research Area: Human-Computer Interaction and technology adaptability for aging populations
• Keywords: Aging, Aging in Place, Older Adults, Stigma, Human-Computer Interaction, Emergency Technology, Technology Acceptance, Healthy Aging, Safety Monitoring, Affective Computing

Research Background and Issues

• Identified Problems or Challenges:

  • Aging in place technologies are designed to support older adults in maintaining independence and autonomy, but their association with negative stereotypes of aging results in low adoption rates.
  • Older adults often refuse to use or purchase these technologies because they serve as reminders of the negative aspects of aging, reinforcing physical and psychological stigma.

• Importance of the Issue:

  • With the global aging population on the rise, leveraging technology to enhance the well-being of older adults is a pressing issue.
  • Technology has significant potential to extend the period of independent living and improve quality of life for older adults. However, if stigma persists, this potential cannot be fully realized.

• Research Motivation and Related Work:

  • Existing studies have demonstrated that technology design often contributes to stigma, but research on how to reduce such stigma remains scarce.
  • This study aims to explore ways to improve the design of aging in place technologies to better meet the needs of older adults at various stages of aging while reducing stigma.

Proposed Solutions

• Research Methods:

  • The authors conducted semi-structured interviews with 18 older adults to qualitatively investigate perceptions of four different types of aging in place technologies. These technologies included active, passive, episodic, and continuous systems.

• Proposed Solutions:

  • Explore how specific design features of technologies can trigger or alleviate stigma among older adults.
  • Utilize Duner and Nordström’s coping strategy classification framework to categorize older adults’ coping strategies into active, adaptive, and passive types.
  • Examine how different technology designs can better support older adults in coping with the aging process.

• Key Technologies and Steps:

  • Scenario Design: Each technology was presented through specific application scenarios, such as responses to emergencies (e.g., falls).
  • Data Analysis: Thematic analysis was employed to code respondents’ opinions and discussions, extracting key themes.
  • Research Dimensions: Technologies were categorized and analyzed based on stigma characteristics, utility, user perceptions, and compatibility with user needs.

Research Findings

• Specific Findings:

  1. Perceptions of Technology Stigma:
     • Older adults generally perceive aging in place technologies as targeting individuals who are “frail and in need of substantial assistance,” making them feel the technologies are not suitable for themselves.
     • General-purpose technologies (e.g., smartwatches) are more acceptable to older adults compared to specialized technologies (e.g., personal alarm devices).
  2. Technology Compatibility:
     • Different types of technologies vary in their compatibility with users’ needs and stages of aging, such as:
       • Personal Emergency Response Systems (PERS): Suitable for individuals with limited mobility but some degree of independence.
       • Check-in Systems: Suitable for individuals with low technological literacy who require social interaction.
       • Home Monitoring Systems: Suitable for individuals with severe cognitive or physical impairments.

• Advantages Compared to Existing Solutions:

  • More accurately aligns technology selection with users’ actual needs and aging stages, rather than solely categorizing technologies based on hardware functionality.
  • Identifies the sources of stigma in technology design and proposes general-purpose design as a potential mitigation strategy.

• Experimental and Evaluation Results:

  • Design feature differences significantly impact technology acceptance.
  • For example, check-in systems, despite lower utility, evoke less stigma among older adults.
  • Family members are more inclined than older adults to believe monitoring technologies are necessary, highlighting the importance of bidirectional communication in technology decision-making.

• Limitations and Future Directions:

  • Limitations:
    • The study sample was restricted to small towns and rural areas in the Midwestern United States, lacking global applicability.
    • Long-term actual usage experiences of technology adoption were not addressed.
  • Future Research Directions:
    • Investigate how cultural backgrounds influence perceptions of technology stigma.
    • Design dynamic, adjustable technologies to accommodate changes in aging stages.
    • Conduct deeper research into the roles and negotiation mechanisms of family members in technology decision-making processes.

Conclusion

This paper thoroughly examines older adults’ perceptions of aging in place technologies, proposing pathways to reduce technology stigma through need-based matching and design improvements. By clearly defining the applicability of different types of technologies, the study provides a clear direction for future research and design efforts.