Technology Adoption and Learning Preferences for Older Adults: Evolving Perceptions, Ongoing Challenges, and Emerging Design Opportunities

Title of the Paper

"Technology Adoption and Learning Preferences for Older Adults: Evolving Perceptions, Ongoing Challenges, and Emerging Design Opportunities"

Paper Information

• Research Domain: HCI (Human-Computer Interaction), Technology Adoption and Learning Methods for Older Adults
• Keywords: Older adults, learning, large-screen displays, smartwatches, tablet devices, user manuals, digital health, wearable devices

Research Background and Issues

• Identified Problems and Challenges:

  1. Although older adults have shown increased acceptance of mainstream technologies such as smartphones and tablets, their adoption of next-generation technologies (e.g., smartwatches) remains in its early stages.
  2. As technological complexity increases (e.g., device configuration and pairing with other devices), older adults face greater challenges during initial setup and learning processes.
  3. Traditional learning resources (e.g., user manuals) no longer meet the needs of older users, who increasingly demand personalized and flexible learning support.
  4. Social and psychological factors (e.g., hesitation to rely on family member support) influence older users' methods of technology adoption and learning.

• Significance of the Study:
  Older adults are an integral part of the digital society. Exploring methods to support their learning and adaptation to new technologies not only encourages healthy behaviors and independence but also helps reduce reliance on social and familial support.

• Motivation and Related Work:

  1. Previous research primarily focused on the basic functionalities of mainstream technologies, but the unique features of new technologies (e.g., advanced health monitoring) have created new research demands.
  2. Investigating the evolution of older adults' technology learning preferences, particularly as new technologies permeate their lives.
  3. Examining the specific role of social support in technology adoption, including its benefits and potential "social pressure."

Proposed Solutions

• Methods and Solutions:
  This study proposes "Help Kiosk 2.0," a prototype system encompassing various learning support methods to assist older adults in independent technology learning and problem-solving. It integrates multiple learning approaches, including:

  • Online search (e.g., Google search engine);
  • Step-by-step instruction manuals;
  • Trial-and-error mechanisms (with feedback);
  • Real-time remote assistance (video chat and screen sharing).

• Innovations:

  1. Integrating multiple learning resources into a single interface to simplify the learning process;
  2. Utilizing a 40-inch desktop touchscreen display to reduce distractions and provide visual guidance;
  3. Simulating the actual operational environment of older adults by designing video prototypes to explore user needs rather than blindly developing complex systems.

• Implementation Steps:

  1. Phase One: Preliminary research, including online questionnaires and semi-structured interviews, to analyze older adults' existing technology usage habits and learning needs.
  2. Phase Two: Developing video prototypes (Help Kiosk 2.0) to simulate user interaction scenarios, conducting detailed interviews to gain deeper insights into learning preferences.

Research Outcomes

• Specific Findings:

  1. Confirmed that older adults increasingly prefer independent learning support, such as trial-and-error and search engines, while their demand for traditional instruction manuals has significantly declined.
  2. Using video design probes, revealed strong user recognition of integrated learning support systems (e.g., Google search, video tutorials, remote assistance, and screen sharing).
  3. Highlighted barriers to the adoption of next-generation devices (e.g., smartwatches), including small screen sizes, high costs, and overlapping functionalities with existing devices.

• Advantages Compared to Existing Solutions:

  1. Diverse learning modes: not limited to instruction manuals but also incorporating real-time assistance and contextual interaction;
  2. Focus on user experience during the design phase, closely aligning with actual usage scenarios;
  3. Exploration of flexible learning content adaptation (progressive learning), ensuring gradual acceptance of new technologies.

• Experimental or Evaluation Results:

  • Data indicated that trial-and-error and search engines have become the preferred methods for older adults to learn new technologies.
  • The video prototype of Help Kiosk 2.0 received positive feedback from users, especially regarding their strong interest in screen sharing and real-time assistance.

• Limitations and Future Directions:

  1. The video prototype cannot fully test user interaction behaviors in real usage scenarios, necessitating further development of an operational system;
  2. Commercializing large-screen applications faces cost-related challenges;
  3. Future research could explore seamless designs integrating sensors into everyday items for older adults (e.g., glasses, shoes);
  4. Investigating the construction of personalized guidance content and iterative learning support strategies.