Predictors of Technology Use: Evidence from Elite Older Adults

Area of Science:

• Gerontology
• Human-Computer Interaction
• Cognitive Science

Background:

• Limited research exists on older, elite digital technology users.
• Understanding predictors of advanced technology use in this demographic is crucial.

Purpose of the Study:

• To identify factors predicting novel digital technology use in older, elite users.
• To differentiate skill requirements for basic versus advanced technology engagement.

Main Methods:

• Examined predictors of technology use in older, elite digital users.
• Assessed markers of successful aging, including cognition, socioeconomic status, and self-efficacy.

Main Results:

• Higher cognition, socioeconomic status, and self-efficacy predicted greater technology use.
• Short-term memory emerged as a critical factor for advanced technology engagement.

Conclusions:

• Successful aging markers are associated with advanced digital technology adoption in older adults.
• Cognitive skills, particularly short-term memory, are vital for higher levels of technology use.