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Factors Associated with Older Adults' Long-Term Use of Wearable Activity Trackers
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Factors Associated with Older Adults' Long-Term Use of Wearable Activity Trackers (2019)Factors Associated with Older Adults' Lon…Quantitative Methods for Analysing Travel Behaviour of Individuals (2021)Quantitative Methods for Anal…Trends in Seniors’ Use of Digital Health Technology in the United States, 2011-2014 (2016)Trends in Seniors’ Use of Dig…Emotions and continued usage of mobile applications (2015)Emotions and continued usage …Investigating use continuance of data mining tools (2013)Investigating use continuance…Promoting habit formation (2011)Promoting habit formationHow Habit Limits the Predictive Power of Intention: The Case of Information Systems Continuance1 (2007)How Habit Limits the Predicti…Fish’n’Steps: Encouraging Physical Activity with an Interactive Computer Game (2006)Fish’n’Steps: Encouraging Phy…Game not over: Explaining older adults’ use and intention to continue using a gamified eHealth service (2022)Game not over: Explaining old…Factors Influencing Continued Wearable Device Use in Older Adult Populations: Quantitative Study (2022)Factors Influencing Continued…Benefits of a Wearable Activity Tracker with Safety Features for Older Adults: An Intervention Study (2022)Benefits of a Wearable Activi…Adoption of Wearable Devices by Older People: Changes in Use Behaviors and User Experiences (2022)Adoption of Wearable Devices …A Co-Design Approach to Explore Health Data Representation for Older Adults in Chile and Ecuador (2022)A Co-Design Approach to Explo…Perspectives of older adults with chronic disease on the use of wearable technology and video games for physical activity (2021)Perspectives of older adults …Determinants of Continuance Intention to Use Health Apps among Users over 60: A Test of Social Cognitive Model (2021)Determinants of Continuance I…Design of an Integrated Acceptance Framework for Older Users and eHealth: Influential Factor Analysis (2021)Design of an Integrated Accep…Development and validation of brief measures of positive and negative affect: The PANAS scales. 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References

  • 2007How Habit Limits the Predictive Power of Intention: The Case of Information Systems Continuance12,320 cited
  • 2011Promoting habit formation899 cited
  • 2006Fish’n’Steps: Encouraging Physical Activity with an Interactive Computer Game853 cited
  • 2021Quantitative Methods for Analysing Travel Behaviour of Individuals569 cited
  • 2016Trends in Seniors’ Use of Digital Health Technology in the United States, 2011-2014215 cited
  • 2015Emotions and continued usage of mobile applications90 cited
  • 2013Investigating use continuance of data mining tools66 cited

Cited by

  • 2022Factors Influencing Continued Wearable Device Use in Older Adult Populations: Quantitative Study43 cited
  • 2022Adoption of Wearable Devices by Older People: Changes in Use Behaviors and User Experiences41 cited
  • 2021Determinants of Continuance Intention to Use Health Apps among Users over 60: A Test of Social Cognitive Model26 cited
  • 2022A Co-Design Approach to Explore Health Data Representation for Older Adults in Chile and Ecuador25 cited
  • 2021Perspectives of older adults with chronic disease on the use of wearable technology and video games for physical activity22 cited
  • 2021Design of an Integrated Acceptance Framework for Older Users and eHealth: Influential Factor Analysis17 cited
  • 2022Game not over: Explaining older adults’ use and intention to continue using a gamified eHealth service

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17 cited
  • 2022Benefits of a Wearable Activity Tracker with Safety Features for Older Adults: An Intervention Study16 cited