10,000 Steps a Day for Health? User-based Evaluation of Wearable Activity Trackers
1. 10,000 Steps a Day for Health?
User-based Evaluation of Wearable Activity Trackers
Aylin Ilhan and Maria Henkel
Department of Information Science
Heinrich Heine University DĂŒsseldorf, Germany
HICSS-51, 03. â 06. January 2018, Hilton Waikoloa Village
18. 9
D2:
User
D1:
Perceived Service Quality
D3:
Service Acceptance
RQ1a: What strengths and weaknesses are recognized by the participants (D1 & D3)?
Ease of Use
Usefulness
Trust
Fun
Gamification
Opting-Out
Medical Health Funds Reduce Medical Costs
Use
Impact
Dissemination
Contagion
Group Pressure
Enforcement
19. 10
D2:
User
D1:
Perceived Service Quality
D3:
Service Acceptance
RQ1b: How do perceived service quality and acceptance of activity trackers
influence each other (D1 & D3)?
Ease of Use
Usefulness
Trust
Fun
Gamification
Opting-Out
Medical Health Funds Reduce Medical Costs
Use
Impact
Dissemination
Contagion
Group Pressure
Enforcement
20. 11
D2:
User
D1:
Perceived Service Quality
D3:
Service Acceptance
RQ2: Country-specific differences based on perceived service quality and acceptance,
regarding activity trackers (D1& D3)?
Ease of Use
Usefulness
Trust
Fun
Gamification
Opting-Out
Medical Health Funds Reduce Medical Costs
Use
Impact
Dissemination
Contagion
Group Pressure
Enforcement
21. 12
D2:
User
D1:
Perceived Service Quality
D3:
Service Acceptance
RQ3: Country-specific differences based on medical health funds and reducing medical
costs, regarding sharing activity data?
Ease of Use
Usefulness
Trust
Fun
Gamification
Use Opting-Out
Impact
Dissemination
Contagion
Group Pressure
Enforcement
Medical Health Funds Reduce Medical Costs
51. Next steps
34
âą Understanding of country-specific differences related to medical
health insurances requires more American and international participants
âą Deeper analysis of different medical health insurance funds
âą Qualitative interviews
âą Analysis of different generations (Generation X, Generation Y, Generation Z,
Baby boomers)