Location
Hilton Hawaiian Village, Honolulu, Hawaii
Event Website
https://hicss.hawaii.edu/
Start Date
3-1-2024 12:00 AM
End Date
6-1-2024 12:00 AM
Description
Fitness Wearable Technologies (FWT) have been analyzed as input devices for various user outcomes. However, user motives behind device usage have not been assessed from a longitudinal or stability perspective, nor have they been compared across different devices. FWT usage is frequently assumed and analyzed from the usage (act of wearing) of the device. This paper examines user motivations by analyzing user perceptions across three themes: Accomplishment (fitness goals), Health (chronic), and Social (connections with peers), espoused by wearers. The analysis is based upon Twitter theme data drawn in the samples from the spring quarter of ‘Pre, During, and Post’ “Covid” years (2019–2022). The findings reveal features of FWTs that motivate users and that users continue to embrace the use of FWTs for medical advantages and social and personal development. Additionally, sentiment analysis of the tweets across devices over the study period reveals an increase in the positive sentiment.
Recommended Citation
Sharma, Arpit; Joshi, Deepti; Money, William; and Mcwilliams, Denise, "The Effectiveness of Fitness Wearable Technologies: Applying Big-Data Techniques to Analyze User Experience and Perception" (2024). Hawaii International Conference on System Sciences 2024 (HICSS-57). 2.
https://aisel.aisnet.org/hicss-57/da/big_data_and_analytics/2
The Effectiveness of Fitness Wearable Technologies: Applying Big-Data Techniques to Analyze User Experience and Perception
Hilton Hawaiian Village, Honolulu, Hawaii
Fitness Wearable Technologies (FWT) have been analyzed as input devices for various user outcomes. However, user motives behind device usage have not been assessed from a longitudinal or stability perspective, nor have they been compared across different devices. FWT usage is frequently assumed and analyzed from the usage (act of wearing) of the device. This paper examines user motivations by analyzing user perceptions across three themes: Accomplishment (fitness goals), Health (chronic), and Social (connections with peers), espoused by wearers. The analysis is based upon Twitter theme data drawn in the samples from the spring quarter of ‘Pre, During, and Post’ “Covid” years (2019–2022). The findings reveal features of FWTs that motivate users and that users continue to embrace the use of FWTs for medical advantages and social and personal development. Additionally, sentiment analysis of the tweets across devices over the study period reveals an increase in the positive sentiment.
https://aisel.aisnet.org/hicss-57/da/big_data_and_analytics/2