Facilitating Physical Activity through On-Site Quantified-Self Data Sharing

Abstract

With the development of sensing technology and the popularization of quantified-self devices, there are increasing types of health-related data that can be sensed, visualized and presented to the user. However, most existing quantified-self applications are designed to support self-management and self-reflection; only a few studies so far have investigated the social aspect of quantified-self data. In this study, we investigated the social role of quantified-self data by introducing the design and evaluation of SocialBike—a digitally augmented bicycle that aims to increase the user’s intrinsic motivation in physical activity through on-site quantified-self data sharing. We conducted a controlled experiment on a cycling simulation system. Two forms of SocialBike’s on-bike display were evaluated with 36 participants. We used the Intrinsic Motivation Inventory to collect quantitative data about users’ intrinsic motivation in physical activity; the cycling simulation system recorded quantitative data about user behavior. Qualitative data was collected through semi-structured interviews. We conducted paired sample t-test to analyze both types of quantitative data; qualitative data were analyzed by the method of thematic analysis. The results show that SocialBike’s front display significantly increased users’ intrinsic motivation in physical activity. A total of nine themes were identified from the qualitative analysis, providing supplementary explanations for the quantitative results and additional insights into the overall design.

Evaluating the Determinants of Young Runners' Continuance Intentions toward Wearable Devices

“…In addition to individual support, some wearable device applications incorporate built-in social features. Yang et al discovered that through the front display screen of SocialBike, cyclists can share competitor data, perceive the presence of rivals, and enhance their intrinsic motivation during cycling [52].…”

Research on the Connotation and Dimension of Consumers’ Quantified-Self Consciousness

“…From the perspective of individual cognitive differences, scholars Li and Zhang deeply studied the psychological mechanism of the effect of the quantified self on consumers' activity participation behavior [26]. Yang (2020) and other scholars focused on the social attributes of quantified-self data and found that bicycle users can perceive the existence of competitors through competitor data-sharing while riding and can enhance the intrinsic motivation of cycling [27].…”

Evolution and Emerging Trends of Kansei Engineering: A Visual Analysis Based on CiteSpace

“…Second, since the last century, KE researchers have devoted themselves to collecting and establishing massive user databases [24], which not only have the functions of storage and query but also provide data visualization, virtual product design, design scheme evaluation, and other functions [25]. Furthermore, feedback and evaluation methods of design schemes are commonly used by researchers and are continuously released to the public [26].…”