{"title":"TIDAL:探索基于数据物理化的互动环境对跑步者积极性的潜在影响","authors":"Mengyan Guo, Jun Hu, Steven Vos","doi":"10.1007/s12652-024-04762-6","DOIUrl":null,"url":null,"abstract":"<p>Representing fitness-related data physically can better help people gain awareness and reflect on their physical activity behavior. However, there has been limited research conducted on the impact of physicalizing personal data in a public context, particularly regarding its effect on motivations for physical activity. Augmenting the physical environment with interactive technology holds great promise in facilitating outdoor physical activity. To explore the design space of data physicalization-based interactive environments, we created TIDAL, a design concept that provides physical rewards in the form of tiles on the road to acknowledge runners’ goal achievements. We created a video prototype as a probe to gather insights through semi-structured interviews with six recreational runners to evaluate TIDAL. The co-constructing stories method, a participatory design technique, was employed during these interviews to facilitate qualitative evaluation. The results of our study showed that TIDAL has the potential to increase runners’ motivation. We reported the key insights derived from participants’ feedback and co-constructed stories and discussed the broader implications of our work.</p>","PeriodicalId":14959,"journal":{"name":"Journal of Ambient Intelligence and Humanized Computing","volume":"23 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-03-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"TIDAL: exploring the potential of data physicalization-based interactive environment on runners' motivation\",\"authors\":\"Mengyan Guo, Jun Hu, Steven Vos\",\"doi\":\"10.1007/s12652-024-04762-6\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p>Representing fitness-related data physically can better help people gain awareness and reflect on their physical activity behavior. However, there has been limited research conducted on the impact of physicalizing personal data in a public context, particularly regarding its effect on motivations for physical activity. Augmenting the physical environment with interactive technology holds great promise in facilitating outdoor physical activity. To explore the design space of data physicalization-based interactive environments, we created TIDAL, a design concept that provides physical rewards in the form of tiles on the road to acknowledge runners’ goal achievements. We created a video prototype as a probe to gather insights through semi-structured interviews with six recreational runners to evaluate TIDAL. The co-constructing stories method, a participatory design technique, was employed during these interviews to facilitate qualitative evaluation. The results of our study showed that TIDAL has the potential to increase runners’ motivation. We reported the key insights derived from participants’ feedback and co-constructed stories and discussed the broader implications of our work.</p>\",\"PeriodicalId\":14959,\"journal\":{\"name\":\"Journal of Ambient Intelligence and Humanized Computing\",\"volume\":\"23 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-03-12\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Ambient Intelligence and Humanized Computing\",\"FirstCategoryId\":\"94\",\"ListUrlMain\":\"https://doi.org/10.1007/s12652-024-04762-6\",\"RegionNum\":3,\"RegionCategory\":\"计算机科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"Computer Science\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Ambient Intelligence and Humanized Computing","FirstCategoryId":"94","ListUrlMain":"https://doi.org/10.1007/s12652-024-04762-6","RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"Computer Science","Score":null,"Total":0}
TIDAL: exploring the potential of data physicalization-based interactive environment on runners' motivation
Representing fitness-related data physically can better help people gain awareness and reflect on their physical activity behavior. However, there has been limited research conducted on the impact of physicalizing personal data in a public context, particularly regarding its effect on motivations for physical activity. Augmenting the physical environment with interactive technology holds great promise in facilitating outdoor physical activity. To explore the design space of data physicalization-based interactive environments, we created TIDAL, a design concept that provides physical rewards in the form of tiles on the road to acknowledge runners’ goal achievements. We created a video prototype as a probe to gather insights through semi-structured interviews with six recreational runners to evaluate TIDAL. The co-constructing stories method, a participatory design technique, was employed during these interviews to facilitate qualitative evaluation. The results of our study showed that TIDAL has the potential to increase runners’ motivation. We reported the key insights derived from participants’ feedback and co-constructed stories and discussed the broader implications of our work.
期刊介绍:
The purpose of JAIHC is to provide a high profile, leading edge forum for academics, industrial professionals, educators and policy makers involved in the field to contribute, to disseminate the most innovative researches and developments of all aspects of ambient intelligence and humanized computing, such as intelligent/smart objects, environments/spaces, and systems. The journal discusses various technical, safety, personal, social, physical, political, artistic and economic issues. The research topics covered by the journal are (but not limited to):
Pervasive/Ubiquitous Computing and Applications
Cognitive wireless sensor network
Embedded Systems and Software
Mobile Computing and Wireless Communications
Next Generation Multimedia Systems
Security, Privacy and Trust
Service and Semantic Computing
Advanced Networking Architectures
Dependable, Reliable and Autonomic Computing
Embedded Smart Agents
Context awareness, social sensing and inference
Multi modal interaction design
Ergonomics and product prototyping
Intelligent and self-organizing transportation networks & services
Healthcare Systems
Virtual Humans & Virtual Worlds
Wearables sensors and actuators