Please use this identifier to cite or link to this item:
http://hdl.handle.net/1942/43343
Title: | Boosting Motivation in Sports with Data-Driven Visualizations in VR | Authors: | GEURTS, Eva Warson, Dieter ROVELO RUIZ, Gustavo |
Issue Date: | 2024 | Publisher: | ACM | Source: | AVI '24: Proceedings of the 2024 International Conference on Advanced Visual Interfaces, ACM, (Art N° 20) | Abstract: | In recent years, the integration of Artificial Intelligence (AI) has sparked revolutionary progress across diverse domains, with sports applications being no exception. At the same time, using real-world data sources, such as GPS, weather, and traffic data, offers opportunities to improve the overall user engagement and effectiveness of such applications. Despite the substantial advancements, including proven success in mobile applications, there remains an untapped potential in leveraging these technologies to boost motivation and enhance social group dynamics in Virtual Reality (VR) sports solutions. Our innovative approach focuses on harnessing the power of AI and real-world data to facilitate the design of such VR systems. To validate our methodology, we conducted an exploratory study involving 18 participants, evaluating our approach within the context of indoor VR cycling. By incorporating GPX files and om-nidirectional video (real-world data), we recreated a lifelike cycling environment in which users can compete with simulated cyclists navigating a chosen (real-world) route. Considering the user's performance and interactions with other cyclists, our system employs AI-driven natural language processing tools to generate encouraging and competitive messages automatically. The outcome of our study reveals a positive impact on motivation, competition dynamics , and the perceived sense of group dynamics when using real performance data alongside automatically generated motivational messages. This underscores the potential of AI-driven enhancements in user interfaces to not only optimize performance but also foster a more engaging and supportive sports environment. Figure 1: Our conceptual approach using real-world data (GPX files, 360-degree video) and large language models (e.g. ChatGPT) fostering social interaction in VR sports. | Keywords: | CCS CONCEPTS • Human-centered computing → Visualization techniques; Interactive systems and tools KEYWORDS Visualizations;User Interface;Virtual Reality;Sports;Cycling;Asyn- chronous social interaction;Large Language Models;Real-world data;Artificial Intelligence;eXtended Reality | Document URI: | http://hdl.handle.net/1942/43343 | ISBN: | 979-8-4007-1764-2/24/06 | DOI: | 10.1145/3656650.3656669 | Category: | C1 | Type: | Proceedings Paper |
Appears in Collections: | Research publications |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
avi2024-19.pdf | Peer-reviewed author version | 1.35 MB | Adobe PDF | View/Open |
3656650.3656669.pdf Restricted Access | Early view | 1.34 MB | Adobe PDF | View/Open Request a copy |
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.