https://scholars.lib.ntu.edu.tw/handle/123456789/581476
標題: | Hapticseer: A multi-channel, black-box, platform-agnostic approach to detecting video game events for real-time haptic feedback | 作者: | Lin Y.-H Wang Y.-W Ku P.-S Cheng Y.-T Hsu Y.-C Tsai C.-Y Chen M.Y. YEN-YANG CHEN |
關鍵字: | Data streams; Feedback; User interfaces; Closed source; Event detectors; Haptic devices; Haptic feedbacks; Multi channel; Open sources; Real time performance; User interface design patterns; Human computer interaction | 公開日期: | 2021 | 來源出版物: | Conference on Human Factors in Computing Systems - Proceedings | 摘要: | Haptic feedback signifcantly enhances virtual experiences. However, supporting haptics currently requires modifying the codebase, making it impractical to add haptics to popular, high-quality experiences such as best selling games, which are typically closed-source. We present HapticSeer, a multi-channel, black-box, platform-agnostic approach to detecting game events for real-time haptic feedback. The approach is based on two key insights: 1) all games have 3 types of data streams: video, audio, and controller I/O, that can be analyzed in real-time to detect game events, and 2) a small number of user interface design patterns are reused across most games, so that event detectors can be reused efectively. We developed an open-source HapticSeer framework and implemented several real-time event detectors for commercial PC and VR games. We validated system correctness and real-time performance, and discuss feedback from several haptics developers that used the HapticSeer framework to integrate research and commercial haptic devices. ? 2021 ACM. |
URI: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85106671938&doi=10.1145%2f3411764.3445254&partnerID=40&md5=7cda6b5df4fdd7130aa78108f15d3550 https://scholars.lib.ntu.edu.tw/handle/123456789/581476 |
DOI: | 10.1145/3411764.3445254 |
顯示於: | 資訊工程學系 |
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