標題: Lost in Style: Gaze-driven Adaptive Aid for VR Navigation
作者: Alghofaili, Rawan
Sawahata, Yasuhito
Huang, Haikun
Wang, Hsueh-Cheng
Shiratori, Takaaki
Yu, Lap-Fai
交大名義發表
National Chiao Tung University
關鍵字: Games/Play;Virtual/Augmented Reality;Eye Tracking
公開日期: 1-Jan-2019
摘要: A key challenge for virtual reality level designers is striking a balance between maintaining the immersiveness of VR and providing users with on-screen aids after designing a virtual experience. These aids are often necessary for wayfinding in virtual environments with complex paths. We introduce a novel adaptive aid that maintains the effectiveness of traditional aids, while equipping designers and users with the controls of how often help is displayed. Our adaptive aid uses gaze patterns in predicting user's need for navigation aid in VR and displays mini-maps or arrows accordingly. Using a dataset of gaze angle sequences of users navigating a VR environment and markers of when users requested aid, we trained an LSTM to classify user's gaze sequences as needing navigation help and display an aid. We validated the efficacy of the adaptive aid for wayfinding compared to other commonly-used wayfinding aids.
URI: http://dx.doi.org/10.1145/3290605.3300578
http://hdl.handle.net/11536/152113
ISBN: 978-1-4503-5970-2
DOI: 10.1145/3290605.3300578
期刊: CHI 2019: PROCEEDINGS OF THE 2019 CHI CONFERENCE ON HUMAN FACTORS IN COMPUTING SYSTEMS
起始頁: 0
結束頁: 0
Appears in Collections:Conferences Paper