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Studying Person-Specific Pointing and Gaze Behavior for Multimodal Referencing of Outside Objects from a Moving Vehicle
arXiv - CS - Human-Computer Interaction Pub Date : 2020-09-23 , DOI: arxiv-2009.11195 Amr Gomaa, Guillermo Reyes, Alexandra Alles, Lydia Rupp and Michael Feld
arXiv - CS - Human-Computer Interaction Pub Date : 2020-09-23 , DOI: arxiv-2009.11195 Amr Gomaa, Guillermo Reyes, Alexandra Alles, Lydia Rupp and Michael Feld
Hand pointing and eye gaze have been extensively investigated in automotive
applications for object selection and referencing. Despite significant
advances, existing outside-the-vehicle referencing methods consider these
modalities separately. Moreover, existing multimodal referencing methods focus
on a static situation, whereas the situation in a moving vehicle is highly
dynamic and subject to safety-critical constraints. In this paper, we
investigate the specific characteristics of each modality and the interaction
between them when used in the task of referencing outside objects (e.g.
buildings) from the vehicle. We furthermore explore person-specific differences
in this interaction by analyzing individuals' performance for pointing and gaze
patterns, along with their effect on the driving task. Our statistical analysis
shows significant differences in individual behaviour based on object's
location (i.e. driver's right side vs. left side), object's surroundings,
driving mode (i.e. autonomous vs. normal driving) as well as pointing and gaze
duration, laying the foundation for a user-adaptive approach.
中文翻译:
研究来自移动车辆的外部对象多模态参考的特定于人的指向和凝视行为
手指向和眼睛注视已在汽车应用中广泛研究用于对象选择和参考。尽管取得了重大进展,但现有的车外参考方法仍单独考虑这些模式。此外,现有的多模态参考方法侧重于静态情况,而移动车辆中的情况是高度动态的并且受到安全关键约束。在本文中,我们研究了每种模态的具体特征以及它们在从车辆引用外部物体(例如建筑物)的任务中使用时它们之间的相互作用。我们还通过分析个人在指向和凝视模式方面的表现以及它们对驾驶任务的影响,进一步探索了这种交互中特定于个人的差异。
更新日期:2020-09-24
中文翻译:
研究来自移动车辆的外部对象多模态参考的特定于人的指向和凝视行为
手指向和眼睛注视已在汽车应用中广泛研究用于对象选择和参考。尽管取得了重大进展,但现有的车外参考方法仍单独考虑这些模式。此外,现有的多模态参考方法侧重于静态情况,而移动车辆中的情况是高度动态的并且受到安全关键约束。在本文中,我们研究了每种模态的具体特征以及它们在从车辆引用外部物体(例如建筑物)的任务中使用时它们之间的相互作用。我们还通过分析个人在指向和凝视模式方面的表现以及它们对驾驶任务的影响,进一步探索了这种交互中特定于个人的差异。