Studying Person-Specific Pointing and Gaze Behavior for Multimodal Referencing of Outside Objects from a Moving Vehicle

Amr Gomaa; Guillermo Reyes; Alexandra Alles; Lydia Rupp; Michael Feld

In: ICMI '20: International Conference on Multimodal Interaction. ACM International Conference on Multimodal Interaction (ICMI-2020), located at 22nd ACM International Conference on Multimodal Interaction, October 25-29, Utrecht (Virtual Event), Netherlands, ISBN 978-1-4503-7581-8, Association for Computing Machinery (ACM), 10/2020.


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.


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Studying_Person-Specific_Pointing_and_Gaze_Behavior.pdf (pdf, 2 MB )

Deutsches Forschungszentrum für Künstliche Intelligenz
German Research Center for Artificial Intelligence