Studying Person-Specific Pointing and Gaze Behavior for Multimodal Referencing of Outside Objects from a Moving Vehicle
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Abstract (arXiv)
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.
Key facts. Cited by 8 papers in the map (data through 14 Oct 2026). First posted on arXiv 23 Sep 2020.
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Citing papers per year: 2021: 2; 2022: 3; 2023: 2; 2024: 1.
8 papers.
- 2021ML-PersRef: A Machine Learning-based Personalized Multimodal Fusion Approach for Referencing Outside Objects From a Moving Vehiclecited by 9
- 2021Multimodal Fusion Using Deep Learning Applied to Driver's Referencing of Outside-Vehicle Objectscited by 5
- 2022Adaptive User-Centered Multimodal Interaction towards Reliable and Trusted Automotive Interfacescited by 4
- 2022What's on your mind? A Mental and Perceptual Load Estimation Framework towards Adaptive In-vehicle Interaction while Drivingcited by 3
- 2023It's all about you: Personalized in-Vehicle Gesture Recognition with a Time-of-Flight Cameracited by 2
- 2024Looking for a better fit? An Incremental Learning Multimodal Object Referencing Framework adapting to Individual Driverscited by 1
- 2022Multimodal Driver Referencing: A Comparison of Pointing to Objects Inside and Outside the Vehiclecited by 0
- 2023Adaptive User-centered Neuro-symbolic Learning for Multimodal Interaction with Autonomous Systemscited by 0
- 2024Looking for a better fit? An Incremental Learning Multimodal Object Referencing Framework adapting to Individual Drivers29 Jan 2024
- 2023It's all about you: Personalized in-Vehicle Gesture Recognition with a Time-of-Flight Camera2 Oct 2023
- 2023Adaptive User-centered Neuro-symbolic Learning for Multimodal Interaction with Autonomous Systems11 Sep 2023
- 2022Adaptive User-Centered Multimodal Interaction towards Reliable and Trusted Automotive Interfaces7 Nov 2022
- 2022What's on your mind? A Mental and Perceptual Load Estimation Framework towards Adaptive In-vehicle Interaction while Driving10 Aug 2022
- 2022Multimodal Driver Referencing: A Comparison of Pointing to Objects Inside and Outside the Vehicle15 Feb 2022
- 2021ML-PersRef: A Machine Learning-based Personalized Multimodal Fusion Approach for Referencing Outside Objects From a Moving Vehicle3 Nov 2021
- 2021Multimodal Fusion Using Deep Learning Applied to Driver's Referencing of Outside-Vehicle Objects26 Jul 2021