Ears Outside the Car: Evaluation of Binaural Vehicular Sounds and Visual Animations as Driver's Blind Spot Indicators
Authors: 
Jani Lylykangas, Ahmed Farooq, Hanna Venesvirta, Roope Raisamo, Veikko SurakkaAuthors Info & Claims
Jani Lylykangas, Ahmed Farooq, Hanna Venesvirta, Roope Raisamo, Veikko SurakkaAuthors Info & ClaimsPages 60 - 65
Abstract
Driving demands a significant amount of visual attention, which may impair drivers’ ability to detect and react to visual information such as blind spot warnings. This online pilot study (N = 242) evaluated the perception of binaural auditory cues and concurrent visual animations about overtaking vehicles designed to improve drivers’ situational awareness. The results showed that the spatial direction of the sounds was perceived in a high degree of precision, and they were rated as pleasant and natural sounding. Spatial congruency between the two information modalities was accurately perceived with visualizations rated as significantly more reliable blind spot indicators than sounds. The results suggest that spatial direction of binaural sounds can be consistently interpreted both alone and in tandem with visualizations in the given driving scenario. Binaural sounds could enhance drivers’ situational awareness in an eyes-free way to anticipate overtaking vehicles already before they trigger visual blind spot warnings.
References
[1]
Arne Bartels, Marc-Michael Meinecke, and Simon Steinmeyer. 2012. Lane change assistance. In Handbook of Intelligent Vehicles. Springer, 729–757.
[2]
Durand R Begault. 1993. Head-up auditory displays for traffic collision avoidance system advisories: A preliminary investigation. Human Factors 35, 4 (1993), 707–717.
[3]
Durand R Begault and Marc T Pittman. 1996. Three-dimensional audio versus head-down traffic alert and collision avoidance system displays. The International Journal of Aviation Psychology 6, 1 (1996), 79–93.
[4]
Durand Begault, Elizabeth M Wenzel, Martine Godfroy, Joel D Miller, and Mark R Anderson. 2010. Applying spatial audio to human interfaces: 25 years of NASA experience. In Audio Engineering Society Conference: 40th International Conference: Spatial Audio: Sense the Sound of Space, Audio Engineering Society.
[5]
Nassim Benbara, Marc Rebillat, and Nazih Mechbal. 2020. Bending waves focusing in arbitrary shaped plate-like structures: Application to spatial audio in cars. Journal of Sound and Vibration 487, (2020), 115587.
[6]
Fang Chen, Georg Qvint, and Johan Jarlengrip. 2007. Listen! there are other road users close to you–improve the traffic awareness of truck drivers. In Universal Access in Human-Computer Interaction. Ambient Interaction: 4th International Conference on Universal Access in Human-Computer Interaction, UAHCI 2007 Held as Part of HCI International 2007 Beijing, China, July 22-27, 2007 Proceedings, Part II 4, Springer, 323–329.
[7]
Jessica B Cicchino. 2018. Effects of blind spot monitoring systems on police-reported lane-change crashes. Traffic Injury Prevention 19, 6 (2018), 615–622.
[8]
Mica R Endsley. 1988. Situation awareness global assessment technique (SAGAT). In Proceedings of the IEEE 1988 national aerospace and electronics conference, IEEE, 789–795.
[9]
Nick Gang, Srinath Sibi, Romain Michon, Brian Mok, Chris Chafe, and Wendy Ju. 2018. Don't Be alarmed: Sonifying autonomous vehicle perception to increase situation awareness. In Proceedings of the 10th international conference on automotive user interfaces and interactive vehicular applications, 237–246.
[10]
Kiki van der Heijden, Josef P Rauschecker, Beatrice de Gelder, and Elia Formisano. 2019. Cortical mechanisms of spatial hearing. Nature Reviews Neuroscience 20, 10 (2019), 609–623.
[11]
Joo Young Hong, Jianjun He, Bhan Lam, Rishabh Gupta, and Woon-Seng Gan. 2017. Spatial audio for soundscape design: Recording and reproduction. Applied sciences 7, 6 (2017), 627.
[12]
Charles House, Sarah Dennison, Dylan Morgan, Nicholas Rushton, Gregory White, Jordan Cheer, and Stephen Elliott. 2017. Personal spatial audio in cars: Development of a loudspeaker array for multi-listener transaural reproduction in a vehicle. (2017).
[13]
Malik Mallem. 2010. Augmented Reality: Issues, trends and challenges. In 2010 2nd International Conference on Image Processing Theory, Tools and Applications, IEEE, 8–8.
[14]
Leo McCormack and Archontis Politis. 2019. SPARTA & COMPASS: Real-time implementations of linear and parametric spatial audio reproduction and processing methods. In Audio Engineering Society Conference: 2019 AES International Conference on Immersive and Interactive Audio, Audio Engineering Society.
[15]
Henrik Møller. 1992. Fundamentals of binaural technology. Applied Acoustics 36, 3–4 (1992), 171–218.
[16]
Thomas M Nelson and Thomy H Nilsson. 1990. Comparing headphone and speaker effects on simulated driving. Accident Analysis & Prevention 22, 6 (1990), 523–529.
[17]
Kenneth Ooi, Joo-Young Hong, Bhan Lam, Zhen Ting Ong, and Woon-Seng Gan. 2017. Validation of binaural recordings with head tracking for use in soundscape evaluation. In INTER-NOISE and NOISE-CON Congress and Conference Proceedings, 4651–4659.
[18]
Stefan Palan and Christian Schitter. 2018. Prolific. ac—A subject pool for online experiments. Journal of Behavioral and Experimental Finance 17, (2018), 22–27.
[19]
Zoltán Papp. 2012. Situational awareness in intelligent vehicles. In Handbook of Intelligent Vehicles. Springer, 62–78.
[20]
Roope Raisamo, Ismo Rakkolainen, Päivi Majaranta, Katri Salminen, Jussi Rantala, and Ahmed Farooq. 2019. Human augmentation: Past, present and future. International Journal of Human-Computer Studies 131, (2019), 131–143.
[21]
Niklas Strand, Josef Nilsson, IC MariAnne Karlsson, and Lena Nilsson. 2014. Semi-automated versus highly automated driving in critical situations caused by automation failures. Transportation Research Part F: Traffic Psychology and Behaviour 27, (2014), 218–228.
[22]
Bernhard Wandtner, Nadja Schömig, and Gerald Schmidt. 2018. Secondary task engagement and disengagement in the context of highly automated driving. Transportation Research Part F: Traffic Psychology and Behaviour 58, (2018), 253–263.
[23]
Jinke D Van Der Laan, Adriaan Heino, and Dick De Waard. 1997. A simple procedure for the assessment of acceptance of advanced transport telematics. Transportation Research Part C: Emerging Technologies 5, 1 (1997), 1–10.
[24]
MinJuan Wang, Sus Lundgren Lyckvi, Chenhui Chen, Palle Dahlstedt, and Fang Chen. 2017. Using advisory 3D sound cues to improve drivers’ performance and situation awareness. In Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems, 2814–2825.
[25]
Minjuan Wang, Yuan Liao, Sus Lundgren Lyckvi, and Fang Chen. 2020. How drivers respond to visual vs. auditory information in advisory traffic information systems. Behaviour & Information Technology 39, 12 (2020), 1308–1319.
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- Ears Outside the Car: Evaluation of Binaural Vehicular Sounds and Visual Animations as Driver's Blind Spot Indicators
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September 2023
382 pages
ISBN:9798400701122
DOI:10.1145/3581961
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Published: 18 September 2023
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AutomotiveUI '23: 15th International Conference on Automotive User Interfaces and Interactive Vehicular Applications
September 18 - 22, 2023
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