Towards Sound-based Crowd Management: Investigating Sonification for Pedestrian Steering

Toros Senan; Alessandro Corbetta; Bart Hengeveld

doi:10.1145/3561212.3561233

Towards Sound-based Crowd Management: Investigating Sonification for Pedestrian Steering

Toros Senan, Alessandro Corbetta, Bart Hengeveld

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

4 Citations (Scopus)

78 Downloads (Pure)

Abstract

Enabling automated and non-intrusive management of pedestrian flows can help unlock intelligent public environments to maximize individual comfort and wayfinding efficiency. An effective option for this purpose is using dynamic nudging stimuli generated through the use of smart technologies. For this purpose, recent experimental studies have considered visual stimuli to steer pedestrians into alternative walking routes. This research lays the basis for using sonification as a pedestrian flow nudging mechanism. We have developed and deployed a spatialized dynamic sonification to nudge between alternative walking patterns in a real-life work environment endowed with highly accurate and automated pedestrian tracking. In this paper, we report on our preliminary nudging results showing that sound can alter the typical walking trajectories, yet counterintuitively.

Original language	English
Title of host publication	Proceedings of the 17th International Audio Mostly Conference
Subtitle of host publication	What You Hear is What You See? Perspectives on Modalities in Sound and Music Interaction, AM 2022
Place of Publication	New York
Publisher	Association for Computing Machinery, Inc
Pages	32-35
Number of pages	4
ISBN (Electronic)	978-1-4503-9701-8
DOIs	https://doi.org/10.1145/3561212.3561233
Publication status	Published - 10 Oct 2022
Event	17th International Audio Mostly Conference, AM'22 - St. Pölten, Austria Duration: 6 Sept 2022 → 9 Sept 2022 Conference number: 17

Publication series

Name	ACM International Conference Proceeding Series

Conference

Conference	17th International Audio Mostly Conference, AM'22
Abbreviated title	AM'22
Country/Territory	Austria
City	St. Pölten
Period	6/09/22 → 9/09/22

Keywords

Automated crowd management
Living-labs
Pedestrian tracking
Sonification

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10.1145/3561212.3561233

pdfFinal published version, 2.29 MBLicence: CC BY

Cite this

Senan, T., Corbetta, A., & Hengeveld, B. (2022). Towards Sound-based Crowd Management: Investigating Sonification for Pedestrian Steering. In Proceedings of the 17th International Audio Mostly Conference: What You Hear is What You See? Perspectives on Modalities in Sound and Music Interaction, AM 2022 (pp. 32-35). (ACM International Conference Proceeding Series). Association for Computing Machinery, Inc. https://doi.org/10.1145/3561212.3561233

Senan, Toros ; Corbetta, Alessandro ; Hengeveld, Bart. / Towards Sound-based Crowd Management : Investigating Sonification for Pedestrian Steering. Proceedings of the 17th International Audio Mostly Conference: What You Hear is What You See? Perspectives on Modalities in Sound and Music Interaction, AM 2022. New York : Association for Computing Machinery, Inc, 2022. pp. 32-35 (ACM International Conference Proceeding Series).

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title = "Towards Sound-based Crowd Management: Investigating Sonification for Pedestrian Steering",

abstract = "Enabling automated and non-intrusive management of pedestrian flows can help unlock intelligent public environments to maximize individual comfort and wayfinding efficiency. An effective option for this purpose is using dynamic nudging stimuli generated through the use of smart technologies. For this purpose, recent experimental studies have considered visual stimuli to steer pedestrians into alternative walking routes. This research lays the basis for using sonification as a pedestrian flow nudging mechanism. We have developed and deployed a spatialized dynamic sonification to nudge between alternative walking patterns in a real-life work environment endowed with highly accurate and automated pedestrian tracking. In this paper, we report on our preliminary nudging results showing that sound can alter the typical walking trajectories, yet counterintuitively.",

keywords = "Automated crowd management, Living-labs, Pedestrian tracking, Sonification",

author = "Toros Senan and Alessandro Corbetta and Bart Hengeveld",

year = "2022",

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publisher = "Association for Computing Machinery, Inc",

pages = "32--35",

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note = "17th International Audio Mostly Conference, AM'22, AM'22 ; Conference date: 06-09-2022 Through 09-09-2022",

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Senan, T, Corbetta, A & Hengeveld, B 2022, Towards Sound-based Crowd Management: Investigating Sonification for Pedestrian Steering. in Proceedings of the 17th International Audio Mostly Conference: What You Hear is What You See? Perspectives on Modalities in Sound and Music Interaction, AM 2022. ACM International Conference Proceeding Series, Association for Computing Machinery, Inc, New York, pp. 32-35, 17th International Audio Mostly Conference, AM'22, St. Pölten, Austria, 6/09/22. https://doi.org/10.1145/3561212.3561233

Towards Sound-based Crowd Management: Investigating Sonification for Pedestrian Steering. / Senan, Toros; Corbetta, Alessandro ; Hengeveld, Bart.
Proceedings of the 17th International Audio Mostly Conference: What You Hear is What You See? Perspectives on Modalities in Sound and Music Interaction, AM 2022. New York: Association for Computing Machinery, Inc, 2022. p. 32-35 (ACM International Conference Proceeding Series).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

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AU - Corbetta, Alessandro

AU - Hengeveld, Bart

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N2 - Enabling automated and non-intrusive management of pedestrian flows can help unlock intelligent public environments to maximize individual comfort and wayfinding efficiency. An effective option for this purpose is using dynamic nudging stimuli generated through the use of smart technologies. For this purpose, recent experimental studies have considered visual stimuli to steer pedestrians into alternative walking routes. This research lays the basis for using sonification as a pedestrian flow nudging mechanism. We have developed and deployed a spatialized dynamic sonification to nudge between alternative walking patterns in a real-life work environment endowed with highly accurate and automated pedestrian tracking. In this paper, we report on our preliminary nudging results showing that sound can alter the typical walking trajectories, yet counterintuitively.

AB - Enabling automated and non-intrusive management of pedestrian flows can help unlock intelligent public environments to maximize individual comfort and wayfinding efficiency. An effective option for this purpose is using dynamic nudging stimuli generated through the use of smart technologies. For this purpose, recent experimental studies have considered visual stimuli to steer pedestrians into alternative walking routes. This research lays the basis for using sonification as a pedestrian flow nudging mechanism. We have developed and deployed a spatialized dynamic sonification to nudge between alternative walking patterns in a real-life work environment endowed with highly accurate and automated pedestrian tracking. In this paper, we report on our preliminary nudging results showing that sound can alter the typical walking trajectories, yet counterintuitively.

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KW - Living-labs

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Senan T, Corbetta A , Hengeveld B. Towards Sound-based Crowd Management: Investigating Sonification for Pedestrian Steering. In Proceedings of the 17th International Audio Mostly Conference: What You Hear is What You See? Perspectives on Modalities in Sound and Music Interaction, AM 2022. New York: Association for Computing Machinery, Inc. 2022. p. 32-35. (ACM International Conference Proceeding Series). doi: 10.1145/3561212.3561233

Towards Sound-based Crowd Management: Investigating Sonification for Pedestrian Steering

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