Methods of Gently Notifying Pedestrians of Approaching
Objects when Listening to Music
Yuki Sakashita Yoshio Ishiguro Kento Ohtani
sakashita.yuki@g.sp.m.is.nagoya- ishiy@acm.org ohtani.kento@g.sp.m.is.nagoya-
u.ac.jp Nagoya University u.ac.jp
Nagoya University Tier IV, Inc. Nagoya University
Nagoya, Aichi, Japan Nagoya, Aichi, Japan Nagoya, Aichi, Japan
Takanori Nishino Kazuya Takeda
nishino@meijo-u.ac.jp kazuya.takeda@nagoya-u.jp
Meijo University Nagoya University
Nagoya, Aichi, Japan Tier IV, Inc.
Nagoya, Aichi, Japan
ABSTRACT
Many people now listen to music with earphones while walking,
and are less likely to notice approaching people, cars, etc. Many
methods of detecting approaching objects and notifying pedestri-
ans have been proposed, but few have focused on low urgency
situations or music listeners, and many notifcation methods are
unpleasant. Therefore, in this work, we propose methods of gently
notifying pedestrians listening to music of approaching objects
using environmental sound. We conducted experiments in a virtual
environment to assess directional perception accuracy and comfort.
Our results show the proposed method allows participants to de-
tect the direction of approaching objects as accurately as explicit
notifcation methods, with less discomfort.
CCS CONCEPTS
• Human-centered computing → Auditory feedback.
KEYWORDS
Auditory Display, Directional Information Presentation, Sound Lo-
calization, Environmental Sound
ACM Reference Format:
Yuki Sakashita, Yoshio Ishiguro, Kento Ohtani, Takanori Nishino, and Kazuya
Takeda. 2022. Methods of Gently Notifying Pedestrians of Approaching
Objects when Listening to Music. In The Adjunct Publication of the 35th
Annual ACM Symposium on User Interface Software and Technology (UIST
’22 Adjunct), October 29-November 2, 2022, Bend, OR, USA. ACM, New York,
NY, USA, 4 pages. https://doi.org/10.1145/3526114.3558728
1 INTRODUCTION
More people are listening to music using earphones or headphones
while walking, reducing awareness of their surroundings [12]. Al-
though functions that capture external sounds (e.g., ambient sound
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UIST ’22 Adjunct, October 29-November 2, 2022, Bend, OR, USA
mode [8]) are widely used to address this problem, it remains dif-
cult to perceive the approach of people, bicycles, or automobiles
when listening to music, resulting in obstruction of or collisions
with, other users of roads and sidewalks.
Many methods have been proposed for detecting surrounding
objects and notifying pedestrians of their approach. However, some
are unsuitable for detecting quietly approaching objects [13], while
others require additional devices for notifcation by tactile stim-
uli [2, 6]. Many are designed for urgent situations and use jarring
notifcation sounds like beeps [5], which may be annoying in non-
emergency situations. Furthermore, the accuracy of directional
perception when using less intrusive sounds during music listen-
ing has not been evaluated. Some methods tweak the music itself,
afecting the music listening experience [3, 4, 10].
Our end goal is to develop a device that allows pedestrians to
enjoy music to the maximum, safely and without disturbing other
trafc. To achieve this goal, we propose detecting approaching ob-
jects and varying the notifcation method according to the situation,
giving gentler notifcations in less urgent situations. In this poster,
as the frst step, we proposed methods to present environmental
sounds from only the direction of an object approaching with envi-
ronmental sounds blocked and made the following contributions.
• Verifcation of the directional perception accuracy of several
environmental sound notifcation methods during music
listening, which has not been evaluated.
• Comparison of subjective evaluations between the proposed
and explicit notifcation methods for elements that could be
perceived as unpleasant when walking during music listen-
ing.
We synthesized these results and investigated a method of notifca-
tion that balances less discomfort and accuracy in perceiving the
direction of approaching objects during music listening.
2 EXPERIMENT
© 2022 Copyright held by the owner/author(s).
We conducted the experiments to verify the appropriateness of the
ACM ISBN 978-1-4503-9321-8/22/10.
https://doi.org/10.1145/3526114.3558728 proposed methods for gently warning pedestrians.