research-article

Acousess: smartphone-based logger to assess acoustical conditions: subjective noise conditions on some circumference and intraindividual variation

Authors:

Takahiro Miura,

Ken-ichiro YabuAuthors Info & Claims

SAC '19: Proceedings of the 34th ACM/SIGAPP Symposium on Applied Computing

Pages 1190 - 1199

https://doi.org/10.1145/3297280.3297397

Published: 08 April 2019 Publication History

Abstract

Since various sounds in the living sphere are sometimes regarded as noise, national and local governments continually struggle with decreasing environmental noise and disclose noise conditions. However, there remaines some ambiguous points in the correspondence between the physical quantity of sound pressure level and subjective annoyance. In this paper, our goal is to clarify the relationship between the objective noise level in individuals' daily life and their subjective discomfort to noise. We developed a smartphone application that could register objective noise levels and correspondent subjective impressions such as annoyance. We asked acoustic experts to record the objective and subjective sound conditions by our application. The analysis of shared results indicated that intrapersonal differences may be caused by personal situations including time and day and whether they were working.

References

[1]

Apple iOS Human Interface Guidelines. https://developer.apple.com/library/ios/#documentation/UserExperience/Conceptual/MobileHIG/Introduction/Introduction.html.

[2]

Extrium > England Noise Map Viewer. http://www.extrium.co.uk/noiseviewer.html.

[3]

Grid Noise Map and Meshed Noise Map. http://www.soundplan.com/grid_noise_map.htm.

[4]

Interactive noise maps. http://www.aena.es/en/corporate/interactive-noise-maps.html.

[5]

National Transportation Noise Map. https://maps.bts.dot.gov/arcgis/apps/webappviewer/index.html?id=a303ff5924c9474790464cc0e9d5c9fb.

[6]

ISO 532. 1975. Acoustics-Method for Calculating Loudness Level.

[7]

Jakob E. Bardram, Mads Frost, Károly Szántó, Maria Faurholt-Jepsen, Maj Vinberg, and Lars Vedel Kessing. 2013. Designing mobile health technology for bipolar disorder. Proceedings of the SIGCHI Conference on Human Factors in Computing Systems - CHI '13 (2013).

Digital Library

[8]

Birgitta Berglund, Ulf Berglund, and Thomas Lindvall. 1976. Scaling loudness, noisiness, and annoyance of community noises. The Journal of the Acoustical Society of America 60, 5 (1976), 1119--1125.

[9]

Birgitta Berglund, Thomas Lindvall, and Dietrich H Schwela. 1995. Guidelines for community noise. World Health Organization.

[10]

Agata Brajdic and Robert Harle. 2013. Walk detection and step counting on unconstrained smartphones. In Proceedings of the 2013 ACM international joint conference on Pervasive and ubiquitous computing. ACM, 225--234.

Digital Library

[11]

Mark Brink, Dirk Schreckenberg, Danielle Vienneau, Christian Cajochen, Jean-Marc Wunderli, Nicole Probst-Hensch, and Martin RïŁě"oïŁě"osli. 2016. Effects of scale, question location, order of response alternatives, and season on self-reported noise annoyance using ICBEN scales: a field experiment. International journal of environmental research and public health 13, 11 (2016), 1163.

[12]

Jeffrey A Burke, Deborah Estrin, Mark Hansen, Andrew Parker, Nithya Ramanathan, Sasank Reddy, and Mani B Srivastava. 2006. Participatory sensing. (2006).

[13]

Trudie Chalder, G Berelowitz, Teresa Pawlikowska, Louise Watts, S Wessely, D Wright, and EP Wallace. 1993. Development of a fatigue scale. Journal of psychosomatic research 37, 2 (1993), 147--153.

[14]

Chuansheng Chen, Shin-ying Lee, and Harold W Stevenson. 1995. Response style and cross-cultural comparisons of rating scales among East Asian and North American students. Psychological Science 6, 3 (1995), 170--175.

[15]

Jacob Cohen. 1992. A power primer. Psychological bulletin 112, 1 (1992), 155.

[16]

Cathy C Conrad and Krista G Hilchey. 2011. A review of citizen science and community-based environmental monitoring: issues and opportunities. Environmental monitoring and assessment 176, 1--4 (2011), 273--291.

[17]

Ellie D'Hondt, Matthias Stevens, and An Jacobs. 2013. Participatory noise mapping works! An evaluation of participatory sensing as an alternative to standard techniques for environmental monitoring. Pervasive and Mobile Computing 9, 5 (2013), 681--694.

[18]

Janis L Dickinson, Benjamin Zuckerberg, and David N Bonter. 2010. Citizen science as an ecological research tool: challenges and benefits. Annual review of ecology, evolution, and systematics 41 (2010), 149--172.

[19]

Bo Ekehammar and Stan Dornic. 1990. Weinstein's noise sensitivity scale: reliability and construct validity. Perceptual and Motor Skills 70, 1 (1990), 129--130.

[20]

JM Fields, RG De Jong, T Gjestland, IH Flindell, RFS Job, S Kurra, P Lercher, M Vallet, T Yano, R Guski, et al. 2001. Standardized general-purpose noise reaction questions for community noise surveys: Research and a recommendation. Journal of sound and vibration 242, 4 (2001), 641--679.

[21]

Jorge Goncalves, Vassilis Kostakos, Simo Hosio, Evangelos Karapanos, and Olga Lyra. 2013. IncluCity: Using Contextual Cues to Raise Awareness on Environmental Accessibility. In Proceedings of the 15th International ACM SIGACCESS Conference on Computers and Accessibility (ASSETS '13). ACM, New York, NY, USA, Article 17, 8 pages.

Digital Library

[22]

Sebastian Hammerl, Thomas Hermann, and Helge Ritter. 2012. Towards a semiautomatic personal digital diary: detecting daily activities from smartphone sensors. In Proceedings of the 5th International Conference on PErvasive Technologies Related to Assistive Environments. ACM, 24.

Digital Library

[23]

Marianne Jensen Hjermstad, Peter M Fayers, Dagny F Haugen, Augusto Caraceni, Geoffrey W Hanks, Jon H Loge, Robin Fainsinger, Nina Aass, Stein Kaasa, European Palliative Care Research Collaborative (EPCRC, et al. 2011. Studies comparing Numerical Rating Scales, Verbal Rating Scales, and Visual Analogue Scales for assessment of pain intensity in adults: a systematic literature review. Journal of pain and symptom management 41, 6 (2011), 1073--1093.

[24]

E Hoddes, V Zarcone, H Smythe, R Phillips, and WC Dement. 1973. Quantification of sleepiness: a new approach. Psychophysiology 10, 4 (1973), 431--436.

[25]

Harald Holone and Gunnar Misund. 2008. People helping computers helping people: Navigation for people with mobility problems by sharing accessibility annotations. In Computers Helping People with Special Needs. Springer, 1093--1100.

Digital Library

[26]

Benjamin WY Hornsby, Graham Naylor, and Fred H Bess. 2016. A taxonomy of fatigue concepts and their relation to hearing loss. Ear and hearing 37, Suppl 1 (2016), 136S.

[27]

Robert Hurling, Michael Catt, Marco De Boni, Bruce William Fairley, Tina Hurst, Peter Murray, Alannah Richardson, and Jaspreet Singh Sodhi. 2007. Using internet and mobile phone technology to deliver an automated physical activity program: randomized controlled trial. Journal of medical Internet research 9, 2 (2007).

[28]

ISO/TS15666. 2003. Acoustics - Assessment of noise annoyance by means of social and socio-acoustic surveys.

[29]

Eiman Kanjo. 2010. Noisespy: A real-time mobile phone platform for urban noise monitoring and mapping. Mobile Networks and Applications 15, 4 (2010), 562--574.

Digital Library

[30]

H Kishikawa, T Matsui, I Uchiyama, M Miyakawa, K Hiramatsu, SA Stansfeld, et al. 2006. The development of Weinstein's noise sensitivity scale. Noise and Health 8, 33 (2006), 154.

[31]

Masatomo Kobayashi, Atsushi Hiyama, Takahiro Miura, Chieko Asakawa, Michitaka Hirose, and Tohru Ifukube. 2011. Elderly user evaluation of mobile touchscreen interactions. In Human-Computer Interaction-INTERACT 2011. Springer, 83--99.

Digital Library

[32]

Smtnsmm Kuwano, T Mizunami, S Namba, and M Morinaga. 2002. The effect of different kinds of noise on the quality of sleep under the controlled conditions. Journal of sound and vibration 250, 1 (2002), 83--90.

[33]

S Kuwano, S Namba, and H Fastl. 1988. On the judgment of loudness, noisiness and annoyance with actual and artificial noises. Journal of sound and vibration 127, 3 (1988), 457--465.

[34]

Sonoko Kuwano, Seiichiro Namba, Osamu Takehira, and Hugo Fastl. 2009. Subjective impression of copy machine noises: An examination of physical metrics for the evaluation of sound quality. In Proc. Inter-Noise 2009, Ottawa, Canada.

[35]

Nicolas Maisonneuve, Matthias Stevens, Maria E Niessen, and Luc Steels. 2009. NoiseTube: Measuring and mapping noise pollution with mobile phones. In Information technologies in environmental engineering. Springer, 215--228.

[36]

Nicolas Maisonneuve, Matthias Stevens, and Bartek Ochab. 2010. Participatory noise pollution monitoring using mobile phones. Information Polity 15, 1, 2 (2010), 51--71.

Digital Library

[37]

Douglas Manvell. 2017. Noise and vibration monitoring around construction sites-examples of standards and practice from around the world. In INTER-NOISE and NOISE-CON Congress and Conference Proceedings, Vol. 255. Institute of Noise Control Engineering, 5046--5054.

[38]

Henk ME Miedema and Henk Vos. 1998. Exposure-response relationships for transportation noise. The Journal of the Acoustical Society of America 104, 6 (1998), 3432--3445.

[39]

Takahiro Miura, Ken-ichiro Yabu, Atsushi Hiyama, Noriko Inamura, Michitaka Hirose, and Tohru Ifukube. 2015. Smartphone-based gait measurement application for exercise and its effects on the lifestyle of senior citizens. In Human-Computer Interaction. Springer, 80--98.

Digital Library

[40]

Takahiro Miura, Ken-ichiro Yabu, Takeshi Noro, Tomoko Segawa, Kei Kataoka, Akihito Nishimuta, Masaya Sanmonji, Atsushi Hiyama, Michitaka Hirose, and Tohru Ifukube. 2016. Sharing Real-World Accessibility Conditions Using a Smart-phone Application by a Volunteer Group. In International Conference on Computers Helping People with Special Needs. Springer, 265--272.

[41]

Takahiro Miura, Ken-ichiro Yabu, Ryogo Ogino, Atsushi Hiyama, Michitaka Hirose, and Tohru Ifukube. 2018. Collaborative Accessibility Assessments by Senior Citizens Using Smartphone Application ReAcTS (Real-world Accessibility Transaction System). In Proc. W4A'18. ACM, 10 pages.

Digital Library

[42]

JA Molino. 1979. Annoyance and noise. Handbook of noise control 2 (1979).

[43]

John A Molino, Gerald A Zerdy, Neil D Lerner, and Dane L Harwood. 1979. Use of the "acoustic menu" in assessing human response to audible (corona) noise from electric transmission lines. The Journal of the Acoustical Society of America 66, 5 (1979), 1435--1445.

[44]

Seiichiro Namba. 1985. Measurement of annoyance by subject-interrupted noise source method. Proc. Internoise 85 (1985), 1407--1410.

[45]

Seiichiro Namba. 1987. On the psychological measurement of loudness, noisiness and annoyance: A review. Journal of the Acoustical Society of Japan (E) 8, 6 (1987), 211--222.

[46]

Seiichiro Namba, Sonoko Kuwano, Takeo Hashimoto, Birgitta Berglund, Zheng Da Rui, August Schick, Holger Hoege, and Mary Florentine. 1991. Verbal expression of emotional impression of sound. Journal of the Acoustical Society of Japan (E) 12, 1 (1991), 19--29.

[47]

Seiichiro Namba, Sonoko Kuwano, Jiro Kaku, Kazuhiro Kuno, Minoru Sasaki, Hideki Tachibana, Akihiro Tamura, Yoshiaki Mishina, Takashi Yano, and Ichiro Yamada. 2010. Proposal of fundamental items for social survey on noise problems. Acoustical Science and Technology 31, 2 (2010), 124--128.

[48]

Seiichiro Namba, Sonoko Kuwano, and August Schick. 1986. A cross-cultural study on noise problems. Journal of the Acoustical Society of Japan (E) 7, 5 (1986), 279--289.

[49]

Thulan Nguyen, Takashi Yano, Takashi Morihara, Shigenori Yokoshima, and Makoto Morinaga. 2017. Comparison of annoyance response measured with ICBEN 5-point verbal and 11-point numerical scales in Japanese and Vietnamese. In Proc. 12th ICBEN Congress on Noise as a Public Health Problem.

[50]

Jennifer Preece. 2016. Citizen Science: New Research Challenges for Human-Computer Interaction. International Journal of Human-Computer Interaction 32, 8 (2016), 585--612.

[51]

Rajib Kumar Rana, Chun Tung Chou, Salil S Kanhere, Nirupama Bulusu, and Wen Hu. 2010. Ear-phone: an end-to-end participatory urban noise mapping system. In Proceedings of the 9th ACM/IEEE International Conference on Information Processing in Sensor Networks. ACM, 105--116.

Digital Library

[52]

Theodore J Schultz. 1978. Synthesis of social surveys on noise annoyance. The journal of the acoustical society of America 64, 2 (1978), 377--405.

[53]

Julia Seiter, Sebastian Feese, Bert Arnrich, Gerhard TrïŁě"oster, Oliver Amft, Lucian Macrea, and Konrad Maurer. 2013. Evaluating daily life activity using smartphones as novel outcome measure for surgical pain therapy. In Proceedings of the 8th International Conference on Body Area Networks. ICST (Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering), 153--156.

Digital Library

[54]

Dan Siewiorek. 2012. Generation smartphone. IEEE spectrum 49, 9 (2012).

[55]

Osamu Takehira, Sonoko Kuwano, Seiichiro Namba, and Hugo Fastl. 2009. Subjective impression of copy machine noises: an improvement of their sound quality based on physical metrics. In Proc. Inter-Noise 2009, Ottawa, Canada.

[56]

ND Weinstein. 1980. Individual differences in critical tendencies and noise annoyance. Journal of Sound and Vibration 68, 2 (1980), 241--248.

[57]

WHO Europe. 2009. Night noise guidelines for Europe. http://www.euro.who.int/___data/assets/pdf__file/0017/43316/E92845.pdf.

[58]

Tae-Jung Yun and Rosa I Arriaga. 2013. A text message a day keeps the pulmonologist away. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems. ACM, 1769--1778.

Digital Library

Cited By

Montag CDagum PHall BElhai J(2022)How the study of digital footprints can supplement research in behavioral genetics and molecular psychologyMolecular Psychology: Brain, Behavior, and Society10.12688/molpsychol.17401.11(2)Online publication date: 17-May-2022
https://doi.org/10.12688/molpsychol.17401.1
Ueda MMiura TYabu KNakamura KOgawa YTanaka T(2019)Creation of a Sound Map Based on a Field Assessment: A Case of Hon-Atsugi Station "s(urr)oundings"2019 8th International Congress on Advanced Applied Informatics (IIAI-AAI)10.1109/IIAI-AAI.2019.00016(25-28)Online publication date: Jul-2019
https://doi.org/10.1109/IIAI-AAI.2019.00016

Index Terms

Acousess: smartphone-based logger to assess acoustical conditions: subjective noise conditions on some circumference and intraindividual variation
1. Applied computing
  1. Law, social and behavioral sciences
  2. Physical sciences and engineering
    1. Earth and atmospheric sciences
      1. Environmental sciences
2. Human-centered computing
  1. Human computer interaction (HCI)
    1. Empirical studies in HCI
  2. Ubiquitous and mobile computing
    1. Empirical studies in ubiquitous and mobile computing

Recommendations

A smartphone-based digital hearing aid to mitigate hearing loss at specific frequencies
MMA '14: Proceedings of the 1st Workshop on Mobile Medical Applications

Hearing Loss is one of the three most common chronic conditions among the elderly. In many cases, an individuals hearing is only impaired at certain (not all) frequencies. Analog hearing aids boost all sound frequencies equally including frequencies in ...
Research on auditory perception processing of high-speed railway running noise signal
EITCE '21: Proceedings of the 2021 5th International Conference on Electronic Information Technology and Computer Engineering

At present, the traditional LAeq as a physical index is used to evaluate the high-speed railways environmental noise quantitatively. However, people in the environment with the same sound pressure level have different subjective feelings. To find a new ...
Cognitive task and ambient noise-based investigation on cognitive development of roadside school children
Abstract
Recently, noise pollution has become a considerable environmental concern, with extended exposure linked to numerous health problems, including sleep disturbances, elevated blood pressure, psychological health, and hormone levels. This research ...

Comments

Information & Contributors

Information

Published In

cover image ACM Conferences

SAC '19: Proceedings of the 34th ACM/SIGAPP Symposium on Applied Computing

April 2019

2682 pages

ISBN:9781450359337

DOI:10.1145/3297280

Conference Chairs:
Chih-Cheng Hung
Kennesaw State University, Marietta, Georgia
,
George A. Papadopoulos
University of Cyprus, Nicosia, Cyprus

Copyright © 2019 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

Sponsors

SIGAPP: ACM Special Interest Group on Applied Computing

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 08 April 2019

Permissions

Request permissions for this article.

Request Permissions

Check for updates

Author Tags

Qualifiers

Research-article

Funding Sources

Secom Science and Technology Foundation

Conference

SAC '19

Sponsor:

SIGAPP

SAC '19: The 34th ACM/SIGAPP Symposium on Applied Computing

April 8 - 12, 2019

Limassol, Cyprus

Acceptance Rates

Overall Acceptance Rate 1,650 of 6,669 submissions, 25%

Upcoming Conference

SAC '25

Sponsor:
sigapp

The 40th ACM/SIGAPP Symposium on Applied Computing

March 31 - April 4, 2025

Catania , Italy

Contributors

Other Metrics

View Article Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

2
Total Citations
View Citations
83
Total Downloads

Downloads (Last 12 months)4
Downloads (Last 6 weeks)0

Reflects downloads up to 01 Mar 2025

Other Metrics

View Author Metrics

Citations

Cited By

Montag CDagum PHall BElhai J(2022)How the study of digital footprints can supplement research in behavioral genetics and molecular psychologyMolecular Psychology: Brain, Behavior, and Society10.12688/molpsychol.17401.11(2)Online publication date: 17-May-2022
https://doi.org/10.12688/molpsychol.17401.1
Ueda MMiura TYabu KNakamura KOgawa YTanaka T(2019)Creation of a Sound Map Based on a Field Assessment: A Case of Hon-Atsugi Station "s(urr)oundings"2019 8th International Congress on Advanced Applied Informatics (IIAI-AAI)10.1109/IIAI-AAI.2019.00016(25-28)Online publication date: Jul-2019
https://doi.org/10.1109/IIAI-AAI.2019.00016

View Options

Login options

Check if you have access through your login credentials or your institution to get full access on this article.

Full Access

Get this Publication

View options

PDF

View or Download as a PDF file.

eReader

View online with eReader.

Figures

Tables

Media

View Table of Conten