Perception of sound quality in mobile devices is affected by device type and usage context

This study examined the perception of sound quality in different mobile devices (from smart phone to small, then larger tablets) that were matched in physical sound characteristics. A sample of 39 participants were tested on different mobile devices sizes (small- iPhone, medium- iPad Mini and large- iPad) and in different usage contexts (generic content vs. musical training app contexts). Preliminary results showed that the users’ perception of sound was affected by device and usage context. However, these differences in perceived sound quality may not be the most important quality to consider within these devices. Instead, considerations such as ease of use seemed to drive considerations for uptake of applications.

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Author and article information

Contributors

Maria Uther

Adrian Banks

Conference

Publication date: July 2017

Publication date (Print): July 2017

Pages: 1-4

Affiliations

[0001]University of Winchester

Winchester, United Kingdom, SO22 4NR

[0002]University of Surrey

Guildford, Surrey GU2 7XH

Article

DOI: 10.14236/ewic/HCI2017.30

SO-VID: 993e12c3-e44b-4a58-bdae-113c5857f6ec

Copyright statement: © Uther et al. Published by BCS Learning and Development Ltd. Proceedings of British HCI 2017 – Digital Make-Believe. Sunderland, UK.

License:

This work is licensed under a Creative Commons Attribution 4.0 Unported License. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/

Conference name: Proceedings of the 31st International BCS Human Computer Interaction Conference (HCI 2017)

Conference acronym: HCI

Conference number: 31

Conference location: Sunderland, UK

Conference date: 3 - 6 July 2017

Conference sponsor: Electronic Workshops in Computing (eWiC)

Conference theme: digital make-believe, with delegates considering our expansive

Product

Product Information: 1477-9358BCS Learning & Development

Self URI (article page): https://www.scienceopen.com/hosted-document?doi=10.14236/ewic/HCI2017.30

Self URI (journal page): https://ewic.bcs.org/

References

K. BeresfordN. FordF. RumseyS. Zielinski 2006 Contextual effects on sound quality judgements: listening room and automotive environments Audio Engineering Society 120th Convention. Paris, France Audio Engineering Society
R. Hartson 2003 Cognitive, physical, sensory, and functional affordances in interaction design Behaviour Information Technology 22 5 315 338 https://doi.org/10.1080/014492903100015925 87
S. R. H. JosephM. Uther 2009 Mobile devices for language learning: multimedia approaches Research and Practice in Technology Enhanced Learning 4 1 7 32 https://doi.org/10.1142/S179320680900060X
F. E. TooleS. E. Olive 1994 Hearing is Believing vs. Believing is Hearing: Blind vs. Sighted Listening Tests, and Other Interesting Things Audio Engineering Society 97th Convention. San Francisco AES
M. Uther 2002 Mobile Internet usability: what can “mobile learning” learn from the past Proceedings IEEE International Workshop on Wireless and Mobile Technologies in Education 174 176 https://doi.org/10.1109/WMTE.2002.1039247
M. UtherA. P. Banks 2016 The influence of affordances on user preferences for multimedia language learning applications Behaviour & Information Technology 35 4 277 289 https://doi .org/10.1080/0144929X.2016.11510 77
M. UtherI. ZipitriaJ. UtherP. Singh 2005 Mobile adaptive CALL (MAC): a case-study in developing a mobile learning application for speech/audio language training Wireless and Mobile Technologies in Education 2005 WMTE 2005 IEEE International Workshop on 5 Ieee https://doi.org/10.1109/WMTE.2005.46

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[1] K. BeresfordN. FordF. RumseyS. Zielinski 2006 Contextual effects on sound quality judgements: listening room and automotive environments Audio Engineering Society 120th Convention. Paris, France Audio Engineering Society

[2] R. Hartson 2003 Cognitive, physical, sensory, and functional affordances in interaction design Behaviour Information Technology 22 5 315 338 https://doi.org/10.1080/014492903100015925 87

[3] S. R. H. JosephM. Uther 2009 Mobile devices for language learning: multimedia approaches Research and Practice in Technology Enhanced Learning 4 1 7 32 https://doi.org/10.1142/S179320680900060X

[4] F. E. TooleS. E. Olive 1994 Hearing is Believing vs. Believing is Hearing: Blind vs. Sighted Listening Tests, and Other Interesting Things Audio Engineering Society 97th Convention. San Francisco AES

[5] M. Uther 2002 Mobile Internet usability: what can “mobile learning” learn from the past Proceedings IEEE International Workshop on Wireless and Mobile Technologies in Education 174 176 https://doi.org/10.1109/WMTE.2002.1039247

[6] M. UtherA. P. Banks 2016 The influence of affordances on user preferences for multimedia language learning applications Behaviour & Information Technology 35 4 277 289 https://doi .org/10.1080/0144929X.2016.11510 77

[7] M. UtherI. ZipitriaJ. UtherP. Singh 2005 Mobile adaptive CALL (MAC): a case-study in developing a mobile learning application for speech/audio language training Wireless and Mobile Technologies in Education 2005 WMTE 2005 IEEE International Workshop on 5 Ieee https://doi.org/10.1109/WMTE.2005.46