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All Publications

Journals

Chmiel, A., MacRitchie, J., Stevens, C. J., & Dean, R. T.

Objective demonstration and quantitation of musical learning in older adult novices across a 12-month online study.

PLOS One, 20 (4), e0320055
2025
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Garrido, S., O’Keeffe, Z., Chmiel, A., Boydell, K., Doran, B., & Nguyen, Q. V.

MoodyTunes: A single cohort study of a music-based smartphone app for mental health and mood regulation in young people

Frontiers in Psychology, 16, 1568958.
2025
Schubert, E. & Chmiel, A.

Meaning in music framed: The four ‘Eff’ processes (Fit, Affiliation, Facilitation, and Fluency)

Behavioral Sciences, 15 (4), 546
2025
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Chmiel, A., Kiernan, F., Ramallo, H., & Davidson, J. W.

Musical activity as avoidance-based emotion regulation during the COVID-19 pandemic: Evidence across continents.

Empirical Studies of the Arts, 42(2), 412-438. 10.1177/02762374231196083
2024
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Kim, G. S, Chmiel, A., & Garrido, S.

Calming effects of repetition in music for children with sensory sensitivities: Findings from two experimental studies.

The Arts in Psychotherapy, 87, 102115. 10.1016/j.aip.2023.10211.
2024
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Dean, R. T., Chmiel, A., Radnan, M., Taylor, J. R., & MacRitchie, J.

AMMRI: A computational assessment tool for music novice students’ replication and improvisation tasks.

Journal of New Music Research, 51(4-5). 10.1080/09298215.2023.2270973
2023
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MacRitchie, J., Chmiel, A., Radnan, M., Taylor, J. R., & Dean, R. T

Going online: Successes and challenges in delivering group music learning for older adult novices during the COVID-19 pandemic.

Musicae Scientiae, 27(3), 596-615. 10.1177/10298649221097953
2023
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Canazza, S., Schubert, E., Chmiel, A., Pretto, N., & Rodà, A.

The magnetic urtext: Restoration as music interpretation.

Frontiers in Psychology, 13, 844009.
2022
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Chmiel, A., Kiernan, F., Garrido, S., Lensen, S., Hickey, M., & Davidson, J. W.

Creativity in lockdown: Understanding how music and the arts supported mental health during the COVID-19 pandemic by age group.

Frontiers in Psychology, 13, 993259.
2022
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Chmiel, A., Milne, A. J., Dean, R. T., & Schubert, E.

Increasing music preference through guided self-framing: A comparison of historical and imaginative approaches.

Psychology of Aesthetics, Creativity, and the Arts, 18(6), 968-977. 10.1037/aca0000488
2022
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Duguid, T., Mansour, S., Garrido, S., & Chmiel, A.

MoodyTunes: A mixed methods usability study of an app for adolescent mental health.

Psychomusicology: Music, Mind, and Brain, 32(1-2), 24-32. 10.1037/pmu0000286
2022
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Garrido, S., Oliver, E., Chmiel, A., Doran, B., & Boydell, K.

Encouraging help-seeking and engagement in a mental health app: What young people want.

Frontiers in Digital Health, 4, 1045765.
2022
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McDonald, J., Canazza, S., Chmiel, A., De Poli, G., Houbert, E., Murari, M., Rodà, A., Schubert, E., & Zhang, J. D.

Illuminating music: Impact of color hue for background lighting on emotional arousal in piano performance.

Frontiers in Psychology, 13, 828699.
2022
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Pretto, N., Dalla Pozza, N., Padoan, A., Chmiel, A., Werner, K. J., Micalizzi, A., Schubert, E., Rodà, A., Milani, S. & Canazza, S.

A workflow and digital filters for correcting speed and equalization errors on digitized audio open-reel magnetic tapes.

Journal of the Audio Engineering Society, 70(6), 495-509.
2022
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Kiernan, F., Chmiel, A., Garrido, S., Hickey, M., & Davidson, J. W.

The role of artistic creative activities in navigating the COVID-19 pandemic in Australia.

Frontiers in Psychology, 12, 696202.
2021
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Pretto, N., Micheloni, E., Chmiel, A., Dalla Pozza, N., Marinello, D., Schubert, E., & Canazza, S.

Multimedia archives: New digital filters to correct equalization errors on digitized tape.

Advances in Multimedia, 2021, 5410218.
2021
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Chmiel, A., & Schubert, E.

Imaginative enrichment produces higher preference for unusual music than historical framing: A literature review and two empirical studies.

Frontiers in Psychology, 11, 1920.
2020
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Chmiel, A., & Schubert, E.

Psycho-historical contextualization for music and visual works: A literature review and comparison between artistic mediums.

Frontiers in Psychology, 10, 182.
2019
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Chmiel, A., & Schubert, E.

Unusualness as a predictor of music preference.

Musicae Scientiae, 23(4), 426-441.
2019
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Chmiel, A., & Schubert, E.

Emptying rooms: When the inverted-U model of preference fails—An investigation using music with collative extremes.

Empirical Studies of the Arts, 36(2), 199-221.
2018
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Chmiel, A., & Schubert, E.

Using psychological principles of memory storage and preference to improve music recommendation systems.

Leonardo Music Journal, 28, 77-81.
2018
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Chmiel, A., & Schubert, E.

Back to the inverted-U for music preference: A review of the literature.

Psychology of Music, 45(6), 886-909.
2017
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Johnson-Read, L., Chmiel, A., Schubert, E., & Wolfe, J.

Performing lieder: Expert perspectives and comparison of vibrato and singer’s formant with opera singers.

Journal of Voice, 29(5), 645.e615-645.e632.
2015
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Peer-reviewed & Published Conference Proceedings

Turato, A., Rodà, A., Canazza, S., Chmiel, A., Murari, M., Schubert, E. & Zhang, J. D.
(2023)

Knocking on a yellow door: Interactions among knocking sounds, colours, and emotions.

Forum Acusticum 2023: 10th Convention of the European Acoustics Associations. Turin: Italy.

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Pretto, N., Dalla Pozza, N., Padoan, A., Chmiel, A., Werner, K. J., Micalizzi, A., Schubert, E., Rodà, A., Milani, S. & Canazza, S.
(2021)

A workflow and novel digital filters for compensating speed and equalization errors on digitized audio open-reel tapes.

In AudioMostly 2021. New York: ACM.

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Murari, M., Chmiel, A., Tiepolo, E., Zhang, J. D., Canazza, S., Rodà, A., & Schubert, E.
(2020)

Key clarity is blue, relaxed, and maluma: Machine learning used to discover cross-modal connections between sensory items and the music they spontaneously evoke.

Proceedings of the 8th International Conference on Kansei Engineering and Emotion Research, Vol. 1256. Singapore: Springer.

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Canazza, S., Fantozzi, C., Pretto, N., Rodà, A., Chmiel, A., & Schubert, E.
(2019)

Quelle voci poco fa: l’intelligenza artificiale a contrastare l’eclisse delle memorie sonore.

Paper presented at the 1st Convegno Nazionale di Intelligenza Artificiale, Rome, Italy.

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Chmiel, A., & Schubert, E.
(2018)

A simple algorithm for music recommendation, built on established psychological principles.

In M. Della Ventura (Ed.), New music concepts: 5th International conference, ICNMC 2018 (pp. 155-160). Treviso, Italy: Abeditore.

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Chmiel, A., & Schubert, E.
(2018)

Remembering the forgetting curve: A simulation and new explanation of the inverted-U preference trajectory for exposure to music.

In E. Himonides, A. King, and F. Cuadrado (Eds.), Proceedings of the Sempre MET2018: Researching music, education, technology (pp. 135-139). London, United Kingdom: iMerc.

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Non-traditional Research Outputs

Garrido, S., Dunne, L., Chmiel, A., Stevens, C. J., Chang, E., & Perz, J.
(2022)

Music playlists for people with dementia: A guide for carers, health workers, and family. (www.musicfordementia.com.au).

http://dx.doi.org/10.13140/RG.2.2.20386.91845

Public Media Outputs

Kiernan, F., Chmiel, A., & Davidson, J. W.
(September 1, 2021)

What art are you engaging with in lockdown? Australians are mostly watching TV – but music, singing and dancing do more for your mood.

The Conversation.

Chmiel, A.
(September 2, 2021)

Lockdown boost: The activities that improve your mood the most.

3AW Radio interview.

Chmiel, A.
(September 19, 2021)

What art are you engaging with in lockdown?

88.3 Southern FM Radio interview.

Chmiel, A.
(September 24, 2021)

Engaging with art to improve your mood in lockdown.

2SER Radio interview.

Kembrey, M.
(October 1, 2021)

‘I get completely lost in it’: Why more people are tuning in to music lessons.

Sydney Morning Herald, Good Weekend.

Other Outputs

Brown, C., Fraser, A., Burrell-McDonald, C., Chmiel, A., Mitchell, H., & Peres Da Costa, N.
(2024)

Vocalists and wobblers. 

‘Beautiful’ Singing in Vienna: Symposium and Workshop. December 16-19, Vienna, Austria.
Chmiel, A, MacRitchie, J., & Dean, R. T.
(2024)

Examining older adult cognition, motor function, and musical aptitude across a longitudinal music education program.

12th Triennial ESCOM Conference. July 3-6, York Hub, United Kingdom.
Dean, R. T., MacRitchie, J., & Chmiel A.
(2024)

Impacts of improvisation as a component of novice music learning in older people. 

AJIRN7 – Australasian Jazz and Improvisation Research Network Conference. May 31-June 2, Melbourne, Australia.
Schubert, E., Rodà, A., De Poli, G., Chmiel, A, Murari, M., Zhang, J. D., & Canazza, S.
(2024)

Surfing the pleasure sea: Neurobiological principles of music enjoyment proposed for recommendation systems and wellbeing. 

12th Triennial ESCOM Conference. July 3-6, Melbourne Hub, Australia.
Zhu, G., Canazza, S., Chmiel, A, De Poli, G., Murari, M., Rodà, A., Schubert, E., & Zhang, J. D.
(2024)

Quantifying relationships among terms describing powerfully positive affect experience.

12th Triennial ESCOM Conference. July 3-6, Melbourne Hub, Australia.
MacRitchie, J., Dean, R. T., Chmiel, A., & Stevens, C. J.
(2023)

Creativity in learning a musical instrument during older adulthood.

GAPS2 – Global Arts and Psychology Seminar. September 14-16, York, UK.
Chmiel, A.
(2022)

Developing beneficial musical interventions for older adult novices.

Invited ECR Keynote presented at the Australian Music Psychology Society (AMPS) National Conference 2022. September 28.
Chmiel, A.
(2022)

Introductory video series to PsychTestR: A guide for running online experiments during COVID-19.

Technical video report, MARCS Online Platforms Group. (https://pmcharrison.github.io/psychTestR)
Chmiel, A.
(2021)

Maintaining active minds and bodies through online music reproduction and improvisation classes. 

Presentation within Innovative ways of promoting cognitive and social engagement for older adults: From research to practice [Symposium]. 54th Australian Association of Gerontology Conference. November 9-12.
Chmiel, A. & O’Donnell, P.
(2021)

The Active Minds Music Ensemble: Running group music lessons for older adults in-person and online. 

Invited Presentation for Inspire 2021 – Biennial Conference of the Music Teacher’s Association of NSW. September 24-25, Zenith Theatre Chatswood, Sydney, AU.
MacRitchie, J., Chmiel, A., Dean, R. T., Taylor, J. R., Radnan, M., O’Donnell, P., & Stevens, C. J.
(2021)

The Active Minds Music Ensemble: Experiences online and in-person. 

Paper presented at 16th International Conference on Music Perception and Cognition (ICMPC16): UK Hub. July 28-31.
McDonald, J., Canazza, S., Chmiel, A., De Poli, G., Murari, M., Rodà, A., Schubert, E., & Zhang, J. D.
(2021)

Colors of the music: Emotional enhancement of music performance through stage lighting.

Paper presented at International Symposium on Performance Science (ISPS 2021). October 27-30, McGill University, Montreal, CA.
Taylor, J., R., Chmiel, A., Dean, R. T., Stevens, C. J., & MacRitchie J.
(2021)

PitchDraw: A dual axis pitch association training app for novice musical instrument learners.

Paper presented at 16th International Conference on Music Perception and Cognition (ICMPC16): Australian Hub. July 28-31.
Chmiel, A.
(2020)

Guide to creating a server for online R experiments using psychTestR.

Technical report, MARCS Online Platforms Group. http://dx.doi.org/10.13140/RG.2.2.18849.43360
Chmiel, A.
(2020)

PsychTestR: An interface for online experiments using R.

Invited presentation at Research webinar: Online and remote methods for data collection. July 29, Western Sydney University, Sydney, AU.
MacRitchie, J., Chmiel, A., O’Donnell, P., Taylor, J. R., Radnan, M., Dean, R. T., & Stevens, C. J.
(2020)

The Active Minds Music Ensemble: Older adult music instrument learning. 

Paper presented at the AMPS Music & Psychology Research Conference: Virtually Together. October 9, University of Melbourne, Melbourne, AU.
Chmiel, A.
(2019)

Psycho-historical contextualization versus imaginative engagement for music preference.

Invited Graduate Keynote presented at the International Symposium on Performance Science (ISPS 2019). July 16-20, University of Melbourne, Melbourne, AU.
Chmiel, A.
(2019)

Theory, data, and application of psychological principles for music preference

(Unpublished doctoral dissertation). University of New South Wales, Sydney, AU.
Chmiel, A.
(2018)

The new U: Music preference is an inverted-U as a function of exposure by reinventing the Ebbinghaus memory retention curve

In Veloso, R., Chmiel, A., Zhang, J. D., Burwell, K., & Schubert, E. (Eds.), Proceedings of the 15th International Conference on Music Perception and Cognition (ICMPC15): Sydney Hub. July 23-28, UNSW, Sydney, AU.
Chmiel, A.
(2017)

Beyond similarity: Applying collative variables and the inverted-U to music recommendation systems.

In Veloso, R., Chmiel, A., Susino, M., Dickson, T., & Schubert, E. (Eds.), Proceedings of The inaugural Global Arts and Psychology Seminar (GAPS 2017): Sydney Hub. April 28-29, UNSW, Sydney, AU.

contact me

Anthony Chmiel, PhD.