MOBILE MUSIC THERAPY WITH MULTIMEDIA QUALITY OF LIFE SUPPORTERS FOR ELDERLY AND DISABLED

Authors

  • NIKOLAY MIRENKOV University of Aizu, Aizu-Wakamatsu City, 965-8580 Japan
  • KAMEN KANEV Research Institute of Electronics, Shizuoka University, Hamamatsu, 432-8011 Japan
  • HIROSHI TAKEZAWA University of Aizu, Aizu-Wakamatsu City, 965-8580 Japan

Keywords:

Quality of life (QOL), multiple view, cyberFilm, multimedia hieroglyph, assistive interface, human emotional state, mobile music therapy

Abstract

Music Therapy (MT) addresses physiological, cognitive, and social needs of individuals and employs music to enhance quality of human lives through creation of positive changes. In this paper, we consider applying mobile MT to human-computer interfaces, based on Quality of Life Supporters (QLS) of selfexplanatory type, and oriented to elderly and disabled people. QLS are multi-modal communicators for person-environment (P-E) fit adjustments that take into account individual emotions and well-being. The "Circumplex model" published by Russell (1980) is employed for constructing optimal sequences of steps allowing smooth transition between any current and target emotional states in the course of computer assisted sessions. Findings regarding optimal step sizes and preferable types of music applicable for each step, as well as empirical methods of acquiring knowledge concerning relations between music and emotions are reported in result.

 

Downloads

Download data is not yet available.

References

ACM TechNews, April 25, 2008 (on-line), http://technews.acm.org/archives.cfm

Altarriba, J., Basnight, D. M., Canary, T. M., Emotion Representation and Perception Across

Cultures, In Lonner, W. J., Dinnel, D. L., Hayes, S. A., Sattler, D. N. (Eds.), Online Readings in

Psychology and Culture (Unit 4, Chapter 5), 2003, http://www.ac.wwu.edu/~culture.

Altschuler, I., A Psychiatrist’s Experience with Music as a Therapeutic Agent. (The series of

classical articles). Nordic J. of Music Therapy, 10 (1), 69-76.

American Music Therapy Association (on-line), http://www.musictherapy.org/

CERTEC (on-line), http://www.english.certec.lth.se/doc/certec/

Czaja, S. J., Handbook of Human-Computer Interaction, second edition, Elsevier 1997

Fratiglioni, L., Wang, H-X., Ericsson, K., Maytan, M., Winblad, B., Influence of Social Network

on Occurrence of Dementia: A Community Based Longitudinal Study, The Lancet 355, 9212,

pp.1315-1319.

Gutchess, A. H., Welsh, R. C., Hedden, T., Bangert, A., Minear, M., Liu, L. L., Park, D. C., Aging

and the Neural Correlates of Successful Picture Encoding: Frontal Activations Compensate for

Decreased Medial-Temporal Activity, J. of Cognitive Neuroscience, 2005, 17: 84-96.

Hawthorn, D., Possible Implications of Aging for Interface Designers, Interacting Computers,

Vol. 12, No. 5, April 2000, pp. 507-528.

Hirotomi, T., Mirenkov, N., Augmentative and Alternative Communication Based on Multimedia

Hieroglyphs, J. of the Japanese Society for Wellbeing Science and Assistive Technology, Vol. 3,

No. 2, 2004, pp. 40-49.

Hirotomi, T., Mirenkov, N., Multimedia Communication Environment for Children, Handicapped,

and Elderly People, In Proc. of the 22nd Int. Conf. on Distributed Computing Systems Workshops

(ICDCSW’02), Vienna, Austria, 2002, pp. 122-127.

Hirotomi, T., Mirenkov, N., Self-explanatory Components: A Basis for New Communicators, J. of

Visual Languages and Computing, Vol. 14, No. 3, Elsevier Science, 2003, 215-232.

Hirotomi, T., Mirenkov, N., Fujita, K., Filmification of Words and Sentences Towards Teaching

and Learning, In Proc. of the Int. Conf. on Advances in Infrastructure for e-Business, e-Education,

e-Science, e-Medicine on Internet (SSGRR 2003w), L’Aquila, Italy, January 6-12, 2003.

Hunt, A., Kirk, R., Neighbour, M., Multiple Media Interfaces for Music Therapy, IEEE

Multimedia, July-September, 2004, pp. 50-58.

Kanev, K., Kimura, S., Direct Point-and-Click Functionality for Printed Materials, The J. of Three

Dimensional Images, Vol. 20, No. 2, 2006, pp. 51-59.

Korhonen, M. D., Clausi, D. A., Jernigan, M. E., Modelling Emotional Content of Music Using

System Identification, IEEE Trans Sys. Man. And Cyber., Vol. 36, No. 3, pp. 588-599, 2006.

Kothiyal, K., Tettey, S., Anthropometric data of elderly people in Australia, Applied Ergonomics,

Vol. 31, No. 3, June 2000, pp.329-332.

Kramer, A. F., Hahn, S., Cohen, N. J., et al. Ageing, Fitness and Neurocognitive Function, Nature,

, 400, pp. 418-419.

Logan, J. M. et al., Under-Recruitment and Non-Selective Recruitment: Dissociable Neural

Mechanisms Associated with Aging, Neuron, 2002, 33, 827-840.

Q-Life (on-line), http://www.informatic.umu.se/~muse/home.html

Russell, J. A., A Circumplex Model of Affect, J. of Personality and Social Psychology, Vol. 39,

pp. 1161-1178, 1980.

Seeman, T. E., Social Ties and Health: The Benefits of Social Integration, Annals of

Epidemiology, Sept. 1996, Vol. 6, No. 5, pp. 442-451.

The Economist Intelligence Unit's Quality-of-life Index (on-line),

http://www.economist.com/media/pdf/quality_of_life.pdf

Yang, Y-H. L., Lin, Y-C., Su, Y-F., Chen, H. H., Music Emotion Classification: A Regression

Approach, IEEE Int. Conf. on Multimedia and EXPO (ICME2007), Beijing, China, July 2-5, 2007,

pp.208-211.

Zhao, H., Universal Usability Web Design Guidelines for the Elderly (Age 65 and Older),

University of Maryland, College Park, MD 20742 USA,

http://www.otal.umd.edu/UUPractice/elderly/

Downloads

Published

2008-09-01

How to Cite

MIRENKOV, N. ., KANEV, K., & TAKEZAWA, H. . (2008). MOBILE MUSIC THERAPY WITH MULTIMEDIA QUALITY OF LIFE SUPPORTERS FOR ELDERLY AND DISABLED. Journal of Mobile Multimedia, 5(1), 029–044. Retrieved from https://journals.riverpublishers.com/index.php/JMM/article/view/4825

Issue

Section

Articles