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Influence of Music on Enjoyment of Pre-Frail Elderly While Doing Physical Exercises with a Robot Coach

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Human-Friendly Robotics 2022 (HFR 2022)

Part of the book series: Springer Proceedings in Advanced Robotics ((SPAR,volume 26))

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Abstract

Pre-frail elderly people have to do physical exercises to reduce the risk of becoming frail but often lack motivation. Socially Assistive Robots could offer a solution because they have shown their effectiveness in achieving measurable progress with the elderly. This paper investigates how the addition of music and autonomy to choose it influences the enjoyment of pre-frail elderly while doing physical exercises under the coaching of a Social Robot. In an experiment with 12 pre-frail elderly coached by a robot to exercise, three different conditions were tested: (1) no music accompanying the exercise, (2) the robot chooses music, and (3) the elderly person chooses music themselves. The results show that the participants enjoyed more the music-enhanced exercises with the robot coach. Also, the music genre needs to be personalized, and the results on the autonomy of choice (robot or themselves), were mixed, however, the majority preferred the robot to choose the music. Further research is needed to make a successful personalized Social Assistive Robot, that utilizes music in its interactions.

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Notes

  1. 1.

    Technical data about Socibot mini through this https://wiki.engineeredarts.co.uk/socibot_at_a_glance.

  2. 2.

    Het OTAGO thuisoefenprogramma, https://interventies.loketgezondleven.nl/leefstijlinterven- ties/interventies-zoeken/1500062, last accessed 2019/11/15.

References

  1. Baert, V., Gorus, E., Mets, T., Geerts, C., Bautmans, I.: Motivators and barriers for physical activity in the oldest old: a systematic review. Ageing Res. Rev. 10(4), 464–474 (2011). https://doi.org/10.1016/j.arr.2011.04.001

    Article  Google Scholar 

  2. Schutzer, K., Sue Graves, B.: Barriers and motivations to exercise in older adults. Prev. Med. 39(5), 1056–1061 (2004). https://doi.org/10.1016/j.ypmed.2004.04.003

    Article  Google Scholar 

  3. Silveira, P., Reve, E.V.H., Daniel, F., Casati, F., Bruin, E.D.D.: Motivating and assisting physical exercise in independently living older adults: a pilot study. Int. J. Med. Inform. 82(5), 325–334 (2013). https://doi.org/10.1016/j.ijmedinf.2012.11.015

    Article  Google Scholar 

  4. Mullen, S.P., et al.: Measuring enjoyment of physical activity in older adults: invariance of the physical activity enjoyment scale (paces) across groups and time. Int. J. Behav. Nutr. Phys. Act. 8(1), 103 (2011). https://doi.org/10.1186/1479-5868-8-103

    Article  Google Scholar 

  5. Fried, L.P., Tangen, C.M., Walston, J., Newman, A.B., Hirsch,C., Gottdiener,J., et al.: Frailty in older adults: Evi-dence for a phenotype. J. Gerontol. Ser. A, Biol. Sci. Med. Sci. 56(3), M146–M156 (2001). https://doi.org/10.1093/ge-rona/56.3.M146

  6. Olde Keizer, R.A.C.M., et al.: Using socially assistive robots for monitoring and preventing frailty among older adults: a study on usability and user experience challenges. Heal. Technol. 9(4), 595–605 (2019). https://doi.org/10.1007/s12553-019-00320-9

    Article  Google Scholar 

  7. Ahmed, N., Mandel, R., Fain, M.J.: Frailty: an emerging geriatric syndrome. Am. J. Med. 120(9), 748–753 (2007). https://doi.org/10.1016/j.amjmed.2006.10.018

    Article  Google Scholar 

  8. Faber, M.J., Bosscher, R.J., China Paw, M.J., van Wieringen, P.C.: Effects of exercise programs on falls and mobility in frail and pre-frail older adults: a multicenter ran- domized controlled trial. Prim. Health Care 17(3), 35 (2007). https://doi.org/10.7748/phc.17.3.35.s22

    Article  Google Scholar 

  9. Espinoza, S., Walston, J.D.: Frailty in older adults: insights and interventions. Clevel. Clin. J. Med. 72(12), 1105–1112 (2005). https://doi.org/10.3949/ccjm.72.12.1105

    Article  Google Scholar 

  10. Novak, D., Nagle, A., Keller, U., Riener, R.: Increasing motivation in robot-aided arm rehabilitation with competitive and cooperative gameplay. J. Neuroeng. Rehabil. 11(1), 64 (2014). https://doi.org/10.1186/1743-0003-11-64

    Article  Google Scholar 

  11. Kendzierski, D., Decarlo, K.J.: Physical activity enjoyment scale: two validation studies. J. Sport Exerc. Psychol. 13(1), 50–64 (1991). https://doi.org/10.1123/jsep.13.1.50

    Article  Google Scholar 

  12. Stork, M.J., Kwan, M.Y.W., Gibala, M.J., Ginis, K.A.M.: Music enhances performance and perceived enjoyment of sprint interval exercise. Med. Sci. Sports Exerc. 47(5), 1052–1060 (2015). https://doi.org/10.1249/mss.0000000000000494

    Article  Google Scholar 

  13. Vuilleumier, P., Trost, W.: Music and emotions: from enchantment to entrainment. Ann. N. Y. Acad. Sci. 1337(1), 212–222 (2015). https://doi.org/10.1111/nyas.12676

    Article  Google Scholar 

  14. Meyns, P., et al.: Do a humanoid robot and music increase the motivation to perform physical activity? A quasi-experimental cohort in typical developing children and preliminary findings in hospitalized children in neutropenia. Int. J. Hum. Comput. Stud. 122, 90–102 (2019). https://doi.org/10.1016/j.ijhcs.2018.07.010

    Article  Google Scholar 

  15. Colombo, R., Pisano, F., Mazzone, A., Delconte, C., Micera, S., Carrozza, M. C., … Minuco, G.: Design strategies to improve patient motivation during robot-aided rehabilitation. J. Neuro Eng. Rehabil. 4(1) (2007). https://doi.org/10.1186/1743-0003-4-3

  16. Schneider, S., Goerlich, M., Kummert, F.: A framework for designing socially assistive robot interactions. Cogn. Syst. Res. 43, 301–312 (2017). https://doi.org/10.1016/j.cogsys.2016.09.008

    Article  Google Scholar 

  17. Fasola, J., Mataric, M.J.: Robot motivator: Increasing user enjoyment and perfor- mance on a physical/cognitive task. In: 2010 IEEE 9th International Conference on Development and Learning (2010). https://doi.org/10.1109/devlrn.2010.5578830

  18. Lotfi, A., Langensiepen, C., Yahaya, S.: Socially assistive robotics: robot exercise trainer for older adults. Technologies 6(1), 32 (2018). https://doi.org/10.3390/technologies6010032

    Article  Google Scholar 

  19. Görer, B., Salah, A.A., Akın, H.L.: An autonomous robotic exercise tutor for elderly people. Auton. Robot. 41(3), 657–678 (2016). https://doi.org/10.1007/s10514-016-9598-5

    Article  Google Scholar 

  20. Fasola, J., Mataric, M.J.: Using socially assistive human-robot interaction to motivate physical exercise for older adults. Proc. IEEE 100(8), 2512–2526 (2012). https://doi.org/10.1109/jproc.2012.2200539

    Article  Google Scholar 

  21. Liu, B., Markopoulos, P., Tetteroo, D.: How anthropomorphism affects user ac ceptance of a robot trainer in physical rehabilitation. In: Proceedings of the 12th International Joint Conference on Biomedical Engineering Systems and Technologies (2019). https://doi.org/10.5220/0007343600300040

  22. Haselton, M.G., Nettle, D., Murray, D.R.: The Evolution of Cognitive Bias. Handb. Evol. Psychol. 1–20 (2015). https://doi.org/10.1002/9781119125563.evpsych241

    Google Scholar 

  23. Karageorghis, C., Jones, L., Stuart, D.: Psychological effects of music tempi during exercise. Int. J. Sports Med. 29(7), 613–619 (2008). https://doi.org/10.1055/s-2007-989266

    Article  Google Scholar 

  24. Feng, Y., Yu, S., van de Mortel, D., Barakova, E., Hu, J., Rauterberg, M.: LiveNa ture: ambient display and social robot-facilitated multi-sensory engagement for people with dementia. In: Proceedings of the 2019 on Designing Interactive Systems Conference, pp. 1321–1333 (2019)

    Google Scholar 

  25. Song, H., Zhang, Z., Barakova, E. I., Ham, J., Markopoulos, P.: Robot role design for implementing social facilitation theory in musical instruments practicing. In: Proceed ings of the 2020 ACM/IEEE International Conference on Human-Robot Interaction, pp. 253–260 (2020)

    Google Scholar 

  26. Ghazali, A.S., Ham, J., Barakova, E., Markopoulos, P.: Assessing the effect of persuasive robots interactive social cues on users’ psychological reactance, liking, trusting beliefs and compliance. Adv. Robot. 33(7–8), 325–337 (2019)

    Article  Google Scholar 

  27. Baur, K., Speth, F., Nagle, A., Riener, R., Klamroth-Marganska, V.: Music meets robotics: a prospective randomized study on motivation during robot aided therapy. J. Neuroeng. Rehabil. 15(1), 79 (2018)

    Article  Google Scholar 

  28. Ghazali, A.S., Ham, J., Barakova, E., Markopoulos, P.: Persuasive robots acceptance model (PRAM): roles of social responses within the acceptance model of persuasive robots. Int. J. Soc. Robot. 12, 1075–1092 (2020)

    Article  Google Scholar 

  29. Heerink, M., Kröse, B., Evers, V., Wielinga, B.: Assessing acceptance of assistive social agent technology by older adults: the almere model. Int. J. Soc. Robot. 2(4), 361–375 (2010)

    Article  Google Scholar 

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Acknowledgements

We would like to thank Maggie Song and Baisong Liu for their expertise and assistance on the topic of Social Assistive Robots, pre-frail elderly, and physical exercises. We would also like to thank De Zorggroep and the participants of the experiment for their input and cooperation.

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Authors and Affiliations

  1. Industrial Design, Eindhoven University of Technology, Eindhoven, The Netherlands

    Marlou Kellenaers, Daniel Tetteroo & Emilia Barakova

Authors
  1. Marlou Kellenaers
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  2. Daniel Tetteroo
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  3. Emilia Barakova
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Corresponding author

Correspondence to Daniel Tetteroo .

Editor information

Editors and Affiliations

  1. Faculty of Mechanical, Maritime and Materials Engineering, Delft University of Technology, Delft, The Netherlands

    Pablo Borja

  2. Faculty of Mechanical, Maritime and Materials Engineering, Delft University of Technology, Delft, The Netherlands

    Cosimo Della Santina

  3. Faculty of Mechanical, Maritime and Materials Engineering, Delft University of Technology, Delft, The Netherlands

    Luka Peternel

  4. Department of Mechanical Engineering, Eindhoven University of Technology, Eindhoven, The Netherlands

    Elena Torta

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Kellenaers, M., Tetteroo, D., Barakova, E. (2023). Influence of Music on Enjoyment of Pre-Frail Elderly While Doing Physical Exercises with a Robot Coach. In: Borja, P., Della Santina, C., Peternel, L., Torta, E. (eds) Human-Friendly Robotics 2022. HFR 2022. Springer Proceedings in Advanced Robotics, vol 26. Springer, Cham. https://doi.org/10.1007/978-3-031-22731-8_11

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