Abstract
With the advance of automation in recent years, the interaction between systems and users has become less intense and more monotonous. Thus, there is some concern that the arousal level of users is liable to decrease while interacting with a system. The decrease in the arousal levels of users causes drowsiness in their bodies and deterioration of their performance, potentially leading to serious accidents. Thus, it is necessary to establish a method for maintaining arousal level. At present, external-stimulation methods such as sounds or vibrations are popular; on the other hand, some psychophysiological studies have suggested a relationship between motivation and arousal, but there has been little research on how to apply these studies, as well as only a few examples of practical application. Therefore, in this research, we propose and verify a method for maintaining arousal by inducing intrinsic motivations. This arousal maintenance was found to work well during manual operations, but to be less effective by influence of stress during automatic operations. In addition, the varieties of presentation of feedbacks and the arousal level during operations were found to be influenced the effectiveness.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Yoshiyuki M et al (2016) Arousal retention effect of magnetic stimulation to car drivers preventing drowsy driving without sleep rebound. IEEJ Trans Electron Inf Syst 136(3):383–389
Yukie H (2000) A study on the effective method of aroma release program for keeping alertness. In: Proceedings of social automotive engineers of Japan, 61-00, pp 5–8
Psychology Notes HQ. The Arousal Theory of Motivation. https://www.psychologynoteshq.com/arousal-theory-of-motivation. Accessed 30 Jan 2018
Deci EL, Ryan RM (2002) Handbook of self-determination research. University of Rochester Press
Deci EL, Ryan RM (1985) Intrinsic motivation and self-determination in human behavior. Springer, Heidelberg
Mafumi U (1992) The effects of perceived competence and self-determination on intrinsic motivation. Jpn J Soc Psychol 7(2):85–91
Shigeo S (1984) The comparison of the effects of language and token rewards on intrinsic motivation. Jpn J Educ Psychol 32(4):286–295
Masaharu K (2004) Forfront of research of motivation. Kitaooji Shobo Publishing
Lepper MR, Hodell M (1989) Intrinsic motivation in the classroom. Res Motiv Educ 3:73–105
Kenichiro F (2002) Intrinsically motivated cooperation: merits and demerits of monetary reward in social survey. Infrastruct Plan Rev 19(1):137–143
Makoto T (1996) Analysis of the relationship between sleepiness and relaxation using a newly developed mental work strain checklist. J Sci Labour 72(3):89–100
Yoshihiko A, Kenichi K (2012) Brain activation related to work efficiency while listening to background music. Bull Gunma Prefect Coll Health Sci 7:45–53
Hiroshi S, Toshihiro K (2006) A change of the blood hemoglobin density in a prefrontal area at the time of attention control task enforcement: examination with “Kanahiroi” multi-cancellation test. Annual reports of School of Health Sciences Faculty of Medicine. Kyoto University, vol 3, pp 7–15
Taketoshi O, Hisao N (2005) Mechanism of emotion and intelligent information processing. High Brain Funct Res 25(2):116–128
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2019 Springer Nature Switzerland AG
About this paper
Cite this paper
Mekata, Y., Takeuchi, S., Yamamoto, T., Kamiya, N., Suzuki, T., Nakanishi, M. (2019). Proposal and Verification of a Method for Maintaining Arousal by Inducing Intrinsic Motivation: Aiming at Application to Driving of Automobiles. In: Bagnara, S., Tartaglia, R., Albolino, S., Alexander, T., Fujita, Y. (eds) Proceedings of the 20th Congress of the International Ergonomics Association (IEA 2018). IEA 2018. Advances in Intelligent Systems and Computing, vol 819. Springer, Cham. https://doi.org/10.1007/978-3-319-96089-0_30
Download citation
DOI: https://doi.org/10.1007/978-3-319-96089-0_30
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-96088-3
Online ISBN: 978-3-319-96089-0
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)