Abstract
Indonesia, the world’s fourth most populous nation, is an aging country. The significant demographic changes force this middle-income developing country to prepare for the new society. We proposed chatbot usage as a new medium for the baby-boomers to interact. This cohort will or already enter their retirement age soon. We argue this technology suitable due to familiarity with the usage. This research uses quasi-experimental research in the form of within-subject measurement implemented to the people older than 55 years old and user of cross-platform messaging service with simple memory training. A chatbot prototype called Chatty Bot was developed to learn the participants’ ability to detect the features given. Chatty Bot has proven acceptable for its system’s usability and predicted to still be used by the majority of the participants for at least one month. The simple chatbot technology recommended enhances the effective communication channel, related but not limited only to healthy aging.
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
Grazuleviciute-Vileniske, I., Seduikyte, L., Teixeira-Gomes, A., Mendes, A., Borodinecs, A., Buzinskaite, D.: Aging, living environment, and sustainability: what should be taken into account? Sustainability 12, 1853 (2020)
Carvalho, J., Francisco, R., Relvas, A.P.: Family functioning and information and communication technologies: How do they relate? a literature review. Comput. Hum. Behav. 45, 99–108 (2015)
Bhutta, Z.I., Sheikh, J.A., Yousaf, A.: Usage of mobile phones amongst elderly people in Pakistan. In: Rebelo, F., Soares, M. (eds.) AHFE 2017. AISC, vol. 588, pp. 621–630. Springer, Cham (2018). https://doi.org/10.1007/978-3-319-60582-1_62
Wianto, E., Chen, C.-H., Defi, I.R., Sartika, E.M., Hangkawidjaja, A.D., Lin, Y.-C.: Understanding interactivity for the needs of the elderly’s strength training at nursing home in Indonesia. In: DRS2020, Synergy, p. 1408. Design Research Society (2020)
Blondell, S.J., Hammersley-Mather, R., Veerman, J.L.: Does physical activity prevent cognitive decline and dementia?: a systematic review and meta-analysis of longitudinal studies. BMC Public Health 27, 510 (2014)
Zaval, L., Li, Y., Johnson, E.J., Weber, E.U.: Complementary contributions of fluid and crystallized intelligence to decision making across the life span. In: Hess, T.M., Löckenhoff, C.E. (ed.) Aging and Decision Making: Empirical and Applied Perspectives, pp. 149–168. Elsevier Academic Press (2015)
Grossmann, I., Na, J., Varnum, M.E.W., Park, D.C., Kitayama, S., Nisbett, R.E.: Reasoning about social conflicts improves into old age. Proc. Natl. Acad. Sci. 107, 7246 (2010)
Kahana, E., Kahana, B.: Baby boomers’ expectations of health and medicine virtual mentor american medical association. J. Ethics 16, 380–384 (2014)
Yu, H.C., Miller, P.: Leadership style: the X Generation and Baby Boomers compared in different cultural contexts. Leadersh. Organ. Dev. J. 26 (2005)
Grudin, J.: Three faces of human-computer interaction. IEEE Ann. Hist. Comput. 27, 46–62 (2005)
Chiu, C.-J., Tasi, W.-C., Yang, W.-L., Guo, J.-L.: How to help older adults learn new technology? results from a multiple case research interviewing the internet technology instructors at the senior learning center. Comput. Educ. 129, 61–70 (2019)
Stephens, T.N., Joerin, A., Rauws, M., Werk, L.N.: TBM 9, 440–447 (2019)
Cicco, R.D., Silva, S.C.E., Alparone, F.R.: Millennials’ attitude toward chatbots: an experimental study in a social relationship perspective. Int. J. Retail Distrib. Manag. 48, 1212–1233 (2019)
Abras, C., Maloney-Krichmar, D., Preece, J.: User centered design. In: Bainbridge, W. (ed.) Encyclopedia of Human-Computer Interaction. Sage Publications, Thousand Oaks (2004)
Responden Survei Nasional Penetrasi Pengguna Internet. 2018. Asosiasi Penyelenggara Jasa Internet di Indonesia (2018)
Villegas-Ch, W., Arias-Navarrete, A., Palacios-Pacheco, X.: Proposal of an Architecture for the Integration of a Chatbot with Artificial Intelligence in a Smart Campus for the Improvement of Learning. Sustainability 12, (2020)
Hill, R.D., J I Sheikh, J.Y.: The effect of mnemonic training on perceived recall confidence in the elderly. Exp Aging Res 13, 185–188 (1987)
Vranić, A., Španić, A.M., Carretti, B., Borella, E.: The efficacy of a multifactorial memory training in older adults living in residential care settings. Int Psychogeriatr 11, 1885–1897 (2013)
Dourish, P.: Where the Action is: The Foundations of Embodied Interaction. MIT Press (2004)
Acknowledgments
The authors are grateful to the partial financial support for this study provided by the Ministry of Science and Technology (MOST 109-2221-E-006-143) in Taiwan.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2021 The Author(s), under exclusive license to Springer Nature Switzerland AG
About this paper
Cite this paper
Wianto, E., Chen, CH., Chen, CC., Lin, CL. (2021). Chatty Bot: An Alternative to Implement a Memory Training Option for the Upcoming Older Adults in Indonesia. In: Kalra, J., Lightner, N.J., Taiar, R. (eds) Advances in Human Factors and Ergonomics in Healthcare and Medical Devices. AHFE 2021. Lecture Notes in Networks and Systems, vol 263. Springer, Cham. https://doi.org/10.1007/978-3-030-80744-3_48
Download citation
DOI: https://doi.org/10.1007/978-3-030-80744-3_48
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-80743-6
Online ISBN: 978-3-030-80744-3
eBook Packages: EngineeringEngineering (R0)