Abstract
Social robots have become an important way to alleviate the impact of aging on society and families. This study aims to explore the influence of the living state of the elderly on robot acceptance. Based on Unified Theory of Acceptance and Use of Technology (UTAUT) questionnaire, this study conducted a questionnaire survey for the elderly. The results show that performance expectancy, social influence, facilitating conditions have significant positive effects on robot acceptance of the elderly. In addition, the gender of aging adults moderates the influence of performance expectancy on robot acceptance, the experience of using intelligent products for the elderly moderates the impact of social influence on robot acceptance, and the living state of the elderly moderates the significant influence of facilitating conditions on robot acceptance. Intelligent robots can improve the lives of aging adults living alone, and the higher the convenience of robots, the stronger the usage intention of aging adults living alone to use robots. The results of this study can help relevant researchers to better understand the psychological needs of the elderly, provide ideas for the design of robot products, and provide references for the establishment of social pension system.
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References
Funk, L., Stajduhar, K., Toye, C., Aoun, S., Grande, G., Todd, C.: Home-based family caregiving at the end of life: a comprehensive review of published qualitative research (1998–2008). Palliat. Med. 24, 594–607 (2010)
Stajduhar, K., Funk, L., Toye, C., Grande, G., Aoun, S., Todd, C.: Home-based family caregiving at the end of life: a comprehensive review of published quantitative research (1998–2008). Palliat. Med. 24, 573–593 (2010)
Hudson, P.: Applying the lessons of high risk industries to health care. BMJ Qual. Saf. 12(Suppl. 1), i7–i12 (2003)
Aoun, S., Kristjanson, L., Currow, D., Hudson, P.: Caring for the terminally ill: at what cost? Palliat. Med. 19, 551–555 (2005)
Rolls, L., Seymour, J.E., Froggatt, K.A., Hanratty, B.: Older people living alone at the end of life in the UK: research and policy challenges. Palliat. Med. 25(6), 650–657 (2011)
Venkatesh, V., Morris, M.G., Davis, G.B., Davis, F.D.: User acceptance of information technology: toward a unified view. MIS Q. 27, 425–478 (2003)
Peek, S.T., Wouters, E.J., Van Hoof, J., Luijkx, K.G., Boeije, H.R., Vrijhoef, H.J.: Factors influencing acceptance of technology for aging in place: a systematic review. Int. J. Med. Inform. 83(4), 235–248 (2014)
Aoun, S.M., Breen, L.J., Howting, D.: The support needs of terminally ill people living alone at home: a narrative review. Health Psychol. Behav. Med. 2, 951–969 (2014)
Aoun, S., Kristjanson, L.J., Oldham, L., Currow, D.: A qualitative investigation of the palliative care needs of terminally ill people who live alone. Collegian 15(1), 3–9 (2008)
Aoun, S., Kristjanson, L.J., Currow, D., Skett, K., Oldham, L., Yates, P.: Terminally ill people living alone without a caregiver: an Australian national scoping study of palliative care needs. Palliat. Med. 21, 29–34 (2007)
Currow, D.C., Christou, T., Smith, J., Carmody, S., Lewin, G., Aoun, S., et al.: Do terminally ill people who live alone miss out on home oxygen treatment? An hypothesis generating study. J. Palliat. Med. 11, 1015–1022 (2008)
Aday, R.H., Kehoe, G.C., Farney, L.A.: Impact of senior center friendships on aging women who live alone. J. Women Aging 18(1), 57–73 (2006)
Gaugler, J.E., Duval, S., Anderson, K.A., Kane, R.L.: Predicting nursing home admission in the US: a meta-analysis. BMC Geriatr. 7(1), 13 (2007)
Luppa, M., Luck, T., Weyerer, S., König, H.H., Brähler, E., Riedel-Heller, S.G.: Prediction of institutionalization in the elderly. A systematic review. Age Ageing 39(1), 31–38 (2009)
Perissinotto, C.M., Cenzer, I.S., Covinsky, K.E.: Loneliness in older persons: a predictor of functional decline and death. Arch. Internal Med. 172(14), 1078–1084 (2012)
McColl, D., Nejat, G.: Meal-time with a socially assistive robot and older adults at a long-term care facility. J. Hum.-Robot Interact. 2(1), 152–171 (2013)
Góngora Alonso, S., Hamrioui, S., de la Torre Díez, I., Motta Cruz, E., López-Coronado, M., Franco, M.: Social robots for people with aging and dementia: a systematic review of literature. Telemedicine e-Health 25(7), 533–540 (2019)
Heerink, M.: Exploring the influence of age, gender, education and computer experience on robot acceptance by older adults. In: Proceedings of the 6th International Conference on Human-Robot Interaction, pp. 147–148. ACM, New York City (2011)
Heerink, M., Kröse, B., Evers, V., Wielinga, B.: The influence of social presence on acceptance of a companion robot by older people. J. Phys. Agents 2(2), 33–40 (2008)
Liao, C., Palvia, P., Chen, J.L.: Information technology adoption behavior life cycle: toward a technology continuance theory (TCT). Int. J. Inf. Manag. 29(4), 309–320 (2009)
Venkatesh, V., Davis, F., Morris, M.G.: Dead or alive? The development, trajectory and future of technology adoption research. J. Assoc. Inf. Syst. 8(4), 267–286 (2007)
Zheng, K., Padman, R., Johnson, M.P., Diamond, H.S.: Evaluation of healthcare IT applications: the user acceptance perspective. Soc. Psychol. 65, 49–78 (2007)
Bhattacherjee, A., Premkumar, G.: Understanding changes in belief and attitude toward information technology usage: a theoretical model and longitudinal test. MIS Q. 28, 229–254 (2004)
Karahanna, E., Straub, D.W., Chervany, N.L.: Information technology adoption across time: a cross-sectional comparison of pre-adoption and post-adoption beliefs. MIS Q. 23, 183–213 (1999)
Bagozzi, R.P.: The legacy of the technology acceptance model and a proposal for a paradigm shift. J. Assoc. Inf. Syst. 8(4), 244–254 (2007)
Bouwhuis, D.G., Meesters, L.M.J., Sponselee, A.A.M.: Models for the acceptance of tele-care solutions: intention vs behaviour. Gerontechnology 11, 45–55 (2012)
Yousafzai, S.Y., Foxall, G.R., Pallister, J.G.: Technology acceptance: a meta-analysis of the TAM: part 2. J. Model. Manag. 2(3), 281–304 (2007)
Chen, K., Chan, A.H.S.: A review of technology acceptance by older adults. Gerontechnology 10, 1–12 (2011)
Kuo, I.H., et al.: Age and gender factors in user acceptance of healthcare robots. In: Proceedings of the 18th IEEE International Symposium on Robot and Human Interactive Communication, Hawaii, pp. 214–219. IEEE (2009)
McDermott, H., Choudhury, N., Lewin-Runacres, M., Aemn, I., Moss, E.: Gender differences in understanding and acceptance of robot-assisted surgery. J. Robot. Surg. 14(1), 227–232 (2019). https://doi.org/10.1007/s11701-019-00960-z
Acknowledgement
This study was funded by a Ministry of Education of Humanities and Social Science project 19YJC840002, a Beijing Social Science Fund 17SRC021 and a Beijing Natural Science Foundation 9184029.
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Chen, N., Liu, X., Sun, Y. (2020). Study on Acceptance of Social Robots by Aging Adults Living Alone. In: Stephanidis, C., Antona, M., Gao, Q., Zhou, J. (eds) HCI International 2020 – Late Breaking Papers: Universal Access and Inclusive Design. HCII 2020. Lecture Notes in Computer Science(), vol 12426. Springer, Cham. https://doi.org/10.1007/978-3-030-60149-2_37
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