References
- Abdollahi, H., Mahoor, M. H., Zandie, R., Siewierski, J., and Qualls, S. H. 2023. Artificial emotional intelligence in socially assistive robots for older adults: A pilot study. IEEE Transactions on Affective Computing 14(3):2020-2032. https://doi.org/10.1109/TAFFC.2022.3143803
- Ashfaq, M., Yun, J., Yu, S., and Loureiro, S. M. C. 2020. I, chatbot: Modeling the determinants of users' satisfaction and continuance intention of AI-powered service agents. Telematics and Informatics 54:101473.
- Azizaha, Y. N., Rijalb, M. K., Rumainurc, U. N. R., Pranajayae, S. A., Ngiuf, Z., Mufidg, A., Purwantoh, A., and Maui, D. H. 2020. Transformational or transactional leadership style: Which affects work satisfaction and performance of Islamic university lecturers during COVID-19 pandemic. Systematic Reviews in Pharmacy 11(7):577-588.
- Babin, B., and Griffin, M. 1998. The nature of satisfaction: An updated examination and analysis. Journal of Business Research 41(2):127-136. https://doi.org/10.1016/S0148-2963(97)00001-5
- Belanche, D., Casalo, L. V., Schepers, J., and Flavian, C. 2021. Examining the effects of robots' physical appearance, warmth, and competence in frontline services: The humanness-value-loyalty model Psychology & Marketing 38(12):2357-2376. https://doi.org/10.1002/mar.21532
- Bhargava, A., Bester, M., and Bolton, L. 2021. Employees' perceptions of the implementation of robotics, artificial intelligence, and automation(RAIA) on job satisfaction, job security, and employability. Journal of Technology in Behavioral Science 6(1):106-113. https://doi.org/10.1007/s41347-020-00153-8
- Bilquise, G., Ibrahim, S., and Shaalan, K. 2022. Emotionally intelligent chatbots: A systematic literature review. Human Behavior and Emerging Technologies 2022:9601630.
- Birmingham, C., Perez, A., and Mataric, M. 2022. Perceptions of cognitive and affective empathetic statements by socially assistive robots. 2022 17th ACM /IEEE International Conference on Human -Robot Interaction, Sapporo, Japan, 323-331, doi: 10.1109/HRI53351.2022.9889386.
- Breazeal, C. 2004. Social interactions in HRI: The robot view. IEEE Transactions on Systems, Man, and Cybernetics, Part C(Applications and Reviews) 34(2):181-186. https://doi.org/10.1109/TSMCC.2004.826268
- Brown, L. N., and Howard, A. M. 2014. The positive effects of verbal encouragement in mathematics education using a social robot. 2014 IEEE Integrated STEM Education Conference, Princeton, NJ, USA, 2014, 1-5, doi: 10.1109/ISECon.2014.6891009.
- Caviggioli, F., Lamberti, L., Landoni, P., and Meola, P. 2020. Technology adoption news and corporate reputation: Sentiment analysis about the introduction of bitcoin. Journal of Product & Brand Management 29(7):877-897. https://doi.org/10.1108/JPBM-03-2018-1774
- Chatzoglou, P. D., Lazaraki, V., Apostolidis, S. D., and Gasteratos, A. C. 2023. Factors affecting acceptance of social robots among prospective users. International Journal of Social Robotics 151(2022):104033.
- Chin, W. W. 1998. The partial least squares approach to structural equation modeling in modern methods for business research. In G. A. Marcoulides (Ed.), Modern methods for business research. Methodology for business and management, Hillsdale, NJ:Lawrence Erlbaum Associates Publishers. 295-336.
- Chita-Tegmark, M., and Scheutz, M. 2021. Assistive robots for the social management of health: A framework for robot design and human-robot interaction research. International Journal of Social Robotics 13(2):197-217. https://doi.org/10.1007/s12369-020-00634-z
- Choi, M. S. 2022. A study on social robot emotional expression face for emotional empathy. Design, Crafts and Industrial Design majors, PhD diss, Graduate School of Hongik University.
- Czepiel, J., and Rosenberg, L. 1977. Customer satisfaction: Concept and measurement. Journal of Academy of Marketing Science 5(4):403-411. https://doi.org/10.1007/BF02722070
- Davis, F. D. 1989. Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly 13(3):319-340. https://doi.org/10.2307/249008
- Davison, D. P., Wijnen, F. M., Charisi, V., Meij, J., Reidsma, D., and Evers, V. 2021. Words of encouragement: How praise delivered by a social robot changes children's mindset for learning. Journal on Multimodal User Inerfaces 15:61-76. https://doi.org/10.1007/s12193-020-00353-9
- De Graaf, M. M., and Allouch, S. B. 2013. Exploring influencing variables for the acceptance of social robots. Robotics and Autonomous Systems 61(12):1476-1486. https://doi.org/10.1016/j.robot.2013.07.007
- Deng, T., Kanthawala, S., Meng, J., Peng, W., Kononova, A., Hao, Q., Zhang, Q., and David, P. 2019. Measuring smartphone usage and task switching with log tracking and self-reports. Mobile Media & Communication 7(1):3-23. https://doi.org/10.1177/2050157918761491
- Dziergwa, M., Kaczmarek, M., Kaczmarek, P., Kedzierski, J., and Wadas-Szydlowska, K. 2018. Long-term cohabitation with a social robot: A case study of the influence of human attachment patterns. International Journal of Social Robotics, 10(1):163-176. https://doi.org/10.1007/s12369-017-0439-2
- Ebadi, S., and Amini, A. 2022. Examining the roles of social presence and human-likeness on iranian EFL learners' motivation using artificial intelligence technology: a case of CSIEC chatbot. Interactive Learning Environments. 1-19.
- Gatzioufa, P., and Saprikis, V. 2022. A literature review on users' behavioral intention toward chatbots' adoption. Applied Computing and Informatics 2022(5):1-14. https://doi.org/10.1108/ACI-01-2022-0021
- Gebhard, P., Aylett, R., Higashinaka, R., Jokinen, K., Tanaka, H., and Yoshino, K. 2021. Modeling trust and empathy for socially interactive robots. In Multimodal agents for ageing and multicultural societies: Communications of NII Shonan Meetings(pp.21-60). 10.1007/978-981-16-3476-5_2.
- Hair Jr, J. F., Sarstedt, M., Hopkins, L., and Kuppelwieser, V. G. 2014. Partial least squares structural equation modeling(PLS-SEM). European Business Review 26(2):106-121. https://doi.org/10.1108/EBR-10-2013-0128
- Henschel, A., Laban, G., and Cross, E. S. 2021. What makes a robot social? A review of social robots from science fiction to a home or hospital near you. Current Robotics Reports 2(1):9-19. https://doi.org/10.1007/s43154-020-00035-0
- Homburg, R. S. 2022. Survey of emotions in human-robot interactions: Perspectives from robotic psychology on 20 years of research. International Journal of Social Robotics 14(2):389-411. https://doi.org/10.1007/s12369-021-00778-6
- Hwang, Y. H., and Park, J. W. 2023. A study of the effects of an apartment community's servicescape on resident satisfaction and quality of life: A focus on new hope town. Journal of Korean Society for Quality Management, 51(3):329-346. https://doi.org/10.7469/JKSQM.2023.51.3.329
- Jo, S, J. 2023. The effect of food tech based robot barista cafe experiential value on customer satisfaction and revisit intention - Focused on moderating role of the recommendation intentions. Journal of The Korea Contents Association, 23(5):193-204. https://doi.org/10.5392/JKCA.2023.23.05.193
- Joo, Y. J., So, H.-J., and Kim, N. H. 2018. Examination of relationships among students' self-determination, technology acceptance, satisfaction, and continuance intention to use K-MOOCs. Computers & Education 122:260-272. https://doi.org/10.1016/j.compedu.2018.01.003
- Jung, K, H., and Kim, Y, M. 2022. Prediction of the elderly's usage intention of wearable robots: Focusing on the technology acceptance model. Journal of Korea Society for Wellness 17(2):271-278. https://doi.org/10.21097/ksw.2022.5.17.2.271
- Kervenoael, R., Hasan, R., Schwob, A., and Goh, E. 2020. Leveraging human-robot interaction in hospitality services: Incorporating the role of perceived value, empathy, and information sharing into visitors' intentions to use social robots. Tourism Management 78:104042.
- Kim, D, S., and Kim, H, I. 2022. A study on the effect of customer contact service in dessert cafe on customer satisfaction and behavioral intention. Journal of Foodservice Management 25(4):7-21.
- Kim, G, J., Park, S, J., and Lee, H, J. 2019. dentifying the role of "Fun" and "Data Security" on intention to use incheon airport's AI service robot. Korea Logistics Review 29(6):25-36.
- Kim, H, S., and Lim, H, C. 2023. The effects of the service quality and innovativeness of unmanned robot cafes on customer satisfaction and the intention to revisit:Test for the moderating effects of the user characteristics. Journal of Foodservice Management Society of Korea 26(6):49-71. https://doi.org/10.47584/jfm.2023.26.6.49
- Kim, M, H. 2023. Structural relationship analysis between human-animal interaction, empathic ability, self-comfort ability. Interpersonal Stress, and Interpersonal Relationship of Companion Animal Caregivers. Department of Educational Consulting, PhD diss, Graduate School of Pukyong National University.
- Kim, Y., and Lee, H. S. 2014. Quality, perceived usefulness, user satisfaction, and intention to use: An empirical study of ubiquitous personal robot service. Asian Social Science 10(11):1.
- Ko, Y, M., and Lee, I, J. 2022. The effects of perceived quality and perceived risk of automated robot cafe on intention to use: Consumer innovativeness as a moderating variable. Korean Journal of Hospitality and Tourism 31(5):75-93. https://doi.org/10.24992/KJHT.2022.7.31.05.75
- Krueger, F., Mitchell, K. C., Deshpande, G., and Katz, J. S. 2021. Human-dog relationships as a working framework for exploring human-robot attachment: a multidisciplinary review. Animal Cognition 24:371-385. https://doi.org/10.1007/s10071-021-01472-w
- Kwon, Y, M., and Song, J, H. 2023. Exploring the effects of relationships between consumers and AI speakers on consumers' control, satisfaction toward the AI speaker, and intention to use. Information Society and Media 24(1):151-181. https://doi.org/10.52558/ISM.2023.04.24.1.151
- Lee, B., Xu, J., and Howard, A. 2017. Does appearance matter? Validating engagement in therapy protocols with socially interactive humanoid robots. 2017 IEEE Symposium Series on Computational Intelligence, Honolulu USA, 2017, 1-6, doi: 10.1109/SSCI.2017.8285303.
- Lee, J. Y. 2023. The effects of technology acceptance factors and information search types on perceived risk, attitude and intention to use of cryptocurrency. Journal of the Korean Entrepreneurship Society 18(5):895-925.
- Liu, X. S., Yi, X. S., and Wan, L. C. 2022. Friendly or competent? The effects of perception of robot appearance and service context on usage intention. Annals of Tourism Research 92:103324.
- Mai, L. W., and Ness, M. R. 1999. Canonical correlation analysis of customer satisfaction and future purchase of mail-order speciality food. British Food Journal 101(11):857-870. https://doi.org/10.1108/00070709910301373
- Magazine Hankyung. 2019. A 'social robot' that wants to be a human partner. ttps://magazine.hankyung.com/business/article/202102184811b
- Naneva, S., Sarda Gou, M., Webb, T. L., and Prescott, T. J. 2020. A systematic review of attitudes, anxiety, acceptance, and trust towards social robots. International Journal of Social Robotics 12(6):1179-1201. https://doi.org/10.1007/s12369-020-00659-4
- National Statistical Office. 2023. A single-person househod based on statistics. http://kostat.go.kr.
- Nguyen, M. T., and Nguyen, T. N. 2023. A comprehensive review: Interaction of appearance and behavior, artificial skin, and humanoid robot. Journal of Robotics 2023:5589845.
- Ni, A., and Cheung, A. 2023. Understanding secondary students' continuance intention to adopt AI-powered intelligent tutoring system for English learning. Education and Information Technologies 28(3):3191-3216. https://doi.org/10.1007/s10639-022-11305-z
- Nunnally, J. C. and Bernstein, I. H. 1994. Psychometric theory. 3rd Edition. New York, NY: McGraw-Hill Education.
- Oliver. R. L. 1980. A cognitive model of the antecedents and consequences of satisfaction decisions. Journal of Marketing Research 17(4):460-469. https://doi.org/10.1177/002224378001700405
- Parasuraman, A. 2000. Technology readiness index (TRI): A multiple-item scale to measure readiness to embrace new technologies. Journal of Service Research 2(4):307-321. https://doi.org/10.1177/109467050024001
- Park, S., and Whang, M. 2022. Empathy in human-robot interaction: Designing for social robots. International Journal of Environmental Research and Public Health 19(3):1889. https://doi.org/10.3390/ijerph19031889.
- Park, Y. J. 2022. 4-to, 5-year-old Children's perception of robots: Focusing inference of life phenomena, vitality, appearance, and roles. Interpersonal Stress, and Interpersonal Relationship of Companion Animal Caregivers. Department of Early Childhood Education, PhD diss, Graduate School of Wonkwang University.
- Pelau, C., Dabija, D-C., and Ene, I. 2021. What makes an AI device human-like? The role of interaction quality, empathy and perceived psychological anthropomorphic characteristics in the acceptance of artificial intelligence in the service industry. Computers in Human Behavior 122:106855.
- Pnevmatikos, D., Christodoulou, P., and Fachantidis, N. 2022. Designing a socially assistive robot for education through a participatory design approach: Pivotal principles for the developers. International Journal of Social Robotics 14(3):763-788. https://doi.org/10.1007/s12369-021-00826-1
- Rabb, N., Law, T., Chita-Tegmark, M., and Scheutz, M. 2022. An attachment framework for human-robot Interaction. International Journal of Social Robotics 14(2):539-559. https://doi.org/10.1007/s12369-021-00802-9
- Rasouli, S., Gupta, G., Nilsen, E., and Dautenhahn, K. 2022. Potential applications of social robots in robot-assisted interventions for social anxiety. International Journal of Social Robotics 14(5):1-32. https://doi.org/10.1007/s12369-021-00851-0
- Robinson, R., and Clifford, C. 2012. Authenticity and festival food service experiences. Annals of Tourism Research 39(2):571-600. https://doi.org/10.1016/j.annals.2011.06.007
- Rogers, E. M. 2003. Diffusion of innovations(5th ed.). New York: Free Press.
- Rossi, S., Conti, D., Garramone, F., Santangelo, G., Staffa, M., Varrasi, S., and Di Nuovo, A. 2020. The role of personality factors and empathy in the acceptance and performance of a social robot for psychometric evaluations. Robotics 9(2):39.
- Sanchez, G. 2013. PLS Modeling with R, Trowchez Editions, Berkeley, http://www.gastonsanchez.com/PLS_Path_Modeling_with_R.pdf. Abdollahi.
- Seo, J., An, S., and Choi, J. I. 2022. A study on factors affecting intention to use online collaboration tools for the non-face-to-face educational environment. Journal of Korean Society for Quality Management 50(3):571-591.
- Shin, D.-H., and Choo, H. 2011. Modeling the acceptance of socially interactive robotics: Social presence in human-robot interaction. Interaction Studies 12(3):430-460. https://doi.org/10.1075/is.12.3.04shi
- Statistics Korea. 2023. A single-person household based on 2023 statistics. 2023.12.12. Press release.
- Stock, R. M., Oliveira, P., and Hippel, E. V. 2015. Impacts of hedonic and utilitarian user motives on the innovativeness of user-developed solutions. Journal of Product Innovation Management 32(3):389-403. https://doi.org/10.1111/jpim.12201
- Sung, Y. B., and Noh, Y. 2023. The effect of scuba diving resort service quality on customer satisfaction and revisit intention: Focusing on the moderating effect of perceived risk attributes. Journal of Korean Society for Quality Management 51(4):589-606.
- Tsai, W-H. S., Liu, Y., and Chuan, C-H. 2021. How chatbots' social presence communication enhances consumer engagement: the mediating role of parasocial interaction and dialogue. Journal of Research in Interactive Marketing 15(3):460-482. https://doi.org/10.1108/JRIM-12-2019-0200
- Venkatesh, V., Thong, J. Y. L,. and Xu, X. 2012. Consumer acceptance and use of information technology: Extending the unified theory of acceptance and use of technology. MIS Quarterly 36(1):157-178. https://doi.org/10.2307/41410412
- Yang, Y. K. 2022. The structural relationships among self-encouragement, social support, desire for re-employment, and job preparation behavior of career interrupted women. Department of Agricultural Economics and Education, PhD diss, Graduate School of Suncheon University.
- Yeo, S.-K., Lee, J.-H., Choi, W.-J., and Kim, K.-H. 2023. Analysis of the covid-19 pandemic-driven effect changes of quality factors on customer satisfaction in korean police civil affairs service. Journal of Korean Society for Quality Management 51(1):67-78.