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소셜 지능로봇의 특성이 만족과 사용의도에 미치는 영향: 1인 가구 소셜 지능로봇 사용자를 중심으로

The Effect of Characteristics of Social Intelligence Robots on Satisfaction and Intention to Use: Focused on User of Single Person Households

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초록

Purpose: This study focused on the societal changes associated with the entry into an ultra-aged society and the increase in single-person households. The core objective of this research is to investigate how social intelligent robots can bring about positive changes in the lives of individuals in single-person households and how such changes influence user satisfaction and the intention to use these robots. Methods: The study employed a cross-sectional analysis using a structural equation model. A survey designed to assess the impact of social intelligent robots' characteristics, such as perceived encouragement, empathy, presence, appearance, and attachment, on user satisfaction and usage intentions was conducted. Data were collected from a total of 335 users and analyzed using the structural equation model. Results: In the characteristics of social intelligent robots for single-person households, it was found that empathy, presence, and attachment significantly influenced satisfaction, while perceived encouragement, empathy, and attachment significantly influenced usage intentions. The research results indicate differences between enhancing user satisfaction and increasing the intention to use social intelligent robots. The findings suggest the essential need for a user-centric approach in the design and development of social intelligent robots. Additionally, it was observed that emotional support plays a crucial role in users’ experiences with social intelligent robots. Conclusion: This study verified the impact of social intelligent robots on satisfaction and usage intentions based on users' experiences. It examined the influence of linguistic, visual, and personal characteristics of robots on user experiences, providing insights into how technological and human aspects of social intelligent robots interact to shape user satisfaction and usage intentions. Consequently, the study confirmed that social intelligent robots can bring positive changes to human life, emphasizing the necessity for the advancement of robot technology in a human-centric direction.

Abstract

Purpose: This study focused on the societal changes associated with the entry into an ultra-aged society and the increase in single-person households. The core objective of this research is to investigate how social intelligent robots can bring about positive changes in the lives of individuals in single-person households and how such changes influence user satisfaction and the intention to use these robots. Methods: The study employed a cross-sectional analysis using a structural equation model. A survey designed to assess the impact of social intelligent robots' characteristics, such as perceived encouragement, empathy, presence, appearance, and attachment, on user satisfaction and usage intentions was conducted. Data were collected from a total of 335 users and analyzed using the structural equation model. Results: In the characteristics of social intelligent robots for single-person households, it was found that empathy, presence, and attachment significantly influenced satisfaction, while perceived encouragement, empathy, and attachment significantly influenced usage intentions. The research results indicate differences between enhancing user satisfaction and increasing the intention to use social intelligent robots. The findings suggest the essential need for a user-centric approach in the design and development of social intelligent robots. Additionally, it was observed that emotional support plays a crucial role in users’ experiences with social intelligent robots. Conclusion: This study verified the impact of social intelligent robots on satisfaction and usage intentions based on users' experiences. It examined the influence of linguistic, visual, and personal characteristics of robots on user experiences, providing insights into how technological and human aspects of social intelligent robots interact to shape user satisfaction and usage intentions. Consequently, the study confirmed that social intelligent robots can bring positive changes to human life, emphasizing the necessity for the advancement of robot technology in a human-centric direction.

참고문헌 (71)

  1. Abdollahi, H., "Artificial emotional intelligence in socially assistive robots for older adults : A pilot study", IEEE Transactions on Affective Computing, 14(3), pp.2020~2032 (2023)
  2. Ashfaq, M., "I, chatbot : Modeling the determinants of users' satisfaction and continuance intention of AI-powered service agents", Telematics and Informatics, 54, pp.101473~ (2020)
  3. Azizaha, Y. N., "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), pp.577~588 (2020)
  4. Babin, B., "The nature of satisfaction : An updated examination and analysis", Journal of Business Research, 41(2), pp.127~136 (1998)
  5. Belanche, D., "Examining the effects of robots' physical appearance, warmth, and competence in frontline services: The humanness-value-loyalty model", Psychology & Marketing, 38(12), pp.2357~2376 (2021)
  6. Bhargava, A., "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), pp.106~113 (2021)
  7. Bilquise, G., "Emotionally intelligent chatbots : A systematic literature review", Human Behavior and Emerging Technologies, 2022, pp.9601630~ (2022)
  8. Birmingham, C., "Perceptions of cognitive and affective empathetic statements by socially assistive robots", 2022 17th ACM, 2022, 323~331
  9. Breazeal, C, "Social interactions in HRI: The robot view", IEEE Transactions on Systems, Man, and Cybernetics, Part C(Applications and Reviews), 34(2), pp.181~186 (2004)
  10. Brown, L. N., "The positive effects of verbal encouragement in mathematics education using a social robot", 2014 IEEE Integrated STEM Education Conference, 2014, pp.1~5 (2014)
  11. Caviggioli, F., "Technology adoption news and corporate reputation : Sentiment analysis about the introduction of bitcoin", Journal of Product & Brand Management, 29(7), pp.877~897 (2020)
  12. Chatzoglou, P. D., "Factors affecting acceptance of social robots among prospective users", International Journal of Social Robotics, 151(2022), pp.104033~ (2023)
  13. Chin, W. W, "Modern methods for business research. Methodology for business and management", pp.295~336 (1998), Lawrence Erlbaum Associates Publishers
  14. Chita-Tegmark, M., "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), pp.197~217 (2021)
  15. Choi, M. S, "A study on social robot emotional expression face for emotional empathy", PhD, Design, Crafts and Industrial Design majors, pp.2022
  16. Czepiel, J., "Customer satisfaction : Concept and measurement", Journal of Academy of Marketing Science, 5(4), pp.403~411 (1977)
  17. Davis, F. D, "Perceived usefulness, perceived ease of use, and user acceptance of information technology", MIS Quarterly, 13(3), pp.319~340 (1989)
  18. Davison, D. P., "Words of encouragement : How praise delivered by a social robot changes children's mindset for learning", Journal on Multimodal User Inerfaces, 15, pp.61~76 (2021)
  19. De Graaf, M. M., "Exploring influencing variables for the acceptance of social robots", Robotics and Autonomous Systems, 61(12), pp.1476~1486 (2013)
  20. Deng, T., "Measuring smartphone usage and task switching with log tracking and self-reports", Mobile Media & Communication, 7(1), pp.3~23 (2019)
  21. Dziergwa, M., "Long-term cohabitation with a social robot : A case study of the influence of human attachment patterns", International Journal of Social Robotics, 10(1), pp.163~176 (2018)
  22. Ebadi, S., "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, pp.1~19 (2022)
  23. Gatzioufa, P., "A literature review on users' behavioral intention toward chatbots’ adoption", Applied Computing and Informatics, 2022(5), pp.1~14 (2022)
  24. Gebhard, P., "Modeling trust and empathy for socially interactive robots", Multimodal agents for ageing and multicultural societies: Communications of NII Shonan Meetings, pp.21~60 (2021)
  25. Hair Jr, J. F., "Partial least squares structural equation modeling(PLS-SEM)", European Business Review, 26(2), pp.106~121 (2014)
  26. Henschel, A., "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), pp.9~19 (2021)
  27. Homburg, R. S, "Survey of emotions in human-robot interactions : Perspectives from robotic psychology on 20 years of research", International Journal of Social Robotics, 14(2), pp.389~411 (2022)
  28. Hwang, Y. H., "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), pp.329~346 (2023)
  29. Jo, S, J, "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), pp.193~204 (2023)
  30. Joo, Y. J., "Examination of relationships among students’ self-determination, technology acceptance, satisfaction, and continuance intention to use K-MOOCs", Computers & Education, 122, pp.260~272 (2018)
  31. Jung, K, H., "Prediction of the elderly’s usage intention of wearable robots : Focusing on the technology acceptance model", Journal of Korea Society for Wellness, 17(2), pp.271~278 (2022)
  32. Kervenoael, R., "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, pp.104042~ (2020)
  33. Kim, D, S., "A study on the effect of customer contact service in dessert cafe on customer satisfaction and behavioral intention", Journal of Foodservice Management, 25(4), pp.7~21 (2022)
  34. Kim, G, J., "dentifying the role of"Fun"and"Data Security"on intention to use incheon airport’s AI service robot", Korea Logistics Review, 29(6), pp.25~36 (2019)
  35. Kim, H, S., "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), pp.49~71 (2023)
  36. Kim, M, H, "Structural relationship analysis between human-animal interaction, empathic ability, self-comfort ability. Interpersonal Stress, and Interpersonal Relationship of Companion Animal Caregivers", PhD, pp.2023
  37. Kim, Y., "Quality, perceived usefulness, user satisfaction, and intention to use : An empirical study of ubiquitous personal robot service", Asian Social Science, 10(11), pp.1~ (2014)
  38. Ko, Y, M., "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), pp.75~93 (2022)
  39. Krueger, F., "Human-dog relationships as a working framework for exploring human-robot attachment : a multidisciplinary review", Animal Cognition, 24, pp.371~385 (2021)
  40. Kwon, Y, M., "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), pp.151~181 (2023)
  41. Lee, B., "Does appearance matter? Validating engagement in therapy protocols with socially interactive humanoid robots", 2017 IEEE Symposium Series on Computational Intelligence, Honolulu USA, 2017, pp.1~6 (2017)
  42. Lee, J. Y, "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), pp.895~925 (2023)
  43. Liu, X. S., "Friendly or competent? The effects of perception of robot appearance and service context on usage intention", Annals of Tourism Research, 92, pp.103324~ (2022)
  44. Mai, L. W., "Canonical correlation analysis of customer satisfaction and future purchase of mail-order speciality food", British Food Journal, 101(11), pp.857~870 (1999)
  45. Naneva, S., "A systematic review of attitudes, anxiety, acceptance, and trust towards social robots", International Journal of Social Robotics, 12(6), pp.1179~1201 (2020)
  46. "A single-person househod based on statistics" (2023)[URL]
  47. Nguyen, M. T., "A comprehensive review : Interaction of appearance and behavior, artificial skin, and humanoid robot", Journal of Robotics, 2023, pp.5589845~ (2023)
  48. Ni, A., "Understanding secondary students’ continuance intention to adopt AI-powered intelligent tutoring system for English learning", Education and Information Technologies, 28(3), pp.3191~3216 (2023)
  49. Nunnally, J. C., "Psychometric theory" (1994), McGraw-Hill Education
  50. Oliver. R. L, "A cognitive model of the antecedents and consequences of satisfaction decisions", Journal of Marketing Research, 17(4), pp.460~469 (1980)
  51. Parasuraman, A, "Technology readiness index(TRI) : A multiple-item scale to measure readiness to embrace new technologies", Journal of Service Research, 2(4), pp.307~321 (2000)
  52. Park, S., "Empathy in human-robot interaction : Designing for social robots", International Journal of Environmental Research and Public Health, 19(3), pp.1889~ (2022)[DOI]
  53. Park, Y. J, "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", PhD, Department of Early Childhood Education, pp.2022
  54. Pelau, C., "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, pp.106855~ (2021)
  55. Pnevmatikos, D., "Designing a socially assistive robot for education through a participatory design approach : Pivotal principles for the developers", International Journal of Social Robotics, 14(3), pp.763~788 (2022)
  56. Rabb, N., "An attachment framework for human-robot Interaction", International Journal of Social Robotics, 14(2), pp.539~559 (2022)
  57. Rasouli, S., "Potential applications of social robots in robot-assisted interventions for social anxiety", International Journal of Social Robotics, 14(5), pp.1~32 (2022)
  58. Robinson, R., "Authenticity and festival food service experiences", Annals of Tourism Research, 39(2), pp.571~600 (2012)
  59. Rogers, E. M, "Diffusion of innovations" (2003), Free Press
  60. Rossi, S., "The role of personality factors and empathy in the acceptance and performance of a social robot for psychometric evaluations", Robotics, 9(2), pp.39~ (2020)
  61. "PLS Modeling with R, Trowchez Editions" (2013)[URL]
  62. Seo, J., "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), pp.571~591 (2022)
  63. Shin, D. -H., "Modeling the acceptance of socially interactive robotics : Social presence in human-robot interaction", Interaction Studies, 12(3), pp.430~460 (2011)
  64. Statistics Korea, "A single-person household based on 2023 statistics", Press release, ~ (2023)
  65. Stock, R. M., "Impacts of hedonic and utilitarian user motives on the innovativeness of user-developed solutions", Journal of Product Innovation Management, 32(3), pp.389~403 (2015)
  66. Sung, Y. B., "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), pp.589~606 (2023)
  67. Tsai, W-H. S., "How chatbots' social presence communication enhances consumer engagement : the mediating role of parasocial interaction and dialogue", Journal of Research in Interactive Marketing, 15(3), pp.460~482 (2021)
  68. Venkatesh, V., "Consumer acceptance and use of information technology : Extending the unified theory of acceptance and use of technology", MIS Quarterly, 36(1), pp.157~178 (2012)
  69. Yang, Y. K, "The structural relationships among self-encouragement, social support, desire for re-employment, and job preparation behavior of career interrupted women", PhD, Department of Agricultural Economics and Education, pp.2022
  70. Yeo, S. -K., "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), pp.67~78 (2023)

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