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    Title: 捐贈情境中的服務機器人:正式與非正式語言使用之比較
    Service Robots in the Donation Context: A Comparison of Formal and Informal Language Use
    Authors: 高于涵
    Kao, Yu-Han
    Contributors: 朴星俊
    Park, Sung-Jun
    高于涵
    Kao, Yu-Han
    Keywords: 服務機器人接受度
    正式與非正式溝通風格
    行為意圖
    捐贈意願
    對社會議題資訊的探索意願
    Service Robots Acceptance
    Formal and Informal Communication Style
    Behavioral Intention
    Willingness to Donate
    Willingness to Seek Information about Social Issues
    Date: 2025
    Issue Date: 2025-06-02 14:42:17 (UTC+8)
    Abstract: 隨著服務機器人逐漸導入各種服務場域,其溝通風格對於影響消費者的感受、認同與參與意願程度方面,扮演了關鍵性的角色之一。服務機器人不僅改變了人機互動的方式,也重新定義了顧客體驗。然而,現有文獻中對於「消費者接受度」在「服務機器人溝通風格」與「消費者態度與行為意圖」之間所扮演的中介角色,尚缺乏系統性的論證。 本研究旨在探討服務機器人的溝通風格(正式 vs. 非正式)與消費者對服務機器人接受度對其行為意圖,特別是在捐贈意願與對社會議題資訊的探索意願的影響關係。本研究採用問卷調查法,隨機分配 408 位受試者至不同溝通風格的實驗情境中,並蒐集其回饋以進行後續分析。資料分析方面,本研究使用描述性統計分析受試者的人口背景資料,透過獨立樣本 t 檢定進行操作檢查,並以可信度分析去測量量表的一致性。此外,本研究進一步採用迴歸分析與中介效果進行分析,以檢驗研究假設的合理性。研究結果顯示,消費者對服務機器人的接受度扮演著中介變項,而採用正式語調溝通風格的服務機器人,會顯著提升消費者捐贈意願及對社會議題資訊的探索意願的程度。本研究不僅擴展了溝通風格對服務機器人與人互動研究的應用範疇,亦為未來服務機器人的設計與溝通策略提供了重要的理論依據與實務建議。
    In the contemporary era of the rising prevalence of robots and artificial intelligence, the opportunities for interaction between robots and humans have significantly increased. Robots are now capable of engaging in conversations with humans using realistic speech. Furthermore, charitable activities and donations play a crucial role in social well-being. Understanding how service robots, through formal and informal communication styles across different service domains, influence users’ perceptions in donation and information-seeking initiatives can enhance the societal value of service robots. This study examined the impact of service robots’ formal and informal communication styles on consumers’ prosocial behavioral intentions, specifically their willingness to donate and willingness to seek information about social issues with consumer acceptance acting as a mediating factor. Basic descriptive statistics was used to analyze biographical information, independent t-tests were conducted for manipulation checks, reliability tests were used to assess measurement consistency, and regression and mediation analyses were performed to test the hypotheses. The results (n = 408) indicate that service robots using a formal communication style are more likely to enhance consumer willingness to donate and willingness to seek information about social issues. Mediation effect analysis further reveals that formal language positively influences donation and information-seeking through the mediating variable of perceived acceptance.
    Reference: Abdi, E., Tojib, D., Seong, A. K., Pamarthi, Y., & Millington-Palmer, G. (2022). A study on the influence of service robots’ level of anthropomorphism on the willingness of users to follow their recommendations. Scientific Reports, 12(1). https://doi.org/10.1038/s41598-022-19501-0
    Arne, D. K., & Kunz, W. H. (2022). Living and Working with Service Robots: A TCCM Analysis and Considerations for Future Research. SSRN Electronic Journal. https://doi.org/10.2139/ssrn.4035662
    Bauman, A., Merom, D., Bull, F. C., Buchner, D. M., & Singh, M. a. F. (2016). Updating the Evidence for Physical activity: Summative reviews of the epidemiological evidence, prevalence, and interventions to promote “Active Aging.” The Gerontologist, 56(Suppl 2), S268–S280. https://doi.org/10.1093/geront/gnw031
    Beard, J. R., Officer, A., De Carvalho, I. A., Sadana, R., Pot, A. M., Michel, J., Lloyd-Sherlock, P., Epping-Jordan, J. E., Peeters, G. M. E. E., Mahanani, W. R., Thiyagarajan, J. A., & Chatterji, S. (2015). The World report on ageing and health: a policy framework for healthy ageing. The Lancet, 387(10033), 2145–2154. https://doi.org/10.1016/s0140-6736(15)00516-4
    Biber, D. (1986). Spoken and written textual dimensions in English: Resolving the contradictory findings. Language, 62(2), 384. https://doi.org/10.2307/414678
    Bleier, A., Harmeling, C. M., & Palmatier, R. W. (2018). Creating effective online customer experiences. Journal of Marketing, 83(2), 98–119. https://doi.org/10.1177/0022242918809930
    Bonarini, A. (2020) Communication in Human-Robot Interaction. Curr Robot Rep 1, 279–285. https://doi.org/10.1007/s43154-020-00026-1
    Cai, N., Gao, S., & Yan, J. (2024). How the communication style of chatbots influences consumers’ satisfaction, trust, and engagement in the context of service failure. Humanities and Social Sciences Communications, 11(1). https://doi.org/10.1057/s41599-024-03212-0
    Čaić, M., Avelino, J., Mahr, D., Odekerken-Schröder, G., & Bernardino, A. (2019). Robotic versus Human Coaches for Active aging: An Automated Social Presence perspective. International Journal of Social Robotics, 12(4), 867–882. https://doi.org/10.1007/s12369-018-0507-2
    Čaić, M., Mahr, D., & Oderkerken-Schröder, G. (2019). Value of social robots in services: social cognition perspective. Journal of Services Marketing, 33(4), 463–478. https://doi.org/10.1108/jsm-02-2018-0080
    Chattaraman, V., Kwon, W., Gilbert, J. E., & Ross, K. (2018). Should AI-Based, conversational digital assistants employ social- or task-oriented interaction style? A task-competency and reciprocity perspective for older adults. Computers in Human Behavior, 90, 315–330. https://doi.org/10.1016/j.chb.2018.08.048
    Chen, J., Zhang, Y., & Wang, L. (2025). The impact of service robot communication style on consumers’ continued willingness to use. Collabra Psychology, 11(1). https://doi.org/10.1525/collabra.128020
    Cheng, X., Zhang, X., Cohen, J., & Mou, J. (2022). Human vs. AI: Understanding the impact of anthropomorphism on consumer response to chatbots from the perspective of trust and relationship norms. Information Processing & Management, 59(3), 102940. https://doi.org/10.1016/j.ipm.2022.102940
    Ciechanowski, L., Przegalinska, A., Magnuski, M., & Gloor, P. (2019). In the Shades of the Uncanny Valley: An Experimental Study of Human–Chatbot Interaction. Future Generation Computer Systems, 92, 539-548. https://doi.org/10.1016/j.future.2018.01.055
    Costanzo, M., Smeriglio, R., & Di Nuovo, S. (2024). New technologies and assistive robotics for elderly: A review on psychological variables. Archives of Gerontology and Geriatrics Plus, 1(4), 100056. https://doi.org/10.1016/j.aggp.2024.100056
    Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13(3), 319. https://doi.org/10.2307/249008
    De Graaf, M. M., & 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
    Delin, J. (2005). Brand tone of voice: A linguistic analysis of brand positions. Journal of Applied Linguistics, 2, 1–44. http://dx.doi.org/10.1558/japl.2005.2.1.1
    Gretry, A., Horvath, C., Belei, N., & van Riel, A. C. R. (2017). “Don’t pretend to be my friend!” When an informal brand communication style backfires on social media. Journal of Business Research, 74, 77-89. http://dx.doi.org/10.1016/j.jbusres.2017.01.012
    Gursoy, D., Chi, O. H., Lu, L., & Nunkoo, R. (2019). Consumers acceptance of artificially intelligent (AI) device use in service delivery. International Journal of Information Management, 49, 157–169. https://doi.org/10.1016/j.ijinfomgt.2019.03.008
    Hameed, I., Tan, Z., Thomsen, N. B., & Duan, X. (2016). User acceptance of social robots. Advances in Computer-Human Interaction, 274–279.
    Huang, X., & Kwon, W. (2024). How Formal Should a Chatbot Be? An Examination from a Construal Level Theory Perspective. Conference Paper. https://doi.org/10.31274/itaa.17253
    Inavolu, S. M. (2024). Exploring AI-Driven customer service: evolution, architectures, opportunities, challenges and future directions. International Journal for Multidisciplinary Research, 6(3). https://doi.org/10.36948/ijfmr.2024.v06i03.22283
    Kim, B., Wen, R., Zhu, Q., Williams, T., & Phillips, E. (2023). The impact of different ethical frameworks underlying a robot’s advice on charitable donations. IEEE International Symposium on Robot and Human Interactive Communication, 2433–2438. https://doi.org/10.1109/ro-man57019.2023.10309565
    Kim, H. C., & Kramer, T. (2015). Do materialists prefer the “Brand-as-Servant”? the interactive effect of anthropomorphized brand roles and materialism on consumer responses. Journal of Consumer Research, 42(2), 284–299. https://doi.org/10.1093/jcr/ucv015
    Kim, R. H., Moon, Y., Choi, J. J., & Kwak, S. S. (2014). The effect of robot appearance types on motivating donation. IEEE International Conference on Human-Robot Interaction, 210–211. https://doi.org/10.1145/2559636.2563685
    Kipnis, E., McLeay, F., Grimes, A., De Saille, S., & Potter, S. (2022). Service Robots in Long-Term Care: a Consumer-Centric view. Journal of Service Research, 25(4), 667–685. https://doi.org/10.1177/10946705221110849
    Kononov, N., Ein-Gar, D., & Puntoni, S. (2024). Physical appearance improvements increase prosocial behavior. International Journal of Research in Marketing. https://doi.org/10.1016/j.ijresmar.2024.09.001
    Li, M., & Wang, R. (2022). Chatbots in e-commerce: The effect of chatbot language style on customers’ continuance usage intention and attitude toward brand. Journal of Retailing and Consumer Services, 71, 103209. https://doi.org/10.1016/j.jretconser.2022.103209
    Liebrecht, C., Sander, L., & Van Hooijdonk, C. (2021). Too informal? How a chatbot’s communication style affects brand attitude and quality of interaction. In Lecture notes in computer science (pp. 16–31). https://doi.org/10.1007/978-3-030-68288-0_2
    Lu, V. N., Wirtz, J., Kunz, W. H., Paluch, S., Gruber, T., Martins, A., & Patterson, P. G. (2020). Service robots, customers and service employees: what can we learn from the academic literature and where are the gaps? Journal of Service Theory and Practice, 30(3), 361–391. https://doi.org/10.1108/jstp-04-2019-0088
    Lv, R., & Chen, S. (2024). The impact of Chatbot communication style and service remedies on consumer adoption intention. Frontiers in Business Economics and Management, 14(1), 161–166. https://doi.org/10.54097/e6vj0q02
    Malik, S., Muhammad, K., & Waheed, Y. (2024). Artificial intelligence and industrial applications-A revolution in modern industries. Ain Shams Engineering Journal, 15(9), 102886. https://doi.org/10.1016/j.asej.2024.102886
    McArthur, T., Lam-McArthur, J., & Fontaine, L. (2018). The Oxford companion to the English language. In Oxford University Press eBooks. https://doi.org/10.1093/acref/9780199661282.001.0001
    Mende, M., Scott, M. L., Van Doorn, J., Grewal, D., & Shanks, I. (2019). Service Robots Rising: How humanoid robots influence service experiences and elicit compensatory consumer responses. Journal of Marketing Research, 56(4), 535–556. https://doi.org/10.1177/0022243718822827
    Merkle, M. (2019). Customer Responses to Service Robots – Comparing Human-Robot Interaction with Human-Human Interaction. Proceedings of the Annual Hawaii International Conference on System Sciences/Proceedings of the Annual Hawaii International Conference on System Sciences. https://doi.org/10.24251/hicss.2019.170
    Morand, D. A. (1995). The Role of Behavioral Formality and Informality in the Enactment of Bureaucratic versus Organic Organizations. Academy of Management Review, 20(4), 831. https://doi.org/10.2307/258958
    Murphy, J., Gretzel, U., & Pesonen, J. (2019). Marketing robot services in hospitality and tourism: the role of anthropomorphism. Journal of Travel & Tourism Marketing, 36(7), 784–795. https://doi.org/10.1080/10548408.2019.1571983
    Odekerken-Schröder, G., Mennens, K., Steins, M., & Mahr, D. (2021). The service triad: an empirical study of service robots, customers and frontline employees. Journal of Service Management, 33(2), 246–292. https://doi.org/10.1108/josm-10-2020-0372
    Pavlick, E., & Tetreault, J. (2016). An Empirical analysis of formality in online communication. Transactions of the Association for Computational Linguistics, 4, 61–74. https://doi.org/10.1162/tacl_a_00083
    Pfeiffer, B. E., Sundar, A., & Cao, E. (2022). The influence of language style (formal vs. colloquial) on the effectiveness of charitable appeals. Psychology and Marketing, 40(3), 542–553. https://doi.org/10.1002/mar.21729
    Sadowski, S., De Hoop, H., & Meijburg, L. (2024). You can help us! The impact of formal and Informal Second-Person pronouns on monetary donations. Languages, 9(6), 199. https://doi.org/10.3390/languages9060199
    Sarabia, M., Mau, T. L., Soh, H., Naruse, S., Poon, C., Liao, Z., Tan, K. C., Lai, Z. J., & Demiris, Y. (2013). IChariBot: Design and field trials of a fundraising robot. In Lecture notes in computer science (pp. 412–421). https://doi.org/10.1007/978-3-319-02675-6_41
    Sekkat, H., Moutik, O., Kari, B. E., Chaibi, Y., Tchakoucht, T. A., & Alaoui, A. E. H. (2024). Beyond simulation: Unlocking the frontiers of humanoid robot capability and intelligence with Pepper’s open-source digital twin. Heliyon, 10(14), e34456. https://doi.org/10.1016/j.heliyon.2024.e34456
    Sheth, J. N. (1976). Buyer-Seller Interaction: a Conceptual Framework. ACR North American Advances.
    Shiomi, M., Nakata, A., Kanbara, M., & Hagita, N. (2017). A hug from a robot encourages prosocial behavior. Conference Paper, 418–423. https://doi.org/10.1109/roman.2017.8172336
    Smarr, C., Prakash, A., Beer, J. M., Mitzner, T. L., Kemp, C. C., & Rogers, W. A. (2012). Older adults’ preferences for and acceptance of robot assistance for everyday living tasks. Proceedings of the Human Factors and Ergonomics Society Annual Meeting, 56(1), 153–157. https://doi.org/10.1177/1071181312561009
    Song, C. S., & Kim, Y. (2021). Predictors of consumers’ willingness to share personal information with fashion sales robots. Journal of Retailing and Consumer Services, 63, 102727. https://doi.org/10.1016/j.jretconser.2021.102727
    Song, C. S., & Kim, Y. (2022). The role of the human-robot interaction in consumers’ acceptance of humanoid retail service robots. Journal of Business Research, 146, 489–503. https://doi.org/10.1016/j.jbusres.2022.03.087
    Stephan, E., Liberman, N., & Trope, Y. (2010). Politeness and psychological distance: A construal level perspective. Journal of Personality and Social Psychology, 98(2), 268–280. https://doi.org/10.1037/a0016960
    Stock, R. M., & Merkle, M. (2017). A service Robot Acceptance Model: User acceptance of humanoid robots during service encounters. IEEE International Conference on Pervasive Computing and Communications Workshops, 339–344. https://doi.org/10.1109/percomw.2017.7917585
    Toma, C. L., & D’Angelo, J. D. (2015). Tell-Tale words: Linguistic cues used to infer the expertise of online medical advice. Journal of Language and Social Psychology, 34(1), 25–45. https://doi.org/10.1177/0261927X14554484
    Tussyadiah, I. P., Zach, F. J., & Wang, J. (2020). Do travelers trust intelligent service robots? Annals of Tourism Research, 81, 102886. https://doi.org/10.1016/j.annals.2020.102886
    Van Doorn, J., Mende, M., Noble, S. M., Hulland, J., Ostrom, A. L., Grewal, D., & Petersen, J. A. (2016). Domo arigato Mr. roboto. Journal of Service Research, 20(1), 43–58. https://doi.org/10.1177/1094670516679272
    Van Hooijdonk, C. (2021). Chatbots in the tourism industry: the effects of communication style and brand familiarity on social presence and brand attitude. Conference Paper, 375–381. https://doi.org/10.1145/3450614.3463599
    Van Pinxteren, M. M., Wetzels, R. W., Rüger, J., Pluymaekers, M., & Wetzels, M. (2019). Trust in humanoid robots: implications for services marketing. Journal of Services Marketing, 33(4), 507–518. https://doi.org/10.1108/jsm-01-2018-0045
    Verhagen, T., Vonkeman, C., & van Dolen, W. (2022). Role of local presence in online impulse buying. Information & Management, 54(8), 1038-1048. https://doi.org/10.1016/j.im.2017.02.008
    Wirtz, J., Barkin, I., & Bornet, P. (2020). Intelligent Automation: Learn how to harness Artificial Intelligence to boost business & make our world more human.
    Wirtz, J., Patterson, P. G., Kunz, W. H., Gruber, T., Lu, V. N., Paluch, S., & Martins, A. (2018). Brave new world: service robots in the frontline. Journal of Service Management, 29(5), 907–931. https://doi.org/10.1108/josm-04-2018-0119
    Xu, Y., Zhang, J., & Deng, G. (2022). Enhancing customer satisfaction with chatbots: The influence of communication styles and consumer attachment anxiety. Frontiers in Psychology, 13. https://doi.org/10.3389/fpsyg.2022.902782
    Youvan, D. C. (2024). Transforming Elder Care: The Evolution of Rest Home Care and the Future Impact of AI and Robotics. DOI: 10.13140/RG.2.2.30929.95847
    Zlotowski, J., Yogeeswaran, K., & Bartneck, C. (2015). Can We Control It? The Influence of Robot Appearance and Autonomy on User Behavior. International Journal of Human-Computer Studies, 82, 11-20. https://doi.org/10.1016/j.ijhcs.2016.12.008
    Description: 碩士
    國立政治大學
    企業管理研究所(MBA學位學程)
    111363103
    Source URI: http://thesis.lib.nccu.edu.tw/record/#G0111363103
    Data Type: thesis
    Appears in Collections:[企業管理研究所(MBA學位學程)] 學位論文

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