Public perceptions towards ChatGPT​ a​s the​ Robo​-Assistant

Kris Jangjarat 1, Tanpat Kraiwanit 1 * , Pongsakorn Limna 1, Rattaphong Sonsuphap 2
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1 Faculty of Economics, Rangsit University, Pathum Thani, THAILAND
2 College of Social Innovation, Rangsit University, Pathum Thani, THAILAND
* Corresponding Author
Online Journal of Communication and Media Technologies, Volume 13, Issue 3, Article No: e202338. https://doi.org/10.30935/ojcmt/13366
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ABSTRACT

The widespread adoption of digital technologies in various economic activities paves the way for the establishment of a unified digital space. ChatGPT, an artificial intelligence language model, can generate increasingly realistic text, with no information on the accuracy and integrity of using these models in scientific writing. This study aims to investigate factors influencing public perceptions toward the acceptance of ChatGPT as the Robo-Assistant, using a mixed method. The quantitative approach in this study employed convenience sampling to collect data through closed-ended questionnaires from a sample size of 1,880 respondents. Statistical analysis software was used for data analysis. The researchers used binary regression to examine the relationship between various independent variables (such as score, gender, education, social media usage) and the acceptance of ChatGPT, as dependent variable. As part of the qualitative approach, in-depth interviews were conducted with a purposive sample of six participants. The qualitative data was analyzed using the content analysis method and the NVivo software program. Findings show that ChatGPT awareness and usage are influenced by variables like score, gender, education, and social media usage. Occupation and monthly income were not significant factors. The model with all independent variables was able to predict the use of ChatGPT as the Robo-Assistant in Thailand with an accuracy rate of 96.3%. The study also confirms acceptance of ChatGPT among Thai people and emphasizes the importance of developing sociable robots that consider human interaction factors. This study significantly enhances our comprehension of public perceptions, acceptance, and the prospective ramifications associated with the adoption of ChatGPT as the Robo-Assistant. The acquired findings offer indispensable guidance for the effective utilization of AI models and the advancement of sociable robots within the domain of human-robot interaction.
Keywords: public perception, acceptance, ChatGPT, Robo-Assistant

CITATION

Jangjarat, K., Kraiwanit, T., Limna, P., & Sonsuphap, R. (2023). Public perceptions towards ChatGPT​ a​s the​ Robo​-Assistant. Online Journal of Communication and Media Technologies, 13(3), e202338. https://doi.org/10.30935/ojcmt/13366

REFERENCES

  • Adel, A. Y. A. D., & Karaci, A. (2020). Adaptation of media and technology usage scale and attitude scale to Arabic. Avrupa Bilim ve Teknoloji Dergisi [European Journal of Science and Technology], 18, 389-400. https://doi.org/10.31590/ejosat.670527
  • AIContentfy Team. (2023). ChatGPT and the entertainment industry: Transforming storytelling. AIContentfy. https://aicontentfy.com/en/blog/chatgpt-and-entertainment-industry-transforming-storytelling-1
  • Antonelli, D., & Bruno, G. (2023). Human-robot collaboration in industry: Threats and opportunities. In V. K. Manupati, G. D. Putnik, & M. L. R. Varela (Eds.), Smart and sustainable manufacturing systems for industry 4.0 (pp. 65-83). CRC Press. https://doi.org/10.1201/9781003123866
  • Arjun, R., Kuanr, A., & Suprabha, K. R. (2021). Developing banking intelligence in emerging markets: Systematic review and agenda. International Journal of Information Management Data Insights, 1(2), 100026. https://doi.org/10.1016/j.jjimei.2021.100026
  • Back, C., Morana, S., & Spann, M. (2022). Do robo-advisors make us better investors? SSRN. https://doi.org/10.2139/ssrn.3777387
  • Bertacchini, F., Bilotta, E., & Pantano, P. (2017). Shopping with a robotic companion. Computers in Human Behavior, 77, 382-395. https://doi.org/10.1016/j.chb.2017.02.064
  • Blut, M., & Wang, C. (2020). Technology readiness: A meta-analysis of conceptualizations of the construct and its impact on technology usage. Journal of the Academy of Marketing Science, 48, 649-669. https://doi.org/10.1007/s11747-019-00680-8
  • Cai, X., Ning, H., Dhelim, S., Zhou, R., Zhang, T., Xu, Y., & Wan, Y. (2020). Robot and its living space: A roadmap for robot development based on the view of living space. Digital Communications and Networks, 7(4), 505-517. https://doi.org/10.1016/j.dcan.2020.12.001
  • Chicco, D., Warrens, M. J., & Jurman, G. (2021). The coefficient of determination R-squared is more informative than SMAPE, MAE, MAPE, MSE and RMSE in regression analysis evaluation. PeerJ Computer Science, 7, e623. https://doi.org/10.7717/peerj-cs.623
  • Dowling, M., & Lucey, B. (2023). ChatGPT for (finance) research: The Bananarama conjecture. Finance Research Letters, 103662. https://doi.org/10.1016/j.frl.2023.103662
  • Dwivedi, Y.K., Kshetri, N., Hughes, L., Slade, E.L., Jeyaraj, A., Kar, A.K., Baabdullah, A.M., Koohang, A., Raghavan, V., Ahuja, M., & Albanna, H. (2023). “So what if ChatGPT wrote it?” Multidisciplinary perspectives on opportunities, challenges and implications of generative conversational AI for research, practice and policy. International Journal of Information Management, 71, 102642. https://doi.org/10.1016/j.ijinfomgt.2023.102642
  • Firat, M. (2023). What ChatGPT means for universities: Perceptions of scholars and students. Journal of Applied Learning and Teaching, 6(1), 1-7. https://doi.org/10.37074/jalt.2023.6.1.22
  • Francis, J. J., Johnston, M., Robertson, C., Glidewell, L., Entwistle, V., Eccles, M. P., & Grimshaw, J. M. (2010). What is an adequate sample size? Operationalizing data saturation for theory-based interview studies. Psychology and Health, 25(10), 1229-1245. https://doi.org/10.1080/08870440903194015
  • Gavrilova, L., Petrov, V., Kotik, A., Sagitov, A., Khalitova, L., & Tsoy, T. (2019). Pilot study of teaching English language for preschool children with a small-size humanoid robot assistant. In Proceedings of the 2019 12th International Conference on Developments in eSystems Engineering (pp. 253-260). IEEE. https://doi.org/10.1109/DeSE.2019.00055
  • George, A. S., George, A. S. H., & Martin, A. S. G. (2023). A review of ChatGPT AI’s impact on several business sectors. Partners Universal International Innovation Journal, 1(1), 9-23. https://doi.org/10.5281/zenodo.7644359
  • Goel, R., & Gupta, P. (2020). Robotics and industry 4.0. In A. Nayyar, & A. Kumar (Eds.), A roadmap to industry 4.0: Smart production, sharp business and sustainable development (pp. 157-169). Springer. https://doi.org/10.1007/978-3-030-14544-6_9
  • Gomila, R. (2021). Logistic or linear? Estimating causal effects of experimental treatments on binary outcomes using regression analysis. Journal of Experimental Psychology: General, 150(4), 700. https://doi.org/10.1037/xge0000920
  • Gouraguine, S., Salhi, I., Riad, M., Qbadou, M., & Mansouri, K. (2023). Towards a humanoid teaching assistant-robot-primitives knowledge modeling. In Proceedings of the International Conference on Advanced Intelligent Systems and Informatics (pp. 802-811). Springer. https://doi.org/10.1007/978-3-031-20601-6_66
  • Grotenhuis, M. T., & Thijs, P. (2015). Dummy variables and their interactions in regression analysis: Examples from research on body mass index. arXiv. https://doi.org/10.48550/arXiv.1511.05728
  • Halaweh, M. (2023). ChatGPT in education: Strategies for responsible implementation. Contemporary Educational Technology, 15(2), ep421. https://doi.org/10.30935/cedtech/13036
  • Hildebrand, C., & Bergner, A. (2021). Conversational robo advisors as surrogates of trust: Onboarding experience, firm perception, and consumer financial decision making. Journal of the Academy of Marketing Science, 49(4), 659-676. https://doi.org/10.1007/s11747-020-00753-z
  • Hjorth, S., Schou, C., Ribeiro da Silva, E., Tryggvason, F., Sparre Sørensen, M., & Forbech, H. (2021). A case study of plug and produce robot assistants for hybrid manufacturing workstations. In Towards sustainable customization: Bridging smart products and manufacturing systems (pp. 242-249). Springer. https://doi.org/10.1007/978-3-030-90700-6_27
  • Jiang, H., & Cheng, L. (2021). Public perception and reception of robotic applications in public health emergencies based on a questionnaire survey conducted during COVID-19. International Journal of Environmental Research and Public Health, 18(20), 10908. https://doi.org/10.3390/ijerph182010908
  • Kasneci, E., Seßler, K., Küchemann, S., Bannert, M., Dementieva, D., Fischer, F., Gasser, U., Groh, G., Günnemann, S., Hüllermeier, E., & Krusche, S. (2023). ChatGPT for good? On opportunities and challenges of large language models for education. Learning and Individual Differences, 103, 102274. https://doi.org/10.1016/j.lindif.2023.102274
  • Kergaravat, C. (2023). ChatGPT in customer service: How your business can leverage the technology. Apizee. https://www.apizee.com/chatgpt-customer-service/
  • Kraiwanit, T., Jangjarat, K., & Atcharanuwat, J. (2022). The acceptance of financial robo-advisors among investors: The emerging market study. Journal of Governance & Regulation, 11(2), 332-339. https://doi.org/10.22495/jgrv11i2siart12
  • Lee, Y., Lee, S., & Kim, D. Y. (2021). Exploring hotel guests’ perceptions of using robot assistants. Tourism Management Perspectives, 37, 100781. https://doi.org/10.1016/j.tmp.2020.100781
  • Limna, P., & Kraiwanit, T. (2022). Service quality and its effect on customer satisfaction and customer loyalty: A qualitative study of Muang Thai Insurance Company in Krabi, Thailand. Journal for Strategy and Enterprise Competitiveness, 1(2), 1-16.
  • Limna, P., Jakwatanatham, S., Siripipattanakul, S., Kaewpuang, P., & Sriboonruang, P. (2022). A review of artificial intelligence (AI) in education during the digital era. Advance Knowledge for Executives, 1(1), 1-9.
  • Lo, C. K. (2023). What is the impact of ChatGPT on education? A rapid review of the literature. Education Sciences, 13(4), 410. https://doi.org/10.3390/educsci13040410
  • Ma, X., Yang, X., Zhao, S., Fu, C. W., Lan, Z., & Pu, Y. (2012). Robots in my contact list: Using social media platforms for human-robot interaction in domestic environment. In Proceedings of the 10th Asia Pacific Conference on Computer Human Interaction (pp. 133-140). https://doi.org/10.1145/2350046.2350076
  • Mišeikis, J., Caroni, P., Duchamp, P., Gasser, A., Marko, R., Mišeikienė, N., Zwilling, F., De Castelbajac, C., Eicher, L., Früh, M., & Früh, H. (2020). Lio–A personal robot assistant for human-robot interaction and care applications. IEEE Robotics and Automation Letters, 5(4), 5339-5346. https://doi.org/10.1109/LRA.2020.3007462
  • Morana, S., Gnewuch, U., Jung, D., & Granig, C. (2020). The effect of anthropomorphism on investment decision-making with robo-advisor Chatbots. In Proceedings of European Conference on Information Systems.
  • Mortelmans, D. (2019). Analyzing qualitative data using NVivo. In H. Van den Bulck, M. Puppis, K. Donders, & L. Van Audenhove (Eds.), The Palgrave handbook of methods for media policy research (pp. 435-450). Palgrave Macmillan. https://doi.org/10.1007/978-3-030-16065-4_25
  • Namey, E. (2017). Riddle me this: How many interviews (or focus groups) are enough? R&E Research for Evidence. https://researchforevidence.fhi360.org/riddle-me-this-how-many-interviews-or-focus-groups-are-enough
  • OpenBots. (2023). ChatGPT for customer support, sales and communication. OpenBots. https://openbots.ai/chatgpt-for-customer-support-sales-and-communication/
  • Pandey, V., Misra, N., Greeshma, R., Astha, A., Jeyavel, S., Lakshmana, G., Rajkumar, E., & Prabhu, G. (2021). Techno trend awareness and its attitude towards social connectedness and mitigating factors of COVID-19. Frontiers in Psychology, 12, 637395. https://doi.org/10.3389/fpsyg.2021.637395
  • Paul, J., Ueno, A., & Dennis, C. (2023). ChatGPT and consumers: Benefits, pitfalls and future research agenda. International Journal of Consumer Studies, 1-13. https://doi.org/10.1111/ijcs.12928
  • Pavlik, J. V. (2023). Collaborating with ChatGPT: Considering the implications of generative artificial intelligence for journalism and media education. Journalism & Mass Communication Educator, 10776958221149577. https://doi.org/10.1177/10776958221149577
  • Ranky. (2023). Digital awareness–An essential of today’s increasingly interconnected world. Ranky. https://www.ranky.co/growth-hacking-and-inbound-marketing-blog/digital-awareness-an-essential-of-todays-increasingly-interconnected-world#
  • Rathore, B. (2023). Future of AI & generation alpha: ChatGPT beyond boundaries. Eduzone: International Peer Reviewed/Refereed Multidisciplinary Journal, 12(1), 63-68.
  • Rincon, J. A., Costa, A., Novais, P., Julian, V., & Carrascosa, C. (2019). A new emotional robot assistant that facilitates human interaction and persuasion. Knowledge and Information Systems, 60(1), 363-383. https://doi.org/10.1007/s10115-018-1231-9
  • Rudolph, J., Tan, S., & Tan, S. (2023). ChatGPT: Bullshit spewer or the end of traditional assessments in higher education? Journal of Applied Learning and Teaching, 6(1), 1-22. https://doi.org/10.37074/jalt.2023.6.1.9
  • Salah, M., Alhalbusi, H., Ismail, M. M., & Abdelfattah, F. (2023). Chatting with ChatGPT: Decoding the mind of Chatbot users and unveiling the intricate connections between user perception, trust and stereotype perception on self-esteem and psychological well-being. Research Square, 1-26. https://doi.org/10.21203/rs.3.rs-2610655/v2
  • Shahriar, S., & Hayawi, K. (2023). Let’s have a chat! A conversation with ChatGPT: Technology, applications, and limitations. arXiv. https://doi.org/10.48550/arXiv.2302.13817
  • Siripipatthanakul, S., Jaipong, P., Limna, P., Sitthipon, T., Kaewpuang, P., & Sriboonruang, P. (2022). The impact of talent management on employee satisfaction and business performance in the digital economy: A qualitative study in Bangkok, Thailand. Advance Knowledge for Executives, 1(1), 1-17.
  • Siripipatthanakul, S., Muthmainnah, Siripipattanakul, S., Sriboonruang, P., Kaewpuang, P., Sitthipon, T., Limna, P., & Jaipong, P. (2023). Gamification and edutainment in 21st century learning. In Multidisciplinary approaches to research (pp. 210-219). Yayasan Corolla Education Center.
  • Sitthipon, T., Limna, P., Jaipong, P., Siripipattanakul, S., & Auttawechasakoon, P. (2022). Gamification predicting customers’ repurchase intention via e-commerce platforms through mediating effect of customer satisfaction in Thailand. Review of Advanced Multidisciplinary Sciences, Engineering & Innovation, 1(1), 1-14.
  • Tsou, H. T., & Chen, J. S. (2022). How does digital technology usage benefit firm performance? Digital transformation strategy and organizational innovation as mediators. Technology Analysis & Strategic Management, 1-14. https://doi.org/10.1080/09537325.2021.1991575
  • Wijaya, Y., & Zoromi, F. (2020). Chatbot designing information service for new student registration based on AIML and machine learning. Journal of Artificial Intelligence and Applications, 1(1), 1-10. https://doi.org/10.33372/jaia.v1i1.638
  • Yakimova, V. A. (2020). Cognitive mechanism for creating a robot assistant in compliance activities. In Proceedings of the 2nd International Scientific and Practical Conference on Digital Economy (pp. 241-245). Atlantis Press. https://doi.org/10.2991/aebmr.k.201205.040
  • Yan, D. (2023). Impact of ChatGPT on learners in a L2 writing practicum: An exploratory investigation. Education and Information Technologies, 1-25. https://doi.org/10.1007/s10639-023-11742-4
  • Yang, L., Henthorne, T. L., & George, B. (2020). Artificial intelligence and robotics technology in the hospitality industry: Current applications and future trends. In B. George, & J. Paul (Eds.), Digital transformation in business and society (pp. 211-228). https://doi.org/10.1007/978-3-030-08277-2_13
  • Yarlagadda, R. T. (2015). Future of robots, AI and automation in the United States. International Engineering Journal for Research & Development, 1(5), 1-6.