References
- Abd-alrazaq, A. A., Alajlani, M., Alalwan, A. A., Bewick, B. M., Gardner, P., & Househ, M. (2019). An overview of the features of chatbots in mental health: A scoping review. International Journal of Medical Informatics, 132, 103978. https://doi.org/https://doi.org/10.1016/j.ijmedinf.2019.103978
- Aberbach, J. D., & Christensen, T. (2005). Citizens and consumers: An NPM dilemma. Public Management Review, 7(2), 225–246. https://doi.org/https://doi.org/10.1080/14719030500091319
- Ahuja, A. S., Reddy, V. P., & Marques, O. (2020). Artificial intelligence and COVID-19: A multidisciplinary approach. Integrative Medicine Research, 9(3), 100434. https://doi.org/https://doi.org/10.1016/j.imr.2020.100434
- Ail, M. R., Rasazi, Z., Mamun, A. A., Langevin, R., Rawassizadeh, R., Schubert, L., & Hoque, M. E. (2020, October). A virtual conversational agent for teens with autism: Experimental results and design lessons. In Proceedings of the 20th ACM International Conference on Intelligent Virtual Agents (IVA ’20), Scotland, UK. (pp. 1–8). New York, NY: ACM. https://doi.org/https://doi.org/10.1145/3383652.3423900
- Androutsopoulou, A., Karacapilidis, N., Loukis, E., & Charalabidis, Y. (2019). Transforming the communication between citizens and government through AI-guided chatbots. Government Information Quarterly, 36(2), 358–367. https://doi.org/https://doi.org/10.1016/j.giq.2018.10.001
- Aoki, N. (2020). An experimental study of public trust in AI chatbots in the public sector. Government Information Quarterly, 37(4), 101490. https://doi.org/https://doi.org/10.1016/j.giq.2020.101490
- Ashfaq, M., Yun, J., Yu, S., & 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. https://doi.org/https://doi.org/10.1016/j.tele.2020.101473
- Bhalla, R. (2014). The omni-channel customer experience: Driving engagement through digitization. Journal of Digital & Social Media Marketing, 1(4), 365–372. https://www.ingentaconnect.com/content/hsp/jdsmm/2014/00000001/00000004/art00008
- Borsci, S., Federici, S., Bacci, S., Gnaldi, M., & Bartolucci, F. (2015). Assessing user satisfaction in the era of user experience: Comparison of the SUS, UMUX, and UMUX-LITE as a function of product experience. International Journal of Human-Computer Interaction, 31(8), 484–495. https://doi.org/https://doi.org/10.1080/10447318.2015.1064648
- Borsci, S., Federici, S., & Lauriola, M. (2009). On the dimensionality of the System Usability Scale (SUS): A test of alternative measurement models. Cognitive Processing, 10(3), 193–197. https://doi.org/https://doi.org/10.1007/s10339-009-0268-9
- Cameron, G., Cameron, D., Megaw, G., Bond, R., Mulvenna, M., O’Neill, S., Armour, C., & McTear, M. (2019, April). Assessing the usability of a chatbot for mental health care. In International Workshop on Internet Science, St. Petersburg, Russia. (pp. 121–132). Cham: Springer.
- Chen, R., & Sharma, S. K. (2013). Understanding member use of social networking sites: A value analysis. Communications of the Association for Information Systems, 33(1), 97–114. https://doi.org/https://doi.org/10.17705/1CAIS.03306
- Chen, S., Cheng, Z., & Wu, J. (2020). Risk factors for adolescents’ mental health during the COVID-19 pandemic: A comparison between Wuhan and other urban areas in China. Globalization and Health, 16(1), 96. https://doi.org/https://doi.org/10.1186/s12992-020-00627-7
- Chen, T., Guo, W., Gao, X., & Liang, Z. (2021). AI-based self-service technology in public service delivery: User experience and influencing factors. Government Information Quarterly, 38(4), 101520. https://doi.org/https://doi.org/10.1016/j.giq.2020.101520
- Cheng, Y., & Jiang, H. (2020). AI-powered mental health chatbots: Examining users’ motivations, active communicative action and engagement after mass-shooting disasters. Journal of Contingencies and Crisis Management, 28(3), 339–354. https://doi.org/https://doi.org/10.1111/1468-5973.12319
- Deng, L., Turner, D. E., Gehling, R., & Prince, B. (2010). User experience, satisfaction, and continual usage intention of IT. European Journal of Information Systems, 19(1), 60–75. https://doi.org/https://doi.org/10.1057/ejis.2009.50
- Doong, S. H., & Ho, S. C. (2012). The impact of ICT development on the global digital divide. Electronic Commerce Research and Applications, 1(5), 518–533. https://doi.org/https://doi.org/10.1016/j.elerap.2012.02.002
- Engin, Z., & Treleaven, P. (2019). Algorithmic government: Automating public services and supporting civil servants in using data science technologies. The Computer Journal, 62(3), 448–460.
- Fitzpatrick, K. K., Darcy, A., & Vierhile, M. (2017). Delivering cognitive behavior therapy to young adults with symptoms of depression and anxiety using a fully automated conversational agent (Woebot): A randomized controlled trial. JMIR Mental Health, 4(2), e19. https://doi.org/https://doi.org/10.2196/mental.7785
- Foth, M., & Schroeter, R. (2010, October). Enhancing the experience of public transport users with urban screens and mobile applications. In Proceedings of the 14th international academic mindtrek conference: Envisioning future media environment, Finland. (pp. 33–40). New York, NY: ACM.
- Gentile, C., Noci, G., & Spiller, N. (2007). How to sustain the customer experience: An overview of experience components that co-create value with the customer. European Management Journal, 25(5), 395–410. https://doi.org/https://doi.org/10.1016/j.emj.2007.08.005
- Hassenzahl, M., & Tractinsky, N. (2006). User experience a research agenda. Behaviour & Information Technology, 25(2), 91–97. https://doi.org/https://doi.org/10.1080/01449290500330331
- He, S., Chen, S., Kong, L., & Liu, W. (2021). Analysis of risk perceptions and related factors concerning COVID-19 epidemic in Chongqing, China. Journal of Community Health, 46(2), 278–285. https://doi.org/https://doi.org/10.1007/s10900-020-00870-4
- Hung, C. L., & Hsieh, C. Y. (2010). Searching the fit pattern between cultural dimensions and consumption values of mobile commerce in Taiwan. Asia Pacific Management Review, 15(2), 147–165. https://www.proquest.com/docview/1115696143?pq-origsite=summon
- Hwnag, Y. C., & Kim, C. (2007). A study on the antecedents and consequence of perceived value in the retail environment. Journal of Korean Marketing Association, 12(2), 77–103.
- International Organization for Standardization. (2010). ISO 9241-210:2010, ergonomics of human-system interaction-part 210: Human-central design for interactive systems.
- Jung, K. E., & Lee, D. M. (1995). Reciprocal effect of the factors influencing the satisfaction of is users. Asia Pacific Journal of Information Systems, 5(2), 199–226.
- Kasilingam, D. L. (2020). Understanding the attitude and intention to use smartphone chatbots for shopping. Technology in Society, 62, 101280. https://doi.org/https://doi.org/10.1016/j.techsoc.2020.101280
- Kim, M., Chang, Y., Park, M., & Lee, J. (2015). The effects of service interactivity on the satisfaction and the loyalty of smartphone users. Telematics and Informatics, 32(4), 949–960. https://doi.org/https://doi.org/10.1016/j.tele.2015.05.003
- Kim, Y., Wang, Q., & Roh, T. (2021). Do information and service quality affect perceived privacy protection, satisfaction, and loyalty? Evidence from a Chinese O2O-based mobile shopping application. Telematics and Informatics, 56, 101483. https://doi.org/https://doi.org/10.1016/j.tele.2020.101483
- Kiseleva, J., Williams, K., Awadallah, A. H., Crook, A. C., Zitouni, I., & Anastasakos, T. (2016, July). Predicting user satisfaction with intelligent assistants. In Proceedings of the 39th International ACM SIGIR conference on Research and Development in Information Retrieval, Pisa, Italy. (pp. 45–54). ACM.
- Kocaballi, A. B., Berkovsky, S., Quiroz, J. C., Laranjo, L., Tong, H. L., Rezazadegan, D., Briatore, A., & Coiera, E. (2019). The personalization of conversational agents in health care: Systematic review. Journal of Medical Internet Research, 21(11), e15360. https://doi.org/https://doi.org/10.2196/15360
- Kumar, R., Sachan, A., & Mukherjee, A. (2017). Qualitative approach to determine user experience of e-government services. Computers in Human Behavior, 71, 299–306. https://doi.org/https://doi.org/10.1016/j.chb.2017.02.023
- Lallemand, C., Gronier, G., & Koenig, V. (2015). User experience: A concept without consensus? Exploring practitioners’ perspectives through an international survey. Computers in Human Behavior, 43, 35–48. https://doi.org/https://doi.org/10.1016/j.chb.2014.10.048
- Lee, S., Lee, J., & Kim, H. (2018). A customer value theory approach to the engagement with a brand: The case of KaoKao Talk plus in Korea. Asia Pacific Journal of Information Systems, 28(1), 36–60. https://doi.org/https://doi.org/10.14329/apjis.2018.28.1.36
- Li, C., & Fang, Y. (2019). Predicting continuance intention toward mobile branded apps through satisfaction and attachment. Telematics and Informatics, 43, 101248. https://doi.org/https://doi.org/10.1016/j.tele.2019.101248
- Lim, X. J., Cheah, J. H., Ng, S. I., Basha, N. K., & Liu, Y. (2021). Are men from Mars, women from Venus? Examining gender differences towards continuous use intention of branded apps. Journal of Retailing and Consumer Service, 60, 102422. https://doi.org/https://doi.org/10.1016/j.jretconser.2020.102422
- Liu, S., Yang, L., Zhang, C., Xiang, Y., Liu, Z., Hu, S., & Zhang, B. (2020). Online mental health services in China during the COVID-19 outbreak. The Lancet Psychiatry, 7(4), 30077–30078. https://doi.org/https://doi.org/10.1016/S2215-0366(20)30077-8
- Lokot, T., & Diakopoulos, N. (2016). News bots: Automating news and information dissemination on Twitter. Digital Journalism, 4(6), 682–699. https://doi.org/https://doi.org/10.1080/21670811.2015.1081822
- Luo, X., Tong, S., Fang, Z., & Qu, Z. (2019). Frontiers: Machines vs. humans: The impact of artificial intelligence chatbot disclosure on customer purchase. Marketing Science, 38(6), 937–947. https://doi.org/https://doi.org/10.1287/mksc.2019.1192
- Madariaga, L., Nussbaum, M., Marañón, F., Alarcón, C., & Naranjo, M. A. (2019). User experience of government documents: A framework for informing design decisions. Government Information Quarterly, 36(2), 179–195. https://doi.org/https://doi.org/10.1016/j.giq.2018.12.005
- Mavridis, N. (2015). A review of verbal and non-verbal human-robot interactive communication. Robotics & Autonomous Systems, 63(1), 22–35. https://doi.org/https://doi.org/10.1016/j.robot.2014.09.031
- Melone, N. P. (1990). A theoretical assessment of the user satisfaction construct in information systems research. Management Science, 36(1), 76–91. https://doi.org/https://doi.org/10.1287/mnsc.36.1.76
- Muthugala, V., & Jayasekara, B. (2019). Enhancing interpretation of uncertain information in navigational commands for service robots using neuro-fuzzy approach. Journal of Ambient Intelligence and Smart Environments, 11(2), 195–197. https://doi.org/https://doi.org/10.3233/AIS-190513
- Nascimento, B., Oliveira, T., & Tam, C. (2018). Wearable technology: What explains continuance intention in smartwathces? Journal of Retailing & Consumer Services, 43, 157–169. https://doi.org/https://doi.org/10.1016/j.jretconser.2018.03.017
- Nelson, R. R., & Consoli, D. (2010). An evolutionary theory of household consumption behavior. Journal of Evolutionary Economics, 20(5), 665–687. https://doi.org/https://doi.org/10.1007/s00191-010-0171-7
- Ni, Y., & Wang, Y. (2019, November). Design of a smart storytelling toy based on voice interaction. In Proceedings of the 2019 2nd World Conference on Mechanical Engineering and Intelligent Manufacturing, Shanghai, China. (pp. 229–233). IEEE.
- Oliver, R. L., & Wayne, S. D. (1988). Response determinants in satisfaction judgments. Journal of Consumer Research, 14(4), 495–507. https://doi.org/https://doi.org/10.1086/209131
- Oliver, R. L. (1997). Satisfaction: A behavioral perspective on the consumer. McGraw-Hill.
- Olson, J. C., & Dover, P. A. (1979). Disconfirmation of consumer expectations through product trial. Journal of Applied Psychology, 64(2), 179–189. https://doi.org/https://doi.org/10.1037/0021-9010.64.2.179
- Omigie, N. O., Zo, H., Rho, J. J., & Ciganek, A. P. (2017). Customer pre-adoption choice behavior for M-PESA mobile financial services. Extending the theory of consumption values. Industrial Management & Data Systems, 117(5), 910–926. https://doi.org/https://doi.org/10.1108/IMDS-06-2016-0228
- Pihlström, M., & Brush, G. J. (2008). Comparing the perceived value of information and entertainment mobile services. Psychology & Marketing, 25(8), 732–755. https://doi.org/https://doi.org/10.1002/mar.20236
- Przegalinska, A., Ciechanowski, L., Stroz, A., Gloor, P., & Mazurek, G. (2019). In bot we trust: A new methodology of chatbot performance measures. Business Horizons, 62(6), 785–797. https://doi.org/https://doi.org/10.1016/j.bushor.2019.08.005
- Qaoumi, K. E., Masson, P. L., Weil, B., & ün, A. (2018). Testing evolutionary theory of household consumption behavior in the case of novelty – A product characteristics approach. Journal of Evolutionary Economics, 28(2), 437–460. https://doi.org/https://doi.org/10.1007/s00191-017-0521-9
- Ransing, R., Nagendrappa, S., Patil, A., Shoib, S., & Sarkar, D. (2020). Potential role of artificial intelligence to address the COVID-19 outbreak-related mental health issues in India. Psychiatry Research, 290, 113176. https://doi.org/https://doi.org/10.1016/j.psychres.2020.113176
- Rese, A., Ganster, L., & Baier, D. (2020). Chatbots in retailers’ customer communication: How to measure their acceptance? Journal of Retailing and Consumer Services, 56, 102176. https://doi.org/https://doi.org/10.1016/j.jretconser.2020.102176
- Roy, S. K., Balaji, M. S., Sadeque, S., Nguyen, B., & Melewar, T. C. (2017). Constituents and consequences of smart customer experience in retailing. Technological Forecasting and Social Change, 124, 257–270. https://doi.org/https://doi.org/10.1016/j.techfore.2016.09.022
- Sheng, M. L., & Teo, T. S. H. (2012). Product attributes and brand equity in the mobile domain: The mediating role of customer experience. International Journal of Information Management, 32(2), 139–146. https://doi.org/https://doi.org/10.1016/j.ijinfomgt.2011.11.017
- Sheth, J. N., Newman, B. I., & Gross, B. L. (1991). Why we buy and what we buy: A theory of consumption values. Journal of Business Research, 22(2), 159–170. https://doi.org/https://doi.org/10.1016/0148-2963(91)90050-8
- Shi, S., Wang, Y., Chen, X., & Zhang, Q. (2020). Conceptualization of omnichannel customer experience and its impact on shopping intention: A mixed-method approach. International Journal of Information Management, 50, 325–336. https://doi.org/https://doi.org/10.1016/j.ijinfomgt.2019.09.001
- Smith, A. C., Thomas, E., Snoswell, C. L., Haydon, H., Mehrotra, A., Clemensen, J., & Caffery, L. J. (2020). Telehealth for global emergencies: Implications for coronavirus disease 2019 (COVID-19). Journal of Telemedicine and Telecare, 26(5), 309–313. https://doi.org/https://doi.org/10.1177/1357633X20916567
- Sweeney, J. C., & Soutar, G. N. (2001). Consumer perceived value: The development of a multiple item scale. Journal of Retailing, 77(2), 203–220. https://doi.org/https://doi.org/10.1016/S0022-4359(01)00041-0
- Teng, C. (2018). Look to the future: Enhancing online gamer loyalty from the perspective of the theory of consumption values. Decision Support Systems, 114, 49–60. https://doi.org/https://doi.org/10.1016/j.dss.2018.08.007
- Valtolina, S., Barricelli, B. R., & Gaetano, S. D. (2019). Communicability of traditional interfaces VS chatbots in healthcare and smart home domains. Behaviour & Information Technology, 39(1), 108–132. https://doi.org/https://doi.org/10.1080/0144929X.2019.1637025
- Van Dijk, J. A. (2006). Digital divide research, achievements and shortcoming. Poetics, 34(4–5), 221–235. https://doi.org/https://doi.org/10.1016/j.poetic.2006.05.004
- Venturini, S., & Mehmetoglu, M. (2019). Plssem: A stata package for structural equation modeling with partial least squares. Journal of Statistical Software, 88(8), 1–35. https://doi.org/https://doi.org/10.18637/jss.v088.i08
- Xiao, X., & Benbasat, B. (2007). E-commerce product recommendation agents: Use, characteristics, and impact. MIS Quarterly, 31(1), 137–209. https://doi.org/https://doi.org/10.2307/25148784
- Yeo, B. L., Mohamed, R. N., & Muda, M. (2016). A study of Malaysian customers purchase motivation of halal cosmetics retail products: Examining theory of consumption value and customer satisfaction. Procedia Economics and Finance, 37, 176–182. https://doi.org/https://doi.org/10.1016/S2212-5671(16)30110-1
- Yu, M., Zhou, R., Cai, Z., Tan, C. W., & Wang, H. (2020). Unravelling the relationship between response time and user experience in mobile applications. Internet Research, 30(5), 1353–1382. https://doi.org/https://doi.org/10.1108/INTR-05-2019-0223
- Yuan, Z., Xiao, Y., Dai, Z., Huang, J., Zhang, Z., & Chen, Y. (2020). Modeling the effects of Wuhan’s lockdown during COVID-19, China. Bulletin of the World Health Organization, 98(7), 484–494. https://doi.org/https://doi.org/10.2471/BLT.20.254045
- Zhang, B., & Zhu, Y. (2021). Comparing attitudes towards adoption of e-government between urban users and rural users: An empirical study in Chongqing municipality, China. Behaviour & Information Technology, 40(11) , 1154–1168. https://doi.org/https://doi.org/10.1080/0144929X.2020.1743361
- Zheng, Y., Zhao, K., & Stylianou, A. (2013). The impacts of information quality and system quality on users’ continuance intention in information-exchange virtual communities: An empirical investigation. Decision Support Systems, 56(1), 513–524. https://doi.org/https://doi.org/10.1016/j.dss.2012.11.008
- Zhu, Y., & Kou, G. (2019). Linking smart governance to future generation: A study on the use of local e-government service among undergraduate students in a Chinese municipality. Informatics, 6(4), 45. https://doi.org/https://doi.org/10.3390/informatics6040045