Abstract
This study aims to measure the online service quality in real time utilizing psychophysiological responses of customer experience. Instead of using questionnaires, the psychophysiological responses can reflect the service quality in real time. In the experiment, we designed a searching task on the “Xiaomi” website. We measured the objective experience of the searching task including mental workload and emotional experience of customers by measuring their EEG and EDA, respectively. During the experiment, we used Think-A-Loud to obtain the subjective experience of customers. Eye tracker was used to determine the position of the special point they concerning about. The consistent analysis of the data of psychophysiological responses and the data of Think-A-Loud showed a high consistency. The result showed that the psychophysiological responses can be used to measure the user experience of using the service to reflect the service quality.
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References
Ciavolino, E., Calcagnì, A.: Generalized cross entropy method for analysing the SERVQUAL model. J. Appl. Stat. 42(3), 520–534 (2015)
Zhang, X., Prybutok, V.R.: A consumer perspective of e-service quality. IEEE Trans. Eng. Manage. 52(4), 461–477 (2005)
Hwang, L.J.J., Eves, A., Desombre, T.: Gap analysis of patient meal service perceptions. Int. J. Health Care Qual. Assur. Inc. Leadsh. Health Serv. 16(2–3), 143 (2003)
Ladhari, R.: Alternative measures of service quality: a review. J. Serv. Theory Pract. 18(1), 65–86 (2008)
Lam, T., Hanqinqiu, Z.: Service quality of travel agents: the case of travel agents in Hong Kong. Tour. Manage. 20(20), 341–349 (1999)
Seth, N., Deshmukh, S.G., Vrat, P.: Service quality models: a review. Int. J. Qual. Reliab. Manag. 22(9), 913–949 (2005)
Dyke, T.P.V., Prybutok, K.V.R.: Measuring information systems service quality: concerns on the use of the SERVQUAL questionnaire. MIS Q. 21(2), 195–208 (1997)
Parasuraman, A., Zeithaml, V.A., Berry, L.L.: Refinement and reassessment of the SERVQUAL scale. J. Retail. 67(4), 420–450 (1991)
Jimenez-Molina, A., Retamal, C., Lira, H.: Using psychophysiological sensors to assess mental workload during web browsing. Sens. (Switz.) 18(2), 1–26 (2018). https://doi.org/10.3390/s18020458
Vargo, S.L.: The four service marketing myths: remnants of a goods-based, manufacturing model. J. Serv. Res. 6(4), 324 (2004)
Mahlke, S.: Studying affect and emotions as important parts of the user experience. Position Paper at the Workshop on ‘The Role of Emotion in Human-Computer Interaction’ (2005)
Tsao, L., Li, L., Ma, L.: Human work and status evaluation based on wearable sensors in human factors and ergonomics: a review. IEEE Trans. Hum. Mach. Syst. 49, 72–84 (2018)
Acknowledgments
This study is supported by the Natural Science Foundation of China (project number: 71471095) and the Ministry of Science and Technology of the People’s Republic of China (project number: 2017YFC0820200 and 2016IM010200).
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Lu, P., Li, L., Ma, L. (2020). Online Service Quality Measurement Utilizing Psychophysiological Responses. In: Ahram, T. (eds) Advances in Artificial Intelligence, Software and Systems Engineering. AHFE 2019. Advances in Intelligent Systems and Computing, vol 965. Springer, Cham. https://doi.org/10.1007/978-3-030-20454-9_36
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DOI: https://doi.org/10.1007/978-3-030-20454-9_36
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