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Research on Conversational Interaction Design Strategy of Shopping APP Based on Context Awareness

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Human Interface and the Management of Information (HCII 2023)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 14016))

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Abstract

This paper discusses the application of situational awareness theory in the conversational interaction of shopping apps, proposes the conversational interaction design process of shopping apps based on the situational awareness model and the KANO-AHP model, obtains user needs qualitatively and quantitatively, and explores and summarizes the user experience-oriented conversational interaction design strategy of shopping apps. On the basis of the situational awareness theory, the situational awareness model is used to obtain the user’s experience demand set from the four dimensions of conversational interactive vision, interaction, function and emotion from the three aspects of user situational factors, product situational factors and environmental situational factors. The KANO model is used to screen and classify the resulting demand set. Obtain the shopping APP conversational interactive user demand hierarchy; Then combined with the analytic hierarchy process to calculate the weight of each demand and the importance of the ranking, finally put forward the design strategy. By using the situational awareness theory and the KANO-AHP model to analyze user needs, the author puts forward strategies and suggestions for the conversational interactive experience design of shopping APP from four aspects of user visual interface experience, functional experience, interactive experience and emotional experience. In particular, strategies such as personality characteristics, high-context conversation mechanism and the same emotional feedback mechanism are proposed for emotional experience, so as to improve the user experience and satisfaction of shopping APP conversational interaction.

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Change history

  • 09 July 2023

    A correction has been published.

References

  1. Dong, H.: Research on Chatbot information push mechanism. China New Commun. 20(18), 146–147 (2018)

    Google Scholar 

  2. Tan, M.H., Pan, X.Y.: Research on dialogue reply strategy of text chat robot. Software 41(09), 51–55 (2020)

    Google Scholar 

  3. Fang, Z.W., Du, L.M.: Application of Grice’s cooperative principle and conversational rules in human-computer dialogue. J. Nat. Sci. Heilongjiang Univ. (06), 716–720 (2005)

    Google Scholar 

  4. Qin, J.Y., Wang, Y.Z.: Research on conversational voice interaction system in high and low context. Packag. Eng. 42(10), 85–91 (2021). https://doi.org/10.19554/j.cnki.1001-3563.2021.10.012

    Article  Google Scholar 

  5. Marwade, A., Kumar, N., Mundada, S., et al.: Augmenting e-commerce product recommendations by analyzing customer personality. In: 2017 9th International Conference on Computational Intelligence and Communication Networks (CICN), pp. 174–180. IEEE (2017)

    Google Scholar 

  6. Bhawiyuga, A., Fauzi, M.A., Pramukantoro, E.S., et al.: Design of E-Commerce chat robot for automatically answering customer question. In: 2017 International Conference on Sustainable Information Engineering and Technology (SIET), pp. 159–162. IEEE (2017)

    Google Scholar 

  7. Setiaji, B., Wibowo, F.W.: Chatbot using a knowledge in database: human-tomachine conversation modeling. In: 2016 7th International Conference on Intelligent Systems, Modelling and Simulation (ISMS), pp. 72–77. IEEE (2016)

    Google Scholar 

  8. Moore, R.J.: A natural conversation framework for conversational UX design. In: Moore, R., Szymanski, M., Arar, R., Ren, G.J. (eds.) Studies in Conversational UX Design. Human–Computer Interaction Series. Springer, Cham (2018). https://doi.org/10.1007/978-3-319-95579-7_9

  9. Chai, J., Lin, J., Zadrozny, W., et al.: The role of a natural language conversational interface in online sales: a case study. Int. J. Speech Technol. 4(3), 285–295 (2001)

    Article  MATH  Google Scholar 

  10. Wang, Q., Yang, S., Liu, M., et al.: An eye-tracking study of website complexity from cognitive load perspective. Decis. Support Syst. 62, 1–10 (2014)

    Article  Google Scholar 

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Correspondence to Yongkang Chen .

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Jia, F., Chen, X., Chen, Y. (2023). Research on Conversational Interaction Design Strategy of Shopping APP Based on Context Awareness. In: Mori, H., Asahi, Y. (eds) Human Interface and the Management of Information. HCII 2023. Lecture Notes in Computer Science, vol 14016. Springer, Cham. https://doi.org/10.1007/978-3-031-35129-7_6

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  • DOI: https://doi.org/10.1007/978-3-031-35129-7_6

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  • Print ISBN: 978-3-031-35128-0

  • Online ISBN: 978-3-031-35129-7

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