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A User Requirement Driven Development Approach for Smart Product-Service System of Elderly Service Robot

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Engineering Psychology and Cognitive Ergonomics (HCII 2023)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 14018))

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Abstract

With the advancement of computational intelligence and information technology, smart product-service system (SPSS) has become an important research field, which focuses on advocating the management and resource integration of products and services. As an intelligent service robot SPSS for the elderly, how to promote enterprises to provide services that satisfy the elderly has always become a difficult problem. Therefore, this paper aims to explore the mapping relationship between the design elements of this SPSS and the perception of demand experience. Firstly, this research explores the Kansei needs of elderly users through correlation analysis, and analyzes the key demands of users through the Kano model. Secondly, the stakeholders and their relationships could be analyzed for this SPSS, and to extract service elements through the user journey map, then the rough set theory (RST) is applied to identify the key service elements which could have an important impact on user demands. Finally, the logistic regression is adopted to establish the mapping model between user needs and service elements, and then the optimal service system content that meets user demands is obtained. In addition, the service blueprint is used to sort out the overall service process. To take the development and design of the intelligent elderly robot SPSS as an example, an effective system design combining product hardware and service interface is proposed. The results show that this SPSS could make elderly users more satisfied so as to significantly improves the new service performance, thereby increasing the user's emotional satisfaction.

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References

  1. United Nations, Department of Economic and Social Affairs (UN DESA), Population Division. World Population Ageing (2017).

    Google Scholar 

  2. C.-H. Lee, C.-H. Chen, Y.-C. Lee, Customer requirement-driven design method and computer-aided design system for supporting service innovation conceptualization handling, Adv. Eng. Inf. 45 (2020)

    Google Scholar 

  3. Goertzel, B.: Artificial general intelligence: concept, state of the art, and future prospects. J. Artif. Gen. Intell. 5 (2014)

    Google Scholar 

  4. P. Alves-Oliveira, S. Petisca, F. Correia, N. Maia, A. Paiva, Social robots for older adults: Framework of activities for aging in place with robots, International Conference on Social Robotics, Springer, 2015, pp. 11–20.

    Google Scholar 

  5. M. Stickdorn, J. Schneider, K. Andrews, A. Lawrence, This Is Service Design Thinking: Basics, Tools, Cases, Wiley, Hoboken (2011)

    Google Scholar 

  6. Yan, H.-B., Li, M.: An uncertain Kansei Engineering methodology for behavioral service design. IISE Trans. 53, 497–522 (2020)

    Google Scholar 

  7. Kuo, T.C., Wang, M.L.: The optimisation of maintenance service levels to support the product service system. Int. J. Prod. Res. 50, 6691–6708 (2012)

    Google Scholar 

  8. Cong, J.-c., Chen, C.-H., Zheng, P., Li, X., Wang, Z.: A holistic relook at engineering design methodologies for smart product-service systems development, J. Cleaner Prod. 272, 122737 (2020)

    Google Scholar 

  9. Zheng, P., Lin, T.-J., Chen, C.-H., Xu, X.: A systematic design approach for service innovation of smart product-service systems, J. Cleaner Prod. 201 657–667 (2016)

    Google Scholar 

  10. Yeh, C.-T., Chen, M.-C.: Applying Kansei Engineering and data mining to design door-to-door delivery service, Comput. Ind. Eng. 120, 401–417 (2020)

    Google Scholar 

  11. Ma, M.-Y., Chen, C.-W., Chang, Y.-M.: Using Kano model to differentiate between future vehicle-driving services. Int. J. Ind. Ergon. 69, 142–152 (2019)

    Google Scholar 

  12. Pawlak, Z.: Rough sets. Int. J. Comput. Inf. Sci. 11, 341–356 (1982)

    Article  Google Scholar 

  13. Li, Y., Zhu, L.: Extracting knowledge for product form design by using multiobjective optimisation and rough sets. J. Adv. Mech. Des. Syst. Manuf. 14, 1–16 (2020)

    Article  Google Scholar 

  14. Pawlak, Z.: Rough set approach to knowledge-based decision support, Eur. J. Oper. Res. 99, 48–57 (1997)

    Google Scholar 

  15. Zhu, G.-N., Hu, J., Qi, J., Gu, C.-C., Peng, Y.-H.: An integrated AHP and VIKOR for design concept evaluation based on rough number, Adv. Eng. Inf. 29, 408–418 (2015)

    Google Scholar 

  16. Xu, X.: Packaging design method of modern cultural and creative products based on rough set theory. Math. Probl. Eng. 2022, 1–11 (2022)

    Google Scholar 

  17. Goedkoop, M.J., van Halen, C.J.G., te Riele, H.R.M., Rommens, P.J.M.: Product Service systems, Ecological and Economic Basics, Ministry of Environment. The Hague, Netherlands (1999)

    Google Scholar 

  18. Colombo, A.W., Karnouskos, S., Bangemann, T.: Towards the Next Generation of Industrial Cyber-Physical Systems, pp. 1–22. Springer, Industrial cloud-based cyber-physical systems (2014)

    Google Scholar 

  19. Rijsdijk, S.A., Hultink, E.J.: How today’s consumers perceive tomorrow’s smart products. J. Prod. Innov. Manag. 26, 24–42 (2009)

    Article  Google Scholar 

  20. .Abramovici, M., Göbel, J.C., Neges, M.: Smart Engineering as enabler for the 4th industrial revolution. In: Fathi, M. (eds.) Integrated Systems: Innovations and Applications, pp. 163–170. Springer, Cham (2015). https://doi.org/10.1007/978-3-319-15898-3_10

  21. Kuhlenkötter, B., et al.: New perspectives for generating smart PSS solutions–life cycle, methodologies and transformation. Procedia CIRP 64 217–-222 (2014)

    Google Scholar 

  22. Valencia, A., Mugge, R., Schoormans, J., Schifferstein, H.: The design of smart product-service systems (PSSs): an exploration of design characteristics, Int. J. Des. 9 (2015)

    Google Scholar 

  23. Lerch, C., Gotsch, M.: Digitalized product-service systems in manufacturing firms: a case study analysis. Res.-Technol. Manag. 58, 45–52 (2015)

    Google Scholar 

  24. Valencia, A., Mugge, R., Schoormans, J.P.L., Schifferstein, R.: The design of smart product-service systems (PSSs): an exploration of design characteristics. Int. J. Design 9,13–18 (2015)

    Google Scholar 

  25. Chen, Z., Ming, X., Wang, R., Bao, Y.: Selection of design alternatives for smart product service system: A rough-fuzzy data envelopment analysis approach, J. Cleaner Prod. 273, 122931 (2020)

    Google Scholar 

  26. Pahk, Y., Self, J., Baek, J.: A value based approach to co-designing symbiotic product-service system, service design geographies. In: Proceedings of the ServDes. 2016 Conference, Linköping University Electronic Press, 2016, pp. 304–316. (2016)

    Google Scholar 

  27. Liu, Z., Ming, X., Song, W.: A framework integrating interval-valued hesitant fuzzy DEMATEL method to capture and evaluate co-creative value propositions for smart PSS. J. Cleaner Prod. 215, 611–625 (2019)

    Article  Google Scholar 

  28. Nishino, N., Wang, S., Tsuji, N., Kageyama, K., Ueda, K.: Categorization and mechanism of platform-type product-service systems in manufacturing. CIRP Ann. 61, 391–394 (2012)

    Article  Google Scholar 

  29. Chou, J.-R.: A TRIZ-based product-service design approach for developing innovative products, Comput. Ind. Eng. 161 (2021)

    Google Scholar 

  30. Chang, D., Gu, Z., Li, F., Jiang, R.: A user-centric smart product-service system development approach: a case study on medication management for the elderly, Adv. Eng. Inf. 42 (2019)

    Google Scholar 

  31. Jia, G., et al.: A synthetical development approach for rehabilitation assistive smart product–service systems: a case study, Adv. Eng. Inf. 48 (2021)

    Google Scholar 

  32. Chen, M.-C., Hsu, C.-L., Chang, K.-C., Chou, M.-C.: Applying Kansei engineering to design logistics services – a case of home delivery service, Int. J. Ind. Ergon. 48, 46–59 (2015)

    Google Scholar 

  33. Schütte, S.T.W., Eklund, J., Axelsson, J.R.C., Nagamachi, M.: Concepts, methods and tools in Kansei engineering, Theor. Issu. Ergon. Sci. 5, 214—231 (2004)

    Google Scholar 

  34. Wang, T., Zhou, M.: Integrating rough set theory with customer satisfaction to construct a novel approach for mining product design rules. J. Intell. Fuzzy Syst. 41, 331–353 (2021)

    Article  Google Scholar 

  35. Shieh, M.-D., Yeh, Y.-E., Huang, C.-L.: Eliciting design knowledge from affective responses using rough sets and Kansei engineering system. J. Ambient Intell. Hum. Comput. 7,107–120 (2015)

    Google Scholar 

  36. Wang, C.-H.: Combining rough set theory with fuzzy cognitive pairwise rating to construct a novel framework for developing multi-functional tablets, J. Eng. Des. 29, 430–448 (2018)

    Google Scholar 

  37. Shi, F., Sun, S., Xu, J.: Employing rough sets and association rule mining in KANSEI knowledge extraction. Inf. Sci. 196, 118–128 (2012)

    Google Scholar 

  38. Aktar Demirtas, E., Anagun, A.S., Koksal, G.: Determination of optimal product styles by ordinal logistic regression versus conjoint analysis for kitchen faucets, Int. J. Ind. Ergon. 39, 866–875 (2009)

    Google Scholar 

  39. Garrett, J.J.: The elements of User Experience: User-Centered Design for the Web and Beyond, Pearson Education (2010)

    Google Scholar 

  40. Wang, T.: A Novel approach of integrating natural language processing techniques with fuzzy topsis for product evaluation. Symmetry 14 (2022)

    Google Scholar 

  41. Miao, D.-q.: A New method of discretization of continuous attributes in rough sets, Acta Autom. Sin. 27, 296–302 (2022)

    Google Scholar 

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Acknowledgements

Our work is supported by Humanities and Social Sciences Project of Anhui Provincial Education Department under Grant No. SK2021A0058 and the Anhui University talent introduction research start-up funding project (No. S020318019).

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Authors and Affiliations

  1. School of Art, Anhui University No. 111, Jiulong Road, Economic and Technological Development District, Hefei, 230601, China

    Tianxiong Wang, Wei Yue & Qiang Yu

  2. School of Machinery and Electrical Engineering, Anhui Jianzhu University, No. 292, Ziyun Road, Shushan, Hefei, 230601, China

    Liu Yang, Xian Gao & Tong Yu

Authors
  1. Tianxiong Wang
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  2. Wei Yue
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  3. Liu Yang
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  4. Xian Gao
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  5. Tong Yu
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  6. Qiang Yu
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Corresponding author

Correspondence to Tianxiong Wang .

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Editors and Affiliations

  1. Coventry University, Coventry, UK

    Don Harris

  2. Cranfield University, Cranfield, UK

    Wen-Chin Li

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Wang, T., Yue, W., Yang, L., Gao, X., Yu, T., Yu, Q. (2023). A User Requirement Driven Development Approach for Smart Product-Service System of Elderly Service Robot. In: Harris, D., Li, WC. (eds) Engineering Psychology and Cognitive Ergonomics. HCII 2023. Lecture Notes in Computer Science(), vol 14018. Springer, Cham. https://doi.org/10.1007/978-3-031-35389-5_37

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  • DOI: https://doi.org/10.1007/978-3-031-35389-5_37

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-35388-8

  • Online ISBN: 978-3-031-35389-5

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