Abstract
Users interact closely with robot with smartphone in small-scale space, and bad design will disappoint and annoy users. Exploring the characteristics of the target user group plays an important role in solving this problem. However, it is difficult to answer what the vivid features of users are. The purpose of this study is to use the information hidden in lifestyle to establish user typology. AIO scale was used to collect lifestyle data from activity, interest and opinion. Through factor analysis, seven factors were obtained: enjoyment, trend following, interest, resourcefulness, shrewdness, dependence and personality. Based on seven factors and K-means clustering analysis, three user categories were obtained, including “emotional and hedonic”, “rational and independent” and “professional and experienced”. Through discriminant analysis, the recall rate, accuracy rate and F1-score were more than 70%. Based on the survey results, some suggestions on product design of robots with smartphone are proposed.
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Acknowledgments
This study was provided by the design and development team of PlusBot. Part of this research is funded and supported by AIRLab. We would like to express our sincere thanks to all the participants in the PlusBot user survey.
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Dai, N., Zhang, X. (2021). User Characteristics Through Lifestyle: A User Typology of Robot with Smartphone Based on AIO Scale. In: Shin, C.S., Di Bucchianico, G., Fukuda, S., Ghim , YG., Montagna, G., Carvalho, C. (eds) Advances in Industrial Design. AHFE 2021. Lecture Notes in Networks and Systems, vol 260. Springer, Cham. https://doi.org/10.1007/978-3-030-80829-7_13
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