Abstract
Map APPs have become daily travel helpers for people. People’s emotions will influence their behaviors when they are using map APPs. This paper studies user’s emotional changes in pedestrian navigation that is one of the widely used functions provided by map APPs. Two dimensions of emotional changes are analyzed. One is the changes of emotional polarities, and the other is the changes of six classifications on emotions. Factors that affect user’s emotions from a perspective of user’s focuses are also studied. The results show that: (1) “negative → negative” and “neutral → negative” are the most frequently emotional change patterns in pedestrian navigation. (2) Emotions on Disgust and Happiness are common in pedestrian navigation. (3) User’s attention to external information and map system affects their emotions in varying degrees. We study user’s emotions with the hope for giving insights for map APPs to promote their emotional learning in Artificial Intelligence.
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References
Reece, J.: Understanding Motivation and Emotion. Wiley, Hoboken (2005)
Mody, R.N., Willis, K.S., Kerstein, R.: WiMo: location-based emotion tagging. In: Proceedings of the 8th International Conference on Mobile and Ubiquitous Multimedia, pp. 1–4. ACM, New York (2009)
Huang, H., Klettner, S., Schmidt, M., Gartner, G., Leitinger, S., Wagner, A.: AffectRoute – considering people’s affective responses to environments for enhancing route-planning services. Int. J. Geog. Inf. Sci. 28(12), 2456–2473 (2014)
Baillie, L., Morton, L., Moffat, D.C., Uzor, S.: Capturing the response of players to a location-based game. Pers. Ubiquit. Comput. 15(1), 13–24 (2011)
Xu, L.H., Lin, H.F., Pan, Y., Ren, H., Chen, J.M.: The construction of sentimental lexicon ontology. J. China Soc. Sci. Tech. Inf. 27(2), 180–185 (2008)
Ekman, P., Friesen, W., Ellsworth, P.: Emotion in the Human Face: Guidelines for Research and an Integration of Findings. Pergamon Press, New York (1972)
Wang, J., Chen, Y.: Theoretical Cartography. Chinese People’s Liberation Army Publishing House, Beijing, China (2000)
Nielsen, J., Clemmensen, T., Yssing, C.: Getting access to what goes on in people’s heads?: reflections on the think-aloud technique. In: Proceedings of the Second Nordic Conference on Human-Computer Interaction, pp. 101–110. ACM, New York (2002)
Zhang, C., Liu, P., Zhu, Z., Fang, M.: A emotion analysis method based on polar dictionary. J. Shandong Univ. (Sci. Ed.) 47(3), 50–53 (2012)
Thomas, D.R.: A general inductive approach for qualitative data analysis. Am. J. Eval. 27(2), 237–246 (2006)
Xu, L., Lin, P., Pan, Y., et al.: The construction of emotion word ontology. J. China Soc. Sci. Tech. Inf. 27(2), 180–185 (2008)
Acknowledgement
This work was an outcome of “Human-Computer Interaction and Collaboration Team” (Whu2016020) supported by “the Fundamental Research Funds for the Central Universities”.
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Wu, D., Lu, L. (2018). Emotions Change in Pedestrian Navigation: A Perspective of User’s Focuses. In: Chowdhury, G., McLeod, J., Gillet, V., Willett, P. (eds) Transforming Digital Worlds. iConference 2018. Lecture Notes in Computer Science(), vol 10766. Springer, Cham. https://doi.org/10.1007/978-3-319-78105-1_63
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DOI: https://doi.org/10.1007/978-3-319-78105-1_63
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