Designing Attention—Research on Landscape Experience Through Eye Tracking in Nanjing Road Pedestrian Mall (Street) in Shanghai

Abstract

To understand the attention distribution and visual cognition in streets, this study conducted an experiment on Nanjing Road Pedestrian Mall (Street) using Head-mounted eye-trackers. Participants’ attention distribution were analyzed via Area Of Interest (AOI) during real-life walking scenarios, combining with several experiment tasks (i.e., destination selection, point-of-interest photography, and in-depth interviews), to capture participants’ naturalistic decision-making. The study combined automatic semantic segmentation with manual audit to code participants’ attention fixation duration and proportion by AOIs. A new indicator „information density,” which is the ratio of the attention percentage to the exposure percentage of a given environmental element, was introduced to describe the efficiency of environmental elements on attracting attentions. Findings revealed information density varies across environmental elements: higher information density was found in sign, building entrance, brand name, and poster; the lower was found in building, sky, and ground; while tree and person fell in between. Findings hence suggest environmental elements of higher information density (such as business signs) should be systematically designed to enhance desired experiences. Findings also indicated that personalized experiences are more likely to induce positive associations about environment which eventually lead to place attachment.

Keywords

Street Landscape / Nanjing Road Pedestrian Mall (Street) / Landscape Experience / Head-mounted Eyetracker / In-situ Environmental Experience / Spatial Perception / Environmental Attractiveness

References

[1] Wei, M., & Zhang, Y. (2000). Creating a „People-Oriented” urban commercial pedestrian system. Urban Planning Forum, (1), 20–22.

[2] Lynch, K. (1962). The Image of the City. MIT Press.

[3] Appleyard, D., Lynch, K., & Myer, J. R. (1964). The View From the Road. MIT Press.

[4] Gehl, J. (2003). Life Between Buildings. Van Nosrand Reinhold.

[5] Zhao, C., Yang, B., & Liu, D. (2012). PSPL survey: The evaluation method for quality of public space and public life—The study on Jan Gehl’s theory and method for public space design (Part 3). Chinese Landscape Architecture, 28(9), 34–38.

[6] Osgood, C. E., Suci, G. J., & Tannenbaum, P. H. (1957). The Measurement of Meaning. University of Illinois Press.

[7] Venables, P. H. (1991). Autonomic activity. Annals of the New York Academy of Sciences, 620(1), 191-207.

[8] Csikszentmihalyi, M., Larson, R., & Prescott, S. (1977). The ecology of adolescent activity and experience. Journal of Youth and Adolescence, 6(3), 281-294.

[9] Haywood, K. M. (1990). Visitor-employed photography: An urban visit assessment. Journal of Travel Research, 29(1), 25-29.

[10] Strauss, A. L. (1987). Qualitative Analysis for Social Scientists. Cambridge University Press.

[11] Yarbus, A. L. (2013). Eye Movements and Vision. Springer.

[12] Hamamé, C. M., Vidal, J. R., Perrone-Bertolotti, M., Ossandón, T., Jerbi, K., Kahane, P., Bertrand, O., & Lachaux, J. (2014). Functional selectivity in the human occipitotemporal cortex during natural vision: Evidence from combined intracranial EEG and eye-tracking. Neuroimage, (95), 276-286.

[13] Shoval, N., Schvimer, Y., & Tamir, M. (2018). Real-time measurement of tourists’ objective and subjective emotions in time and space. Journal of Travel Research, 57(1), 3-16.

[14] Scott, N., Zhang, R., Le, D., & Moyle, B. (2019). A review of eye-tracking research in tourism. Current Issues in Tourism, 22(10), 1244-1261.

[15] Potocka, I. (2013). The lakescape in the eyes of a tourist. Quaestiones Geographicae, 32(3), 85–97.

[16] Nomoto, K., Shimosaka, T., & Sato, R. (2018). Comparison of gaze behavior among Japanese residents, Japanese visitors, and non-Japanese visitors while walking a street. 2018 Joint 10th International Conference on Soft Computing and Intelligent Systems (SCIS) and 19th International Symposium on Advanced Intelligent Systems (ISIS) (pp. 693-697). IEEE.

[17] Kiefer, P., Giannopoulos, I., Kremer, D., Schlieder, C., & Raubal, M. (2014). Starting to get bored: An outdoor eye tracking study of tourists exploring a city panorama. Proceedings of the Symposium on Eye Tracking Research and Applications (pp. 315-318). Association for Computing Machinery.

[18] Berto, R., Massaccesi, S., & Pasini, M. (2008). Do eye movements measured across high and low fascination photographs differ? Addressing Kaplan’s fascination hypothesis. Journal of Environmental Psychology, 28(2), 185-191.

[19] Franěk, M., Šefara, D., Petružálek, J., Cabal, J., & Myška, K. (2018). Differences in eye movements while viewing images with various levels of restorativeness. Journal of Environmental Psychology, (57), 10-16.

[20] Noland, R. B., Weiner, M. D., Gao, D., Cook, M. P., & Nelessen, A. (2017). Eye-tracking technology, visual preference surveys, and urban design: Preliminary evidence of an effective methodology. Journal of Urbanism: International Research on Placemaking and Urban Sustainability, 10(1), 98-110.

[21] Nordh, H., Hagerhall, C. M., & Holmqvist, K. (2013). Tracking restorative components: Patterns in eye movements as a consequence of a restorative rating task. Landscape Research, 38(1), 101-116.

[22] Valtchanov, D., & Ellard, C. G. (2015). Cognitive and affective responses to natural scenes: Effects of low level visual properties on preference, cognitive load and eye-movements. Journal of Environmental Psychology, (43), 184-195.

[23] Yarbus, A. L. (1967). Eye Movements During Perception of Complex Objects. Eye Movements and Vision (pp. 171-211). Springer.

[24] Simpson, J., Freeth, M., Simpson, K. J., & Thwaites, K. (2019). Visual engagement with urban street edges: Insights using mobile eye-tracking. Journal of Urbanism: International Research on Placemaking and Urban Sustainability, 12(3), 259-278.

[25] Simpson, J. (2018). Street DNA: The who, where and what of visual engagement with the urban street. Journal of Landscape Architecture, 13(1), 50-57.

[26] Sun, C., & Yang, Y. (2019). A study on visual saliency of way-finding landmarks based on eye-tracking experiments as exemplified in Harbin Kaide Shopping Center. Architectural Journal, (2), 18-23.

[27] Dupont, L., Antrop, M., & Van Eetvelde, V. (2014). Eye-tracking analysis in landscape perception research: Influence of photograph properties and landscape characteristics. Landscape Research, 39(4), 417-432.

[28] Bojko, A. (2013). Eye Tracking the User Experience: A Practical Guide to Research. Rosenfeld Media.

[29] Creswell, J. W. (1998). Qualitative Inquiry and Research Design: Choosing Among Five Approaches. Sage publications.

[30] Creswell J. W. (2003). Research Design: Qualitative, Quantitative, and Mixed Methods Approaches (2nd ed.). Sage.

[31] Kaplan, R. (1996). The Small Experiment: Achieving More With Less. In J. L. Nasar & B. B. Brown (Eds.), Public and Private Places (pp. 170-174). Environmental Design Research Association.

[32] Glaser, B. G., Strauss, A. L., & Strutzel, E. (1968). The discovery of grounded theory; strategies for qualitative research. Nursing Research, 17(4), 377-380.

[33] Rubin, H. J., & Rubin, I. S. (2011). Qualitative Interviewing: The Art of Hearing Data. Sage.

[34] Zheng, S., Wang, W., & Chen, Y. (2001). Pedestrian streets radiate urbanism. Architectural Journal, (6), 35–39. doi:10.3969/j.issn.0529-1399.2001.06.010

[35] Zheng, S., Qi, H., & Wang, W. (2000). Function upgrading and extension of urban space—Study on the transformation background of Nanjing East Road Pedestrian Street. Urban Planning Forum, 125(1), 13-19.

[36] Wang, Y., Jiang, Y., & Villadsen, K. S. (2015). Strategies for Street improvement in world-class cities: A case study of Huangpu District in Shanghai. Urban Transport of China, 13(1), 35–39. doi:10.13813/j.cn11-5141/u.2015.0106

[37] Chang, Q. (2005). Begin of a Metropolis: A Study of the Bund Section of Nanjing Road in Shanghai. Tongji University Press.

[38] He, S., & Wang, R. (1998). Create a pro-human urban public space-on the construction of a commercial pedestrian street on Nanjing East Road, Shanghai. Architectural Journal, (3), 20-25, 66-67.

[39] Wang, W. (2000). Creating a vibrant central business zone—Analysis on the environmental design of Nanjing East Road Pedestrian Street. Planners, 16(6), 28–31.

[40] Zhou, S., Yan, W., Liu, Y., & Meng, H. (2001). The design of Nanjing Road Pedestrian Mall in Shanghai. New Architecture, (3), 1–5.

[41] Zha, J., Wang, S., & Tang, W. (2020). Renovation and new appearance through history: Practice and reflection on public space renewal of the historical and cultural areas in shanghai and taking the east extension section of Nanjing Road pedestrian street as an example. Architectural Practice, (10), 72–81.

[42] Cai, J., Wang, D., & Zhu, W. (2011). Study on changes of consumer behavior in East Nanjing Road—A comparison of the year 2001 and 2007. Human Geography, 26(6), 89–97. doi:10.13959/j.issn.1003-2398.2011.06.014

[43] Tang, Y. (2021, May 28). The investment platform of Nanjing Road pedestrian street launched; The post-80s and post-90s generations become its major guest groups. Shanghai Observer.

[44] Duchowski, A. T. (2003). Eye Tracking Techniques. Eye Tracking Methodology: Theory and Practice (pp. 55-65). Springer.

[45] Zhou, B., Zhao, H., Puig, X., Fidler, S., Barriuso, A., & Torralba, A. (2017). Scene Parsing Through ade20k Dataset. 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (pp. 5122-5130). IEEE.

[46] Lusk, A. (2002). Greenways’ places of the heart: Aesthetic guidelines for bicycle paths (Doctoral dissertation). University of Michigan.

[47] Amati, M., Parmehr, E. G., McCarthy, C., & Sita, J. (2018). How eye-catching are natural features when walking through a park? Eye-tracking responses to videos of walks. Urban Forestry & Urban Greening , (31), 67-78.

[48] Zhang, L., Zhang, R., Yin, B., Wang, P., & Yan, S. (2021). Study on the style perception of the commercial historical street based on eye-tracking—A case of Arcade Street in Shapowei, Xiamen. Urbanism and Architecture, 18(16), 111–118, 148. doi:10.19892/j.cnki.csjz.2021.16.25

[49] Kim, J., & Fesenmaier, D. R. (2015). Measuring emotions in real time: Implications for tourism experience design. Journal of Travel Research, 54(4), 419-429.

[50] Duan, J., & Chen, W. (2012). Ambulatory-assessment based sampling method: Experience sampling method. Advances in Psychological Science, 20(7), 1110-1120.

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