Skip to main content
SpringerLink
Log in

Emotional Geography of St. Petersburg: Detecting Emotional Perception of the City Space

  • Conference paper
  • First Online:
Digital Transformation and Global Society (DTGS 2018)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 859))

Included in the following conference series:

Abstract

Emotional perception of the city space has a great share in subjective well-being and is one of the core subjective indicators of the quality of urban environment. Studies of emotional response towards the city space have recently gained popularity within digital humanities. In the paper we present a new system which allows collecting data on urban emotions - an interactive platform called Imprecity, which has been recently developed at ITMO University and integrated into a wider framework of Smart Saint-Petersburg project supported by city administration of Russian city Saint-Petersburg. When authorized through social networks Imprecity user receives a possibility to place emoji on St.Petersburg map as well as write comments on each emotion. Emotions are divided into 5 groups based on the typology of basic emotions defined by Paul Ekman - joy, sadness, anger, disgust, and fear. Imprecity functions as a mobile and desktop version of a website and will be further developed as a mobile app. The emotions and comments collected from users are processed to form recommendations for placemaking, moreover, active users of Imprecity have a possibility to unite together and propose projects for renovation of specific urban places with the help of experts. We consider methodological difference between studying emotional perception by processing spontaneous data generated by users online and study of emotionally loaded data created by users deliberately via Imprecity. We show visual analytical tools to process a test sample of data collected via Imprecity, such as emotional heatmaps, emotional ratings and word clouds. Analysis of data collected with Imprecity shows that users tend to express more joy than negative emotions; positive emotions tend to cluster close to the main points of attraction and major touristic routes. All types of emotions tend to cluster along the major mobility routes, in the city centre as well as in the sleeping quarters.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Similar content being viewed by others

Notes

  1. 1.

    https://foursquare.com/.

  2. 2.

    https://spb.flamp.ru/.

  3. 3.

    https://2gis.ru/.

  4. 4.

    https://maps.google.com/localguides.

  5. 5.

    http://emotionsense.org/.

  6. 6.

    Imprecity website - www.imprecity.ru.

  7. 7.

    https://www.ushahidi.com/.

  8. 8.

    https://locolo.me/.

  9. 9.

    https://play.google.com/store/apps/details?id=com.whoisaround.android&hl=ru.

  10. 10.

    красивыйпетербург.рф/.

  11. 11.

    https://gorod.gov.spb.ru/.

  12. 12.

    ag.u-ude.ru/.

  13. 13.

    https://www.mos.ru/city/projects/mystreet/.

References

  1. Wirth, L.: Urbanism as a way of life. Am. J. Sociol. 44(1), 1–24 (1938)

    Article  Google Scholar 

  2. Merleau-Ponty, M.: Phenomenology of Perception. Humanities Press, New York (1962). Routledge & Kegan Paul, London

    Google Scholar 

  3. Lynch, K.: The Image of the City. The MIT Press, New York (1960)

    Google Scholar 

  4. Simmel, G.: The metropolis and mental life. In: The Sociology of Georg Simmel. Free Press, New York (1976). (1903)

    Google Scholar 

  5. Gehl, J.: City for People. Island Press, Washington (2010)

    Google Scholar 

  6. Urry, J.: Mobilities. Polity Press, Cambridge (2007)

    Google Scholar 

  7. Debord, G.: Introduction to a Critique of Urban Geography. Les Lèvres Nues, Paris (1955)

    Google Scholar 

  8. Hart, J.: A New Way of Walking. Utne Reader, New York (2004)

    Google Scholar 

  9. Debord, G.: Psychogeographic Guide of Paris. Permild and Rosengreen, Denmark (1957)

    Google Scholar 

  10. Nielek, R., Wierzbicki, A.: Emotion aware mobile application. In: Pan, J.-S., Chen, S.-M., Nguyen, N.T. (eds.) ICCCI 2010. LNCS (LNAI), vol. 6422, pp. 122–131. Springer, Heidelberg (2010). https://doi.org/10.1007/978-3-642-16732-4_14

    Chapter  Google Scholar 

  11. Hung, G.C.-L., Yang, P.-C., Chang, C.-C., Chiang, J.-H., Chen, Y.-Y.: Predicting negative emotions based on mobile phone usage patterns: an exploratory study. JMIR Res. Protoc. 5, 3 (2016)

    Article  Google Scholar 

  12. Guthier, B., Alharthi, R. Abaalkhail, R., El Saddik, A.: Detection and visualization of emotions in an affect-aware city. In: Proceedings of the 1st International Workshop on Emerging Multimedia Applications and Services for Smart Cities (EMASC 2014), pp. 23–28. ACM, New York (2014)

    Google Scholar 

  13. Quercia, D., O’Hare, N., Cramer, H.: Aesthetic capital: what makes london look beautiful, quiet, and happy? In: Proceedings of the 17th ACM Conference on Computer Supported Cooperative Work & Social Computing (CSCW 2014), pp. 945–955. ACM, New York (2014)

    Google Scholar 

  14. Tifentale, A., Manovich, L.: Selfiecity: exploring photography and self-fashioning in social media. In: Postdigital Aesthetics: Art, Computation and Design, pp. 109–122. Palgrave Macmillan, London (2015)

    Chapter  Google Scholar 

  15. Gallagher, K.: The Social Media Demographics Report: Differences in age, gender, and income at the top platforms. http://www.businessinsider.com/the-social-media-demographics-report-2017-8. Accessed 20 Feb 2018

  16. Brand Analytics: Social Networks in Russia, summer 2017: Numbers and Trends. http://blog.br-analytics.ru/sotsialnye-seti-v-rossii-leto-2017-tsifry-i-trendy/. Accessed 20 Feb 2018

  17. Zhan, X., Ukkusuri, S.V., Zhu, F.: Inferring urban land use using large-scale social media check-in data. Netw. Spat. Econ. 14(3–4), 647–667 (2014)

    Article  MathSciNet  Google Scholar 

  18. Riloff, E.: Learning extraction patterns for subjective expressions. In: Proceedings of the Conference on Empirical Methods in Natural Language Processing. Sapporo (2003)

    Google Scholar 

  19. Mihalcea, R., Liu, H.: A corpus-based approach to finding happiness. In: AAAI Symposium on Computational Approaches to Analysing Weblogs. AAAI Press, Palo Alto (2006)

    Google Scholar 

  20. Wilson, T., Wiebe, J., Hoffmann, P.: Recognizing contextual polarity in phrase-level sentiment analysis. In: Proceedings of the Human Language Technology Conference and Conference on Empirical Methods in Natural Language Processing. Vancouver (2005)

    Google Scholar 

  21. Titov, I., McDonald, R.: A joint model of text and aspect ratings for sentiment summarization. In: Proceedings of the Association for Computational Linguistics and Human Language Technology Conference. Columbus (2008)

    Google Scholar 

  22. Davidov, D., Tsur, O., Rappoport, A.: Enhanced sentiment learning using twitter hashtags and smileys In: Coling. Poster volume, pp. 241–249 (2010)

    Google Scholar 

  23. Tifentale, A., Manovich, L.: Selfiecity: exploring photography and self-fashioning in social media. In: Berry, D.M., Dieter, M. (eds.) Postdigital Aesthetics: Art, Computation and Design, pp. 109–122. Palgrave Macmillan, New York (2015)

    Chapter  Google Scholar 

  24. Boychuk, V., Sukharev, K., Voloshin, D., Karbovskii, V.: An exploratory sentiment and facial expressions analysis of data from photo-sharing on social media: the case of football violence. Procedia Comput. Sci. 80, 398–406 (2016)

    Article  Google Scholar 

  25. Veblen, T.: The Theory of the Leisure Class: An Economic Study of Institutions. Penguin Books, New York (1994). [1899]

    Google Scholar 

  26. Rachuri, K.K., Musolesi, M., Mascolo, C., Rentfrow, P.J., Longworth, C., Aucinas, A.: Emotion sense: a mobile phones based adaptive platform for experimental social psychology research. In: Proceedings 12th International Conference on Ubiquitous Computing, pp. 281–290. Association of Computing Machinery (2010)

    Google Scholar 

  27. Kapelonis, C., Cassiano, L., Fuste, A., Ansu, L., Singh, N.: SEA: Spatial Emotional Awareness for Relationship Nurturing. http://augmentation.media.mit.edu/2017/05/19/sea-spatial-emotional-awareness-for-relationship-nurturing/. Accessed 20 Feb 2018

  28. Emotion Map. https://apkpocket.pw/emotion-map/edu.syr.ischool.orange.emotionmap.apk. Accessed 20 Feb 2018

  29. Bio Mapping - Emotion Mapping. http://biomapping.net. Accessed 20 Feb 2018

  30. Emotional Cartography - Technologies of the Self. In: Nold, C. (ed.) (2009). www.emotionalcartography.net. Accessed 20 Feb 2018

  31. 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. Cambridge (2009)

    Google Scholar 

  32. Ekman, P.: Basic Emotions. In: Dalgleish, T., Power, M. (eds.) Handbook of Cognition and Emotion, pp. 45–60. Wiley, Sussex (1999)

    Google Scholar 

Download references

Acknowledgement

This work is financially supported by Ministry of Education and Science of the Russian Federation, Agreement #14.575.21.0165 (26/09/2017). Unique Identification RFMEFI57517X0165.

Author information

Authors and Affiliations

  1. Institute for Design and Urban Studies ITMO University, Saint Petersburg, Russia

    Aleksandra Nenko & Marina Petrova

Authors
  1. Aleksandra Nenko
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Marina Petrova
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Aleksandra Nenko .

Editor information

Editors and Affiliations

  1. National Research University Higher School of Economics, St. Petersburg, Russia

    Daniel A. Alexandrov

  2. Saint Petersburg State University of Information Technologies, St. Petersburg, Russia

    Alexander V. Boukhanovsky

  3. Saint Petersburg State University of Information Technologies, St. Petersburg, Russia

    Andrei V. Chugunov

  4. National Research University Higher School of Economics, St. Petersburg, Russia

    Yury Kabanov

  5. National Research University Higher School of Economics, St. Petersburg, Russia

    Olessia Koltsova

Rights and permissions

Reprints and permissions

Copyright information

© 2018 Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Nenko, A., Petrova, M. (2018). Emotional Geography of St. Petersburg: Detecting Emotional Perception of the City Space. In: Alexandrov, D., Boukhanovsky, A., Chugunov, A., Kabanov, Y., Koltsova, O. (eds) Digital Transformation and Global Society. DTGS 2018. Communications in Computer and Information Science, vol 859. Springer, Cham. https://doi.org/10.1007/978-3-030-02846-6_8

Download citation

  • DOI: https://doi.org/10.1007/978-3-030-02846-6_8

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-02845-9

  • Online ISBN: 978-3-030-02846-6

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation