Abstract
Design education and practice have been deeply interlinked with industrialization throughout their history, but on recent years, global initiatives like the UN Sustainable Development Goals have challenged the conventional production and consumption models. Therefore, to understand the relationship between pro-environmental sentiments, attitudes and behaviours related to design, the present study proposes the development of a Sustainable Design lexicon. Through a combined method of semantic and sentiment analysis incorporating graphical symbols included in text based data, it is expected to uncover the psychological and contextual factors aiding the production and acceptance of Sustainable Design in developed and developing countries. The lexicon is expected to aid the development of an algorithm for video recommendations, which would improve creative people’s learning experience of complex and biological related content.
References
Abrahamse, W., Steg, L., Vlek, C., Rothengatter, T.: A review of intervention studies aimed at household energy conservation. J. Environ. Psychol. 25(3), 273–291 (2005). doi:10.1016/j.jenvp.2005.08.002
Abrahamse, W., Steg, L., Vlek, C., Rothengatter, T.: The effect of tailored information, goal setting, and tailored feedback on household energy use, energy-related behaviors, and behavioral antecedents. J. Environ. Psychol. 27(4), 265–276 (2007). doi:10.1016/j.jenvp.2007.08.002
Ahn, H.: Modeling and analysis of affective influences on human experience, prediction, decision making, and behavior. Ph.D. dissertation, Massachusetts Institute of Technology (2010). http://affect.media.mit.edu/pdfs/10.hyungil-phd.pdf
Borgatti, S.P., Everett, M.G., Freeman, L.C.: UCINET for windows: software for social network analysis. Analytic Technologies, Harvard (2002). https://sites.google.com/site/ucinetsoftware/home
Bradley, M.M., Lang, P.J.: Affective norms for English words (ANEW): instruction manual and affective ratings. Technical report C-1, The Center for Research in Psychophysiology, University of Florida (1999). http://www.uvm.edu/pdodds/teaching/courses/2009-08UVM-300/docs/others/everything/bradley1999a.pdf
Carter, C.M.: Sustainable consumption & sustainable design: moving sustainability theory towards design practice. Ph.D. dissertation, University of Texas (2013). https://repositories.lib.utexas.edu/handle/2152/22338
Chmiel, A., Sienkiewicz, J., Thelwall, M., Paltoglou, G., Buckley, K., Kappas, A., Hołyst, J.A.: Collective emotions online and their influence on community life. PLoS ONE 6(7), e22207 (2011). http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0022207
Cialdini, R.B.: Influence: science and practice (2001). https://www.academia.edu/570634/Influence_Science_and_practice
Daamen, D.D., Dancker, H., Staats, H., Wilke, A.M., Engelen, M.: Improving environmental behavior in companies: the effectiveness of tailored versus nontailored interventions. Environ. Behav. 33(2), 229–248 (2001). doi:10.1177/00139160121972963
Dodds, P.S., Danforth, C.M.: Measuring the happiness of large-scale written expression: songs, blogs, and presidents. J. Happiness Stud. 11(4), 441–456 (2010). doi:10.1007/s10902-009-9150-9
Easterlin, N.: A Biocultural Approach to Literary Theory and Interpretation. JHU Press, Baltimore (2012)
Franzosi, R.: PC-ACE (2016). https://pc-ace.com
Gifford, R.: 33 reasons why mankind isn’t acting to stem global warming. PostMagazine (2015). http://www.scmp.com/magazines/post-magazine/article/1848858/33-reasons-why-mankind-isnt-acting-stem-global-warming
Gruzd, A.: Emotions in the twitterverse and implications for user interface design. AIS Trans. Hum. Comput. Interact. 5(1), 42–56 (2013). http://aisel.aisnet.org/thci/vol5/iss1/4
Gutsell, J.N., Inzlicht, M.: A neuroaffective perspective on why people fail to live a sustainable lifestyle. In: Van Trijp, H.C. (ed.) Encouraging Sustainable Behavior: Psychology and the Environment, pp. 137–154. Psychology Press, New York (2013)
Hołyst, J.A., Chmiel, A., Sienkiewicz, J.: Detection and modeling of collective emotions in online data. In: Holyst, J.A. (ed.) Cyberemotions, pp. 137–158. Springer, Cham (2017). doi:10.1007/978-3-319-43639-5_8
Ji, E., Amor, M.C.: Bridging the gap between sustainable design education and application. Int. J. Des. Manag. Prof. Pract. 8(3–4), 15–38 (2014)
Kelly, C.: Do you know what I mean > :( A linguistic study of the understanding of emoticons and emojis in text messages. Bachelor dissertation, Halmad University (2015). http://www.diva-portal.org/smash/record.jsf?pid=diva2%3A783789&dswid=-2179
Leydesdorff, L.: TI.exe for co-word analysis (2013). http://www.leydesdorff.net/software/ti/index.htm
Mckenzie-Mohr, D.: New ways to promote proenvironmental behavior: promoting sustainable behavior: an introduction to community-based social marketing. J. Soc. Issues 56(3), 543–554 (2000). doi:10.1111/0022-4537.00183
Mishne, G.: Experiments with mood classification in blog posts. In: Argamon, S., Karlgren, J., Shanahan, J. (eds.) Proceedings of ACM SIGIR 2005 Workshop on Stylistic Analysis of Text for Information Access, vol. 19, pp. 321–327. Citeseer (2005). https://pdfs.semanticscholar.org/0982/8f26fd9bb7ef105538fa51a57456ae38e63e.pdf
Saif, M.M., Turney, P.D.: Crowdsourcing a word-emotion association lexicon. Comput. Intell. 29(3), 436–465 (2013). doi:10.1111/j.1467-8640.2012.00460.x
Niedderer, K., Ludden, G., Clune, S., Lockton, D., Mackrill, J., Morris, A., Cain, R., et al.: Design for behaviour change as a driver for sustainable innovation: challenges and opportunities for implementation in the private and public sectors. Int. J. Des. 10(2), 67–85 (2016)
Novak, P.K., Smailović, J., Sluban, B., Mozetič, I.: Sentiment of emojis. PLoS ONE 10(12), e0144296 (2015). http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0144296
Paltoglou, G., Theunis, M., Kappas, A., Thelwall, M.: Predicting emotional responses to long informal text. IEEE Trans. Affect. Comput. 4(1), 106–115 (2013). doi:10.1109/T-AFFC.2012.26
Paltoglou, G., Thelwall, M.: Sensing social media: a range of approaches for sentiment analysis. In: Holyst, J.A. (ed.) Cyberemotions, pp. 97–117. Springer, Cham (2017). doi:10.1007/978-3-319-43639-5_6
Park, J., Barash, V., Fink, C., Cha, M.: Emoticon style: interpreting differences in emoticons across cultures. In: Seventh International AAAI Conference on Weblogs and Social Media, North America, June 2013
R Core Team: R: a language and environment for statistical computing. R Foundation for Statistical Computing, Vienna (2013). http://www.R-project.org
Redondo, J., Fraga, I., Padrón, I., Comesaña, M.: The Spanish adaptation of ANEW (affective norms for English words). Behav. Res. Methods 39(3), 600–605 (2007). doi:10.3758/BF03193031
Rieder, B.: YouTube data tools. Computer software. Vers. 1.0. N.p (2015). https://tools.digitalmethods.net/netvizz/youtube
Scannell, L., Gifford, R.: Defining place attachment: a tripartite organizing framework. J. Environ. Psychol. 30(1), 1–10 (2010). doi:10.1016/j.jenvp.2009.09.006
Schultz, P., Wesley, J.M., Nolan, R.B., Cialdini, N.J., Griskevicius, V.: The constructive, destructive, and reconstructive power of social norms. Psychol. Sci. 18(5), 429–434 (2007). doi:10.1111/j.1467-9280.2007.01917.x
Strapparava, C., Valitutti, A.: WordNet affect: an affective extension of WordNet. In: Proceedings of the 4th International Conference on Language Resources and Evaluation, Lisbon, Portugal, vol. 4, pp. 1083–1086 (2004)
Tausczik, Y.R., Pennebaker, J.W.: The psychological meaning of words: LIWC and computerized text analysis methods. J. Lang. Soc. Psychol. 29(1), 24–54 (2010). doi:10.1177/0261927X09351676
Thelwall, M.: The heart and soul of the web? Sentiment strength detection in the social web with sentistrength. In: Holyst, J.A. (ed.) Cyberemotions, pp. 119–134. Springer, Cham (2017). doi:10.1007/978-3-319-43639-5_7
Thelwall, M., Sud, P., Vis, F.: Commenting on YouTube videos: from Guatemalan rock to el big bang. J. Am. Soc. Inf. Sci. Technol. 63(3), 616–629 (2012). doi:10.1002/asi.21679
Ueda, E.S.: Industrial designers working towards an eco-innovation approach. Bull. Jpn. Soc. Sci. Des. 62(1), 11–20 (2015). doi:10.11247/jssdj.62.1_11
Van Atteveldt, W.H.: Semantic network analysis: techniques for extracting, representing, and querying media content. Ph.D. dissertation, Vrije Universiteit (2008). http://dare.ubvu.vu.nl/bitstream/handle/1871/15964/title?sequence=2
Vargas-Meza, X., Yamanaka, T.: Local food & organic food: communication and sentiment in YouTube video networks. In: 6th International Kansei Engineering and Emotion Research Conference KEER, University of Leeds, Leeds, UK, 31 August–2 September 2016 (2016)
Vargas-Meza, X., Yamanaka, T.: Sustainable design in video social networks. In: Tsukuba Global Science Week 2016, Tsukuba, Japan (2016). http://jairo.nii.ac.jp/0025/00039976
Wallace, J.: Handmade 2.0: women, DIY networks and the cultural economy of craft. Ph.D. dissertation, Concordia University (2014). http://spectrum.library.concordia.ca/978912/
Zafra, R.: Ciberfeminismo y ‘net-art’, redes interconectadas. Mujeres en Red. El Periódico Feminista (2008). http://www.mujeresenred.net/spip.php?article
Acknowledgements
The authors wish to thank Akira Uno, Constantine Pavlides, Mike Thelwall and Roberto Franzosi.
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Xanat, V.M., Toshimasa, Y. (2017). Development of a Sustainable Design Lexicon. Towards Understanding the Relationship Between Sentiments, Attitudes and Behaviours. In: Nguyen, N., Papadopoulos, G., Jędrzejowicz, P., Trawiński, B., Vossen, G. (eds) Computational Collective Intelligence. ICCCI 2017. Lecture Notes in Computer Science(), vol 10449. Springer, Cham. https://doi.org/10.1007/978-3-319-67077-5_35
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