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2016 | OriginalPaper | Buchkapitel

Using Instagram Picture Features to Predict Users’ Personality

verfasst von : Bruce Ferwerda, Markus Schedl, Marko Tkalcic

Erschienen in: MultiMedia Modeling

Verlag: Springer International Publishing

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Abstract

Instagram is a popular social networking application, which allows photo-sharing and applying different photo filters to adjust the appearance of a picture. By applying these filters, users are able to create a style that they want to express to their audience. In this study we tried to infer personality traits from the way users manipulate the appearance of their pictures by applying filters to them. To investigate this relationship, we studied the relationship between picture features and personality traits. To collect data, we conducted an online survey where we asked participants to fill in a personality questionnaire, and grant us access to their Instagram account through the Instagram API. Among 113 participants and 22,398 extracted Instagram pictures, we found distinct picture features (e.g., relevant to hue, brightness, saturation) that are related to personality traits. Our findings suggest a relationship between personality traits and these picture features. Based on our findings, we also show that personality traits can be accurately predicted. This allow for new ways to extract personality traits from social media trails, and new ways to facilitate personalized systems.

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Fußnoten
2
Our preliminary results of this work can be found in [10].
 
3
HITs (Human Intelligence Tasks) represent the assignments a user has participated in on Amazon Mechanical Turk prior to this study.
 
5
The magnitude of the correlations are commonly found in relationships between personality traits and social media trails (e.g., [2, 12, 13, 24, 25, 27]).
 
Literatur
1.
Zurück zum Zitat Aran, O., Gatica-Perez, D.: Cross-domain personality prediction: from video blogs to small group meetings. In: Proceedings of the 15th ACM on International Conference on Multimodal Interaction, pp. 127–130. ACM (2013) Aran, O., Gatica-Perez, D.: Cross-domain personality prediction: from video blogs to small group meetings. In: Proceedings of the 15th ACM on International Conference on Multimodal Interaction, pp. 127–130. ACM (2013)
2.
Zurück zum Zitat Back, M.D., Stopfer, J.M., Vazire, S., Gaddis, S., Schmukle, S.C., Egloff, B., Gosling, S.D.: Facebook profiles reflect actual personality, not self-idealization. Psychol. Sci. 21, 372–374 (2010)CrossRef Back, M.D., Stopfer, J.M., Vazire, S., Gaddis, S., Schmukle, S.C., Egloff, B., Gosling, S.D.: Facebook profiles reflect actual personality, not self-idealization. Psychol. Sci. 21, 372–374 (2010)CrossRef
3.
Zurück zum Zitat Biel, J.I., Aran, O., Gatica-Perez, D.: You are known by how you vlog: personality impressions and nonverbal behavior in youtube. In: ICWSM. Citeseer (2011) Biel, J.I., Aran, O., Gatica-Perez, D.: You are known by how you vlog: personality impressions and nonverbal behavior in youtube. In: ICWSM. Citeseer (2011)
4.
Zurück zum Zitat Biel, J.I., Gatica-Perez, D.: The youtube lens: crowdsourced personality impressions and audiovisual analysis of vlogs. IEEE Trans. Multimedia 15(1), 41–55 (2013)CrossRef Biel, J.I., Gatica-Perez, D.: The youtube lens: crowdsourced personality impressions and audiovisual analysis of vlogs. IEEE Trans. Multimedia 15(1), 41–55 (2013)CrossRef
5.
Zurück zum Zitat Celli, F., Bruni, E., Lepri, B.: Automatic personality and interaction style recognition from facebook profile pictures. In: Proceedings of the ACM International Conference on Multimedia, pp. 1101–1104. ACM (2014) Celli, F., Bruni, E., Lepri, B.: Automatic personality and interaction style recognition from facebook profile pictures. In: Proceedings of the ACM International Conference on Multimedia, pp. 1101–1104. ACM (2014)
6.
Zurück zum Zitat Chittaranjan, G., Blom, J., Gatica-Perez, D.: Mining large-scale smartphone data for personality studies. Pers. Ubiquit. Comput. 17(3), 433–450 (2013)CrossRef Chittaranjan, G., Blom, J., Gatica-Perez, D.: Mining large-scale smartphone data for personality studies. Pers. Ubiquit. Comput. 17(3), 433–450 (2013)CrossRef
7.
Zurück zum Zitat Cristani, M., Vinciarelli, A., Segalin, C., Perina, A.: Unveiling the multimedia unconscious: implicit cognitive processes and multimedia content analysis. In: Proceedings of the 21st ACM International Conference on Multimedia (2013) Cristani, M., Vinciarelli, A., Segalin, C., Perina, A.: Unveiling the multimedia unconscious: implicit cognitive processes and multimedia content analysis. In: Proceedings of the 21st ACM International Conference on Multimedia (2013)
8.
Zurück zum Zitat Ferwerda, B., Schedl, M.: Enhancing music recommender systems with personality information and emotional states: a proposal. In: Proceedings of the EMPIRE Workshop (2014) Ferwerda, B., Schedl, M.: Enhancing music recommender systems with personality information and emotional states: a proposal. In: Proceedings of the EMPIRE Workshop (2014)
9.
Zurück zum Zitat Ferwerda, B., Schedl, M., Tkalcic, M.: Personality & emotional states: understanding users’ music listening needs. In: UMAP 2015 Extended Proceedings (2015) Ferwerda, B., Schedl, M., Tkalcic, M.: Personality & emotional states: understanding users’ music listening needs. In: UMAP 2015 Extended Proceedings (2015)
10.
Zurück zum Zitat Ferwerda, B., Schedl, M., Tkalcic, M.: Predicting personality traits with instagram pictures. In: Proceedings of the 3rd Workshop on Emotions and Personality in Personalized Systems 2015, pp. 7–10. ACM (2015) Ferwerda, B., Schedl, M., Tkalcic, M.: Predicting personality traits with instagram pictures. In: Proceedings of the 3rd Workshop on Emotions and Personality in Personalized Systems 2015, pp. 7–10. ACM (2015)
11.
Zurück zum Zitat Ferwerda, B., Yang, E., Schedl, M., Tkalcic, M.: Personality traits predict music taxonomy preferences. In: CHI 2015 Extended Abstracts. ACM (2015) Ferwerda, B., Yang, E., Schedl, M., Tkalcic, M.: Personality traits predict music taxonomy preferences. In: CHI 2015 Extended Abstracts. ACM (2015)
12.
Zurück zum Zitat Golbeck, J., Robles, C., Edmondson, M., Turner, K.: Predicting personality from twitter. In: IEEE Third Conference on Social Computing, pp. 149–156 (2011) Golbeck, J., Robles, C., Edmondson, M., Turner, K.: Predicting personality from twitter. In: IEEE Third Conference on Social Computing, pp. 149–156 (2011)
13.
Zurück zum Zitat Gosling, S.D., Gaddis, S., Vazire, S., et al.: Personality impressions based on facebook profiles. In: ICWSM (2007) Gosling, S.D., Gaddis, S., Vazire, S., et al.: Personality impressions based on facebook profiles. In: ICWSM (2007)
14.
Zurück zum Zitat Huang, C.M., Park, D.: Cultural influences on facebook photographs. Int. J. Psychol. 48(3), 334–343 (2013)CrossRef Huang, C.M., Park, D.: Cultural influences on facebook photographs. Int. J. Psychol. 48(3), 334–343 (2013)CrossRef
15.
Zurück zum Zitat Humston, E.M., Knowles, J.D., McShea, A., Synovec, R.E.: Quantitative assessment of moisture damage for cacao bean quality using two-dimensional gas chromatography combined with time-of-flight mass spectrometry and chemometrics. J. Chromatogr. A 1217(12), 1963–1970 (2010)CrossRef Humston, E.M., Knowles, J.D., McShea, A., Synovec, R.E.: Quantitative assessment of moisture damage for cacao bean quality using two-dimensional gas chromatography combined with time-of-flight mass spectrometry and chemometrics. J. Chromatogr. A 1217(12), 1963–1970 (2010)CrossRef
16.
Zurück zum Zitat John, O.P., Donahue, E.M., Kentle, R.L.: The Big Five Inventory: Institute of Personality and Social Research. UC Berkeley, CA (1991) John, O.P., Donahue, E.M., Kentle, R.L.: The Big Five Inventory: Institute of Personality and Social Research. UC Berkeley, CA (1991)
17.
Zurück zum Zitat Khot, L.R., Panigrahi, S., Doetkott, C., Chang, Y., Glower, J., Amamcharla, J., Logue, C., Sherwood, J.: Evaluation of technique to overcome small dataset problems during neural-network based contamination classification of packaged beef using integrated olfactory sensor system. LWT-Food Sci. Technol. 45(2), 233–240 (2012)CrossRef Khot, L.R., Panigrahi, S., Doetkott, C., Chang, Y., Glower, J., Amamcharla, J., Logue, C., Sherwood, J.: Evaluation of technique to overcome small dataset problems during neural-network based contamination classification of packaged beef using integrated olfactory sensor system. LWT-Food Sci. Technol. 45(2), 233–240 (2012)CrossRef
18.
Zurück zum Zitat Kittur, A., Chi, E.H., Suh, B.: Crowdsourcing user studies with mechanical turk. In: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, pp. 453–456. ACM (2008) Kittur, A., Chi, E.H., Suh, B.: Crowdsourcing user studies with mechanical turk. In: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, pp. 453–456. ACM (2008)
19.
Zurück zum Zitat Lepri, B., Subramanian, R., Kalimeri, K., Staiano, J., Pianesi, F., Sebe, N.: Connecting meeting behavior with extraversion—a systematic study. IEEE Trans. Affect. Comput. 3(4), 443–455 (2012) Lepri, B., Subramanian, R., Kalimeri, K., Staiano, J., Pianesi, F., Sebe, N.: Connecting meeting behavior with extraversion—a systematic study. IEEE Trans. Affect. Comput. 3(4), 443–455 (2012)
20.
Zurück zum Zitat Machajdik, J., Hanbury, A.: Affective image classification using features inspired by psychology and art theory. In: Proceedings of the International Conference on Multimedia, pp. 83–92. ACM (2010) Machajdik, J., Hanbury, A.: Affective image classification using features inspired by psychology and art theory. In: Proceedings of the International Conference on Multimedia, pp. 83–92. ACM (2010)
21.
Zurück zum Zitat McCrae, R.R., John, O.P.: An introduction to the five-factor model and its applications. J. Pers. 60(2), 175–215 (1992)CrossRef McCrae, R.R., John, O.P.: An introduction to the five-factor model and its applications. J. Pers. 60(2), 175–215 (1992)CrossRef
22.
Zurück zum Zitat Mohammadi, G., Vinciarelli, A.: Automatic personality perception: prediction of trait attribution based on prosodic features. IEEE Trans. Affect. Comput. 3(3), 273–284 (2012)CrossRef Mohammadi, G., Vinciarelli, A.: Automatic personality perception: prediction of trait attribution based on prosodic features. IEEE Trans. Affect. Comput. 3(3), 273–284 (2012)CrossRef
23.
Zurück zum Zitat de Montjoye, Y.-A., Quoidbach, J., Robic, F., Pentland, A.S.: Predicting personality using novel mobile phone-based metrics. In: Greenberg, A.M., Kennedy, W.G., Bos, N.D. (eds.) SBP 2013. LNCS, vol. 7812, pp. 48–55. Springer, Heidelberg (2013) CrossRef de Montjoye, Y.-A., Quoidbach, J., Robic, F., Pentland, A.S.: Predicting personality using novel mobile phone-based metrics. In: Greenberg, A.M., Kennedy, W.G., Bos, N.D. (eds.) SBP 2013. LNCS, vol. 7812, pp. 48–55. Springer, Heidelberg (2013) CrossRef
24.
Zurück zum Zitat Park, G., Schwartz, H.A., Eichstaedt, J.C., Kern, M.L., Kosinski, M., Stillwell, D.J., Ungar, L.H., Seligman, M.E.: Automatic personality assessment through social media language (2014) Park, G., Schwartz, H.A., Eichstaedt, J.C., Kern, M.L., Kosinski, M., Stillwell, D.J., Ungar, L.H., Seligman, M.E.: Automatic personality assessment through social media language (2014)
25.
Zurück zum Zitat Quercia, D., Kosinski, M., Stillwell, D., Crowcroft, J.: Our twitter profiles, our selves: predicting personality with twitter. In: IEEE Third Conference on Social Computing, pp. 180–185 (2011) Quercia, D., Kosinski, M., Stillwell, D., Crowcroft, J.: Our twitter profiles, our selves: predicting personality with twitter. In: IEEE Third Conference on Social Computing, pp. 180–185 (2011)
26.
Zurück zum Zitat Rawlings, D., Ciancarelli, V.: Music preference and the five-factor model of the neo personality inventory. Psychol. Music 25(2), 120–132 (1997)CrossRef Rawlings, D., Ciancarelli, V.: Music preference and the five-factor model of the neo personality inventory. Psychol. Music 25(2), 120–132 (1997)CrossRef
27.
Zurück zum Zitat Ross, C., Orr, E.S., Sisic, M., Arseneault, J.M., Simmering, M.G., Orr, R.R.: Personality and motivations associated with facebook use. Comput. Hum. Behav. 25, 578–586 (2009)CrossRef Ross, C., Orr, E.S., Sisic, M., Arseneault, J.M., Simmering, M.G., Orr, R.R.: Personality and motivations associated with facebook use. Comput. Hum. Behav. 25, 578–586 (2009)CrossRef
28.
Zurück zum Zitat Tkalčič, M., Ferwerda, B., Hauger, D., Schedl, M.: Personality correlates for digital concert program notes. In: Ricci, F., Bontcheva, K., Conlan, O., Lawless, S. (eds.) UMAP 2015. LNCS, vol. 9146, pp. 364–369. Springer, Heidelberg (2015) CrossRef Tkalčič, M., Ferwerda, B., Hauger, D., Schedl, M.: Personality correlates for digital concert program notes. In: Ricci, F., Bontcheva, K., Conlan, O., Lawless, S. (eds.) UMAP 2015. LNCS, vol. 9146, pp. 364–369. Springer, Heidelberg (2015) CrossRef
29.
Zurück zum Zitat Tkalcic, M., Kunaver, M., Košir, A., Tasic, J.: Addressing the new user problem with a personality based user similarity measure. In: DEMRA (2011) Tkalcic, M., Kunaver, M., Košir, A., Tasic, J.: Addressing the new user problem with a personality based user similarity measure. In: DEMRA (2011)
30.
Zurück zum Zitat Tkalcic, M., Tasic, J.: Colour spaces: perceptual, historical and applicational background. In: IEEE EUROCON, Computer as a Tool, pp. 304–308 (2003) Tkalcic, M., Tasic, J.: Colour spaces: perceptual, historical and applicational background. In: IEEE EUROCON, Computer as a Tool, pp. 304–308 (2003)
31.
Zurück zum Zitat Valdez, P., Mehrabian, A.: Effects of color on emotions. J. Exp. Psychol. Gen. 123(4), 394 (1994)CrossRef Valdez, P., Mehrabian, A.: Effects of color on emotions. J. Exp. Psychol. Gen. 123(4), 394 (1994)CrossRef
32.
Zurück zum Zitat Vinciarelli, A., Mohammadi, G.: A survey of personality computing. IEEE Trans. Affect. Comput. 5(3), 273–291 (2014)CrossRef Vinciarelli, A., Mohammadi, G.: A survey of personality computing. IEEE Trans. Affect. Comput. 5(3), 273–291 (2014)CrossRef
33.
Zurück zum Zitat Viola, P., Jones, M.J.: Robust real-time face detection. Int. J. Comput. Vis. 57(2), 137–154 (2004)CrossRef Viola, P., Jones, M.J.: Robust real-time face detection. Int. J. Comput. Vis. 57(2), 137–154 (2004)CrossRef
34.
Zurück zum Zitat Witten, I.H., Frank, E.: Data Mining: Practical Machine Learning Tools and Techniques. Morgan Kaufmann, San Francisco (2005) Witten, I.H., Frank, E.: Data Mining: Practical Machine Learning Tools and Techniques. Morgan Kaufmann, San Francisco (2005)
Metadaten
Titel
Using Instagram Picture Features to Predict Users’ Personality
verfasst von
Bruce Ferwerda
Markus Schedl
Marko Tkalcic
Copyright-Jahr
2016
DOI
https://doi.org/10.1007/978-3-319-27671-7_71

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