Looking good with flickr faves: Gaussian processes for finding difference makers in personality impressions

Xiaoyu Xiong; Maurizio Filippone; Alessandro Vinciarelli

doi:10.1145/2964284.2967253

Looking good with flickr faves: Gaussian processes for finding difference makers in personality impressions

Xiaoyu Xiong, Maurizio Filippone, Alessandro Vinciarelli

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Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

5 Scopus citations

Abstract

Flickr allows its users to generate galleries of \faves", i.e., pictures that they have tagged as favourite. According to recent studies, the faves are predictive of the personality traits that people attribute to Flickr users. This article investigates the phenomenon and shows that faves allow one to predict whether a Flickr user is perceived to be above median or not with respect to each of the Big-Five Traits (accuracy up to 79% depending on the trait). The classifier - based on Gaussian Processes with a new kernel designed for this work - allows one to identify the visual characteristics of faves that better account for the prediction outcome.

Original language	English (US)
Title of host publication	MM 2016 - Proceedings of the 2016 ACM Multimedia Conference
Publisher	Association for Computing Machinery, Inc
Pages	412-415
Number of pages	4
ISBN (Electronic)	9781450336031
DOIs	https://doi.org/10.1145/2964284.2967253
State	Published - Oct 1 2016
Event	24th ACM Multimedia Conference, MM 2016 - Amsterdam, United Kingdom Duration: Oct 15 2016 → Oct 19 2016

Publication series

Name	MM 2016 - Proceedings of the 2016 ACM Multimedia Conference

Conference

Conference	24th ACM Multimedia Conference, MM 2016
Country/Territory	United Kingdom
City	Amsterdam
Period	10/15/16 → 10/19/16

Bibliographical note

Publisher Copyright:
© 2016 ACM.

Keywords

Computational aesthetics
Personality
Social media

ASJC Scopus subject areas

Computer Graphics and Computer-Aided Design
Human-Computer Interaction
Computer Vision and Pattern Recognition
Software

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10.1145/2964284.2967253

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Xiong, X., Filippone, M., & Vinciarelli, A. (2016). Looking good with flickr faves: Gaussian processes for finding difference makers in personality impressions. In MM 2016 - Proceedings of the 2016 ACM Multimedia Conference (pp. 412-415). (MM 2016 - Proceedings of the 2016 ACM Multimedia Conference). Association for Computing Machinery, Inc. https://doi.org/10.1145/2964284.2967253

@inproceedings{f06ecd88abe2447092aed51a13015035,

title = "Looking good with flickr faves: Gaussian processes for finding difference makers in personality impressions",

abstract = "Flickr allows its users to generate galleries of \faves{"}, i.e., pictures that they have tagged as favourite. According to recent studies, the faves are predictive of the personality traits that people attribute to Flickr users. This article investigates the phenomenon and shows that faves allow one to predict whether a Flickr user is perceived to be above median or not with respect to each of the Big-Five Traits (accuracy up to 79% depending on the trait). The classifier - based on Gaussian Processes with a new kernel designed for this work - allows one to identify the visual characteristics of faves that better account for the prediction outcome.",

keywords = "Computational aesthetics, Personality, Social media",

author = "Xiaoyu Xiong and Maurizio Filippone and Alessandro Vinciarelli",

note = "Publisher Copyright: {\textcopyright} 2016 ACM.; 24th ACM Multimedia Conference, MM 2016 ; Conference date: 15-10-2016 Through 19-10-2016",

year = "2016",

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doi = "10.1145/2964284.2967253",

language = "English (US)",

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Xiong, X, Filippone, M & Vinciarelli, A 2016, Looking good with flickr faves: Gaussian processes for finding difference makers in personality impressions. in MM 2016 - Proceedings of the 2016 ACM Multimedia Conference. MM 2016 - Proceedings of the 2016 ACM Multimedia Conference, Association for Computing Machinery, Inc, pp. 412-415, 24th ACM Multimedia Conference, MM 2016, Amsterdam, United Kingdom, 10/15/16. https://doi.org/10.1145/2964284.2967253

Looking good with flickr faves: Gaussian processes for finding difference makers in personality impressions. / Xiong, Xiaoyu; Filippone, Maurizio; Vinciarelli, Alessandro.
MM 2016 - Proceedings of the 2016 ACM Multimedia Conference. Association for Computing Machinery, Inc, 2016. p. 412-415 (MM 2016 - Proceedings of the 2016 ACM Multimedia Conference).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AB - Flickr allows its users to generate galleries of \faves", i.e., pictures that they have tagged as favourite. According to recent studies, the faves are predictive of the personality traits that people attribute to Flickr users. This article investigates the phenomenon and shows that faves allow one to predict whether a Flickr user is perceived to be above median or not with respect to each of the Big-Five Traits (accuracy up to 79% depending on the trait). The classifier - based on Gaussian Processes with a new kernel designed for this work - allows one to identify the visual characteristics of faves that better account for the prediction outcome.

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Looking good with flickr faves: Gaussian processes for finding difference makers in personality impressions

Abstract

Publication series

Conference

Bibliographical note

Keywords

ASJC Scopus subject areas

Access to Document

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