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

Xiaoyu Xiong, Maurizio Filippone, Alessandro Vinciarelli

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

4 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 languageEnglish (US)
Title of host publicationMM 2016 - Proceedings of the 2016 ACM Multimedia Conference
PublisherAssociation for Computing Machinery, Inc
Pages412-415
Number of pages4
ISBN (Electronic)9781450336031
DOIs
StatePublished - Oct 1 2016
Event24th ACM Multimedia Conference, MM 2016 - Amsterdam, United Kingdom
Duration: Oct 15 2016Oct 19 2016

Publication series

NameMM 2016 - Proceedings of the 2016 ACM Multimedia Conference

Conference

Conference24th ACM Multimedia Conference, MM 2016
Country/TerritoryUnited Kingdom
CityAmsterdam
Period10/15/1610/19/16

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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