2014
DOI: 10.1117/12.2042411
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Would you hire me? Selfie portrait images perception in a recruitment context

Abstract: Human content perception has been underlined to be important in multimedia quality evaluation. Recently aesthetic considerations have been subject of research in this field. First attempts in aesthetics took into account perceived low-level features, especially taken from photography theory. However they demonstrated to be insufficient to characterize human content perception. More recently image psychology started to be considered as higher cognitive feature impacting user perception. In this paper we follow … Show more

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Cited by 9 publications
(10 citation statements)
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“…Instead, they should encourage consumers to take less snapshot selfies and more professional or parody ones. As they are usually conceived as more valuable, thoroughly thought-out selfies give more importance to a commercial message about a brand, service, or product (Mazza et al, 2014).…”
Section: Practical Implicationsmentioning
confidence: 99%
“…Instead, they should encourage consumers to take less snapshot selfies and more professional or parody ones. As they are usually conceived as more valuable, thoroughly thought-out selfies give more importance to a commercial message about a brand, service, or product (Mazza et al, 2014).…”
Section: Practical Implicationsmentioning
confidence: 99%
“…The term selfie describes what is now a ubiquitous social practice variously referred to as 'self-shooting' (Tiidenberg, 2014), 'selfie portraits' (Mazza, Da Silva and Le Callet, 2014) and 'self-generated digital photographic portraiture' (Senft andBaym 2015, 1588). Research on selfies is prodigious with previous studies examining selfie-taking by teenagers (Dobson, 2015;Marwick, 2015), the use of selfies among elite user groups (eg.…”
Section: Selfies and Diy Politicsmentioning
confidence: 99%
“…Despite these differences between crowdsourced and laboratory-based image and video quality assessment, crowdsourced image and video quality assessment has been used so far successfully as a replacement for laboratory-based QoE assessments for a number of different research questions: Image recognizability and aesthetic appeal [81,83,84], selfie portrait images perception in a recruitment context [69], privacy in HDR images and video [59,60,86], QoE of video coding in general [57,58], audio-visual QoE of Internet-based applications in [8,9,109], and influence of stalling events and initial delays [34,36] on the QoE of video streaming applications. In addition, a general discussion using crowdsourcing for image and video QoE is provided by Hossfeld et al [33,84].…”
Section: Image and Video Qoementioning
confidence: 99%