Memory for faces and voices varies as a function of sex and expressed emotion

PLoS One. 2017 Jun 1;12(6):e0178423. doi: 10.1371/journal.pone.0178423. eCollection 2017.

Abstract

We investigated how memory for faces and voices (presented separately and in combination) varies as a function of sex and emotional expression (anger, disgust, fear, happiness, sadness, and neutral). At encoding, participants judged the expressed emotion of items in forced-choice tasks, followed by incidental Remember/Know recognition tasks. Results from 600 participants showed that accuracy (hits minus false alarms) was consistently higher for neutral compared to emotional items, whereas accuracy for specific emotions varied across the presentation modalities (i.e., faces, voices, and face-voice combinations). For the subjective sense of recollection ("remember" hits), neutral items received the highest hit rates only for faces, whereas for voices and face-voice combinations anger and fear expressions instead received the highest recollection rates. We also observed better accuracy for items by female expressers, and own-sex bias where female participants displayed memory advantage for female faces and face-voice combinations. Results further suggest that own-sex bias can be explained by recollection, rather than familiarity, rates. Overall, results show that memory for faces and voices may be influenced by the expressions that they carry, as well as by the sex of both items and participants. Emotion expressions may also enhance the subjective sense of recollection without enhancing memory accuracy.

MeSH terms

  • Adolescent
  • Adult
  • Emotions*
  • Facial Recognition*
  • Female
  • Humans
  • Male
  • Memory*
  • Sex Factors*
  • Young Adult

Grants and funding

This research was supported by the Swedish Research Council awarded to PL (2012-801). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript. http://www.vr.se/inenglish.4.12fff4451215cbd83e4800015152.html.