Incomplete faces are completed using a more average face
Kramer and Jones
Cognitive Research: Principles and Implications
https://doi.org/10.1186/s41235-022-00429-y
(2022) 7:79
Cognitive Research: Principles
and Implications
Open Access
ORIGINAL ARTICLE
Incomplete faces are completed using
a more average face
Robin S. S. Kramer1* and Alex L. Jones2
Abstract
Facial first impressions are known to influence how we behave towards others. As a result of the COVID-19 pandemic,
we often view incomplete faces due to the commonplace wearing of face masks. Previous research has shown that
perceptions of attractiveness are often increased due to these coverings, with initial evidence suggesting that this
may be caused by viewers using a mental representation of the average face to complete any missing information.
Here, we directly address this hypothesis by presenting participants with incomplete faces (either the lower or upper
half removed) and asking them to decide how they thought the actual, full face looked. Participants were able to
manipulate the missing half of the face onscreen by increasing or decreasing the averageness of its shape. Our results
demonstrated that participants did not select the original versions of the faces but instead chose more average
versions when manipulating both the lower and upper face. Further, the typicality of the original image influenced
responses, with less typical faces (in comparison with more typical ones) being completed using an even more average version of the missing half of the faces. Taken together, these findings provide the first direct evidence that people utilise an average/typical internal representation when inferring information about incomplete faces. This result
has theoretical importance in terms of visual perception, as well as real-world relevance in a time where face masks
are commonplace due to the COVID-19 pandemic.
Keywords: Facial attractiveness, Facial typicality, Positivity bias, Upper- and lower-face, Face morph, Face average
Introduction
Due to the COVID-19 pandemic and the everyday use
of face masks (Rab et al., 2020), we have now become
accustomed to forming facial first impressions based
on incomplete information. Recent studies have begun
to address how the wearing of face masks may have
impacted our rapid and automatic judgements of others (Olson & Marshuetz, 2005; Ritchie et al., 2017; Willis & Todorov, 2006), given that our initial impressions
of strangers can have significant implications for how we
behave towards them. The ‘halo effect’ (Dion et al., 1972),
for example, describes how socially desirable traits are
indiscriminately applied to attractive people, who in turn,
*Correspondence:
1
School of Psychology, University of Lincoln, Brayford Pool, Lincoln LN6 7TS,
UK
Full list of author information is available at the end of the article
may benefit from receiving more help (Benson et al.,
1976), getting more lenient sentences in court (Erian
et al., 1998), and earning higher wages (Pfeifer, 2012).
A growing body of research has focussed on the nature
of attractiveness perceptions when faces are either partly
obscured by masks or entirely visible to the viewer.
Prior to the pandemic, Miyazaki and Kawahara (2016)
showed that faces originally categorised as middle- or
high-attractiveness suffered a decrease in ratings when
presented with face masks. The authors argued that this
pattern of results supported the ‘sanitary-mask effect’,
whereby the presence of masks primed perceptions of
illness/poor health. In contrast, when the lower face
was occluded by a notebook instead, high-attractiveness
faces were rated lower, while low-attractiveness faces
were rated higher. Here, the underlying mechanism was
argued to be the result of the occlusion itself. Covering
the lower part of unattractive faces caused an increase in
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Kramer and Jones Cognitive Research: Principles and Implications
(2022) 7:79
ratings (e.g., by hiding signs of low symmetry and rough
skin) while the same occlusion caused a decrease in ratings for attractive faces (e.g., by hiding signs of high symmetry and smooth skin).
Subsequent research has taken place since the onset of
the pandemic, where our exposure to face masks has presumably negated the above-mentioned negative primes
associated with mask-wearing. Indeed, studies have
tended to show an overall increase in attractiveness perceptions with the presence of face masks, or at least, no
overall decrease in ratings. For instance, Hies and Lewis
(2022) found that face masks increased ratings of attractiveness, and this was equally true for both unattractive
and attractive faces. Further, when faces were considered
without categorising into low and high groups, no overall differences were found when rating faces with versus without face masks (Bennetts et al., 2022; Guo et al.,
2022).
Interestingly, many researchers have also identified different patterns of results for low- and high-attractiveness
faces, perhaps supporting the mechanism described
above (Miyazaki & Kawahara, 2016). For example, Patel
et al. (2020) found that faces when presented with masks
were rated as more attractive in general, although this
was particularly true for the most unattractive faces
(which saw the largest increase). In addition, Kamatani et al. (2021) showed that high-attractiveness faces
decreased in their ratings when presented with masks,
while low-attractiveness faces showed an increase in
their ratings. Finally, Pazhoohi and Kingstone (2022) also
found that unattractive faces were rated as more attractive when presented with masks, although attractive faces
saw no change in how they were perceived. This pattern
was also present in a study by Oldmeadow and Koch
(2021), although these researchers initially categorised
their stimuli based upon trustworthiness rather than
attractiveness: only low-trustworthiness faces increased
in attractiveness ratings when presented wearing masks,
which is consistent with previous research that has established a strong correlation between facial trustworthiness and attractiveness perceptions (e.g., Oosterhof &
Todorov, 2008).
How might we account for th (...truncated)