Belinda M Craig
Biographic Data
| ID | 3657705 |
|---|---|
| NAME | Belinda M Craig |
| GIVEN NAMES | Belinda M |
| FAMILY NAME | Craig |
| SIGNATURE | CRAIG B M |
| AFFILIATIONS | Bond University |
| ORCID | 0000-0001-7271-1459 |
| VERIFIED | Yes |
| TOTAL WORKS | 21 |
| TOTAL CITATIONS | 5 |
| AUTHOR COUNT | 21 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2012 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 2 |
What people say, but not what they love or hate, affects speeded emotional expression recognition
Pleasant facial expressions, like happiness, are recognised faster than negative expressions such as anger or fear. The size of this happy face advantage depends on facial social category cues (larger for female, young or ethnic ingroup faces), facial attractiveness (larger for attractive faces), and person knowledge (larger for persons believed to be of good character). These findings are best explained by the evaluative congruence account, whic…
The positive facial expression advantage
Past research has shown that facial expressions of happiness are recognized faster than negative expressions such as anger. This happy face advantage is influenced by facial social category cues; it is larger for faces that are female, young, or represent an ethnic ingroup. The phenomenon of the happy face advantage as well as the influence of social cues on recognition of happy expressions is best explained by the evaluative congruence account. …
Emotional scenes as context in emotional expression recognition
Emotion recognition is influenced by contextual information such as social category cues or background scenes. However, past studies yielded mixed findings regarding whether broad valence or specific emotion matches drive context effects and how multiple sources of contextual information may influence emotion recognition. To address these questions, participants were asked to categorize expressions on male and female faces posing happiness and an…
Australian Youth Mental Health and Climate Change Concern After the Black Summer Bushfires
Climate change and its effects present notable challenges for mental health, particularly for vulnerable populations, including young people. Immediately following the unprecedented Black Summer bushfire season of 2019/2020, 746 Australians (aged 16–25 years) completed measures of mental health and perceptions of climate change. Results indicated greater presentations of depression, anxiety, stress, adjustment disorder symptoms, substance abuse, …
Bodily cues of sex and emotion can interact symmetrically
Although much research has investigated how multiple sources of social information derived from faces are processed and integrated, few studies have extended this investigation to bodies. The current study addressed this gap by investigating the nature of the interaction between bodily cues of sex and emotion. Using the Garner paradigm, participants recruited from a university student participant pool categorized the sex or the emotional expressi…
An authentic learner-centered planetary health assignment
A Code Red has been declared for the planet and human health. Climate change (e.g., increasing temperatures, adverse weather events, rising sea levels) threatens the planet's already declining ecosystems. Without urgent action, all of Earth's inhabitants face an existential threat. Health professions education should therefore prepare learners to not only practice in a changing world, but authentic educational activities should also develop compe…
Featural vs. Holistic processing and visual sampling in the influence of social category cues on emotion recognition
Past research demonstrates that emotion recognition is influenced by social category cues present on faces. However, little research has investigated whether holistic processing is required to observe these influences of social category information on emotion perception, and no studies have investigated whether different visual sampling strategies (i.e. differences in the allocation of attention to different regions of the face) contribute to the…
Stable middle‐aged face recognition
The own‐age bias (OAB) has been proposed to be caused by perceptual expertise and/or social‐cognitive mechanisms. Investigations into the role of social cognition have, however, yielded mixed results. One reason for this might be the tendency for research to focus on the OAB in young adults, between young and older adult faces where other‐age individuation experience is low. To explore whether social‐cognitive manipulations may be successful when…
An own‐age bias in mixed‐ and pure‐list presentations
The own‐age bias (OAB) is suggested to be caused by perceptual‐expertise and/or social‐cognitive mechanisms. Bryce and Dodson (2013, Psychology and Aging , 28, 87, Exp 2) provided support for the social‐cognitive account, demonstrating an OAB for participants who encountered a mixed‐list of own‐ and other‐age faces, but not for participants who encountered a pure‐list of only own‐ or other‐age faces. They proposed that own‐age/other‐age categoriz…
Social categorization and individuation in the own-age bias
Young adults recognize other young adult faces more accurately than older adult faces, an effect termed the own-age bias (OAB). The categorization-individuation model (CIM) proposes that recognition memory biases like the OAB occur as unfamiliar faces are initially quickly categorized. In-group faces are seen as socially relevant which motivates the processing of individuating facial features. Outgroup faces are processed more superficially with …
For the Good Guys
Previous research has demonstrated that facial social category cues influence emotion perception such that happy expressions are categorized faster than negative expressions on faces belonging to positively evaluated social groups. We examined whether character information that is experimentally manipulated can also influence emotion perception. Across two experiments, participants learned to associate individuals posing neutral expressions with …
Emotional expressions reduce the own-age bias
We are better at recognizing faces of our own age group compared to faces of other age groups. It has been suggested that this own-age bias (OAB) might occur because of perceptual-expertise and/or social-cognitive mechanisms. Although there is evidence to suggest effects of perceptual-expertise, little research has explored the role of social-cognitive factors. To do so, we looked at how the presence of an emotional expression on the face changes…
You look pretty happy
A happy face advantage has consistently been shown in emotion categorization tasks; happy faces are categorized as happy faster than angry faces as angry. Furthermore, social category cues, such as facial sex and race, moderate the happy face advantage in evaluatively congruent ways with a larger happy face advantage for more positively evaluated faces. We investigated whether attractiveness, a facial attribute unrelated to more defined social ca…
The relationship between visual search and categorization of own- and other-age faces
Young adult participants are faster to detect young adult faces in crowds of infant and child faces than vice versa. These findings have been interpreted as evidence for more efficient attentional capture by own-age than other-age faces, but could alternatively reflect faster rejection of other-age than own-age distractors, consistent with the previously reported other-age categorization advantage: faster categorization of other-age than own-age …
The influence of multiple social categories on emotion perception
The influence of facial sex cues on emotional expression categorization is not fixed
The speed of recognizing facial expressions of emotion is influenced by a range of factors including other concurrently present facial attributes, like a person's sex. Typically, when participants categorize happy and angry expressions on male and female faces, they are faster to categorize happy than angry expressions displayed by females, but not displayed by males. Using the same emotional faces across tasks, we demonstrate that this influence…
A Happy Face Advantage With Male Caucasian Faces
Happy faces are categorized faster as “happy” than angry faces as “angry,” the happy face advantage. Here, we show across three experiments that the size of the happy face advantage for male Caucasian faces varies as a function of the other faces they are presented with. A happy face advantage was present if the male Caucasian faces were presented among male African American faces, but absent if the same faces were presented among female faces, C…
Different faces in the crowd
Recently, D.V. Becker, Anderson, Mortensen, Neufeld, and Neel (2011) proposed recommendations to avoid methodological confounds in visual search studies using emotional photographic faces. These confounds were argued to cause the frequently observed Anger Superiority Effect (ASE), the faster detection of angry than happy expressions, and conceal a true Happiness Superiority Effect (HSE). In Experiment 1, we applied these recommendations (for the …
Emotional expressions preferentially elicit implicit evaluations of faces also varying in race or age
Both facial cues of group membership (race, age, and sex) and emotional expressions can elicit implicit evaluations to guide subsequent social behavior. There is, however, little research addressing whether group membership cues or emotional expressions are more influential in the formation of implicit evaluations of faces when both cues are simultaneously present. The current study aimed to determine this. Emotional expressions but not race or a…
In search of the emotional face
Previous research has provided inconsistent results regarding visual search for emotional faces, yielding evidence for either anger superiority (i.e., more efficient search for angry faces) or happiness superiority effects (i.e., more efficient search for happy faces), suggesting that these results do not reflect on emotional expression, but on emotion (un-)related low-level perceptual features. The present study investigated possible factors med…
The effect of poser race on the happy categorization advantage depends on stimulus type, set size, and presentation duration
The question as to whether poser race affects the happy categorization advantage, the faster categorization of happy than of negative emotional expressions, has been answered inconsistently. Hugenberg (2005) found the happy categorization advantage only for own race faces whereas faster categorization of angry expressions was evident for other race faces. Kubota and Ito (2007) found a happy categorization advantage for both own race and other rac…
Social categorization and individuation in the own-age bias
Young adults recognize other young adult faces more accurately than older adult faces, an effect termed the own-age bias (OAB). The categorization-individuation model (CIM) proposes that recognition memory biases like the OAB occur as unfamiliar faces are initially quickly categorized. In-group faces are seen as socially relevant which motivates the processing of individuating facial features. Outgroup faces are processed more superficially with …
The influence of multiple social categories on emotion perception
The relationship between visual search and categorization of own- and other-age faces
Young adult participants are faster to detect young adult faces in crowds of infant and child faces than vice versa. These findings have been interpreted as evidence for more efficient attentional capture by own-age than other-age faces, but could alternatively reflect faster rejection of other-age than own-age distractors, consistent with the previously reported other-age categorization advantage: faster categorization of other-age than own-age …
The effect of poser race on the happy categorization advantage depends on stimulus type, set size, and presentation duration
The question as to whether poser race affects the happy categorization advantage, the faster categorization of happy than of negative emotional expressions, has been answered inconsistently. Hugenberg (2005) found the happy categorization advantage only for own race faces whereas faster categorization of angry expressions was evident for other race faces. Kubota and Ito (2007) found a happy categorization advantage for both own race and other rac…
In search of the emotional face
Previous research has provided inconsistent results regarding visual search for emotional faces, yielding evidence for either anger superiority (i.e., more efficient search for angry faces) or happiness superiority effects (i.e., more efficient search for happy faces), suggesting that these results do not reflect on emotional expression, but on emotion (un-)related low-level perceptual features. The present study investigated possible factors med…
Different faces in the crowd
Recently, D.V. Becker, Anderson, Mortensen, Neufeld, and Neel (2011) proposed recommendations to avoid methodological confounds in visual search studies using emotional photographic faces. These confounds were argued to cause the frequently observed Anger Superiority Effect (ASE), the faster detection of angry than happy expressions, and conceal a true Happiness Superiority Effect (HSE). In Experiment 1, we applied these recommendations (for the …
Emotional expressions preferentially elicit implicit evaluations of faces also varying in race or age
Both facial cues of group membership (race, age, and sex) and emotional expressions can elicit implicit evaluations to guide subsequent social behavior. There is, however, little research addressing whether group membership cues or emotional expressions are more influential in the formation of implicit evaluations of faces when both cues are simultaneously present. The current study aimed to determine this. Emotional expressions but not race or a…
A Happy Face Advantage With Male Caucasian Faces
Happy faces are categorized faster as “happy” than angry faces as “angry,” the happy face advantage. Here, we show across three experiments that the size of the happy face advantage for male Caucasian faces varies as a function of the other faces they are presented with. A happy face advantage was present if the male Caucasian faces were presented among male African American faces, but absent if the same faces were presented among female faces, C…
The influence of facial sex cues on emotional expression categorization is not fixed
The speed of recognizing facial expressions of emotion is influenced by a range of factors including other concurrently present facial attributes, like a person's sex. Typically, when participants categorize happy and angry expressions on male and female faces, they are faster to categorize happy than angry expressions displayed by females, but not displayed by males. Using the same emotional faces across tasks, we demonstrate that this influence…
The influence of multiple social categories on emotion perception
For the Good Guys
Previous research has demonstrated that facial social category cues influence emotion perception such that happy expressions are categorized faster than negative expressions on faces belonging to positively evaluated social groups. We examined whether character information that is experimentally manipulated can also influence emotion perception. Across two experiments, participants learned to associate individuals posing neutral expressions with …
Emotional expressions reduce the own-age bias
We are better at recognizing faces of our own age group compared to faces of other age groups. It has been suggested that this own-age bias (OAB) might occur because of perceptual-expertise and/or social-cognitive mechanisms. Although there is evidence to suggest effects of perceptual-expertise, little research has explored the role of social-cognitive factors. To do so, we looked at how the presence of an emotional expression on the face changes…
You look pretty happy
A happy face advantage has consistently been shown in emotion categorization tasks; happy faces are categorized as happy faster than angry faces as angry. Furthermore, social category cues, such as facial sex and race, moderate the happy face advantage in evaluatively congruent ways with a larger happy face advantage for more positively evaluated faces. We investigated whether attractiveness, a facial attribute unrelated to more defined social ca…
The relationship between visual search and categorization of own- and other-age faces
Young adult participants are faster to detect young adult faces in crowds of infant and child faces than vice versa. These findings have been interpreted as evidence for more efficient attentional capture by own-age than other-age faces, but could alternatively reflect faster rejection of other-age than own-age distractors, consistent with the previously reported other-age categorization advantage: faster categorization of other-age than own-age …
Social categorization and individuation in the own-age bias
Young adults recognize other young adult faces more accurately than older adult faces, an effect termed the own-age bias (OAB). The categorization-individuation model (CIM) proposes that recognition memory biases like the OAB occur as unfamiliar faces are initially quickly categorized. In-group faces are seen as socially relevant which motivates the processing of individuating facial features. Outgroup faces are processed more superficially with …
An own‐age bias in mixed‐ and pure‐list presentations
The own‐age bias (OAB) is suggested to be caused by perceptual‐expertise and/or social‐cognitive mechanisms. Bryce and Dodson (2013, Psychology and Aging , 28, 87, Exp 2) provided support for the social‐cognitive account, demonstrating an OAB for participants who encountered a mixed‐list of own‐ and other‐age faces, but not for participants who encountered a pure‐list of only own‐ or other‐age faces. They proposed that own‐age/other‐age categoriz…
Stable middle‐aged face recognition
The own‐age bias (OAB) has been proposed to be caused by perceptual expertise and/or social‐cognitive mechanisms. Investigations into the role of social cognition have, however, yielded mixed results. One reason for this might be the tendency for research to focus on the OAB in young adults, between young and older adult faces where other‐age individuation experience is low. To explore whether social‐cognitive manipulations may be successful when…
An authentic learner-centered planetary health assignment
A Code Red has been declared for the planet and human health. Climate change (e.g., increasing temperatures, adverse weather events, rising sea levels) threatens the planet's already declining ecosystems. Without urgent action, all of Earth's inhabitants face an existential threat. Health professions education should therefore prepare learners to not only practice in a changing world, but authentic educational activities should also develop compe…
Featural vs. Holistic processing and visual sampling in the influence of social category cues on emotion recognition
Past research demonstrates that emotion recognition is influenced by social category cues present on faces. However, little research has investigated whether holistic processing is required to observe these influences of social category information on emotion perception, and no studies have investigated whether different visual sampling strategies (i.e. differences in the allocation of attention to different regions of the face) contribute to the…
Australian Youth Mental Health and Climate Change Concern After the Black Summer Bushfires
Climate change and its effects present notable challenges for mental health, particularly for vulnerable populations, including young people. Immediately following the unprecedented Black Summer bushfire season of 2019/2020, 746 Australians (aged 16–25 years) completed measures of mental health and perceptions of climate change. Results indicated greater presentations of depression, anxiety, stress, adjustment disorder symptoms, substance abuse, …
Bodily cues of sex and emotion can interact symmetrically
Although much research has investigated how multiple sources of social information derived from faces are processed and integrated, few studies have extended this investigation to bodies. The current study addressed this gap by investigating the nature of the interaction between bodily cues of sex and emotion. Using the Garner paradigm, participants recruited from a university student participant pool categorized the sex or the emotional expressi…
Emotional scenes as context in emotional expression recognition
Emotion recognition is influenced by contextual information such as social category cues or background scenes. However, past studies yielded mixed findings regarding whether broad valence or specific emotion matches drive context effects and how multiple sources of contextual information may influence emotion recognition. To address these questions, participants were asked to categorize expressions on male and female faces posing happiness and an…
What people say, but not what they love or hate, affects speeded emotional expression recognition
Pleasant facial expressions, like happiness, are recognised faster than negative expressions such as anger or fear. The size of this happy face advantage depends on facial social category cues (larger for female, young or ethnic ingroup faces), facial attractiveness (larger for attractive faces), and person knowledge (larger for persons believed to be of good character). These findings are best explained by the evaluative congruence account, whic…
The positive facial expression advantage
Past research has shown that facial expressions of happiness are recognized faster than negative expressions such as anger. This happy face advantage is influenced by facial social category cues; it is larger for faces that are female, young, or represent an ethnic ingroup. The phenomenon of the happy face advantage as well as the influence of social cues on recognition of happy expressions is best explained by the evaluative congruence account. …
Psychology (19 works) · Face Recognition and Perception (18 works) · Cognitive psychology (16 works) · Social Psychology (16 works) · Evolutionary Psychology and Human Behavior (13 works) · Facial expression (13 works) · Communication (12 works) · Perception (11 works) · Categorization (10 works) · Communication (9 works)