Presentation and validation of the Radboud Faces Database

Langner, Oliver; Dotsch, Ron; Bijlstra, Gijsbert; Wigboldus, D.H.J.; Hawk, Skyler T.; Knippenberg, Ad van

doi:10.1080/02699930903485076

Cited by 2,116 publications

(1,794 citation statements)

References 25 publications

(26 reference statements)

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“…The prototypical expressions used to construct the morph continuum received similar intensity ratings in the validation study (both 4.27 / 5.00). The happy, neutral, and aggressive context expressions were awarded intensity ratings of 4.21, 2.55, and 4.00, respectively (Langner et al, 2010).…”

Section: Methodsmentioning

confidence: 99%

Social interaction contexts bias the perceived expressions of interactants.

Gray¹,

Barber²,

Murphy

et al. 2017

Emotion

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The present study sought to determine whether contextual information available when viewing social interactions from third-person perspectives, may influence observers' perception of the interactants' facial emotion. Observers judged whether the expression of a target face was happy or fearful, in the presence of a happy, aggressive or neutral interactant. In two experiments, the same target expressions were judged to be happier when presented in the context of a happy interactant, than when interacting with a neutral or aggressive partner. We failed to show that the target expression was judged as more fearful when interacting with an aggressive partner. Importantly, observers' perception of the target expression was not modulated by the emotion of the context interactant when the interactants were presented back-to-back, suggesting that the bias depends on the presence of an intact interaction arrangement. These results provide valuable insight into how social contextual effects shape our perception of facial emotion.

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Section: Methodsmentioning

confidence: 99%

Social interaction contexts bias the perceived expressions of interactants.

Gray¹,

Barber²,

Murphy

et al. 2017

Emotion

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show abstract

“…The distractor crowd was held constant for the two targets, so that the search speed through the distractor crowds did not vary across target types. The dynamic stimuli were natural faces selected from the Radboud Faces Database (Langner et al, 2010).…”

Section: Methodsmentioning

confidence: 99%

Posterror speeding after threat-detection failure.

Caudek¹,

Ceccarini²,

Sica³

2015

Journal of Experimental Psychology: Human Perception and Perfor

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Cognitive control enables individuals to rapidly adapt to changing task demands.To investigate error-driven adjustments in cognitive control, we considered performance changes in post-error trials, when participants performed a visual search task requiring to detect angry, happy, or neutral facial expressions in crowds of faces. We hypothesized that the failure to detect a potential threat (angry face) would prompt a different post-error adjustment than the failure to detect a nonthreatening target (happy or neutral face). Indeed, in three sets of experiments we found evidence of post-error speeding, in the first case, and of post-error slowing, in the second. Previous results indicate that a threatening stimulus can improve the efficiency of visual search. The results of the present study show that a similar effect can also be observed when participants fail to detect a threat.The impact of threat-detection failure on cognitive control, as revealed by the present study, suggests that post-error adjustments should be understood as the product of domain-specific mechanisms that are strongly influenced by affective information, rather than as the effect of a general-purpose error-monitoring system. 1

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“…EMOTIONAL APPEARANCE Materials. The suspects and fillers were drawn from the Radboud Faces Database (Langner, Dotsch, Bijlstra, Wigboldus, & van Knippenberg, 2010), which contains photos of adult males (n = 20) and females (n = 19), aged 21 years on average. The database has a photograph of each person displaying different emotional expressions using the Facial Action Coding System (FACS) (Ekman & Friesen, 1976).…”

Section: Studymentioning

confidence: 99%

“…We composed lineups with faces from this database because the emotion displays have been validated. For example, 85% and 96% of participants in the validation study chose the target emotion for angry and happy displays, respectively (Langner et al, 2010). Additionally, the technical elements of the photographs (e.g., lighting, focal distance), clothing, and age are held constant across the set of photos, and the individuals do not have distinctive features (e.g., scars, tattoos, earrings).…”

Section: Studymentioning

confidence: 99%

Selecting fillers on emotional appearance improves lineup identification accuracy.

Flowe

Klatt

Colloff

2014

Law and Human Behavior

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Mock witnesses sometimes report using criminal stereotypes to identify a face from a lineup, a tendency known as criminal face bias. Faces are perceived as criminal-looking if they appear angry. We tested whether matching the emotional appearance of the fillers to an angry suspect can reduce criminal face bias. In Study 1, mock witnesses (n = 226) viewed lineups in which the suspect had an angry, happy, or neutral expression, and we varied whether the fillers matched the expression. An additional group of participants (n = 59) rated the faces on criminal and emotional appearance. As predicted, mock witnesses tended to identify suspects who appeared angrier and more criminal-looking than the fillers. This tendency was reduced when the lineup fillers matched the emotional appearance of the suspect. Study 2 extended the results, testing whether the emotional appearance of the suspect and fillers affects recognition memory. Participants (n = 1,983) studied faces and took a lineup test in which the emotional appearance of the target and fillers was varied between subjects. Discrimination accuracy was enhanced when the fillers matched an angry target’s emotional appearance. We conclude that lineup member emotional appearance plays a critical role in the psychology of lineup identification. The fillers should match an angry suspect’s emotional appearance to improve lineup identification accuracy.

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Presentation and validation of the Radboud Faces Database

Abstract: Lew-Williams, C., & Fernald, A. (2007). Young children learning Spanish make rapid use of grammatical gender in spoken word recognition.

Cited by 2,116 publications

References 25 publications

Social interaction contexts bias the perceived expressions of interactants.

Social interaction contexts bias the perceived expressions of interactants.

Posterror speeding after threat-detection failure.

Selecting fillers on emotional appearance improves lineup identification accuracy.

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