Natalie C. Ebner

FACES - A database of facial expressions in young, middle-aged, and older women and men : Development and validation

Faces are widely used as stimuli in various research fields. Interest in emotion-related differences and age-associated changes in the processing of faces is growing. With the aim of systematically varying both expression and age of the face, we created FACES, a database comprising N=171 naturalistic faces of young, middle-aged, and older women and men. Each face is represented with two sets of six facial expressions (neutrality, sadness, disgust, fear, anger, and happiness), resulting in 2,052 individual images. A total of N=154 young, middleaged, and older women and men rated the faces in terms of facial expression and perceived age. With its large age range of faces displaying different expressions, FACES is well suited for investigating developmental and other research questions on emotion, motivation, and cognition, as well as their interactions. Information on using FACES for research purposes can be found at http://faces.mpib-berlin.mpg.de.

Developmental changes in personal goal orientation from young to late adulthood: from striving for gains to maintenance and prevention of losses.

Using a multimethod approach, the authors conducted 4 studies to test life span hypotheses about goal orientations across adulthood. Confirming expectations, in Studies 1 and 2 younger adults reported a primary growth orientation in their goals, whereas older adults reported a stronger orientation toward maintenance and loss prevention. Orientation toward prevention of loss correlated negatively with well-being in younger adults. In older adults, orientation toward maintenance was positively associated with well-being. Studies 3 and 4 extend findings of a self-reported shift in goal orientation to the level of behavioral choice involving cognitive and physical fitness goals. Studies 3 and 4 also examine the role of expected resource demands. The shift in goal orientation is discussed as an adaptive mechanism to manage changing opportunities and constraints across adulthood.

Age of face matters: age-group differences in ratings of young and old faces.

Young (n = 24) and old (n = 24) participants rated 160 faces of young and old individuals taken from the CAL/PAL Face Database (Minear & Park, 2004) with regard to attractiveness, likeability, distinctiveness, goal orientation, energy, mood, and age. Ratings are reported for each face separately. Further analyses showed that the age groups differed in their ratings of young and old faces. On average, old participants evaluated the faces as more positive (i.e., more attractive, more energetic) than did young participants. In line with research on a negative aging stereotype, old faces were judged as less positive than young faces. They were, for instance, seen as less attractive, less likeable, less distinctive, less growth-oriented, and less energetic. The findings of the present study can serve as a basis for the selection of appropriate facial stimuli in age-comparative studies of face perception, face processing, or memory for faces. All face-specific data are archived at www.psychonomic.org/archive.

Let Me Guess How Old You Are: Effects of Age, Gender, and Facial Expression on Perceptions of Age

Perceptions of age influence how we evaluate, approach, and interact with other people. Based on a paramorphic human judgment model, the present study investigates possible determinants of accuracy and bias in age estimation across the adult life span. For this purpose, 154 young, middle-aged, and older participants of both genders estimated the age of 171 faces of young, middle-aged, and older men and women, portrayed on a total of 2,052 photographs. Each face displayed either an angry, fearful, disgusted, happy, sad, or neutral expression (FACES database; Ebner, Riediger, & Lindenberger, 2010). We found that age estimation ability decreased with age. Older and young adults, however, were more accurate and less biased in estimating the age of members of their own as compared with those of the other age group. In contrast, no reliable own-gender advantage was observed. Generally, the age of older faces was more difficult to estimate than the age of younger faces. Furthermore, facial expressions had a substantial impact on accuracy and bias of age estimation. Relative to other facial expressions, the age of neutral faces was estimated most accurately, while the age of faces displaying happy expressions was most likely underestimated. Results are discussed in terms of methodological and practical implications for research on age estimation.

Age and emotion affect how we look at a face: Visual scan patterns differ for own-age versus other-age emotional faces

We investigated how age of faces and emotion expressed in faces affect young (n=30) and older (n=20) adults’ visual inspection while viewing faces and judging their expressions. Overall, expression identification was better for young than older faces, suggesting that interpreting expressions in young faces is easier than in older faces, even for older participants. Moreover, there were age-group differences in misattributions of expressions, in that young participants were more likely to label disgusted faces as angry, whereas older adults were more likely to label angry faces as disgusted. In addition to effects of emotion expressed in faces, age of faces affected visual inspection of faces: Both young and older participants spent more time looking at own-age than other-age faces, with longer looking at own-age faces predicting better own-age expression identification. Thus, cues used in expression identification may shift as a function of emotion and age of faces, in interaction with age of participants.

Neural Mechanisms of Reading Facial Emotions in Young and Older Adults

The ability to read and appropriately respond to emotions in others is central for successful social interaction. Young and older adults are better at identifying positive than negative facial expressions and also expressions of young than older faces. Little, however, is known about the neural processes associated with reading different emotions, particularly in faces of different ages, in samples of young and older adults. During fMRI, young and older participants identified expressions in happy, neutral, and angry young and older faces. The results suggest a functional dissociation of ventromedial prefrontal cortex (vmPFC) and dorsomedial prefrontal cortex (dmPFC) in reading facial emotions that is largely comparable in young and older adults: Both age groups showed greater vmPFC activity to happy compared to angry or neutral faces, which was positively correlated with expression identification for happy compared to angry faces. In contrast, both age groups showed greater activity in dmPFC to neutral or angry than happy faces which was negatively correlated with expression identification for neutral compared to happy faces. A similar region of dmPFC showed greater activity for older than young faces, but no brain-behavior correlations. Greater vmPFC activity in the present study may reflect greater affective processing involved in reading happy compared to neutral or angry faces. Greater dmPFC activity may reflect more cognitive control involved in decoding and/or regulating negative emotions associated with neutral or angry than happy, and older than young, faces.

Beyond “happy, angry, or sad?”: Age-of-poser and age-of-rater effects on multi-dimensional emotion perception

Young, middle-aged, and older raters (N=154) evaluated 1,026 prototypical facial poses of neutrality, happiness, anger, disgust, fear, and sadness stemming from 171 young, middle-aged, and older posers. The majority of poses were rated as multi-faceted, that is, to comprise several expressions of varying intensities. Consistent with the notion of age-related increases in negativity–avoidance/positivity effects, crossed-random effects analyses showed an age-related decrease in the attributions of negative, but not positive and neutral, target expressions (that the poser intended to show), and an age-related increase in the attributions of positive and neutral, but not negative, non-target expressions (that the posers did not intend to show). Expressions were more difficult to read the older the posers, particularly for male posers. These age-of-poser effects were independent of the valence of the expression, but partly differed across age groups of raters. The study supports the idea of multi-dimensionality and age-dependency of emotion perception.

Processing own-age vs. other-age faces: Neuro-behavioral correlates and effects of emotion

Age constitutes a salient feature of a face and signals group membership. There is evidence of greater attention to and better memory for own-age than other-age faces. However, little is known about the neural and behavioral mechanisms underlying processing differences for own-age vs. other-age faces. Even less is known about the impact of emotion expressed in faces on such own-age effects. Using fMRI, the present study examined brain activity while young and older adult participants identified expressions of neutral, happy, and angry young and older faces. Across facial expressions, medial prefrontal cortex, insula, and (for older participants) amygdala showed greater activity to own-age than other-age faces. These own-age effects in ventral medial prefrontal cortex and insula held for neutral and happy faces, but not for angry faces. This novel and intriguing finding suggests that processing of negative facial emotions under some conditions overrides age-of-face effects.

Attitudes toward younger and older adults: The German Aging Semantic Differential

The present study used the German Aging Semantic Differential (ASD) to assess attitudes toward younger and older adults in a heterogeneous sample of n = 151 younger and n = 143 older adults. The questionnaire was administered in two versions, one referring to the evaluation of younger adults, the other to the evaluation of older adults. Multiple-group confirmatory factor analysis replicated the four-factor solution reported in the literature. Younger compared to older adults were rated as higher in terms of instrumentality (i.e., more active, adaptive to change) and integrity (i.e., more personally satisfied, at peace with oneself), whereas older adults were described as more autonomous and self-sufficient than younger adults. Younger participants reported more negative attitudes toward younger and older adults in some of the factors than did older participants. Structural equation modeling furthermore showed that attitudes correlated with personality characteristics and positive and negative affect, in that more agreeable, extraverted, and positively tempered participants reported less negative attitudes toward younger and older adults. Results are discussed in the context of multidimensional assessment of age stereotypes.

Oxytocin and socioemotional aging: Current knowledge and future trends

The oxytocin (OT) system is involved in various aspects of social cognition and prosocial behavior. Specifically, OT has been examined in the context of social memory, emotion recognition, cooperation, trust, empathy, and bonding, and—though evidence is somewhat mixed-intranasal OT appears to benefit aspects of socioemotional functioning. However, most of the extant data on aging and OT is from animal research and human OT research has focused largely on young adults. As such, though we know that various socioemotional capacities change with age, we know little about whether age-related changes in the OT system may underlie age-related differences in socioemotional functioning. In this review, we take a genetic-neuro-behavioral approach and evaluate current evidence on age-related changes in the OT system as well as the putative effects of these alterations on age-related socioemotional functioning. Looking forward, we identify informational gaps and propose an Age-Related Genetic, Neurobiological, Sociobehavioral Model of Oxytocin (AGeNeS-OT model) which may structure and inform investigations into aging-related genetic, neural, and sociocognitive processes related to OT. As an exemplar of the use of the model, we report exploratory data suggesting differences in socioemotional processing associated with genetic variation in the oxytocin receptor gene (OXTR) in samples of young and older adults. Information gained from this arena has translational potential in depression, social stress, and anxiety-all of which have high relevance in aging—and may contribute to reducing social isolation and improving well-being of individuals across the lifespan.