Homonymous hemianopia (HH) is a frequent deficit resulting from lesions to post-chiasmal brain structures with a significant negative impact on activities of daily living. To address the question how patients with HH may compensate their visual field defect in a naturalistic environment, we performed a driving simulation experiment and quantitatively analyzed both eye and head movements using a head-mounted pupil camera. 14 patients with HH and 14 matched healthy control subjects participated in the study. Based on the detection performance of dynamically moving obstacles, which appeared unexpectedly along the sides of the road track, we divided the patient group into a high- and a low-performance group. Then, we compared parameters of eye and head movements between the two patient groups and the matched healthy control group to identify those which mediate successful detection of potentially hazardous objects. Differences in detection rates could not be explained by demographic variables or the extent of the visual field defect. Instead, high performance of patients with HH in the naturalistic setting of our driving simulation depended on an adapted visual exploratory behavior characterized by a relative increase in the amplitude and a corresponding increase in the peak velocity of saccades, widening horizontally the distribution of eye movements, and by a shift of the overall distribution of saccades into the blind hemifield. The result of the group comparison analyses was confirmed by a subsequent stepwise regression analysis which identified the horizontal spread of eye movements as single factor predicting the detection of hazardous objects.

Patients suffering from homonymous hemianopia after infarction of the posterior cerebral artery (PCA) report different degrees of constraint in daily life, despite similar visual deficits. We assume this could be due to variable development of compensatory strategies such as altered visual scanning behavior. Scanning compensatory therapy (SCT) is studied as part of the visual training after infarction next to vision restoration therapy. SCT consists of learning to make larger eye movements into the blind field enlarging the visual field of search, which has been proven to be the most useful strategy 1 , not only in natural search tasks but also in mastering daily life activities 2 . Nevertheless, in clinical routine it is difficult to identify individual levels and training effects of compensatory behavior, since it requires measurement of eye movements in a head unrestrained condition. Studies demonstrated that unrestrained head movements alter the visual exploratory behavior compared to a headrestrained laboratory condition 3 . Martin et al. 4 and Hayhoe et al. 5 showed that behavior demonstrated in a laboratory setting cannot be assigned easily to a natural condition. Hence, our goal was to develop a study set-up which uncovers different compensatory oculomotor strategies quickly in a realistic testing situation: Patients are tested in the clinical environment in a driving simulator. SILAB software (Wuerzburg Institute for Traffic Sciences GmbH (WIVW)) was used to program driving scenarios of varying complexity and recording the driver's performance. The software was combined with a head mounted infrared video pupil tracker, recording head-and eye-movements (EyeSeeCam, University of Munich Hospital, Clinical Neurosciences).The positioning of the patient in the driving simulator and the positioning, adjustment and calibration of the camera is demonstrated. Typical performances of a patient with and without compensatory strategy and a healthy control are illustrated in this pilot study. Different oculomotor behaviors (frequency and amplitude of eye-and head-movements) are evaluated very quickly during the drive itself by dynamic overlay pictures indicating where the subjects gaze is located on the screen, and by analyzing the data. Compensatory gaze behavior in a patient leads to a driving performance comparable to a healthy control, while the performance of a patient without compensatory behavior is significantly worse. The data of eye-and head-movement-behavior as well as driving performance are discussed with respect to different oculomotor strategies and in a broader context with respect to possible training effects throughout the testing session and implications on rehabilitation potential.

Is there a way to visually depict the image people “see” of themselves in their minds’ eyes? And if so, what can these mental images tell us about ourselves? We used a computational reverse-correlation technique to explore individuals’ mental “self-portraits” of their faces and body shapes in an unbiased, data-driven way (total N = 116 adults). Self-portraits were similar to individuals’ real faces but, importantly, also contained clues to each person’s self-reported personality traits, which were reliably detected by external observers. Furthermore, people with higher social self-esteem produced more true-to-life self-portraits. Unlike face portraits, body portraits had negligible relationships with individuals’ actual body shape, but as with faces, they were influenced by people’s beliefs and emotions. We show how psychological beliefs and attitudes about oneself bias the perceptual representation of one’s appearance and provide a unique window into the internal mental self-representation—findings that have important implications for mental health and visual culture.

Diverse cognitive functions decline with increasing age, including the ability to process central and peripheral visual information in a laboratory testing situation (useful visual field of view). To investigate whether and how this influences activities of daily life, we studied age-related changes in visual exploratory behavior in a natural scene setting: a driving simulator paradigm of variable complexity was tested in subjects of varying ages with simultaneous eye- and head-movement recordings via a head-mounted camera. Detection and reaction times were also measured by visual fixation and manual reaction. We considered video computer game experience as a possible influence on performance. Data of 73 participants of varying ages were analyzed, driving two different courses. We analyzed the influence of route difficulty level, age, and eccentricity of test stimuli on oculomotor and driving behavior parameters. No significant age effects were found regarding saccadic parameters. In the older subjects head-movements increasingly contributed to gaze amplitude. More demanding courses and more peripheral stimuli locations induced longer reaction times in all age groups. Deterioration of the functionally useful visual field of view with increasing age was not suggested in our study group. However, video game-experienced subjects revealed larger saccade amplitudes and a broader distribution of fixations on the screen. They reacted faster to peripheral objects suggesting the notion of a general detection task rather than perceiving driving as a central task. As the video game-experienced population consisted of younger subjects, our study indicates that effects due to video game experience can easily be misinterpreted as age effects if not accounted for. We therefore view it as essential to consider video game experience in all testing methods using virtual media.

Photojournalistic images shape our understanding of sociopolitical events. How humans are depicted in images may have far-reaching consequences for our attitudes towards them. Social psychology has shown how the visualization of an ‘identifiable victim effect’ can elicit empathic responses. However, images of identifiable victims in the media are the exception rather than the norm. In the context of the Syrian refugee crisis, the majority of images in Western media depicted refugees as large unidentifiable groups. While the effects of the visual depiction of single individuals are well-known, the ways in which the visual framing of large groups operates, and its social and political consequences, remain unknown. We here focus on the visual depiction of refugees to understand how exposure to the dominant visual framing used in the media, depicting them in large groups of faceless individuals, affects their dehumanization and sets off political consequences. To that end we brought together insights from social psychology, social sciences and the humanities to test a range of hypotheses using methods from social and political psychology in 10 studies with the participation of 3951 European citizens. Seeing images of large groups resulted in greater implicit dehumanization compared with images depicting refugees in small groups. Images of large groups are also explicitly rated as more dehumanizing, and when coupled with meta-data such as newspaper headlines, images continue to play a significant and independent role on how (de)humanizing we perceive such news coverage to be. Moreover, after viewing images of large groups, participants showed increased preference for more dominant and less trustworthy-looking political leaders and supported fewer pro-refugee policies and more anti-refugee policies. In terms of a mechanistic understanding of these effects, the extent to which participants felt pity for refugees depicted in large groups as opposed to small groups mediated the effect of visual framing on the choice of a more authoritarian-looking leader. What we see in the media and how it is shown not only has consequences for the ways in which we relate to other human beings and our behaviour towards them but, ultimately, for the functioning of our political systems.

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Photojournalistic images shape our understanding of sociopolitical events. The ways in which humans are depicted in images may have far-reaching consequences for our attitudes towards them, their well-being and our sociopolitical systems. Here, across ten studies (N-total of EU citizens = 3,936), we focus on the refugee crisis to understand how exposure to the dominant visual framing, depicting refugees in large groups, affects their dehumanization and sets off political consequences. Exposure to images of large groups of refugees resulted in greater implicit dehumanization compared with exposure to images depicting small groups. This visual framing was also explicitly evaluated as being more dehumanizing independently from textual information. Moreover, after viewing images of large groups of refugees, participants showed increased preference for a more dominant and less trustworthy political leader and expressed reduced support for pro-refugee policies, highlighting the political consequences of such visual exposure. Notably, the extent to which participants felt pity for refugees depicted in large as opposed to small groups mediated the effect of visual framing on the choice of a more authoritarian leader. Taken together our findings show that what we see in the media and how it is shown not only has consequences for the ways in which we relate to other human beings and our behaviour towards them but, ultimately, for our political systems.

Updating one’s beliefs about the causes and effects of climate change is crucial for altering attitudes and behaviours. Importantly, metacognitive abilities - insight into the (in)correctness of one’s beliefs- play a key role in the formation of polarized beliefs. We investigated the role of domain-general and domain-specific metacognition in updating prior beliefs about climate change across the spectrum of climate change scepticism. We also considered the role of how climate science is communicated in the form of textual or visuo-textual presentations. We show that climate change scepticism is associated with differences in domain-general as well as domain-specific metacognitive abilities. Moreover, domain-general metacognitive sensitivity influenced belief updating in an asymmetric way : lower domain-general metacognition decreased the updating of prior beliefs, especially in the face of negative evidence. Our findings highlight the role of metacognitive failures in revising erroneous beliefs about climate change and point to their adverse social effects.