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Flexion and extension arm actions have been studied with regard to whether and in what way(s) they are associated with attitudes. In this paper, I report the results of three experiments in which I investigated the valence of the attitude objects, the meaningfulness of the attitude objects, and the repetition of the arm action as factors that might influence the relation between flexion and extension arm actions and attitudes. In Experiment 1, I tested the influence of flexion and extension on attitude formation with novel, meaningless, but valenced, stimuli (Chinese characters). I predicted an Action x Stimulus Valence interaction such that both arm flexion and arm extension would result in higher pleasantness ratings of Chinese characters, when they were paired with positive and negative stimuli, respectively. Rather than the hypothesized interaction, I observed only a main effect for Stimulus Valence: positive characters were rated as more pleasant than were negative characters. In Experiment 2, I tested the influence of flexion and extension on attitude change with familiar, meaningful, valenced stimuli (foods). I predicted a main effect for Action, such that arm flexion would result in higher pleasantness ratings than would arm extension, regardless of Stimulus Valence, I also predicted a main effect of Stimulus Valence, such that positive foods would be rated as more pleasant than negative foods. Again, I observed only a main effect for Stimulus Valence in the predicted direction. In Experiment 3, I examined the influence of arm actions on attitudes over time using novel, meaningful, valenced stimuli (faces). I predicted that attitudes, as measured by an IAT, would be less biased for participants who repeatedly practiced responding to negative stimuli with a flexing action, compared to those of participants who repeatedly practiced responding to negative stimuli with an extending action. This prediction was weakly supported. / Psychology

A robust associative self network automatically biases attention, memory, and impression formation in a heuristic-like way. This thesis examines whether this self-heuristic underlies association formation of novel person and object representations to the self network and how this structure influences perceptions. This was tested across three experiments. The first employed an implicit task to assess whether self-similar individuals were represented with greater association strength to self-concept than self-dissimilar individuals. The second used an implicit task to measure whether newly-owned, previously-owned, and unowned objects exhibited different association strength with self-concept. The third determined the impact of minimal self-similarity to another individual, presented either before or after encoding, on memory for encoded information about them. Results of these experiments support three conclusions summarizing how a self-heuristic affects perceptions of novel stimuli. First, self-relevance automatically biases cognitive representation of novel self-similar (versus self-dissimilar) people and owned (versus unowned) objects, evidenced by stronger implicit association strength between these stimuli and self-concept. Next, this representation biases memory accuracy and errors in favour of heuristic-consistent information, even in contexts of minimal self-similarity. Finally, representation of self-similar people and owned objects relative to the self network biases perception through first-order effects, whereby unrelated concepts sharing an association to the self-network can influence one-another. Owned objects were automatically more favourably evaluated due to a first-order association with self-positivity. Perception of well-established self-knowledge was malleable based on response pairing with first-order associated self-similar or self-dissimilar individuals. Finally, when memory retrieval for self-similar and self-dissimilar individuals failed, responses were predicted based on first-order associated personality traits. These conclusions provide novel support for the existence of an automatic and ubiquitous self-heuristic that biases representation formation and subsequent perception of novel people and objects. / Thesis / Doctor of Philosophy (PhD) / A highly accessible network of self-representation biases attention and memory in favour of self-relevant information. I investigated how this network mediates representation of novel people and novel objects, stimulus categories that have received little attention in the social cognitive literature. An implicit test of cognitive association strength (i.e. the Implicit Association Test) revealed that novel self-similar (versus self-dissimilar) people and owned (versus unowned) objects are immediately associated to the self network. The new representations led to perceptual biases through first-order associations, whereby strictly self-relevant information was generalized to self-similar people and owned objects. For instance, even minimal self-similarity to a novel individual biased memory retrieval and reconstruction so that the retrieved information was consistent with the expectation of self-similarity. Together, the findings highlight the ubiquity and automaticity with which self-associations mediate cognitive representations and consequent perceptions of novel people and objects in realistic social situations.

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Yes / Posed facial expressions of actors have often been used as stimuli to induce mental state inferences, in order to investigate 'Theory of Mind' processes. However, such stimuli make it difficult to determine whether perceivers are using a basic or more elaborated mentalizing strategy. The current study used as stimuli covert recordings of target individuals who viewed various emotional expressions, which caused them to spontaneously mimic these expressions. Perceivers subsequently judged these subtle emotional expressions of the targets: in one condition ('classification') participants were instructed to classify the target's expression (i.e. match it to a sample) and in another condition ('retrodicting') participants were instructed to retrodict (i.e. infer which emotional expression the target was viewing). When instructed to classify, participants showed more prevalent activations in event-related brain potentials (ERPs) at earlier and mid-latency ERP components N170, P200 and P300-600. By contrast, when instructed to retrodict participants showed enhanced late frontal and fronto-temporal ERPs (N800-1000), with more sustained activity over the right than the left hemisphere. These findings reveal different cortical processes involved when retrodicting about a facial expression compared to merely classifying it, despite comparable performance on the behavioral task. / Experimental Psychology Society (EPS) Study Visit Grant; Young Researcher Support Grant DRM/2014-02; Deutsche Forschungsgemeinschaft (SCHN 1481/2-1); Deutsche Forschungsgemeinschaft (FOR 1097)