Conscious Vision for Action Versus Unconscious Vision for Action?

David Milner and Melvyn Goodale’s dissociation hypothesis is commonly taken to state that there are two functionally specialized cortical streams of visual processing originating in striate (V1) cortex: a dorsal, action‐related “unconscious” stream and a ventral, perception‐related “conscious” stream. As Milner and Goodale acknowledge, findings from blindsight studies suggest a more sophisticated picture that replaces the distinction between unconscious vision for action and conscious vision for perception with a tripartite division between unconscious vision for action, conscious vision for perception, and unconscious vision for perception. The combination excluded by the tripartite division is the possibility of conscious vision for action. But are there good grounds for concluding that there is no conscious vision for action? There is now overwhelming evidence that illusions and perceived size can have a significant effect on action ( Bruno & Franz, 2009 ; Dassonville & Bala, 2004 ; Franz & Gegenfurtner, 2008 ; McIntosh & Lashley, 2008 ). There is also suggestive evidence that any sophisticated visual behavior requires collaboration between the two visual streams at every stage of the process ( Schenk & McIntosh, 2010 ). I nonetheless want to make a case for the tripartite division between unconscious vision for action, conscious vision for perception, and unconscious vision for perception. My aim here is not to refute the evidence showing that conscious vision can affect action but rather to argue (a) that we cannot gain cognitive access to action‐guiding dorsal stream representations, and (b) that these representations do not correlate with phenomenal consciousness. This vindicates the semi‐conservative view that the dissociation hypothesis is best understood as a tripartite division.     

Adaptation to novel accents: feature-based learning of context-sensitive phonological regularities

This paper examines whether adults can adapt to novel accents of their native language that contain unfamiliar context-dependent phonological alternations. In two experiments, French participants listen to short stories read in accented speech. Their knowledge of the accents is then tested in a forced-choice identification task. In Experiment 1, two groups of listeners are exposed to newly created French accents in which certain vowels harmonize or disharmonize, respectively, to the rounding of the preceding vowel. Despite the cross-linguistic predominance of vowel harmony over disharmony, the two groups adapt equally well to both accents, suggesting that this typological difference is not reflected in perceptual learning. Experiment 2 further explores the mechanism underlying this type of phonological learning. Participants are exposed to an accent in which some vowels harmonize and others disharmonize, yielding an increased featural complexity. They adapt less well to this regularity, showing that adaptation to novel accents involves feature-based inferences.     

Excessive confidence in visually-based estimates

People exhibit excessive confidence in visually-based estimates, which in turn biases decision making. Three experiments support this assertion. Experiment 1 shows a strong impact of presentation format on estimation of proportions. Experiment 2 shows that people rely on these erroneous estimates to make incentive-compatible decisions even when objective information can be easily obtained. Experiment 3 demonstrates that the biased decisions disappear when confidence in visually-based estimates is called into question by the perceived complexity of the stimulus.     

Predicting domain‐specific risk taking with the HEXACO personality structure

Although risk taking traditionally has been viewed as a unitary, stable individual difference variable, emerging evidence in behavioral decision‐making research suggests that risk taking is a domain‐specific construct. Utilizing a psychological risk‐return framework that regresses risk taking on the perceived benefits and perceived riskiness of an activity (Weber & Milliman, 1997 ), this study examined the relations between risk attitude and broad personality dimensions using the new HEXACO personality framework (Lee & Ashton, 2004 ) across four risk domains. This personality framework, which has been replicated in lexical studies in over 12 natural languages, assess personality over six broad personality dimensions, as opposed to the traditional Five‐Factor Model, or “Big Five.” Through path analysis, we regressed risk taking in four separate domains on risk perceptions, perceived benefits, and the six HEXACO dimensions. Across all risk domains, we found that the emotionality dimension was associated with heightened risk perceptions and high conscientiousness was associated with less perceived benefits. We also report several unique patterns of domain‐specific relations between the HEXACO dimensions and risk attitude. Specifically, openness was associated with risk taking and perceived benefits for social and recreational risks, whereas lower honesty/humility was associated with greater health/safety and ethical risk taking. These findings extend our understanding of how individuals approach risk across a variety of contexts, and further highlight the utility of honesty/humility, a dimension not recovered in Big Five models, in individual differences research. Copyright © 2010 John Wiley & Sons, Ltd.     

Knowing your face: A componential analysis of self-perceived facial attractiveness

Facial attractiveness (FA) is a highly agreed upon and socially important characteristic, but contemporary research has not fully investigated individuals’ enhancement of their FA. We used the social relations model (SRM) to analyze data from 187 participants. In face-to-face groups of four, participants rated their own and others’ FA. We assessed the degree of FA enhancement using unconfounded measures of both self-insight and social comparison. Results indicated African Americans and men enhanced more than Caucasians and women. Race effects were mediated by psychological adjustment, while gender effects were related to meta-perceptions. Men tended to view themselves through a “frog prince” lens, such that they accurately predicted others’ lesser views of them but persisted in overly positive self-perceptions of FA. Findings suggest further consideration of SRM measures, meta-perceptions, and a focus on sample diversity in the study of self-enhancement.     

Intrapersonal variability in interpersonal perception in romantic relationships: Biases and accuracy

We examined whether intrapersonal variability in the perception of partner’s behavior, perception spin, was related to partner’s intrapersonal variability in behavior, behavioral spin, and was associated with biases in the perception of negative affect. Ninety-three cohabiting couples reported their perceptions of partner’s affect and partner’s communal and agentic behavior in interactions with each other for 20 days. Perception spin was calculated as the within-person standard deviation of perception scores across interactions. Spin in the perception of the partner was associated with the partner’s behavioral spin. Participants with higher perception spin overestimated their partner’s negative affect and more strongly assumed that their partner’s affect was similar to their own negative affect. Thus, perception spin is an individual difference variable that reflects in part the extent of variability in the partner’s behavior, but higher spin also indicates distortions in perceptions of others.     

Perceived Conflict and Leader Dominance: Individual and Contextual Factors Behind Preferences for Dominant Leaders

Recent research finds that political candidates and leaders with dominant, masculine physical features are more preferred under conditions of conflict than of cooperation. Importantly, however, methodological limitations of past research have hindered the identification of whether this effect reflects that voters intuitively view (1) dominant leaders as more competent in solving problems of conflict, (2) nondominant leaders as more competent in solving problems of cooperation, or (3) both. In this article, we utilize recent advances in evolutionary psychology to form precise predictions on the nature of the underlying psychology and employ an unprecedented array of data types—including highly controlled experiments, natural experiments, and behavioral measures—to investigate the validity of these predictions. Using large approximately nationally representative surveys of 2,009 Poles and Ukrainians fielded during the Crimea crisis in 2014, we find that preferences for leader dominance are exclusively driven by the intuition that dominant leaders are better able to facilitate aggressive responses during social conflict and that these preferences are regulated by contextual conditions and individual predispositions related to such responses.     

The effects of emotion priming on visual search in socially anxious adults

This study examined the effects of emotion priming on visual search in participants characterised for different levels of social anxiety. Participants were primed with five facial emotions (angry, fear, happy, neutral, and surprised) and one scrambled face immediately prior to visual search trials involving finding a slanted coloured line amongst distractors, as reaction times and accuracy to target detection were recorded. Results suggest that for individuals low in social anxiety, being primed with an angry, surprised, or fearful face facilitated visual search compared to being primed with scrambled, neutral or happy faces. However, these same emotions degraded visual search in participants with high levels of social anxiety. This study expands on previous research on the impact of emotion on attention, finding that amongst socially anxious individuals, the effects of priming with threat extend beyond initial attention capture or disengagement, degrading later visual search.     

Information‐Theoretic Measures Predict the Human Judgment of Rhythm Complexity

To formalize the human judgment of rhythm complexity, we used five measures from information theory and algorithmic complexity to measure the complexity of 48 artificially generated rhythmic sequences. We compared these measurements to human prediction accuracy and easiness judgments obtained from a listening experiment, in which 32 participants guessed the last beat of each sequence. We also investigated the modulating effects of musical expertise and general pattern identification ability. Entropy rate and Kolmogorov complexity were correlated with prediction accuracy, and highly correlated with easiness judgments. A logistic regression showed main effects of musical training, entropy rate, and Kolmogorov complexity, and an interaction between musical training and both entropy rate and Kolmogorov complexity. These results indicate that information‐theoretic concepts capture some salient features of the human judgment of rhythm complexity, and they confirm the influence of musical expertise on complexity judgments.