Letizia Palumbo

Do observers like curvature or do they dislike angularity

Humans have a preference for curved over angular shapes, an effect noted by artists as well as scientists. It may be that people like smooth curves or that people dislike angles, or both. We investigated this phenomenon in four experiments. Using abstract shapes differing in type of contour (angular vs. curved) and complexity, Experiment 1 confirmed a preference for curvature not linked to perceived complexity. Experiment 2 tested whether the effect was modulated by distance. If angular shapes are associated with a threat, the effect may be stronger when they are presented within peripersonal space. This hypothesis was not supported. Experiment 3 tested whether preference for curves occurs when curved lines are compared to straight lines without angles. Sets of coloured lines (angular vs. curved vs. straight) were seen through a circular or square aperture. Curved lines were liked more than either angular or straight lines. Therefore, angles are not necessary to generate a preference for curved shapes. Finally, Experiment 4 used an implicit measure of preference, the manikin task, to measure approach/avoidance behaviour. Results did not confirm a pattern of avoidance for angularity but only a pattern of approach for curvature. Our experiments suggest that the threat association hypothesis cannot fully explain the curvature effect and that curved shapes are, per se, visually pleasant.

Examining visual complexity and its influence on perceived duration

We investigated whether visual complexity of novel abstract patterns affects perceived duration. Previous research has reported that complex visual stimuli led to an underestimation of durations. However, to clarify the nature of the time estimation process, it is necessary to establish which component of image complexity, spatial or semantic, plays the critical role. Here we tested the impact of specific spatial properties. We used unfamiliar and abstract patterns made using black-and-white checkerboards in which the difference between stimuli was exclusively in configuration. Visual complexity was quantified by the GIF index based on a compression algorithm, which scanned the pattern in both horizontal and vertical directions. This metric correlated positively with subjective complexity (Experiment 1A). In the second study, we increased variability in the stimuli by changing the number of items across patterns while keeping overall size constant. A high positive correlation was found between objective and subjective complexity (r = 0.95) (Experiment 2A). In Experiments 1B and 2B, observers estimated pattern durations in seconds using a continuous scale. A multilevel linear analysis found that perceived duration was not predicted by visual complexity for either of the two sets of stimuli. These results provide new constraints to theories of time perception, hypothesizing that complexity leads to an underestimation of duration when it reduces attention to time.

An Electrophysiological Index of Perceptual Goodness

A traditional line of work starting with the Gestalt school has shown that patterns vary in strength and salience; a difference in “Perceptual goodness.” The Holographic weight of evidence model quantifies goodness of visual regularities. The key formula states that W = E/N, where E is number of holographic identities in a pattern and N is number of elements. We tested whether W predicts the amplitude of the neural response to regularity in an extrastriate symmetry-sensitive network. We recorded an Event Related Potential (ERP) generated by symmetry called the Sustained Posterior Negativity (SPN). First, we reanalyzed the published work and found that W explained most variance in SPN amplitude. Then in four new studies, we confirmed specific predictions of the holographic model regarding 1) the differential effects of numerosity on reflection and repetition, 2) the similarity between reflection and Glass patterns, 3) multiple symmetries, and 4) symmetry and anti-symmetry. In all cases, the holographic approach predicted SPN amplitude remarkably well; particularly in an early window around 300–400 ms post stimulus onset. Although the holographic model was not conceived as a model of neural processing, it captures many details of the brain response to symmetry.

Comparing Angular and Curved Shapes in Terms of Implicit Associations and Approach/Avoidance Responses.

Most people prefer smoothly curved shapes over more angular shapes. We investigated the origin of this effect using abstract shapes and implicit measures of semantic association and preference. In Experiment 1 we used a multidimensional Implicit Association Test (IAT) to verify the strength of the association of curved and angular polygons with danger (safe vs. danger words), valence (positive vs. negative words) and gender (female vs. male names). Results showed that curved polygons were associated with safe and positive concepts and with female names, whereas angular polygons were associated with danger and negative concepts and with male names. Experiment 2 used a different implicit measure, which avoided any need to categorise the stimuli. Using a revised version of the Stimulus Response Compatibility (SRC) task we tested with a stick figure (i.e., the manikin) approach and avoidance reactions to curved and angular polygons. We found that RTs for approaching vs. avoiding angular polygons did not differ, even in the condition where the angles were more pronounced. By contrast participants were faster and more accurate when moving the manikin towards curved shapes. Experiment 2 suggests that preference for curvature cannot derive entirely from an association of angles with threat. We conclude that smoothly curved contours make these abstract shapes more pleasant. Further studies are needed to clarify the nature of such a preference.

Neural correlate of the projection of mental states on the not-structured visual stimuli

Projection is a spontaneous and complex mental activity responsible for the subjective meaning attribution. The hypotheses of this study were that the neural correlate of projection may involve frontal, parietal, and temporal brain areas, and that alexithymia may be negatively associated with intensities in limbic and paralimbic areas during projection. EEG data were recorded continuously at 250 Hz using NetStation 4.5.1 with 256-channels HydroCel Geodesic Sensor Net in 20 healthy subjects during the presentation of structured and not-structured visual stimuli. The tasks were paying attention to the stimuli and thinking about the possible meaning of each image. Event related potential (ERP) components and low-resolution electromagnetic tomography (sLoreta) were analyzed. Participants were administered the 20-Item Toronto Alexithymia Scale before stimulus presentation. Source analyses (sLORETA) showed a greater activated source in the left primary somatosensory cortex (BA1) compared to all the others BA in both conditions through all the ERP components. An involvement of the frontal (right-BA4, left- and right-BA9, left-BA11) and parietal (left and right-BA2 and left-BA7) areas was found in projective response to not-structured visual stimuli. Alexithymia levels were negatively correlated with the anterior (right-BA32) and posterior (left-BA29) cingulate cortex. Findings show the relevance of fronto-parieto circuits during projection, where the internally generating somatosensory representations could drive an intermodal meaning attribution during the task. Moreover, high alexithymia levels were associated with a reduced activation of the cingulated cortex.

Curve Appeal: Exploring Individual Differences in Preference for Curved Versus Angular Objects

A preference for smooth curvature, as opposed to angularity, is a well-established finding for lines, two-dimensional shapes, and complex objects, but little is known about individual differences. We used two-dimensional black-and-white shapes—randomly generated irregular polygons, and arrays of circles and hexagons—and measured many individual differences, including artistic expertise, personality, and cognitive style. As expected, people preferred curved over angular stimuli, and people’s degree of curvature preference correlated across the two sets of shapes. Multilevel models showed varying patterns of interaction between shape and individual differences. For the irregular polygons, people higher in artistic expertise or openness to experience showed a greater preference for curvature. This pattern was not evident for the arrays of circles and hexagons. We discuss the results in relation to the nature of the stimuli, and we conclude that individual differences do play a role in moderating the preference for smooth curvature.

The Curvature Effect: A Comparison Between Preference Tasks

Empirical work on visual aesthetics has found a strong preference for smooth curvature. The use of different tasks and exposures can clarify whether such a preference reflects immediate visual responses or higher cognitive processes, such as semantic associations. In three experiments, we used abstract irregular shapes and manipulated the contour (polygons vs. smoothed versions of polygons) but matched the stimuli for number of protrusions (vertices or curvature extrema) and number of concavities. In Experiment 1, shapes were presented for 120 ms, and observers produced a two-alternative forced-choice response (like or dislike). In Experiments 2 and 3, we used rating scales measuring liking and attractiveness, respectively, and the stimuli were presented until a response was made. Overall, smooth curved contours were preferred over angular contours, especially with immediate responses (Experiment 1). Moreover, shapes were preferred when they contained a balance between number of vertices and concavities (i.e., a lower proportion of concavities for a large number of vertices). However, a preference for shapes with the highest number of vertices and the least number of concavities occurred in the two-alternative forced-choice task (Experiment 1). In contrast, the reverse combination (i.e., star-like shapes) emerged with rating scales (Experiments 2 and 3). We conclude that the curvature effect is stable across tasks, although it is modulated subtly by some parametric variations (vertices and concavities) related to visual complexity.

Brain Activity in Response to Visual Symmetry.

Research on the neural basis of symmetry perception is making rapid progress. ERP studies reliably show a sustained posterior negativity (SPN), with lower amplitude for symmetrical than random patterns at occipital electrodes, beginning around 250 ms after stimulus onset. Functional MRI shows activity in extrastriate visual areas and in the lateral occipital complex (LOC). We summarise and integrate the evidence by answering six questions. (1) Is there an automatic and sustained response to symmetry in visual areas? Yes, and because this is broadly unaffected by the task it suggests automatic processing of symmetry. (2) Which brain areas are involved in symmetry perception? There is an extended symmetry-sensitive network in extrastriate visual areas and the LOC. (3) Is bilateral reflection special? Reflection is the optimal stimulus for a general regularity-sensitive network that responds also to rotation and translation. (4) Is the response to symmetry independent of view angle? When people classify patterns as symmetrical or random, the response to symmetry is view-invariant. When people attend to other dimensions, the network responds to residual regularity in the image. (5) Does the neural response to symmetry scale with degree of regularity? Yes, the proportion of symmetrically positioned elements predicts the size of SPN and fMRI responses (see attached Figure). Finally, (6) Are connections between the hemispheres especially important for symmetry perception? No. SPN amplitude increases with the number of axes, and is comparable for horizontal and vertical symmetry. Overall, these studies of the brain mechanisms involved in symmetry perception show a consistent link between brain activity and measures of sensitivity from psychophysical studies. Meeting abstract presented at VSS 2015.

Atypical emotional anticipation in high-functioning autism

BackgroundUnderstanding and anticipating others’ mental or emotional states relies on the processing of social cues, such as dynamic facial expressions. Individuals with high-functioning autism (HFA) may process these cues differently from individuals with typical development (TD) and purportedly use a ‘mechanistic’ rather than a ‘mentalistic’ approach, involving rule- and contingency-based interpretations of the stimuli. The study primarily aimed at examining whether the judgments of facial expressions made by individuals with TD and HFA would be similarly affected by the immediately preceding dynamic perceptual history of that face. A second aim was to explore possible differences in the mechanisms underpinning the perceptual judgments in the two groups.MethodsTwenty-two adults with HFA and with TD, matched for age, gender and IQ, were tested in three experiments in which dynamic, ‘ecologically valid’ offsets of happy and angry facial expressions were presented. Participants evaluated the expression depicted in the last frame of the video clip by using a 5-point scale ranging from slightly angry via neutral to slightly happy. Specific experimental manipulations prior to the final facial expression of the video clip allowed examining contributions of bottom-up mechanisms (sequential contrast/context effects and representational momentum) and a top-down mechanism (emotional anticipation) to distortions in the perception of the final expression.ResultsIn experiment 1, the two groups showed a very similar perceptual bias for the final expression of joy-to-neutral and anger-to-neutral videos (overshoot bias). In experiment 2, a change in the actor’s identity during the clip removed the bias in the TD group, but not in the HFA group. In experiment 3, neutral-to-joy/anger-to-neutral sequences generated an undershoot bias (opposite to the overshoot) in the TD group, whereas no bias was observed in the HFA group.ConclusionsWe argue that in TD individuals the perceptual judgments of other’s facial expressions were underpinned by an automatic emotional anticipation mechanism. In contrast, HFA individuals were primarily influenced by visual features, most notably the contrast between the start and end expressions, or pattern extrapolation. We critically discuss the proposition that automatic emotional anticipation may be induced by motor simulation of the perceived dynamic facial expressions and discuss its implications for autism.

Does Preference for Abstract Patterns Relate to Information Processing and Perceived Duration

Repetitive prestimulation, in the form of click trains, is known to alter a wide range of cognitive and perceptual judgments. To date, no research has explored whether click trains also influence subjective preferences. This is plausible because preference is related to perceptual fluency and clicks may increase fluency, or, because preference is related to arousal and clicks may increase arousal. In Experiment 1, participants heard a click train, white noise, or silence through headphones and then saw an abstract symmetrical pattern on the screen for 0.5, 1, or 1.5 s. They rated the pattern on a 7-point scale. Click trains had no effect on preference ratings, although patterns that lasted longer were preferred. In Experiment 2, we again presented a click train, silence, or white noise but included both symmetrical and random patterns. Participants made both a duration and a preference judgment on every trial. Auditory click trains increased perceived duration, and symmetrical patterns were perceived as lasting longer than random patterns. Again there was no effect of auditory click trains on preference, and again patterns that were presented for longer were preferred. We conclude that click trains alter perceptual and cognitive processes, but not preferences. This helps clarify the nature of the click train effect and shows which predictions implicit in the existing literature are supported.