Maurizio Cardaci

A fuzzy approach to the evaluation of image complexity

The inherently multidimensional problem of evaluating the complexity of an image is of a certain relevance in both computer science and cognitive psychology. Computer scientists usually analyze spatial dimensions in order to deal with automatic vision problems, such as feature extraction. Psychologists seem more interested in the temporal dimension of complexity, as a means to explore attentional models. Is it possible to define, by merging both approaches, a more general index of visual complexity? The aim of this paper is the definition of objective measures of image complexity that fits with the so named perceived time. Towards the end we have defined a fuzzy mathematical model of visual complexity, based on fuzzy measures of entropy; the results obtained by applying this model to a set of pictorial images present a strong correlation with the outcomes of an experiment with human subjects, based on variation of subjective temporal estimations associated with changes in visual attentional load, which is also described herein.

Time Estimation in Alzheimer's Disease and the Role of the Central Executive.

The aim of this study was to evaluate the role of short-term memory and attention in time estimation. For this purpose we studied prospective time verbal estimation in 21 patients with Alzheimers disease (AD), and compared their performance with that of 21 matched normal controls in two different conditions: during a digit span task and during an attentional task. Results showed that the performance of AD patients was significantly worse than that of the controls; the interaction between group and condition was significant. We suggest a role of attentional-executive functions in prospective time estimation.

RELATIONS AMONG PERCEIVED SELF-EFFICACY, SELF-ESTEEM, AND SCHOOL ACHIEVEMENT

The present research explored empirically the factorial dimensions of self-efficacy and self-esteem and associations among self-esteem, self-efficacy, and scholastic achievement as measured in 151 subjects (M age=13.4 yr.). Five factors emerged from factorial analysis: two factors reflected the self-esteem feelings (and were, respectively, named as self-referential self-esteem and comparative self-esteem). The remaining three factors reflected the self-efficacy beliefs in the three different scholastic domains considered, linguistic-literary, logical-mathematical, and technical-practical All self-efficacy scores were significantly correlated with scholastic achievement while no associations between self-esteem scores and scholastic performance were found. Nevertheless, self-efficacy and self-esteem dimensions shared some common aspects. In particular, each different self-esteem factor showed different magnitudes of association with domain-specific self-efficacy beliefs.

PERSONALITY VARIABLES AS PREDICTORS OF FACEBOOK USAGE

This study investigates the role of personality factors as predictors of Facebook usage. Data concerning Facebook usage and personality factors from 654 Facebook users were gathered using a web survey. Using path analysis, the results showed Openness was a predictor of Facebook early adoption, Conscientiousness with sparing use, Extraversion with long sessions and abundant friendships, and Neuroticism with high frequency of sessions. The possible role of Agreeableness in predicting low session frequency and friendships needs further validation.

Early usage of Pokmon Go and its personality correlates

Pokmon Go is a popular augmented reality mobile game. Players find imaginary creatures by wandering into the real world, which can then be collected and used in combat. In this paper an assessment of Pokmon Go early usage in the Italian community and of its correlates with the Big Five personality traits is given. The resulting profile of early PG player is one of a more Introverted, close person with high agreeability and conscientiousness. Extraversion and Stability are positively correlated with the collection part of the game, while Agreeableness is a negative predictor thereof. Openness is correlated to the level of proficiency. Display Omitted We assess Pokmon Go early usage and its correlates with the Big Five traits.Early PG player are more Introverted and Close, highly Agreeable and Conscientious.Extraversion and Stability are positively correlated with collection.Agreeableness is a negative predictor of collection.Openness is positively correlated to the level of proficiency reached in the game.

Facebook as a Small World: a topological hypothesis

Facebook is becoming a pervasive entity as its social, cultural and media ramifications grow deep and entrenched in our daily life. Its nature of a complex system of interactions, bearing a strong similarity to networks built through individual choices and systems shaped by evolutionary pressure, makes it an interesting target for research. Scale-free Small World networks, recently popularized by Barabasi, are a topological class pertaining to both these domains, whose members have resilience to disruption and short intermediate connections between nodes. In this paper we show that the topological structure of a specific subset of Facebook, gathered using data from a self-report online questionnaire on its usage, is similar but measurably different from a scale-free Small World network. We conjecture that the reason for this counterintuitive result lies in the dynamics behind friendship requests. This concept may be extendable to the whole network and to other social networks, and is useful to understand Facebook strengths and weaknesses, and to forecast its evolution.

On the evaluation of images complexity: a fuzzy approach

The inherently multidimensional problem of evaluating the complexity of an image is of a certain relevance in both computer science and cognitive psychology. Computer scientists usually analyze spatial dimensions, to deal with automatic vision problems, such as feature-extraction. Psychologists seem more interested in the temporal dimension of complexity, to explore attentional models. Is it possible, by merging both approaches, to define an more general index of visual complexity? We have defined a fuzzy mathematical model of visual complexity, using a specific entropy function; results obtained by applying this model to pictorial images have a strong correlation with ones from an experiment with human subjects based on variation of subjective temporal estimations associated with changes in visual attentional load, which is also described herein.

New frontiers for psychology and education: robotics.

The paper reviews the first attempts to study the educational and psychological usefulness of robotics: (1) the social and cooperative dimensions involved in the robot-building activities; (2) the reasoning strategies implied in building and programming robots; (3) the influences of robotics on mathematical and scientific achievement; (4) the use of robotics in modification of social skills of autistic children.

Attentional vs computational complexity measures in observing paintings.

Because of the great heterogeneity of subjects and styles, esthetic perception delineates a special and elusive field of research in vision, which represents an interesting challenge for cognitive science tools. With specific regard to the role of visual complexity, in this paper we present an experiment aimed to measure this dimension in a heterogeneous set of paintings. We compared perceived time complexity measures - based on a temporal estimation paradigm - with physical and statistical properties of the paintings, obtaining a strong correlation between psychological and computational results.

A Study of Temporal Estimation From the Perspective of the Mental Clock Model

M. Cardacis (2000) Mental Clock Model maintains that a task requiring a low mental workload is associated with an acceleration of perceived time, whereas a task requiring a high mental workload is associated with a deceleration. The authors examined the predictions of this model in a musical listening condition in which musical pieces were audible in several structural complexities. To measure the effects of musical complexity on time estimation, the authors used retrospective and prospective time-estimation paradigms. For the retrospective paradigm, the authors invited participants to listen to a musical piece and then estimate its duration. For the prospective paradigm, the authors invited participants to stop the musical reproduction after a certain interval of time. Results show that the variations of musical complexity yielded the empirical effects that the Mental Clock Model predicted for both paradigms.