1,720,968 research outputs found
Cultural Specific Effects on the Recognition of Basic Emotions: A Study on Italian Subjects
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VISION as a support to Cognitive Behavioural Systems
No full textCognitive behavioral systems would definitely benefit from a supporting technology able to automatically recognize the context where humans operate, their gestures and even facial expressions. Such capability poses challenges for many researchers in various fields because the ultimate goal is to transfer to machines the human capability of representing and reasoning on the environment and its elements. The automation can be achieved through a supporting infrastructure able to capture a huge amount of information from the environment, much more than humans do, and sending it to a processing unit able to build a representation of the context that would catch all elements necessary to interpret the specific environment. The goal of this paper is to present the VISION infrastructure and how it can support cognitive systems. Indeed, VISION is a software/hardware infrastructure that overcomes the limitations of current technology for Wireless Sensor Networks (WSNs) providing broadband wireless links for 3D video streaming with very high reliability, obtained by an innovative reconfigurable context and resource. aware middleware for WSNs. We show VISION at work on the communicative impaired children scenario
Age and gender effects on the human’s ability to decode posed and naturalistic emotional faces
No full textThis paper proposes a systematic approach to investigate the impact of factors such as the gender and age of participants and gender, and age of faces on the decoding accuracy of emotional expressions of disgust, anger, sadness, fear, happiness, and neutrality. The emotional stimuli consisted of 76 posed and 76 naturalistic faces, differently aged (young, middle-aged, and older) selected from FACES and SFEW databases. Either a posed or naturalistic faces’ decoding task was administered. The posed faces’ decoding task involved three differently aged groups (young, middle-aged, and older adults). The naturalistic faces’ decoding task involved two groups of older adults. For the posed decoding task, older adults were found significantly less accurate than middle-aged and young participants, and middle-aged significantly less accurate than young participants. Old faces were significantly less accurately decoded than young and middle-aged faces of disgust, and anger, and young faces of fear, and neutrality. Female faces were significantly more accurately decoded than male faces of anger and sadness, significantly less accurately decoded than male faces of neutrality. For the naturalistic decoding task, older adults were significantly less accurate in decoding naturalistic rather than posed faces of disgust, fear, and neutrality, contradicting an older adults’ emended support from a prior naturalistic emotional experience. Young faces were more accurately decoded than old and middle-aged faces of disgust and anger and old faces of neutrality. Female faces were significantly more accurately decoded than male faces of fear, and significantly less accurately decoded than male faces of anger. Significant effects and significant interdependencies were observed among the age of participants, emotional categories, age, and gender of faces, and type of stimuli (naturalistic vs. posed), not allowing to distinctly isolate the effects of each involved variable. Nevertheless, the data collected in this paper weakens both the assumptions on women enhanced ability to display and decode emotions and participants enhanced ability to decode faces closer to their own age (“own age bias” theory). Considerations are made on how these data would guide the development of assessment tools and preventive interventions and the design of emotionally and socially believable virtual agents and robots to assists and coach emotionally vulnerable people in their daily routines
The influence of positive and negative emotions on physiological responses and memory task scores
No full textThe present paper report results of a preliminary study devoted to investigate whether and how different induced emotional states influence physiological responses and memory task scores. Physiological responses, such as skin conductance (SCL) and heart rate (HR) values were measured from 32 university students, before, during and after they were elicited by video stimuli. The considered stimuli were able to induce positive, negative and neutral emotional states. The specific physiological activation patterns were identified and correlated with memory task scores, computed using the "Anna Pesenti" Story Recall Test (SRT). The results show significant changes in physiological values when positive (increase in HR values) and negative (increase in SCL values) emotional states are induced. Surprisingly, increased SCL values, associated to induced positive emotional states, affect the participant's memory task scores. © Springer International Publishing Switzerland 2014
Gender identification through handwriting: An online approach
Full text linkThe present study was designed to identify writer's gender trough online handwriting and drawing analysis. Two groups - one of 126 males (mean age 24.65, SD=2.45) and the other of 114 females (mean age 24.51, SD=2.50) participants were recruited in the experiment. They were asked to perform seven writing and drawing tasks utilizing a digitizing tablet and a special writing device. Seventeen writing features grouped into five categories have been considered. The experiment's results show that the set of considered features enable to discriminate between male and female writers investigating their performance while copying a house drawing (task 2), writing words in capital letters (task 3) and writing a complete sentence in cursive letters (task 7), in particular focusing on Ductus (number of strokes) and Time categories of writing features
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Youtube emotional database: How to acquire user feedback to build a database of emotional video stimuli
No full textFeedbacks are an important tool for interacting within a social environment where our daily actions are continuously dictated and influenced by others as well as, of course, our actions influence others' choices. © 2013 IEEE
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