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Evaluation of a motorised patient transfer device based on perceived workload, technology acceptance, and emotional states
The high prevalence of musculoskeletal disorders (MSDs) among healthcare workers is partly attributed to the low adoption of patient transfer assistive devices. This study aimed to evaluate the nurses’ perceived workload, technology acceptance, and emotional states during the use of the sliding board (SB) and mechanical intervention in the form of a Motorised Patient Transfer […]
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Look Twice: A Computational Model of Return Fixations across Tasks and Species
Saccadic eye movements allow animals to bring different parts of an image into high-resolution. During free viewing,inhibition of return incentivizes exploration by discouraging previously visited locations. Despite this inhibition, here we show that subjects make frequent return fixations. We systematically studied a total of 44,328 return fixations out of 217,440 fixations across different tasks, in […]
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The face in everyday social interaction: social outcomes and personality correlates of facial behaviour
Facial behaviour is a central component of social interaction, yet is primarily studied in the absence of a social partner with a heavy focus on static, universal prototypes. Examination of individual variation in facial behaviour embedded within social interaction is essential to understand social function. We conducted a three-part multi-method study to examine how variation […]
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Affective Dynamics and Cognition during Game-based Learning
Inability to regulate affective states can impact one’s capacity to engage in higher-order thinking like scientific reasoning with game-based learning environments. Many efforts have been made to build affect-aware systems to mitigate the potentially detrimental effects of negative affect. Yet, gaps in research exist since accurately capturing and modeling affect as a state that changes […]
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Atypical Facial Expressivity in Young Children with Problematic Peer Relationships
Peer problems are frequently associated with difficulties in recognizing and appraising the emotions of others. It has been argued that facial responsiveness to others’ emotions—or motor empathy—is a precursor of emotion processing and affective empathy. Although mimicry impairments have been observed in studies of young people with conduct problems, to our knowledge no study has […]
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Cognitive Load Measurement Using Arithmetic and Graphical Tasks and Galvanic Skin Response
The results of an experiment to measure cognitive load using arithmetic and graphical tasks and galvanic skin response (GSR) biometric technique are presented in this paper. 62 volunteers were recruited to take part in a laboratory experiment conducted with the integrated iMotions biometric platform. Data were collected using observations, Single Ease Question (SEQ) and NASA […]
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Analysis of the usability and accessibility of websites in view of their universal design principles
Universal design is a strategic approach for planning and designing both the products and their environment, aimed at making a given product available to the widest number of possible users. It ensures equality for all of them and the opportunity to participate in society. This concept is also crucial in the process of designing and […]
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Leveraging the Science to Understand Factors Influencing the Use of AI-Powered Avatar in Healthcare Services
Interests in artificial intelligence (AI) adoption have increased in many organizations. Medical providers are seeking collaborations with technology companies to provide a reliable mental healthcare service for patients. While the interest in adopting an AI-powered healthcare solution is high, it is still unclear on patients’ attitude towards adopting AI for their mental health care. Three […]
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The Emotional Effectiveness of Advertisement
Based on cognitive–emotional neuroscience, the effectiveness of advertisement is measured in terms of individuals’ unconscious emotional responses. Using AFFDEX to record and analyze facial expressions, a combination of indicators that track both basic emotions and individual involvement is used to quantitatively determine if a spot causes high levels of ad liking in terms of attention, […]
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Dyslexia detection in children using eye tracking data based on VGG16 network
Considering the negative impact dyslexia has on school achievements, dyslexia diagnosis and treatment are found to be of great importance. In this paper, a deep convolutional neural network was developed to detect dyslexia in children ages 7-13, based on gathered eye tracking data. The children read a text written in Serbian on 13 different color […]
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