Attention-Capture Damaging Patterns Professors and Supervisors

Alberto Monge Roffarelloمشاهده پروفایل

استادیار

Polytechnic University of TurinItaly

Alberto Monge Roffarello is an Assistant Professor (RTDb) at the Department of Control and Computer Engineering (DAUIN), Politecnico di Torino, where he is a member of the e-Lite Research Group. He teaches courses including Human-AI Interaction, Digital Wellbeing, and Web Applications across multiple degree programs such as Computer Science and Systems Engineering, Computer Engineering, and Film and Media Engineering. His research centers on Human-Computer Interaction, with a strong focus on Digital Wellbeing and End-User Development in the Internet of Things . He investigates how users can personalize smart environments through trigger-action programming and how design patterns in digital interfaces—such as Infinite Scroll and Never-Ending Autoplay—exploit psychological vulnerabilities to capture attention. His work aims to empower users with tools for self-control, meaningful interaction, and habit mitigation. The recent publications highlight a consistent trajectory in digital self-control tools , attention-aware design , and semantic recommendation systems for IoT. His research bridges theoretical analysis with practical tools, including conversational agents (HeyTAP), debugging platforms (EUDebug, My IoT Puzzle), and ontologies (EUPont) to lower the barrier for non-technical users. Scientific contributions include: Systematic review of digital self-control tools (TOCHI 2022) Typology of Attention-Capture Damaging Patterns (CHI 2023) Design frameworks for meaningful interactions (AVI 2022) Behavioral interventions for smartphone habits (TiiS 2021) He actively supervises PhD students—Francesca Russo, Robert Everett Schwartz, and Luca Scibetta—on topics ranging from AI for education to digital wellbeing in high-schools. His work is supported by competitive research projects such as EMPATHY - Empathetic Mobility Platform . He has contributed to multiple national and international collaborations, notably with Santa Clara University (USA). Alberto leads and participates in research initiatives within the e-Lite - Intelligent and Interactive Systems group, focusing on intelligent interfaces, user empowerment, and ethical design. His lab develops tools that translate high-level user intentions into executable IoT rules, promote digital literacy, and support conscious technology use.

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Alan Pegnaمشاهده پروفایل

دانشیار

University of QueenslandAustralia

Associate Professor Alan Pegna is a neuropsychologist at the School of Psychology, University of Queensland, where he has been faculty since 2015. His research focuses on cognitive neuroscience and clinical neuropsychology, with particular expertise in visual and emotional processing using EEG methodologies. Dr. Pegna received his Masters in Psychology from the University of Geneva (Switzerland) followed by a second Masters in Human Physiology from University College London (UK). He completed his PhD at the University of Geneva, where he used brain imaging techniques to study spatial processing in both healthy controls and brain-damaged patients. His research interests center on the neural mechanisms underlying emotional face processing, particularly examining how the brain responds to different facial expressions and variations in perceived approachability and trustworthiness. He has extensive experience working with brain-damaged individuals to investigate the role of specific brain regions in visual and emotional processing. His work frequently employs EEG to measure early neural responses to emotional stimuli under various attentional conditions. Analysis of his recent publications reveals a consistent focus on emotional face processing using EEG methodologies. His work examines how spatial attention, visual awareness, and task relevance modulate neural responses to emotional faces. Key themes include the role of the amygdala in emotional processing, perspective taking in social cognition, blindsight phenomena, and the neural correlates of trustworthiness and dominance perceptions. Dr. Pegna has maintained an active research program since joining UQ in 2015, with over 150 journal articles and 30 conference papers to his name. His work demonstrates strong international collaboration, particularly with researchers in Switzerland and other European institutions. His laboratory specializes in EEG research on visual and emotional processing, with particular expertise in studying both healthy participants and individuals with neurological conditions. Current research focuses on how the brain processes emotional facial expressions under varying conditions of attention and awareness, with implications for understanding social cognition disorders.

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David Terburgمشاهده پروفایل

دانشیار

Utrecht UniversityNetherlands

David Terburg is Associate Professor in Social Neuroscience at Utrecht University's Department of Psychology (Faculty of Social and Behavioural Sciences). His research examines neurobiological mechanisms of social behavior using multimodal approaches including hormone administration, fMRI, and lesion studies. His research focuses on: Neural basis of social motivation and aggression Amygdala function in threat processing and escape behaviors Hormonal modulation of social decision-making Cross-species validation of social neuroscience findings Analysis of his publications shows strong emphasis on the basolateral amygdala's role in rapid threat responses, and hormonal influences (testosterone, oxytocin) on social cognition. Recent work develops neurocomputational models of cerebellum-amygdala interactions. Scientific awards include: NWO Veni Award (2013) for research on neuroendocrine mechanisms of defense behaviors He teaches courses in neuropsychology and social neuroscience, employing methods like eye-tracking and psychophysiology. His lab uses pharmacological interventions and neuroimaging to study clinical populations including psychopathy and social anxiety. Research is supported by Dutch Science Foundation grants and involves international collaborations across Europe and South Africa.

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Leendert van Maanenمشاهده پروفایل

دانشیار

Utrecht UniversityNetherlands

Dr. Leendert van Maanen is an Associate Professor at the Department of Experimental Psychology, Utrecht University, where he studies cognitive mechanisms underlying information processing and decision-making. His research focuses on developing and validating computational cognitive models, with applications in human-machine interaction and cognitive neuroscience data analysis. Research Themes: Cognitive Modeling, Decision-Making, Human-Centered Artificial Intelligence, Applied Data Science Labs: Leads the COBRA (Cognitive and Behavioral Research in Artificial Intelligence) lab His work spans three levels of cognitive integration in AI: model development, human-machine deployment, and neural data analysis. Recent projects include cognitive strategy detection, digital twin user modeling, and neural event detection using multivariate time series. For collaborations and publications, see leendertvanmaanen.com or Utrecht University Research Portal.

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Roberto Caldaraمشاهده پروفایل

استاد

University of FribourgSwitzerland

Dr. Roberto Caldara is a Full Professor in the Department of Psychology at the University of Fribourg . His research focuses on cultural influences in face processing , neural mechanisms of facial emotion recognition , and cross-cultural visual cognition . He leads two major research projects: Faces in motion (2022-2026) investigating dynamic facial expression decoding, and The Speed of Race (completed 2020-2025) examining race categorization dynamics. Key methodologies: Eye-tracking, EEG, fMRI, and computational modeling Major findings: Cultural modulation of face processing, Other-Race Effect, Saccadic reaction time differences Research Trends Recent publications (2022-2025) reveal three dominant themes: Neural Dynamics : Investigating face processing in prosopagnosia patients using electrophysiology Cultural Biases : Cross-cultural comparisons of visual strategies in emotion recognition Methodological Innovation : Development of statistical toolboxes like iMap4 for eye movement analysis Scientific Impact His work has significant implications: Challenging universality of facial expression recognition Revealing neural markers for face processing expertise Developing standardized face matching tests Creating assistive technologies (iKnowU glasses) for clinical populations

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