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Class Cognitive Processes I - Attention and Perception

  • Presentation

    Presentation

    This Course Unit aims to study cognitive processes related to information processing in different perceptual modalities. It addresses the conceptual foundations of attention and perception, exploring how these processes interact and complement each other in constructing our experience of the world. Additionally, it provides the essential bases for understanding how human beings acquire, interpret, and react to environmental information, serving as a foundation for future curricular units.  
  • Code

    Code

    ULHT35-24971
  • Syllabus

    Syllabus

    1. Perception:      Conceptual Foundations      Sensation and perception: concepts and interaction      Perceptual modalities: main characteristics and functioning      Conceptual models: Gestalt, information processing approaches, and constructivist proposals      Perception in the digital environment      Psychophysics and Signal Detection Theory   2. Attention      Conceptual Foundations      Definitions and taxonomies      Attention in the digital environment      Major theoretical models: filter theories, automatic and controlled processing, and capacity models.      Interactions with sensation, perception, and the influence of emotion   3. Research methods in Perception and Attention      Behavioral measures and models      Laboratory models: experimental paradigms, psychophysiological techniques, and neuroimaging   4. Applications of the study of Perception and Attention      Individual differences      Behavior and learning
  • Objectives

    Objectives

    The UC's objectives focus on promoting knowledge of the conceptual foundations of attention and perception from an interactive and complementary perspective, such as: LO1. Differentiate the concepts of sensation and perception, their interaction in information processing, and the characteristics of perceptual modalities. LO2. Develop the ability to describe the main theoretical models of perception and attention. LO3. Develop practical and laboratory skills in perception and attention research, using programs like PsychoPy to apply methodologies and experimental paradigms. LO4. Develop and consolidate knowledge of the applications of perception and attention research in studying and understanding individual differences. LO5. Stimulate critical thinking, promoting the interconnection of knowledge with other course units. LO6. Evaluate the implications of this area for understanding individual differences, behavior, and learning.
  • Teaching methodologies

    Teaching methodologies

    It encompasses two components, theoretical and practical, which are paired in terms of their programmatic content. The teaching methodology is predominantly expository, using PowerPoints and complemented by multimedia resources like videos and practical examples to illustrate concepts, fostering learning and motivation. Active student participation is promoted through interrogative methodologies, encouraging dialogue, especially in the practical component. The active methodology is reflected in students' direct involvement in research projects within the HEI-Lab, as well as in their data collection and analysis. The laboratory practical aspect includes applying behavioral and experimental paradigms, guided research activities, discussing scientific articles, and writing empirical reports and/or articles, which are important for an introduction to research methodologies.
  • References

    References

    Eysenck, M.W. & Keane, M.T. (2015). Cognitive Psychology: A Student's Handbook (7th Edition). NY: Psychology Press.   Harris, J. (2014). Sensation and Perception. London: Sage Publications.   Posner, M.I. (2012). Cognitive Neuroscience of Attention. Oxford: Oxford University Press.   Schiffman, H.R. (2005). Sensação e Perceção (Edição Brasileira). Rio de Janeiro: Livros Técnicos e Científicos Editora, S.A.  
  • Assessment

    Assessment

    A avaliação desta Unidade Curricular combina as modalidades contínua e final. A avaliação contínua é composta por dois testes escritos, com um peso de 25% cada. Adicionalmente, integra um trabalho individual com uma ponderação de 15% (Stroop ou reconhecimento de objetos vs não objetos). O trabalho de grupo implica a recolha de dados por parte dos alunos e inclui uma componente escrita em formato de artigo científico com uma ponderação de 20%, e a respetiva apresentação oral, com avaliação individual distinta entre os elementos do grupo, correspondente a 10%. A participação em experiências ou a sua substituição por uma análise de um artigo científico contribui com 5% da nota.

    A presença nas aulas práticas é obrigatória, sendo exigida uma assiduidade mínima de 70%. A avaliação final consiste num exame escrito com uma ponderação de 100% da nota final, que incidirá sobre a totalidade dos conteúdos teóricos e práticos. A avaliação final consta de um exame escrito que inclui os conteúdos das aulas teórico-práticas e práticas-laboratoriais, e exige uma classificação mínima de 10 valores.

    Durante os momentos de avaliação, não será permitido o uso de ferramentas de inteligência artificial generativa, dado que não é possível garantir a qualidade e fiabilidade das fontes que estas ferramentas utilizam. Caso se detete o seu uso indevido, o trabalho poderá ser anulado e poderá ser marcada uma prova oral adicional, nos termos previstos pelos regulamentos em vigor.

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