An object-tracking model that combines position and speed explains spatial and temporal responses in a timing task

Many tasks require synchronizing our actions withparticular moments along the path of moving targets.However, it is controversial whether we base theseactions on spatial or temporal information, and whetherusing either can enhance our performance. Weaddressed these questions with a coincidence timin...

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Detalhes bibliográficos
Autores: Aguilar Lleyda, David, Tubau Sala, Elisabet, López-Moliner, Joan
Formato: artículo
Estado:Versión publicada
Fecha de publicación:2018
País:España
Recursos:Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)
Repositorio:Recercat. Dipósit de la Recerca de Catalunya
OAI Identifier:oai:recercat.cat:2445/148559
Acesso em linha:https://hdl.handle.net/2445/148559
Access Level:acceso abierto
Palavra-chave:Filtre de Kalman
Percepció visual
Presa de decisions
Espai i temps
Kalman filtering
Visual perception
Decision making
Space and time
Descrição
Resumo:Many tasks require synchronizing our actions withparticular moments along the path of moving targets.However, it is controversial whether we base theseactions on spatial or temporal information, and whetherusing either can enhance our performance. Weaddressed these questions with a coincidence timingtask. A target varying in speed and motion durationapproached a goal. Participants stopped the target andwere rewarded according to its proximity to the goal.Results showed larger reward for responses temporally(rather than spatially) equidistant to the goal acrossspeeds, and this pattern was promoted by longer motiondurations. We used a Kalman filter to simulate time andspace-based responses, where modeled speeduncertainty depended on motion duration and positionaluncertainty on target speed. The comparison betweensimulated and observed responses revealed that a singleposition-tracking mechanism could account for bothspatial and temporal patterns, providing a unifiedcomputational explanation.