Grant: Discovery Grants Program - Individual
University of British Columbia
$94,000.00
Human eye movements as a model of visual prediction
EF 2022-23
Résumé
Eye movements have an important function to stabilize gaze during self-motion, and to shift gaze to locations or objects of interest. Because of their close connection to visual perception, eye movements provide an excellent model system to answer fundamental questions about brain mechanisms underlying vision and movement. Most of our research relies on smooth pursuit eye movementsthe eyes' key response to visual-object motion. In our previous NSERC-funded research, we have characterized and compared the visual signals that drive perception and pursuit, and discovered similarities and striking dissociations between perception and action.Recently, we found that pursuit eye movements provide an important performance advantage during tasks that require prediction. Many real-world movements, such as intercepting prey or hitting a ball, involve prediction of an object's trajectory from a brief glance at its motion. The decision whether, when and where to intercept is based on the integration of current sensory object information, like a baseball's spin or speed, with past sensory experience, like the probability of a curveball. The efficacy and timescale of the mechanisms underlying the integration of current and past sensory signals are poorly understood.We will develop novel experimental paradigms and rely on a combination of technological approaches including human visual psychophysics, eye tracking, hand tracking, and computational modeling to investigate these integration mechanisms. We will manipulate sensory experience at different levels of processingfrom low-level expectations about the occurrence of a particular object motion to high-level rules and heuristics.Establishing the temporal dynamics of integrating and accumulating information during visual prediction will significantly contribute to our understanding of visual and motor control. Moreover, our experimental paradigms have high ecological validity for many natural tasks such as ball sports, and can be translated into portable applications for skill testing and training. The diverse combination of techniques and our multi-disciplinary and collaborative research approach will provide trainees with an ideal research environment.
Programme
Discovery Grants Program - Individual
Bénéficiaire
Emplacement
British Columbia, Canada
Type de bénéficiaire
Academia
Type
Grant
Source
NSERC's Awards Data
Tel que publié
Application id
RGPIN-2018-04987
Name nom
Spering, Miriam
Department département
Ophthalmology and Visual Sciences - Ophthalmology and Visual Sciences
Organization id
2
Institution établissement
University of British Columbia
Province en
British Columbia
Province fr
Colombie-Britannique
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2022
Competition year année de concours
2018
Award amount
94000
Program id
RGPIN
Program name en
Discovery Grants Program - Individual
Program name fr
Programme de subventions à la découverte - individuelles
Group en
DISCOVERY RESEARCH
Group fr
RECHERCHE AXÉE SUR LA DÉCOUVERTE
Committee code
1502
Committee name en
Biological Systems and Functions
Committee name fr
Systèmes et fonctions biologiques
Area of application code
1101
Area of application group en
Health, education and social services
Area of application group fr
Santé publique, éducation et services sociaux
Area of application en
Human health (including medically-related psychological research)
Area of application fr
Santé publique (y compris recherche psychologique liée à la médecine)
Research subject code
6300
Research subject group en
Psychology
Research subject group fr
Psychologie
Research subject en
Psychology
Research subject fr
Psychologie
Installment
inst:5;6
Partie
2
Nb partie
6
Application title
Human eye movements as a model of visual prediction
Application summary
Eye movements have an important function to stabilize gaze during self-motion, and to shift gaze to locations or objects of interest. Because of their close connection to visual perception, eye movements provide an excellent model system to answer fundamental questions about brain mechanisms underlying vision and movement. Most of our research relies on smooth pursuit eye movementsthe eyes' key response to visual-object motion. In our previous NSERC-funded research, we have characterized and compared the visual signals that drive perception and pursuit, and discovered similarities and striking dissociations between perception and action.Recently, we found that pursuit eye movements provide an important performance advantage during tasks that require prediction. Many real-world movements, such as intercepting prey or hitting a ball, involve prediction of an object's trajectory from a brief glance at its motion. The decision whether, when and where to intercept is based on the integration of current sensory object information, like a baseball's spin or speed, with past sensory experience, like the probability of a curveball. The efficacy and timescale of the mechanisms underlying the integration of current and past sensory signals are poorly understood.We will develop novel experimental paradigms and rely on a combination of technological approaches including human visual psychophysics, eye tracking, hand tracking, and computational modeling to investigate these integration mechanisms. We will manipulate sensory experience at different levels of processingfrom low-level expectations about the occurrence of a particular object motion to high-level rules and heuristics.Establishing the temporal dynamics of integrating and accumulating information during visual prediction will significantly contribute to our understanding of visual and motor control. Moreover, our experimental paradigms have high ecological validity for many natural tasks such as ball sports, and can be translated into portable applications for skill testing and training. The diverse combination of techniques and our multi-disciplinary and collaborative research approach will provide trainees with an ideal research environment.