Grant: Discovery Grants Program - Individual
Laurentian University of Sudbury
$15,000.00
Eye movements as implicit measures of attention in addiction
FY 2010-11
Summary
The ability to pay attention to relevant information in our environment while ignoring irrelevant information is essential for our survival. Unfortunately, in some situations, the same selective attentional process can have negative effects on our lives. An example of this negative impact is observed in addictive behaviours. For instance, the fact that an alcoholic favours to pay attention to alcohol-related cues in the environment rather than to other vital information contributes to maintain his problematic behaviours. To study this effect, researchers typically use implicit measures for which outcomes are not controlled by the individual to avoid his or her subjective influence at that outcome. The most commonly used implicit measures also have an important inconvenience: they require the individual to perform an artificial task (i.e. a ""spot-the-difference"" activity). Since humans do not usually perform tasks while they are processing information in their day-to-day life, the results from these artificial tasks might not represent our natural attentional processes. A way to address this problem is to use an implicit measure more similar to natural exploration. This can be done by using equipment that measures an individual's eye movements. In this research proposal, with an eye movement monitoring device, scenes will be presented on a computer screen and participants will freely observe the presented images. Comparably to a natural situation, it will allow us to better understand what, where, when, and how long an individual pays attention to different parts of a complex scene. For example, how much time does a heavy drinker spend on bottles of alcohol when he is presented a bar scene. Another example of a measure of interest is how quickly he would disengage his attention from the bottle. These measures will be compared for participants with addictive problems and participants who are not affected by these problems as well as between different types of addiction (i.e., to cigarettes, alcohol, and gambling). The main goal of this research program is to help better understand attentional mechanisms oberved in a naturalistic situation in order to assure that current models of attention in addiction provide the most accurate description of the problem.
Program
Discovery Grants Program - Individual
Recipient
Location
Ontario, Canada
Recipient Type
Academia
Type
Grant
Source
NSERC's Awards Data
As published
Application id
355885-2008
Name nom
RoyCharland, Annie
Department département
Psychology
Organization id
26
Institution établissement
Laurentian University of Sudbury
Province en
Ontario
Province fr
Ontario
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2010
Competition year année de concours
2008
Award amount
15000
Program id
RGPIN
Program name en
Discovery Grants Program - Individual
Program name fr
Programme de subventions à la découverte - individuelles
Group en
Discovery grants programs
Group fr
Programmes de subventions à la découverte
Committee code
12
Committee name en
Psychology: Brain, Behaviour & Cognitive Sciences
Committee name fr
Psychologie: Cerveau, comportement et science cognitive
Area of application code
1210
Area of application group en
Advancement of knowledge
Area of application group fr
Avancement des connaissances
Area of application en
Psychology
Area of application fr
Psychologie
Research subject code
6304
Research subject group en
Psychology
Research subject group fr
Psychologie
Research subject en
Cognitive science -- fundamental
Research subject fr
Science cognitive -- principes fondamentaux
Partie
3
Nb partie
5
Application title
Eye movements as implicit measures of attention in addiction
Keyword
NSERC
Application summary
The ability to pay attention to relevant information in our environment while ignoring irrelevant information is essential for our survival. Unfortunately, in some situations, the same selective attentional process can have negative effects on our lives. An example of this negative impact is observed in addictive behaviours. For instance, the fact that an alcoholic favours to pay attention to alcohol-related cues in the environment rather than to other vital information contributes to maintain his problematic behaviours. To study this effect, researchers typically use implicit measures for which outcomes are not controlled by the individual to avoid his or her subjective influence at that outcome. The most commonly used implicit measures also have an important inconvenience: they require the individual to perform an artificial task (i.e. a ""spot-the-difference"" activity). Since humans do not usually perform tasks while they are processing information in their day-to-day life, the results from these artificial tasks might not represent our natural attentional processes. A way to address this problem is to use an implicit measure more similar to natural exploration. This can be done by using equipment that measures an individual's eye movements. In this research proposal, with an eye movement monitoring device, scenes will be presented on a computer screen and participants will freely observe the presented images. Comparably to a natural situation, it will allow us to better understand what, where, when, and how long an individual pays attention to different parts of a complex scene. For example, how much time does a heavy drinker spend on bottles of alcohol when he is presented a bar scene. Another example of a measure of interest is how quickly he would disengage his attention from the bottle. These measures will be compared for participants with addictive problems and participants who are not affected by these problems as well as between different types of addiction (i.e., to cigarettes, alcohol, and gambling). The main goal of this research program is to help better understand attentional mechanisms oberved in a naturalistic situation in order to assure that current models of attention in addiction provide the most accurate description of the problem.