Grant: Research Tools and Instruments - Category 1 (<$150,000)
Ryerson University
$55,624.00
Video and eye tracking data collection and analysis system
EF 2006-07
Résumé
User studies are a critical element of the research program of Fels and others at Ryerson. Typical protocols for formative and summative evaluations such as heuristic evaluation, verbal protocol analysis, video analysis and surveys have been successfully used to collect data from users to date. However, we are finding that much of our current research in evaluating game playability and user reactions to enhanced captions and video descriptions for television and film requires more direct and objective methods. Verbal protocol and recall methods such as post-study questionnaires are not providing sufficient and timely data to understand people's real-time reactions. Because we want to evaluate arousal and emotional engagement as well as usability, we need methods that can measure these variables without required user intervention (such as verbalization). Physiological methods and eye movement are less invasive and more objective methods for collecting this information It is important to use a video analysis tool such as Noldus which provides more efficient methods for coding and analysis of video data as well as the automatic integration of eye data in this analysis. The Noldus tool is one of the few systems that integrates video data analysis with eye tracking technology. It can also accept physiological data from systems such as Captiv.
Programme
Research Tools and Instruments - Category 1 (<$150,000)
Bénéficiaire
Emplacement
Ontario, Canada
Type de bénéficiaire
Academia
Type
Grant
Source
NSERC's Awards Data
Tel que publié
Application id
345320-2007
Name nom
Fels, Deborah
Department département
Information and Technology Management, School of (ITM)
Organization id
43
Institution établissement
Ryerson University
Province en
Ontario
Province fr
Ontario
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2006
Competition year année de concours
2007
Award amount
55624
Program id
EQPEQ
Program name en
Research Tools and Instruments - Category 1 (<$150,000)
Program name fr
Outils et instruments de recherche - catégorie 1 (<150 000$)
Group en
Discovery grants programs
Group fr
Programmes de subventions à la découverte
Committee code
20
Committee name en
Industrial Engineering
Committee name fr
Génie industriel
Area of application code
802
Area of application group en
Information and communication services
Area of application group fr
Services d'information et de télécommunications
Area of application en
Information systems and technology
Area of application fr
Systèmes d'information et technologie de l'information
Research subject code
2710
Research subject group en
Information technology
Research subject group fr
Technologie de l'information
Research subject en
Information systems design
Research subject fr
Conception de systèmes d'information
Partie
1
Nb partie
1
Application title
Video and eye tracking data collection and analysis system
Keyword
NA
Application summary
User studies are a critical element of the research program of Fels and others at Ryerson. Typical protocols for formative and summative evaluations such as heuristic evaluation, verbal protocol analysis, video analysis and surveys have been successfully used to collect data from users to date. However, we are finding that much of our current research in evaluating game playability and user reactions to enhanced captions and video descriptions for television and film requires more direct and objective methods. Verbal protocol and recall methods such as post-study questionnaires are not providing sufficient and timely data to understand people's real-time reactions. Because we want to evaluate arousal and emotional engagement as well as usability, we need methods that can measure these variables without required user intervention (such as verbalization). Physiological methods and eye movement are less invasive and more objective methods for collecting this information It is important to use a video analysis tool such as Noldus which provides more efficient methods for coding and analysis of video data as well as the automatic integration of eye data in this analysis. The Noldus tool is one of the few systems that integrates video data analysis with eye tracking technology. It can also accept physiological data from systems such as Captiv.