Canada Spends Logo

Explore our Budget 2026 analysis

Grant: Discovery Grants Program - Individual

University of Prince Edward Island

$25,000.00

Providing Social Feedback in Information Work

FY 2014-15

Summary
Information tools (such as programming environments, web applications, or word processors) are used by people everyday to complete a wide variety of tasks. While people often learn how to complete tasks using their information tools, they most often make do with novice skills or basic knowledge. Without higher levels of expertise many people are not able to perform as well as they potentially could, which can lead to work that is slower and of lower quality. While a number of solutions exist to ease the transition from novice to expert (e.g., tutorials), a critical factor in learning and behaviour change is people?s perception of whether new behaviour and skills have been successfully used by others. The problem addressed by this proposal is that current information tools do not provide appropriate support for people to learn from the strategies and techniques that have been successful for other people. Without this support people will continue to complete tasks in an inefficient manner. To address this problem, this research will apply the idea of social feedback ? support derived from the captured behaviour of other information workers. Social feedback builds on theories of how people learn from others, and how people can be persuaded and motivated to adopt new behaviour when using technology. A social feedback tool provides support by following three basic steps: it captures usage behaviour from a group of people as they use an application; it identifies expert skills and desirable behaviour from the captured data; and, finally, by visualizing this data it allows people to see how their skills compare to experts and to learn how they might improve. While social feedback can allow people to complete common tasks more efficiently and with higher quality outcomes, research in this area is still limited. In particular, this research tackles three challenges to the successful deployment of social feedback systems: 1) the requirement for feedback to be provided at the right time and place in order for it to be useful; 2) the difficulty people have with recalling newly learned skills and behaviour; and, 3) the challenge of motivating people to learn new skills and improve their expertise. This proposal contains six separate projects that investigate these challenges within three new application domains (crowdsourcing, programmer education and energy consumption). This research has strong potential to provide economic and social benefits to many types of work where information tools are used. We will create several technologies that provide data-collection mechanisms, visualization techniques, and design guidelines that allow developers to add social feedback into their existing software. We will also demonstrate the use of social feedback in three specific areas of high interest to the general public and to my industrial partners, who will play an important role in contributing to this work. This research will provide opportunities for HQP to receive training in cutting-edge technologies based in the domains of application, and position them well for further training or advanced positions within industry. This work will advance the understanding of social feedback systems by providing new mechanisms for people to improve their skills with information tools, which will have a positive impact on their productivity and everyday work experiences.
Program
Discovery Grants Program - Individual
Location
Prince Edward Island, Canada
Recipient Type
Academia
Type
Grant
Source
NSERC's Awards Data

As published

Application id
RGPIN-2014-04227
Name nom
Bateman, Scott
Department département
Computer Science & Information Technology
Organization id
88
Institution établissement
University of Prince Edward Island
Province en
Prince Edward Island
Province fr
?le-du-Prince-Édouard
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2014
Competition year année de concours
2014
Award amount
25000
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
1507
Committee name en
Computer Science
Committee name fr
Sciences informatiques
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
5
Application title
Providing Social Feedback in Information Work
Keyword
NSERC
Application summary
Information tools (such as programming environments, web applications, or word processors) are used by people everyday to complete a wide variety of tasks. While people often learn how to complete tasks using their information tools, they most often make do with novice skills or basic knowledge. Without higher levels of expertise many people are not able to perform as well as they potentially could, which can lead to work that is slower and of lower quality. While a number of solutions exist to ease the transition from novice to expert (e.g., tutorials), a critical factor in learning and behaviour change is people?s perception of whether new behaviour and skills have been successfully used by others. The problem addressed by this proposal is that current information tools do not provide appropriate support for people to learn from the strategies and techniques that have been successful for other people. Without this support people will continue to complete tasks in an inefficient manner. To address this problem, this research will apply the idea of social feedback ? support derived from the captured behaviour of other information workers. Social feedback builds on theories of how people learn from others, and how people can be persuaded and motivated to adopt new behaviour when using technology. A social feedback tool provides support by following three basic steps: it captures usage behaviour from a group of people as they use an application; it identifies expert skills and desirable behaviour from the captured data; and, finally, by visualizing this data it allows people to see how their skills compare to experts and to learn how they might improve. While social feedback can allow people to complete common tasks more efficiently and with higher quality outcomes, research in this area is still limited. In particular, this research tackles three challenges to the successful deployment of social feedback systems: 1) the requirement for feedback to be provided at the right time and place in order for it to be useful; 2) the difficulty people have with recalling newly learned skills and behaviour; and, 3) the challenge of motivating people to learn new skills and improve their expertise. This proposal contains six separate projects that investigate these challenges within three new application domains (crowdsourcing, programmer education and energy consumption). This research has strong potential to provide economic and social benefits to many types of work where information tools are used. We will create several technologies that provide data-collection mechanisms, visualization techniques, and design guidelines that allow developers to add social feedback into their existing software. We will also demonstrate the use of social feedback in three specific areas of high interest to the general public and to my industrial partners, who will play an important role in contributing to this work. This research will provide opportunities for HQP to receive training in cutting-edge technologies based in the domains of application, and position them well for further training or advanced positions within industry. This work will advance the understanding of social feedback systems by providing new mechanisms for people to improve their skills with information tools, which will have a positive impact on their productivity and everyday work experiences.