Canada Spends Logo

Explore our Budget 2026 analysis

Grant: Alliance Grants

Toronto Metropolitan University

$25,000.00

Applications of sensor-based behavioral assessments in user-centered engineering design

FY 2022-23

Summary
Engineering design is an iterative process whose success relies on effective communication with clients to understand their needs. A complete design process requires multiple design prototype reviews by the client. With advances in virtual reality (VR), most design prototype reviews are shifting towards "digital prototype" reviews, especially in the early phases of design. This reduces the time and cost required for prototyping, while allowing a way for high-fidelity design assessments even in early design stages. As the VR technology evolves, new research directions in VR-based design review continues to emerge. Presently, the use of wearable sensors for face-tracking or heart rate monitoring are becoming standard in VR devices. Such sensor-based assessments can be used to infer intentions and emotions of users in VR environment. The objective of this research is to investigate the application of such sensor-based behavioral assessments in VR-based design review, explore how they can improve the understanding of client needs and help with informing design specifications and design validation, and ultimately, improve the efficiency of design process. Similar sensor-based assessments are being studied in the realm of neuromarketing to understand consumer behaviour. Therefore, we intend to collaborate with a neuromarketing research group from the Middle State Tennessee University to explore this new research direction. The proposed research has the potential to improve design cycle efficiency which will be extremely beneficial to many Canadian industry sectors including manufacturing, aerospace, and automotive.
Program
Alliance Grants
Location
Ontario, Canada
Recipient Type
Academia
Type
Grant
Source
NSERC's Awards Data

As published

Application id
580775-2022
Name nom
Xi, Fengfeng F
Department département
Aerospace Engineering
Organization id
43
Institution établissement
Toronto Metropolitan University
Province en
Ontario
Province fr
Ontario
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2022
Competition year année de concours
2022
Award amount
25000
Program id
ALLRP
Program name en
Alliance Grants
Program name fr
Subventions Alliance
Group en
RESEARCH PARTNERSHIPS
Group fr
PARTENARIATS DE RECHERCHE
Committee code
96
Committee name en
RPP Internal Decision Cttee
Committee name fr
Cté de décision interne - PPR
Area of application code
9999
Area of application group en
Not available
Area of application group fr
Non disponible
Area of application en
Not available
Area of application fr
Non disponible
Research subject code
1700
Research subject group en
Design and manufacturing
Research subject group fr
Conception et fabrication
Research subject en
Design and manufacturing
Research subject fr
Conception et fabrication
Installment
inst:1
Partie
1
Nb partie
1
Application title
Applications of sensor-based behavioral assessments in user-centered engineering design
Application summary
Engineering design is an iterative process whose success relies on effective communication with clients to understand their needs. A complete design process requires multiple design prototype reviews by the client. With advances in virtual reality (VR), most design prototype reviews are shifting towards "digital prototype" reviews, especially in the early phases of design. This reduces the time and cost required for prototyping, while allowing a way for high-fidelity design assessments even in early design stages. As the VR technology evolves, new research directions in VR-based design review continues to emerge. Presently, the use of wearable sensors for face-tracking or heart rate monitoring are becoming standard in VR devices. Such sensor-based assessments can be used to infer intentions and emotions of users in VR environment. The objective of this research is to investigate the application of such sensor-based behavioral assessments in VR-based design review, explore how they can improve the understanding of client needs and help with informing design specifications and design validation, and ultimately, improve the efficiency of design process. Similar sensor-based assessments are being studied in the realm of neuromarketing to understand consumer behaviour. Therefore, we intend to collaborate with a neuromarketing research group from the Middle State Tennessee University to explore this new research direction. The proposed research has the potential to improve design cycle efficiency which will be extremely beneficial to many Canadian industry sectors including manufacturing, aerospace, and automotive.
Toronto Metropolitan University - $25,000 Grant (2022… | Canada Spends