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Grant: Alliance Grants

HEC Montréal

$932,710.00

Improving industrial UX measures and methods

FY 2024-25

Summary
This research project aims to develop and validate guidelines for industrial user experience (UX) professionals which specify measurement tools and analytical methods to 1) minimize intrusivity, 2) maximize insight, and 3) minimize time-to-insight during UX testing in both controlled and uncontrolled environments. To accomplish this project aim, our research team and the partner organizations Deloitte, Desjardins, D-Box, ServiceNow, Sobeys, Blue Yonder, AllôProf, Videotron will conduct a series of studies with various types of users (i.e., citizens, employees, consumers) using various technological interfaces in different contexts of use. Critically, we will employ a battery of different intrusive and non-intrusive neuropsychophysiological measurement tools, taking into consideration the latest measurement technologies and analytical techniques. Then, through a systematic experimental and analytical approach targeting various individual UX constructs, we will produce a validated set of guidelines which satisfy our three key project aims and which can be generalized to various use cases and environments. UX testing has become a staple R&D practice for industries throughout the Canadian economy due to the positive impact it can have for all stakeholders, from employees and suppliers to customers and citizens. Correspondingly, this research should confer a strong benefit, both economically and socially, to Canada and beyond. In particular, these guidelines will take into consideration the latest in non-invasive measurement technologies and analytical techniques, thus helping ensure that the guidelines represent the cutting edge in UX testing methodology.. Aligning their development goals with these guidelines should then help industries maximize the effectiveness of their UX research activities.
Program
Alliance Grants
Recipient
Location
Quebec, Canada
Recipient Type
Academia
Type
Grant
Source
NSERC's Awards Data

As published

Application id
575332-2022
Name nom
Léger, Pierre-Majorique P-M
Department département
Technologies de l'information
Organization id
65
Institution établissement
HEC Montréal
Province en
Québec
Province fr
Québec
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2024
Competition year année de concours
2022
Award amount
932710
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
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
2700
Research subject group en
Information technology
Research subject group fr
Technologie de l'information
Research subject en
Information technology
Research subject fr
Technologie de l'information
Field of research list names en
Not available
Field of research list names fr
Non disponible
Socioeconomic objective list names en
Not available
Socioeconomic objective list names fr
Non disponible
Application title
Improving industrial UX measures and methods
Keywords
cognitive load; cognitive state estimation; emotional state estimation; human computer interaction; human factor; implicit measures; machine learning; neurophysiological measure; non-intrusive measures; user experience
Application summary
This research project aims to develop and validate guidelines for industrial user experience (UX) professionals which specify measurement tools and analytical methods to 1) minimize intrusivity, 2) maximize insight, and 3) minimize time-to-insight during UX testing in both controlled and uncontrolled environments. To accomplish this project aim, our research team and the partner organizations Deloitte, Desjardins, D-Box, ServiceNow, Sobeys, Blue Yonder, AllôProf, Videotron will conduct a series of studies with various types of users (i.e., citizens, employees, consumers) using various technological interfaces in different contexts of use. Critically, we will employ a battery of different intrusive and non-intrusive neuropsychophysiological measurement tools, taking into consideration the latest measurement technologies and analytical techniques. Then, through a systematic experimental and analytical approach targeting various individual UX constructs, we will produce a validated set of guidelines which satisfy our three key project aims and which can be generalized to various use cases and environments. UX testing has become a staple R&D practice for industries throughout the Canadian economy due to the positive impact it can have for all stakeholders, from employees and suppliers to customers and citizens. Correspondingly, this research should confer a strong benefit, both economically and socially, to Canada and beyond. In particular, these guidelines will take into consideration the latest in non-invasive measurement technologies and analytical techniques, thus helping ensure that the guidelines represent the cutting edge in UX testing methodology.. Aligning their development goals with these guidelines should then help industries maximize the effectiveness of their UX research activities.
HEC Montréal - $932,710 Grant (2024-25) | Canada Spends