Examining the use of multiple cognitive load measures in evaluating online shopping convenience
An EEG study
Bibliographic Data
| ID | 12420208 |
|---|---|
| Authors | Mahdi Mirhoseini (0000-0001-7718-8484, Concordia University), Pierre‐Majorique Léger (0000-0002-7887-8521, HEC Montréal), Pierre-Majorique Léger (HEC Montréal), Sylvain Sénécal (0000-0002-5264-4073, HEC Montréal) |
| Year | 2024 |
| Volume | 35 |
| Issue | 6 |
| Pages | 2445-2470 |
| Publication date | 2024-12-04 |
| Open Access | No |
| Type | ARTICLE |
| Venue | Internet Research (JOURNAL) |
| Journal identifiers | ISSN: 1066-2243 • E-ISSN: 2054-5657 |
| Publisher | Emerald Publishing Limited (PUBLISHER • GB) |
| DOI | 10.1108/intr-07-2022-0525 |
| OpenAlex | W4405010854 |
| Language | EN |
| References cited | 82 |
Purpose In the past decade, the use of neurophysiological measures as a complementary source of information has contributed to our understanding of human–computer interaction. However, less attention has been given to their capability in providing measures with high temporal resolution. Two studies are designed to address the challenge of measuring users’ cognitive load in an online shopping environment and investigate how it is related to task difficulty, task uncertainty and shopping convenience. Design/methodology/approach Two experiments using behavioral and neurophysiological measures are conducted to investigate how various types of the cognitive load construct can be measured and used in an online shopping context. Findings Results of the first study suggest that although all cognitive load measures are influenced by task difficulty, only accumulated load (i.e. total cognitive load experienced during a task) is sensitive to task uncertainty. Results of the second study show that convenience negatively influences accumulated load, and the latter negatively influences user satisfaction. Practical implications Our research offers practical value by providing designers with a validated method to measure users’ cognitive load, enabling the identification of usability issues and design improvement. Originality/value This study contributes to the literature by developing a rich and temporally high-resolution measurement of the cognitive load construct and examining how it can inform us about users’ cognitive state in an online shopping environment
Cognition · Cognitive Load · Cognitive psychology · Electroencephalography · Applied Psychology · Computer Science · Consumer Retail Behavior Studies · Personal Information Management and User Behavior · Psychology · Technology Adoption and User Behaviour
The effects of utilitarian and hedonic online shopping value on consumer preference and intentions
Cognitive load in hypertext reading
Cognitive Load Measurement as a Means to Advance Cognitive Load Theory
Multiple resources and performance prediction
Understanding Service Convenience
Cognitive Load Theory and Instructional Design
An Evolutionary Upgrade of Cognitive Load Theory
A Longitudinal Study of Complaining Customers' Evaluations of Multiple Service Failures and Recovery Efforts
Cognitive load theory, educational research, and instructional design
Understanding Information Systems Continuance
Working Memory, Thought, and Action
Factors affecting online group buying intention and satisfaction
Effects of digital game-based learning on achievement, flow and overall cognitive load
Online grocery retailing
Five-star or thumbs-up? The influence of rating system types on users’ perceptions of information quality, cognitive effort, enjoyment and continuance intention
The influence of online cross-recommendation on consumers’ instant cross-buying intention
Understanding automated conversational agent as a decision aid
Complicating or simplifying? Investigating the mixed impacts of online product information on consumers’ purchase decisions
Online retailing, product classifications, and consumer preferences
Marketing mix, customer value, and customer loyalty in social commerce
Exploring information avoidance intention of social media users
Coping with mobile technology overload in the workplace
Dispositional differences in cognitive motivation
Reconsidering Baron and Kenny
Cognitive Effort, Affect, and Choice
| Highly cited | No |
|---|