Dazed

Behroozi, Mahnaz; Lui, Alison; Moore, Ian; Ford, Denae; Parnin, Chris

doi:10.1145/3183399.3183415

Cited by 42 publications

(16 citation statements)

References 16 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Novices exhibited the highest velocity with the easy category, which is linked with the highest amplitude, and they demonstrated the lowest with the hard category, which is linked with the lowest amplitude. This finding is in line with the previous research, e.g., [7], however, the expert group showed the opposite result, in the sense that they had the highest velocity with the most difficult category and, thus, the lowest amplitudes. None of the saccade related metrics for all types of tasks (i.e., easy, moderate, hard) fits the normal distribution.…”

Section: Psychological Measuressupporting

confidence: 92%

See 1 more Smart Citation

Exploring the Cognitive Load of Expert and Novice Map Users Using EEG and Eye Tracking

Keskin

Ooms

Doğru

et al. 2020

IJGI

View full text Add to dashboard Cite

The main objective of this research is to explore the cognitive processes of expert and novice map users during the retrieval of map-related information, within varying difficulty levels (i.e., easy, moderate, hard), by using eye tracking and electroencephalogram (EEG). In this context, we present a spatial memory experiment consisting of a large number of stimuli to study the effect of task difficulty on map users’ behavior through cognitive load measurements. Next to the reaction time and success rate, we used fixation and saccade related eye tracking metrics (i.e., average fixation duration, the number of fixations per second, saccade amplitude and saccade velocity), and EEG power spectrum (i.e., event-related changes in alpha and theta frequency bands) to identify the cognitive load. While fixation metrics indicated no statistically significant difference between experts and novices, saccade metrics proved the otherwise. EEG power spectral density analysis, on the other side, suggested an increase in theta (i.e., event-related synchronization) and a decrease in alpha (except moderate tasks) (i.e., event-related desynchronization) at all difficulty levels of the task for both experts and novices, which is an indicator of cognitive load. Although no significant difference emerged between two groups, we found a significant difference in their overall performances when the participants were classified as good and relatively bad learners. Triangulating EEG results with the recorded eye tracking data and the qualitative analysis of focus maps indeed provided a detailed insight on the differences of the individuals’ cognitive processes during this spatial memory task.

show abstract

Section: Psychological Measuressupporting

confidence: 92%

“…Higher saccade velocity average indicates higher stress and task complexity and lower concentration while doing the task. The higher the cognitive load, the shorter the saccades, and the higher the saccade velocity [7].…”

Section: Introductionmentioning

confidence: 99%

Exploring the Cognitive Load of Expert and Novice Map Users Using EEG and Eye Tracking

Keskin

Ooms

Doğru

et al. 2020

IJGI

View full text Add to dashboard Cite

show abstract

“…They ascribed this difference to the usability difference. Regardless of the correlation to cognitive load reported in previous research (Behroozi et al, 2018;Zagermann et al, 2016), it indicates that saccade may not be suited to detect experienced difficulty difference but usability effect.…”

Section: Saccadecontrasting

confidence: 78%

Measuring cognitive load in augmented reality with physiological methods: A systematic review

Suzuki,

Wild,

Scanlon

2023

Computer Assisted Learning

View full text Add to dashboard Cite

BackgroundCognitive load during AR use has been measured conventionally by performance tests and subjective rating. With the growing interest in physiological measurement using non‐invasive biometric sensors, unbiased real‐time detection of cognitive load in AR is expected. However, a range of sensors and parameters are used in various subject fields, and reported results are fragmented.ObjectivesThe aim of this review is to analyse systematically how physiological methods have been used to measure cognitive load and what the implications are for the future research on AR‐based tools.MethodsThis paper took the systematic review approach. Through screening with 10 exclusion criteria, 23 studies, that contain 3 key elements: AR‐based intervention, cognitive state examination and physiological methods, were identified, analysed and synthesised.ResultsPhysiological methods in their current form require reference to provide meaningful interpretations and suggestions. Therefore, they are often combined with conventional methods. Many studies investigate the effect of wearable devices in comparison with non‐AR stimuli, which has been controversial, but detection of different causes of cognitive load are on the horizon. Eye‐tracking is the method most used and most consistent in the use of its parameters.ConclusionsA multi‐method approach combining two or more evaluation instruments is essential for the validation of users' cognitive state. In addition to the AR stimuli in question, having another independent variable such as task difficulty in experiment design is useful. Statistical approaches with more data input could help establish a reliable scale. The future research should attempt to dissociate cognitive load caused by different effects such as device, instruction, and other AR techniques as well as intrinsic and extraneous aspects, in a better experimental setup with multiple parameters.

show abstract

“…The SMI BeGaze software automatically defines and detect blinks and saccades (short fast movements between two points) (Murch et al, 2020) and classifies the remaining samples as visual intake or fixation. Fixation duration corresponds to the cognitive processing that a specific location receives (Irwin, 2004) and typically lasts between 200 and 300 ms (ms) (Behroozi et al, 2018). To remove unlikely data, we only considered fixations of more than 50 ms to remove unlikely data, following Bläsing and Bornewasser (2020) and Wang et al (2021).…”

Section: Methodsmentioning

confidence: 99%

The influence of anthropomorphic cues in retailing: The moderating effect of the vice versus virtue products

Londoño

Maya

2022

Psychology and Marketing

View full text Add to dashboard Cite

In retail environments, consumers are constantly exposed to in‐store marketing communication activities. However, relatively little is known about the attribution of human traits to this communication tool. The current research focuses on how anthropomorphizing retail cues such as dump bins influences consumer behavior and the moderating effect of the vice‐virtue character of the displayed products. Using eye‐tracking technology in an ecological shopping environment, we tracked shoppers' gazes through the store and analyzed their visual attention. Results show that attaching anthropomorphic forms to dump bins positively affects attitudes toward the displayed products. In addition, we demonstrate that displaying a vice product in an anthropomorphic dump bin increases both attitude toward the product and purchase intention, compared to the display of a virtue product. These findings suggest that anthropomorphism has an empathy‐helping underlying psychological mechanism that, when applied to retail communication activities, can contribute to justifying the purchase of vice products.

show abstract

Dazed

Cited by 42 publications

References 16 publications

Exploring the Cognitive Load of Expert and Novice Map Users Using EEG and Eye Tracking

Exploring the Cognitive Load of Expert and Novice Map Users Using EEG and Eye Tracking

Measuring cognitive load in augmented reality with physiological methods: A systematic review

The influence of anthropomorphic cues in retailing: The moderating effect of the vice versus virtue products

Contact Info

Product

Resources

About