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Eye-tracking test design influences the relationship between gazing behaviour and evaluation decision

Open Access
|Mar 2018

Figures & Tables

Figure 1

Workflow of the choosing, ranking, and rating taskAbbildung 1. Ablauf der Auswahl-, Ranking- und Bewertungsaufgaben
Workflow of the choosing, ranking, and rating taskAbbildung 1. Ablauf der Auswahl-, Ranking- und Bewertungsaufgaben

Figure 2a, b, c, d

Relationship between gazing behaviour (fixation duration, fixation counts, visit duration) and consumers’ decision-making. Groups differ by Type of evaluation. (∗∗∗p ≤ 0.01, ∗∗p ≤ 0.05, ∗p ≤ 0.1, ns no significant effect at p > 0.1)Abbildung 2. Beziehung zwischen dem Blickverhalten (Fixierungsdauer, Fixierungsanzahl, Besuchsdauer) und der Entscheidungsfindung der Konsumentinnen. Gruppen unterscheiden sich nach Art der Bewertung.
Relationship between gazing behaviour (fixation duration, fixation counts, visit duration) and consumers’ decision-making. Groups differ by Type of evaluation. (∗∗∗p ≤ 0.01, ∗∗p ≤ 0.05, ∗p ≤ 0.1, ns no significant effect at p > 0.1)Abbildung 2. Beziehung zwischen dem Blickverhalten (Fixierungsdauer, Fixierungsanzahl, Besuchsdauer) und der Entscheidungsfindung der Konsumentinnen. Gruppen unterscheiden sich nach Art der Bewertung.

Figure 3

Relationship between gazing behaviour (fixation duration, fixation counts, visit duration) and the number of choice. Groups differ by Question content. (∗∗∗p ≤ 0.01, ∗∗p ≤ 0.05, ∗p ≤ 0.1, ns no significant effect at p > 0.1)Abbildung 3. Beziehung zwischen dem Blickverhalten (Fixierungsdauer, Fixierungsanzahl, Besuchsdauer) und der Anzahl der Auswahlmöglichkeiten. Die Gruppen unterscheiden sich durch den Frageninhalt.
Relationship between gazing behaviour (fixation duration, fixation counts, visit duration) and the number of choice. Groups differ by Question content. (∗∗∗p ≤ 0.01, ∗∗p ≤ 0.05, ∗p ≤ 0.1, ns no significant effect at p > 0.1)Abbildung 3. Beziehung zwischen dem Blickverhalten (Fixierungsdauer, Fixierungsanzahl, Besuchsdauer) und der Anzahl der Auswahlmöglichkeiten. Die Gruppen unterscheiden sich durch den Frageninhalt.

F- and p-values from the ANOVA performed for the effect of AOIs (food images)Tabelle 3_ F- und p-Werte der ANOVA bzgl_ Wirkung von AOIs (Bilder der Speisen)

Tested factorsFixation durationFixation countVisit duration
F-valuep-valueF-valuep-valueF-valuep-value
Type of evaluation1.1180.380

indicates no significant effect at p>0.1

0.7100.565

indicates no significant effect at p>0.1

0.7640.536

indicates no significant effect at p>0.1

Question content2.4270.116

indicates no significant effect at p>0.1

1.1170.381

indicates no significant effect at p>0.1

1.9110.182

indicates no significant effect at p>0.1

p-values of the chi-squared (χ2) test of independence between gazing behaviour and consumer’s choicesTabelle 5_ p-Werte des Chi-Quadrat-Test (χ2) auf Unabhangigkeit bzgl_ Blickverhalten und Auswahl durch die KonsumentInnen

Gazing parametersGroup of DeliciousnessGroup of HealthinessGroup of PriceGroup of Familiarity
Fixation Duration9.726E-087.551E-020.3050

indicates no significant effect at p>0.1

4.895E-08
Fixation Counts9.193E-076.939E-030.4070

indicates no significant effect at p>0.1

1.613E-03
Visit Duration9.701E-076.888E-040.3050

indicates no significant effect at p>0.1

3.523E-08

p-values of the one-way ANOVA between gazing behaviour and consumer’s ranking scores or consumer’ rating pointsTabelle 4_ p-Werte der Einfaktoriellen ANOVA bzgl_ Blickverhalten und Ranking bzw_ Bewertung durch die KonsumentInnen

Gazing parametersGroup of Maximum choice

p-values of the chi-square (χ2) test of independence between gazing behaviour and consumer’s choices

Group of Minimum choice

p-values of the chi-square (χ2) test of independence between gazing behaviour and consumer’s choices

Group of Ranking

p-values of the one-way ANOVA between gazing behaviour and consumer’s ranking scores or rating points.

Group of Rating

p-values of the one-way ANOVA between gazing behaviour and consumer’s ranking scores or rating points.

Fixation Duration3.452E-090.01160.8499

indicates no significant effect at p>0.1

0.8499

indicates no significant effect at p>0.1

Fixation Counts7.131E-070.01390.4730

indicates no significant effect at p>0.1

0.4730

indicates no significant effect at p>0.1

Visit Duration1.983E-080.00750.9745

indicates no significant effect at p>0.1

0.9745

indicates no significant effect at p>0.1

Experimental designTabelle 2_ Versuchsdesign

Tested FactorsType of evaluationContent of questionQuestions
Gr1Maximum choiceWhat is the healthiest food for you?
Gr2Minimum choiceWhat is the least healthy food for you?
Exp1.Gr3RankingHealthinessRank the healthiness of products, please
Gr4RatingRate the healthiness of products from 1 (very unhealthy) to 10 (very healthy), please
Gr1DeliciousnessWhat is the most delicious food for you?
Exp2.Gr2Maximum choiceHealthinessWhat is the healthiest food for you?
Gr3PriceWhat is the cheapest food for you?
Gr4FamiliarityWhat is the most familiar food for you?

Food images used in the studyTabelle 1_ Bilder der in der Studie verwendeten Speisen

StimulusSet of food images
Experiment 1: Type of evaluationVegetables - Tubers - Legumes - Fruits
Experiment 2: Question contentFast food - Home food - Restaurant food - Processed food
DOI: https://doi.org/10.1515/boku-2017-0021 | Journal eISSN: 2719-5430 | Journal ISSN: 0006-5471
Language: English
Page range: 261 - 270
Submitted on: Nov 27, 2017
Accepted on: Jan 24, 2018
Published on: Mar 9, 2018
Published by: Sciendo
In partnership with: Paradigm Publishing Services
Publication frequency: 4 times per year

© 2018 Thi Minh Hang Vu, Viet Phu Tu, Klaus Duerrschmid, published by Sciendo
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.