2017
DOI: 10.1007/978-3-319-58628-1_18
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Adapting Human-Computer-Interaction of Attentive Smart Glasses to the Trade-Off Conflict in Purchase Decisions: An Experiment in a Virtual Supermarket

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Cited by 5 publications
(4 citation statements)
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“…ET has a rich history of research in a wide range of contexts, including, in particular, consumer behavior, due to its non-invasiveness. Several studies have used ET to examine, for example, the effect of smell on eye-catching behavior and memory ( Tomono et al, 2011 ), information processing and attention ( Pfeiffer et al, 2017 ), customer’s impulsivity ( Moghaddasi et al, 2021 ), perceived realism ( Carlson et al, 2011 ; Meißner et al, 2017 ) and perceived presence ( Tonkin et al, 2011 ), product or brand choice ( Siegrist et al, 2019 ), and purchase decisions ( Bigné et al, 2016 ). Khatri et al (2020) also used eye gazes to classify consumers’ ages in a virtual store.…”
Section: Literature Reviewmentioning
confidence: 99%
“…ET has a rich history of research in a wide range of contexts, including, in particular, consumer behavior, due to its non-invasiveness. Several studies have used ET to examine, for example, the effect of smell on eye-catching behavior and memory ( Tomono et al, 2011 ), information processing and attention ( Pfeiffer et al, 2017 ), customer’s impulsivity ( Moghaddasi et al, 2021 ), perceived realism ( Carlson et al, 2011 ; Meißner et al, 2017 ) and perceived presence ( Tonkin et al, 2011 ), product or brand choice ( Siegrist et al, 2019 ), and purchase decisions ( Bigné et al, 2016 ). Khatri et al (2020) also used eye gazes to classify consumers’ ages in a virtual store.…”
Section: Literature Reviewmentioning
confidence: 99%
“…The research activities of the chair mainly focused on VR shopping environments (Peukert et al 2018a;b, Pfeiffer et al 2017). Various questions concerning the acceptance of VR shopping environments were addressed (Peukert et al 2019a;, but also how user assistance systems for virtual shopping environments can be designed (Peukert et al 2018a;, Pfeiffer et al 2017. In particular, the concept of detecting different phases in consumers' decision-making process based on real-time analysis of eyetracking data was introduced, aiming at designing context-aware user assistance systems (Peukert et al 2020).…”
Section: User Experience In Immersive Systemsmentioning
confidence: 99%
“…Eye gaze research has progressed to include multiple user platforms with increasing number of applications in human computer interactions [ 6 , 7 , 8 ] marketing, psychology and ecommerce [ 9 , 10 ]. A major aim of eye tracking system design is to achieve high accuracy and consistency in results.…”
Section: Related Work: Accuracy Estimates and Visualizations In Gmentioning
confidence: 99%