Adaptive user assistance in virtual reality shopping

dc.contributor.advisorPfeiffer, Jella
dc.contributor.advisorPröllochs, Nicolas
dc.contributor.authorWeiß, Tobias
dc.date.accessioned2025-02-17T13:42:56Z
dc.date.available2025-02-17T13:42:56Z
dc.date.issued2024-09-15
dc.description.abstractThis dissertation is comprised of five publications in the domain of adaptive user assistance in virtual reality shopping: Weiß, T., Pfeiffer, J. and Pfeiffer, T. (2024). "Early Bird – Predict healthy product choices in virtual commerce". ECIS 2024 Proceedings. 3. Weiß, T. and Pfeiffer, J. (2024). Consumer decisions in virtual commerce: Predict good help-timing based on cognitive load. Journal of Neuroscience, Psychology, and Economics, 17(2), 119. Weiß, T., Merkl, L., & Pfeiffer, J. (2023). Customer decision-making processes revisited: insights from an eye tracking and ECG study using a hidden Markov model. In NeuroIS Retreat (pp. 221-230). Cham: Springer Nature Switzerland. Weiß, T., Eilks, A., Pfeiffer, J., Putze, F., and Schultz, T. (2024). "Real agents in virtual commerce". Working paper. Weiß, T., Pfeiffer, J., and Meißner, M. (2024). "Adaptive product comparison assistance in virtual reality". Working paper.
dc.description.sponsorshipDeutsche Forschungsgemeinschaft (DFG); ROR-ID:018mejw64
dc.identifier.urihttps://jlupub.ub.uni-giessen.de/handle/jlupub/20264
dc.identifier.urihttps://doi.org/10.22029/jlupub-18800
dc.language.isoende_DE
dc.relation.uri10.17605/OSF.IO/DKT5Vde_DE
dc.subject.ddcddc:004
dc.subject.ddcddc:650
dc.titleAdaptive user assistance in virtual reality shopping
dc.typedoctoralThesis
dcterms.dateAccepted2025-01-24
local.affiliationFB 02 - Wirtschaftswissenschaftende_DE
local.project447089431
thesis.levelthesis.doctoralde_DE

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