Sales Maximization Based on Neuro-Marketing Techniques in Virtual Environments

Quevedo, Washington X.; Venegas, Paulina F.; Lopez, Viviana; Gallardo, Cristian; Acosta, Aldrin G.; Tapia, Julio C.; Andaluz, Víctor H.

doi:10.1007/978-3-319-95282-6_13

Cited by 4 publications

(1 citation statement)

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“…Virtual environments, which could benefit from hyperreoriented walking have been reported in the scientific literature. For instance, in consumer behavior research, gridlike virtual shops have been used to investigate the effect of abnormal looking or perishable fruits and vegetables on the perception and purchase behavior (Verhulst et al 2017;Lombart et al 2020), to investigate whether consumers standing in front of a shelf in a real supermarket take same decisions as consumers standing in front of a shelf in a virtual supermarket (Siegrist et al 2019), and to inquire the consumer behavior when purchasing mass consumption products (Quevedo et al 2018). Grid-like walking paths in a virtual environments have also been used in logistics research.…”

Section: Introductionmentioning

confidence: 99%

Hyper-reoriented walking in minimal space

2021

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We present a new reorientation technique, “hyper-reoriented walking,” which greatly reduces the amount of physical space required in virtual reality (VR) applications asking participants to walk along a grid-like path (such as the most common layout in department stores). In hyper-reoriented walking, users walk along the gridlines with a virtual speed of twice the speed of real walking and perform turns at cross-points on the grid with half the speed of the rotation speed in the physical space. The impact of the technique on participants’ sense of orientation and increase in simulator sickness was investigated experimentally involving 19 participants walking in a labyrinth of infinite size that included straight corridors and 90° T-junctions at the end of the corridors. Walking accuracy was assessed by tracking the position of the head mounted display, and cyber-sickness was recorded with the simulator sickness questionnaire and with open questions. Walking straight forward was found to closely match the ideal path, which is the grid line, but slight errors occasionally occurred when participants turned at the T-junctions. A correction algorithm was therefore necessary to bring users back to the gridline. For VR experiments in a grid-like labyrinth with paths of 5 m in length, the technique reduces required size of the tracked physical walking area to 3 m × 2 m.

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