Evidence map›Paper›PMID 39286427›Full record

ArticleCurrent research in food science2024

Enhancing consumer sensory science approach through augmented virtuality.

Abdul Hannan Bin Zulkarnain, Howard R Moskowitz, Zoltán Kókai, Attila Gere

Abstract read
In one paragraph

Article in Current research in food science, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Abdul Hannan Bin ZulkarnainDepartment of Postharvest Science, Trade, Supply Chain and Sensory Science, Institute of Food Science and Technology, Hungarian University of Agriculture and Life Sciences, H-1118. Budapest, Villányi út. 29-31, Hungary.
Howard R MoskowitzCognitive Behavioral Insights, LLC, Albany, NY, USA.
Zoltán KókaiDepartment of Postharvest Science, Trade, Supply Chain and Sensory Science, Institute of Food Science and Technology, Hungarian University of Agriculture and Life Sciences, H-1118. Budapest, Villányi út. 29-31, Hungary.
Attila GereDepartment of Postharvest Science, Trade, Supply Chain and Sensory Science, Institute of Food Science and Technology, Hungarian University of Agriculture and Life Sciences, H-1118. Budapest, Villányi út. 29-31, Hungary.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Augmented Virtuality (AV) is a concept that merges components of Augmented Reality (AR) and Virtual Reality (VR), incorporating real elements into a virtual environment. This review analyses the influence of AV technology on sensory science and consumer behaviour, with the potential to improve product evaluation through sensory analysis. The objective is to develop immersive sensory environments that closely resemble real-world scenarios, offering accurate insights into consumer perceptions and preferences. Participants will be able to observe genuine food products within the virtual environment. Through the utilization of a multidisciplinary approach, the analysis explores the point at which technology and human senses intersect, revealing new and unique understandings of decision-making processes. This enhances comprehension of consumer choices and behaviour in virtual environments, providing practical uses for industries navigating the ever-changing nature of augmented virtuality. This review demonstrates that the integration of AV elements in sensory science can have a substantial influence.

Indexed as

Consumer perceptionDigital SensoryExtended Reality (XR)ImmersiveMixed Reality (MR)

Identifiers

PMID39286427
PMCPMC11403449

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.