Food Protection Trends - November/December 2020 - 456

GENERAL INTEREST PAPER

Exploring Novel Technologies to Enhance Food
Safety Training and Research Opportunities
Joseph E. B. Baldwin1* and Ellen W. Evans2
1

Perceptual Experience Laboratory, Cardiff School of Art and Design, Cardiff Metropolitan University, Western Ave., Llandaff, Cardiff, Wales CF5 2YB

2

ZERO2FIVE Food Industry Centre, Cardiff Metropolitan University, Western Ave., Llandaff, Cardiff, Wales CF5 2YB

SUMMARY
In food safety research focused on consumers in the
domestic setting or on food handlers in the industry,
technologic advancements have improved the rigor of
research findings, reduced research biases, simplified data
collection methods, and enhanced the delivery of food
safety education and training. Use of online surveys can save
time over use of paper-based surveys because data entry is
eliminated and data analysis can be simplified (44). The cost,
availability, and portability of surveillance equipment has
enabled covert observational research on consumer food
safety practices in domestic environments (34, 81) and on
food handlers in industry settings (20, 36, 37).
New technologies also afford many new opportunities to
interact with target audiences. These evolving technologies
are changing the way in which computer screens are used and
could allow the food industry and researchers to create new
and stimulating experiences that benefit study areas such as
food safety behaviors, cognition, and training.
Advancements in technology have allowed food safety
researchers and user-centered design researchers to join
forces to explore novel techniques that can be utilized to
enhance food safety training and research opportunities.
The aim of this article is to explore alternative approaches
such as biometric and virtual or augmented reality
technologies that can be utilized by food safety researchers
to enhance understanding of food safety practices, increase
industry insight into food safety behaviors, and present
opportunities to optimize food safety education prospects.
This article provides an overview of several physiological
and psychological technologies that can be used in simulated
environments, with applied user testing, in product
development, and in behavioral analysis research.
OVERVIEW
The terms virtual reality (VR) and augmented reality (AR) are
often misunderstood. Here, we describe the main characteristics
of and differences between these technologies in simulated task
environments and with eye tracking and biometric techniques
and consider how we can utilize these approaches to benefit food
safety research, training, and education in the future.

VR technology
VR technology is generally used to immerse users in
a computer-generated environment so that they can feel
present in virtual worlds away from the body's physical
location. Simulated environments are largely experienced
through a head-mounted display with stereoscopic binocular
technology that projects independent images onto each
eye, producing a sense of depth based on human binocular
disparity (two-eye view) (41).
The earliest known example of VR technology, the
Sensorama, was developed in the late 1950s (52). This
mechanical system provided an immersive video experience
that was used to train individuals without subjecting them
to possible hazards of particular situations (51). Significant
advancements have been made to VR technology and
head-mounted displays, such as producing the sensation of
peripheral vision and the viewer's changed orientation within
an environment (100) and the ability to navigate simulations
with stereoscopic vision and access embedded information in
the form of anchored hypermedia links (16, 17, 85).
Within VR environments, presence and immersion are
recognized as highly necessary for user satisfaction (22).
Immersion is determined by the technical provision of the
VR technology, and presence is the psychological response
to the VR environment, the feeling of "being there," obtained
through the external sensory information (5, 64, 95). For a
VR experience to feel realistic, user presence is optimized
by providing a first-person point of view, which is the way
in which humans judge sense of depth and experience being
engaged in the world (48). In video games, attempts to
improve immersive depth have included the representation of
the person playing the game from a first-person perspective.
VR application for food safety training
VR technology has been developed and used within
military, commercial, health care, and research applications
to simulate the sensations of an actual experience in an
individual undergoing real-life training (52). VR flight
simulators have been used to improve the decision making
and performance of combat pilots (29, 56), and headmounted display technology has enabled architects to

*Author for correspondence: Phone: +44 (0) 2920 5836; Fax: +44 (0) 2920 416982; Email: jbaldwin@cardiffmet.ac.uk

456

Food Protection Trends November/December



Food Protection Trends - November/December 2020

Table of Contents for the Digital Edition of Food Protection Trends - November/December 2020

Characterizing Microbial Cross-Contamination on Large Surfaces Using a Traditional “Cloth and Bucket” Disinfection Method
Sanitation Monitoring of Stainless Steel Surfaces with a Test for Total Adenylates
Variability in the Microbial Profile of Retail Cricket Powders in the U.S. Retail Market
Exploring Food Truck Food Safety Training and Practices in the United States: A Qualitative Study
Use of the Theory of Planned Behavior to Determine Food Safety Behavioral Intentions among Child Nutrition Employees
Produce Safety Alliance Train-the-Trainer Course: Developing Trainers to Support Fruit and Vegetable Growers
Beyond the Bio Manpreet Singh
PDG Highlight Food Packaging Professional Development Group
General Interest Paper Exploring Novel Technologies to Enhance Food Safety Training and Research Opportunities
General Interest Paper Food Safety and Quality Data Management Using Artificial Intelligence
Industry Products
Coming Events
Food Protection Trends - November/December 2020 - Cover1
Food Protection Trends - November/December 2020 - Cover2
Food Protection Trends - November/December 2020 - 385
Food Protection Trends - November/December 2020 - 386
Food Protection Trends - November/December 2020 - 387
Food Protection Trends - November/December 2020 - 388
Food Protection Trends - November/December 2020 - 389
Food Protection Trends - November/December 2020 - 390
Food Protection Trends - November/December 2020 - 391
Food Protection Trends - November/December 2020 - Characterizing Microbial Cross-Contamination on Large Surfaces Using a Traditional “Cloth and Bucket” Disinfection Method
Food Protection Trends - November/December 2020 - 393
Food Protection Trends - November/December 2020 - 394
Food Protection Trends - November/December 2020 - 395
Food Protection Trends - November/December 2020 - 396
Food Protection Trends - November/December 2020 - 397
Food Protection Trends - November/December 2020 - 398
Food Protection Trends - November/December 2020 - 399
Food Protection Trends - November/December 2020 - 400
Food Protection Trends - November/December 2020 - 401
Food Protection Trends - November/December 2020 - Sanitation Monitoring of Stainless Steel Surfaces with a Test for Total Adenylates
Food Protection Trends - November/December 2020 - 403
Food Protection Trends - November/December 2020 - 404
Food Protection Trends - November/December 2020 - 405
Food Protection Trends - November/December 2020 - 406
Food Protection Trends - November/December 2020 - Variability in the Microbial Profile of Retail Cricket Powders in the U.S. Retail Market
Food Protection Trends - November/December 2020 - 408
Food Protection Trends - November/December 2020 - 409
Food Protection Trends - November/December 2020 - 410
Food Protection Trends - November/December 2020 - 411
Food Protection Trends - November/December 2020 - 412
Food Protection Trends - November/December 2020 - Exploring Food Truck Food Safety Training and Practices in the United States: A Qualitative Study
Food Protection Trends - November/December 2020 - 414
Food Protection Trends - November/December 2020 - 415
Food Protection Trends - November/December 2020 - 416
Food Protection Trends - November/December 2020 - 417
Food Protection Trends - November/December 2020 - 418
Food Protection Trends - November/December 2020 - 419
Food Protection Trends - November/December 2020 - 420
Food Protection Trends - November/December 2020 - 421
Food Protection Trends - November/December 2020 - 422
Food Protection Trends - November/December 2020 - 423
Food Protection Trends - November/December 2020 - Use of the Theory of Planned Behavior to Determine Food Safety Behavioral Intentions among Child Nutrition Employees
Food Protection Trends - November/December 2020 - 425
Food Protection Trends - November/December 2020 - 426
Food Protection Trends - November/December 2020 - 427
Food Protection Trends - November/December 2020 - 428
Food Protection Trends - November/December 2020 - 429
Food Protection Trends - November/December 2020 - 430
Food Protection Trends - November/December 2020 - 431
Food Protection Trends - November/December 2020 - 432
Food Protection Trends - November/December 2020 - 433
Food Protection Trends - November/December 2020 - 434
Food Protection Trends - November/December 2020 - Produce Safety Alliance Train-the-Trainer Course: Developing Trainers to Support Fruit and Vegetable Growers
Food Protection Trends - November/December 2020 - 436
Food Protection Trends - November/December 2020 - 437
Food Protection Trends - November/December 2020 - 438
Food Protection Trends - November/December 2020 - 439
Food Protection Trends - November/December 2020 - 440
Food Protection Trends - November/December 2020 - 441
Food Protection Trends - November/December 2020 - 442
Food Protection Trends - November/December 2020 - 443
Food Protection Trends - November/December 2020 - 444
Food Protection Trends - November/December 2020 - 445
Food Protection Trends - November/December 2020 - 446
Food Protection Trends - November/December 2020 - 447
Food Protection Trends - November/December 2020 - 448
Food Protection Trends - November/December 2020 - 449
Food Protection Trends - November/December 2020 - 450
Food Protection Trends - November/December 2020 - 451
Food Protection Trends - November/December 2020 - Beyond the Bio Manpreet Singh
Food Protection Trends - November/December 2020 - 453
Food Protection Trends - November/December 2020 - 454
Food Protection Trends - November/December 2020 - PDG Highlight Food Packaging Professional Development Group
Food Protection Trends - November/December 2020 - General Interest Paper Exploring Novel Technologies to Enhance Food Safety Training and Research Opportunities
Food Protection Trends - November/December 2020 - 457
Food Protection Trends - November/December 2020 - 458
Food Protection Trends - November/December 2020 - 459
Food Protection Trends - November/December 2020 - 460
Food Protection Trends - November/December 2020 - 461
Food Protection Trends - November/December 2020 - 462
Food Protection Trends - November/December 2020 - 463
Food Protection Trends - November/December 2020 - General Interest Paper Food Safety and Quality Data Management Using Artificial Intelligence
Food Protection Trends - November/December 2020 - 465
Food Protection Trends - November/December 2020 - 466
Food Protection Trends - November/December 2020 - 467
Food Protection Trends - November/December 2020 - Industry Products
Food Protection Trends - November/December 2020 - 469
Food Protection Trends - November/December 2020 - 470
Food Protection Trends - November/December 2020 - 471
Food Protection Trends - November/December 2020 - Coming Events
Food Protection Trends - November/December 2020 - Cover3
Food Protection Trends - November/December 2020 - Cover4
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