AHFE Tutorials and workshops are popular and attended by
many researchers each year. Half-Day tutorials at
introductory, intermediate, and advanced levels, covering
the entire spectrum of the conference. For previous
years tutorial programs click
here.
Hybrid Conference Mode: In order to give our
participants more flexibility, we will offer the option to
attend in-person onsite or virtual/online via the
dedicated conference virtual platform. Participants are
asked to select their preferred attendance option when
submitting their registration.
AHFE 2023 half-day tutorials will be offered on Thursday,
July 20 and Friday, July 21, 2023.
Tutorial
Group A - 9:00 - 12:30 (PDT) July 20, 2023
Objectives
With a growing need for mass data visualization,
most business and consumer applications need to
display compelling data Visualizations to
Improve the Impact of their data. One of the
primary ways to present an overview of the
system status and content is building a
persuasive dashboard that facilitates decision
making and augments cognition. What are the
basic principles behind designing effective and
intuitive dashboards? This introductory/
intermediate course reviews the fundamentals of
data visualization and dashboard design and
evaluation of visualization and dashboards.
Participants will then evaluate several
dashboards and practice building an effective
dashboard.
Content and Benefits
The first section of the course will be used to
review the fundamental principles in designing
dashboards. Participants will then practice
evaluating several example dashboards. Following
this, the participants will work in teams to
build an effective dashboard according to the
guidelines and principles taught in the previous
section. The course will feature presentations,
small group activities, and discussions to
enhance learning. The presentations will examine
the following topics:
• Introduction • Fundamental Principles of
Dashboard Design • Visual Designs • Mass Data
Visualization • Evaluating Dashboard User
Interfaces • Building Effective Dashboards
Target Audience Potential beneficiaries of this
course may be: • People who are involved with
UI/UX design • People who have some experience
with dashboard design • HCI professionals with
an interest in UX design • Researchers already
working in UX design •
About the Speaker(s) Dr. Abbas
Moallem is the executive director of UX Experts,
LLC, a UX/UI design and cyber security consultancy
in Cupertino, California, and an adjunct professor
at San Jose State University, where he teaches
Human computer Interaction, Human Factors, Data
Visualization and Cyber Security. Abbas is the
editor of the Human-Computer Interaction and Cyber
Security Handbook published in 2018 and
Cybersecurity Awareness among College Students and
Faculty published in 2019 by CRC Press. His latest
books are “Understanding Cybersecurity
Technologies” and “Smart and Intelligent System:
The Human Elements in Artificial Intelligence,
Robotics, and Cybersecurity” published in 2021 by
CRC Press. Dr. Moallem has over 20 years of
experience in the fields of human factors,
ergonomics, human computer interaction (HCI) and
usability. He has also served as a senior
engineering product manager and usability expert
at NETGEAR, a UI Architect at PeopleSoft, Oracle
Corporation, Tumbleweed, and Axway for over 11
years. He has consulted in a variety of industries
in Europe, Canada, and the USA.
Heuristic evaluation is a well-known technique
that evaluates a design based on its compliance
with recognized usability principles. Heuristic
evaluations have the benefit of being very
efficient and focused (for example, an
accessibility evaluation is focused on
accessibility problems.) However, most
practitioners prefer user-based testing because
they have more confidence in the results.
Ideally, teams should use both, as effective
heuristic evaluations make user-based testing
more productive by focusing on hard-to-find
problems.
But a heuristic evaluation is only as good as
the set of heuristics used, and the most popular
heuristics are well past their “best by” dates.
Arguably the most popular usability heuristics
were devised by Jakob Nielsen and Rolf Molich—in
1990! Considering how rapidly UI design has
changed, the relevance and practical value of
even 5-year-old heuristics should be suspect.
Less popular heuristics are often vague and hard
to apply meaningfully (example: “…check whether
the user has enough control…” What does that
even mean?)
This tutorial will consist of two parts. In Part
1, we will quickly review the most well-known
usability heuristics, plus a summary of the top
design principles recommended by the most
popular platforms (iOS, Android, Windows, and
Mac). The class will break into three teams
(representing desktop, web, and mobile), and
devise their own usability heuristics using a
structured process. The focus of the results
will be on their practical value. At the end of
this part, each team will present their results
to the class.
For Part 2, we will review the ground rules for
effective heuristic evaluations, then as apply
our newly created heuristics to desktop, web,
and mobile designs (at least one for each
platform). The tutorial will end with a
discussion about the effectiveness of the
evaluations and how to further improve the
process.
About the Speaker(s) Everett
McKay is Principal of UX Design Edge and a UX
design consultant and trainer with global
clientele that includes Europe, Asia, South
America, Australia, and Africa. Everett's
specialty is finding practical, intuitive, simple,
highly usable solutions quickly for web, mobile,
and desktop applications. Everett has over 30
years' experience in user interface design—and
even more programming UIs. (He loves React!)
Everett is author of "Intuitive Design: Eight
Steps to an Intuitive UI", the definitive guide to
designing intuitive interactions, and "UI Is
Communication: How to Design Intuitive, User
Centered Interfaces by Focusing on Effective
Communication", a groundbreaking approach to UI
design using human communication-based principles
and techniques. While at Microsoft, Everett wrote
the Windows UX Guidelines for Windows 7 and
Windows Vista. Everett holds a master's degree in
computer science from MIT.
An incremental but increasingly fast-paced
revolution is taking place in our digitalised
world: Ground, naval and air vehicles are becoming
progressively more intelligent and can assist the
human in complex scenarios or in a growing number
of situations even take over the operating task
from the human. The majority of the OEMs have
successfully tested vehicle concepts demonstrating
high automation and the first of these features
have now reached mass production. In addition to
the transport domain, the internet of things
connects energy systems, production lines and
societies with increasing aspects of machine
learning and artificial “intelligence”. Production
lines increasingly incorporate concepts like
cobotics where humans and robots cooperate.
All these concepts introduce highly automated
systems with the ability to operate temporarily
and in certain situations without a human, whilst
operating partially automated or assisted by the
human in other situations. This marks the starting
point for the role of the human to change from an
active operator to a supervisor in production
lines and energy systems or even to a passive
passenger in vehicles who has no responsibility
for the operating tasks at all.
To keep up with these changes, we envision a
system design and HMI design that addresses both;
the user needs and the technological chances, and
employs familiar models and metaphors to present
the user with intuitive interactions in
cooperative systems.
In this workshop, the participants will receive an
introduction in prototyping Human-Machine-Systems
and -Interfaces to improve different system
qualities like usability, acceptability, pleasure,
safety and energy-efficiency. Topics that will be
addressed in this workshop are, among others,
design thinking; iterative development process;
user stories; exploratory, participatory design
with personas, improvisation techniques and the
theatre method, prototyping and presenting.
Following a quick introductory session, the
workshop will feature a brief introduction to the
state of the art of assistance and automation in
highly automated systems, like cars, airplanes and
robots in production or power plants and into the
balanced Human Systems Integration fundamentals
and techniques.
The main component of the session is a hands-on
prototyping workshop, where participants will
start with an exploration phase to determine the
Use Space. In the next phase participants will
define the modalities, technologies, assistance
and automation modes that specify the Design Space
for the respective Use Space. Having Use Space and
Design Space prepared, the participants will start
prototyping a HMI, employing different techniques
and will finally present their prototype to other
group members.
About the Speaker(s) Dr.Marcel
Baltzer studied Business Administration &
Mechanical Engineering at RWTH Aachen University
and wrote his Diplom thesis at the Institute of
Industrial Engineering and Ergonomics at RWTH
Aachen University on “Motivated Energy Management”
combining energy technology and motivation aspects
of the user into a holistic human-machine system
concept.
From 2012 to 2015 he worked at the Academic and
Research Department Human Systems Integration at
RWTH Aachen University and is specialized in the
subject of Interaction Mediation, i.e. how
interaction between a human and a cooperative
automation can be optimized in terms of usability,
energy efficiency, comfort, safety and joy of use.
Since 2015 he is head of the research group
“Cooperative Guidance and Control” in the research
area Balanced Human Systems Integration at
Fraunhofer FKIE in Wachtberg. His research focus
lies on interaction design in highly automated
sociotechnical systems. In 2020 he submitted his
dissertation at the Faculty of Mechanical
Engineering of the RWTH Aachen University on
“Interaction Patterns for Cooperative Guidance and
Control of Vehicles”.
Nicolas Herzberger, RWTH Aachen University IAW,
Germany
Joscha Wasser, Fraunhofer FKIE, Germany
Tutorial
Group B - 13:00 - 16:30 (PDT) July 20, 2023
Eye tracking is the process of measuring either
the point of gaze (where one is looking) or the
motion of an eye relative to the head. An eye
tracker is a device for measuring eye positions
and eye movement. Eye trackers are used in
research on the visual system, in psychology, in
psycholinguistics, marketing, as an input device
for human-computer interaction, and in product
design. Eye trackers are also being increasingly
used for rehabilitative and assistive applications
(related for instance to control of wheel chairs,
robotic arms and prostheses). There are a number
of methods for measuring eye movement. The most
popular variant uses video images from which the
eye position is extracted. Other methods use.
About the Speaker(s) Jan
Watson, Drexel University, Jan Watson is a
researcher at the School of Biomedical
Engineering, Science and Health Systems in
Philadelphia Pennsylvania USA.
Design reviews are often ineffective—way too
often! We fail to achieve the goals of the review,
have unproductive battles over personal opinion,
and perhaps even leave in tears. Even experienced
teams have these problems. We need to do better!
This workshop explores why traditional design
reviews are often ineffective (hint: focusing on
personal opinion or minor details never helps),
practical tools to make reviews more productive,
and different design review techniques. We will
explore how to give and receive effective design
feedback, and the value of using design review
rules—especially for cross-function teams. We will
work in teams to perform several design reviews of
the same app (a baseline, a streamlined cognitive
walkthrough, and a scenario review) to try the
different techniques and see the pros and cons of
each first hand. About the Speaker(s) Everett
McKay is Principal of UX Design Edge and a UX
design trainer and consultant with global
clientele. Everett's specialty is finding
practical, intuitive, simple, highly usable
solutions quickly for web, mobile, and desktop
applications. Everett has over 30 years'
experience in user interface design and has
delivered UX design workshops to an international
audience that includes Europe, Australia, Asia,
South America, and Africa. Everett is author of
"Intuitive Design: Eight Steps to an Intuitive
UI", the definitive guide to designing intuitive
interactions, and "UI Is Communication: How to
Design Intuitive, User Centered Interfaces by
Focusing on Effective Communication", a
groundbreaking approach to UI design using human
communication-based principles and techniques.
While at Microsoft, Everett wrote the Windows UX
Guidelines for Windows 7 and Windows Vista.
Everett holds a master's degree in computer
science from MIT.
Human Factors and Cybersecurity: 10 Things you
need to know to protect yourself and your company
from cyber attacks
Every day the number of ransomware, identity
thefts, credit card fraud, email message hacking,
etc. grows and costs individuals and institutions
both short-term and long-term loss. The press is
full of reports of data center breaches that
result in loss of intellectual property, trade
secrets, and/or customer data and affect the
company’s reputation. Successful cyber protection
at the individual level or enterprise level is not
possible without having well-trained people who
are aware of security risks and are knowledgeable
enough to make sound judgments when they are
confronted with cyber-attacks such as phishing or
fraudulent phone calls. The active involvement of
employees and their awareness are paramount to a
company’s security compliance. The objective of
this tutorial is to cover 10 important areas of
cybersecurity risks and teach attendees about
protective measures. After the completion of this
training, session participants will learn
practical ways of dealing with cyber-attacks, and
a list of actions to take to protect themselves at
both the individual and the company level.
About the Speaker(s) Dr. Abbas
Moallem is the executive director of UX Experts,
LLC, a UX/UI design and cyber security consultancy
in Cupertino, California, and an adjunct professor
at San Jose State University, where he teaches
Human computer Interaction, Human Factors, Data
Visualization and Cyber Security. Abbas is the
editor of the Human-Computer Interaction and Cyber
Security Handbook published in 2018 and
Cybersecurity Awareness among College Students and
Faculty published in 2019 by CRC Press. His latest
books are “Understanding Cybersecurity
Technologies” and “Smart and Intelligent System:
The Human Elements in Artificial Intelligence,
Robotics, and Cybersecurity” published in 2021 by
CRC Press. Dr. Moallem has over 20 years of
experience in the fields of human factors,
ergonomics, human computer interaction (HCI) and
usability. He has also served as a senior
engineering product manager and usability expert
at NETGEAR, a UI Architect at PeopleSoft, Oracle
Corporation, Tumbleweed, and Axway for over 11
years. He has consulted in a variety of industries
in Europe, Canada, and the US
Tutorial
Group C - 9:00 - 12:30 (PDT) July 21, 2023
This tutorial will provide all the basics and
essential concepts of Python and Data
Science. It is the process of deriving
knowledge and insights from a huge and diverse set
of data. It extracts the data from the source and
applying data visualization techniques. for this
purpose, Data science needs a very versatile yet
flexible language for highly complex mathematical
processing. Python is most suited for general
computing as well as scientific computing. This
tutorial will increase awareness and understanding
of key issues related to the tutorial topic.
Further, they will learn;
• Concepts and
issues related to Data Science.
• How these
concepts relate to Python.
• Principles
and techniques that are useful in Data Science and
Python libraries.
Content and Benefits:
This tutorial is suitable for non-programmers as
well as programmers who don't know Python. It will
help how to do data analyses using the Python
language and Pandas The exercises will include the
design and evaluation
This tutorial will discuss how both Data Science
and Python are interrelated and essential for Data
visualization.
This tutorial will include both presentations and
practical work.
The tutorial will also provide guidelines for
future research
Topics
Covered:
• Basic
steps in data science
• Python:
basics, variables, data types, objects, loops,
conditions
• Python:
functions, string functions, lists, tuples,
dictionaries, sets
•
Exploratory Data analysis by using Jupyter
Notebooks, Numpy, pandas etc.
You won't become a full-fledged Python
programmer, but you'll learn enough to continue
your own Python education afterwards.
About the Speaker(s) Dr.Javed
Anjum Sheikh, Associate Profesor/Director
CS&IT in the University of Sialkot– before
that, I was the Assistant Professor/Campus
Director/Associate Dean of the University of
Lahore, Gujrat Campus and was the Assistant
Professor (Associate Director) of the faculty of
Computing and IT.
Neuroscience is the scientific study of the
nervous system. It is a multidisciplinary science
that combines physiology, anatomy, molecular
biology, developmental biology, cytology, computer
science and mathematical modeling to understand
the fundamental and emergent properties of neurons
and neural circuits. The understanding of the
biological basis of learning, memory, behavior,
perception, and consciousness has been described
by Eric Kandel as the "ultimate challenge" of the
biological sciences. The scope of neuroscience has
broadened over time to include different
approaches used to study the nervous system at
different scales and the techniques used by
neuroscientists have expanded enormously, from
molecular and cellular studies of individual
neurons to imaging of sensory, motor and cognitive
tasks in the brain.
About the Speaker(s) Adrian
Curtin is a researcher with Shanghai Jiao Tong
University and Drexel University. His research
background focuses on the neuroergonomic
application of neuroimaging, particularly in
mental health, neurostimulation, and in analysis
method development.
Simulation and training have rapidly evolved
recently with the introduction of high-performance
Head-Mounted Displays (HMDs), wearable sensors,
and advanced game engines. This workshop aims to
walk audiences through AR and VR development
process and provides some hands-on experiences on
these transformative technologies. This workshop
can be useful for researchers and designers who
want to get a better understanding of AR and VR
design workflow, and learn how these technologies
can be used in their research or industry
projects.
First part: Introduction (1 hour) • The first part
of this workshop provides the audiences with the
foundations of extended reality including Virtual
Reality (VR), Augmented Reality (AR), and Mixed
Reality (MR) with some examples of applications in
healthcare, military, and automation.
Second part: VR development workflow (2 hours) •
The second part of this workshop will focus on the
basics of developing in VR. Although because of
time limitations, instead of details of
development, there will be more concentration on
important VR concepts, VR HMDs (Head Mounted
Displays), introduction to main libraries,
interactions modules, and functionalities. At the
end of this part, the audience will have the
opportunity to discuss their questions and
interests.
Third part: AR development process and workflow (2
hours) • At the last part of the workshop, the
focus will be on onboarding audiences to AR
development including types of HMDs and MRTK, a
toolkit for AR development (from Microsoft). Again
here is also to save more time for essential
concepts, we will skip technical details, and
mostly cover design workflow, functionality and
opportunities with some practical examples.
Similarly, at the end of this part, the audience
will have the opportunity to discuss their
questions and interests.
About the Speaker(s) Dr. Mahdi
Ebnali, Harvard University, is a Postdoctoral
Research Fellow in STRATUS Medical Simulation
Center, Brigham and Women Hospital and Harvard
Medical School. As a researcher and developer, he
leverages cognitive engineering methodologies,
behavioral sciences, XR technologies (VR and AR),
AI, and human sensing technologies to augment
human capabilities in complex individual and
team-based activities.
Understanding a person’s psychophysiological
condition is crucial for different fields
applications, including health monitoring and
cognitive stress measurement. Continuous
measurement helps us understand the physical and
cognitive condition of a person. Heart rate,
breathing rate, blood pressure and heart rate
variability helps to assess the affective nature
of a person. This can help study stress level,
attention, fatigue, discomfort, delirium, and
productivity of a human being including a factory
worker, or a driver. But Most of the measurement
methods available in practice require
instrumentation, which are often intrusive in
nature, impossible to use for continuous
monitoring and need experts to operate. Remote
measurement eases the inconvenience associated
with contact-based devices, reduces person hour,
and enables safer alternative. The recent pandemic
has further demonstrated the importance of
contactless measurement methods.
In this tutorial we would present how the
community can take advantage of recent
developments in remote measurement for continuous
monitoring of vital signs. With increasing use of
cyber physical systems across industries including
wearables, remote measurement is gaining more
attention than ever. Due to the development of
computer vision and machine learning in last
decade, camera based remote measurements are now
very accurate and can extract vital signs and
activities from human face and body. This tutorial
aims to provide a comprehensive detail of all such
development, underlying technology, and their
scope in human factor research.
This tutorial will discuss several important
components of remote measurements and summarizes
work from last two decades in a half-day session:
1. Scopes: First, we’ll discuss the scopes and
promises of remote measurement of vital signs
(heart rate, respiration rate, blood pressure,
heart rate variability) across industry and
discuss the benefits of continuous measurement of
vital signs. (Dr. Lynn Abbott) - 30 min
2. Application: Next, we’ll discuss the roles of
vital sign in psychophysiological measures
including arrythmia, cognitive stress, attention,
fatigue, discomfort, and drowsiness. (Dr. Abhijit
Sarkar) – 30 min
3. Existing Methods: Next, we’ll discuss promises
and limitations of existing methods for remote
measurement of vital signs. This includes methods
that uses conventional cameras, RF cameras, radar,
Wifi. This will highlight some of the major
accomplishment for each of the methods. (Dr. Lynn
Abbott) – 30 min
4. Break – 15 min
5. Camera based method: (Dr. Abhijit Sarkar) – 60
minutes
a. First we’ll discuss how data from RGB and NIR
cameras contains blood volume pulse information
from human face.
b. Next we’ll discuss challenges from motion and
ambient illumination and methods to address those
challenges.
c. Next, we’ll show how advance computer vision,
signal processing and machine learning methods
including deep learning are used to extract blood
volume pulse, and respiration rate.
d. Finally, we’ll discuss the open questions.
6. Demo: Finally, we’ll show some demo for camera
based methods and discuss open source code base
that can be used by (Dr. Abhijit Sarkar) – 15 min
7. Discussion: (Dr. Abhijit Sarkar, Dr. Lynn
Abbott) – (15 – 30 minutes)
About the Speaker(s) Dr. Sarkar
is a Senior Research Associate in the Virginia
Tech Transportation. His current research focuses
on application of computer vision, machine
learning, biometric, and big data analysis for
transportation safety, driver health monitoring,
human factors, and affective computing. His
current work is supported by Federal Highway
Administration (FHWA), National Science Foundation
(NSF) National Highway Traffic Safety
Administration (NHTSA), National Academies of
Sciences Engineering and Medicine, National
Surface Transportation Safety Center for
Excellence (NSTSCE), Safety through Disruption
(Safe-D) University Transportation Center (UTC),
and numerous proprietary companies. Dr. Sarkar has
more than 20 technical publications, and software
development experience in both academia and
industry for 12 years.
Dr. Abbott is a Professor at Virginia Tech, where
he is a faculty member in the Bradley Department
of Electrical and Computer Engineering. His
primary research interests involve Computer
Vision, Machine Learning, and Biometrics. In the
area of biometrics, he has led efforts involving
fingerprint analysis, authentication from
cardiovascular signals, and facial expression
recognition. His work is currently supported by
the National Science Foundation (NSF) and by the
Federal Highway Administration (FHWA). Dr. Abbott
has authored or coauthored more than 160 technical
publications and has been awarded one U.S. patent.
He teaches graduate courses in the area of
Computer Vision, and undergraduate courses in
software development, microcontroller systems, and
Artificial Intelligence.
Neuroscience (or neurobiology)
is the scientific study of the nervous system. It
is a multidisciplinary science that combines
physiology, anatomy, molecular biology,
developmental biology, cytology, computer science
and mathematical modeling to understand the
fundamental and emergent properties of neurons and
neural circuits. The understanding of the
biological basis of learning, memory, behavior,
perception, and consciousness has been described
by Eric Kandel as the "ultimate challenge" of the
biological sciences. The scope of neuroscience has
broadened over time to include different
approaches used to study the nervous system at
different scales and the techniques used by
neuroscientists have expanded enormously, from
molecular and cellular studies of individual
neurons to imaging of sensory, motor and cognitive
tasks in the brain.
About
the
Speaker(s)(s)(s)(s)(s)(s)(s)(s)(s)(s)(s)(s)(s)(s)(s)(s)(s)(s)(s)(s)(s)(s)(s)(s)(s)(s)(s)(s)(s)(s)(s)(s)(s)(s)(s)(s)(s)(s)(s)(s)(s)(s)(s)(s)(s)(s)(s)(s)(s)(s)(s)(s)(s):
Dr. Adrian Curtin, Drexel University
Neuroscience
(or neurobiology) is the scientific study of the
nervous system. It is a multidisciplinary
science that combines physiology, anatomy,
molecular biology, developmental biology,
cytology, computer science and mathematical
modeling to understand the fundamental and
emergent properties of neurons and neural
circuits. The understanding of the biological
basis of learning, memory, behavior, perception,
and consciousness has been described by Eric
Kandel as the "ultimate challenge" of the
biological sciences. The scope of neuroscience
has broadened over time to include different
approaches used to study the nervous system at
different scales and the techniques used by
neuroscientists have expanded enormously, from
molecular and cellular studies of individual
neurons to imaging of sensory, motor and
cognitive tasks in the brain.
About
the
Speaker(s)(s)(s)(s)(s)(s)(s)(s)(s)(s)(s)(s)(s)(s)(s)(s)(s)(s)(s)(s)(s)(s)(s)(s)(s)(s)(s)(s)(s)(s)(s)(s)(s)(s)(s)(s)(s)(s)(s)(s)(s)(s)(s)(s)(s)(s)(s)(s)(s)(s)(s)(s)(s):
TBD