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.
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 2024 half-day tutorials will be offered in Hybrid
format (Online and Live) on July 22-23, 2024.
Tutorial
Group A - 9:00 - 12:30 (CEST) July 22, 2024
Objectives
In this 3-hour workshop, participants will be
introduced to the fundamental concepts of
Augmented Reality (AR) and Virtual Reality (VR),
with a special focus on applications within
research and design. The session aims to equip
researchers and designers with practical
knowledge and techniques to leverage AR and VR
for creative and innovative outcomes. Whether a
novice or an intermediate user, participants
will gain hands-on experience, taking a project
from concept to creation using AR and VR tools.
Outlines:
Introduction to AR and VR
- Definition and history of AR and VR
- Key differences and applications in various
fields
- Current trends and future prospects
AR and VR in Research and Design:
- Exploration of how AR and VR can enhance
research methodology
- Discussion on design applications, including
prototyping and visualization
- Case studies and best practices
Hands-On AR and VR Demonstration:
- Guided tutorial on using popular AR and VR
software and hardware
- Interactive exercises for creating simple AR
and VR experiences
- Tips and tricks for effective implementation
Project Development: From Concept to Creation:
- Brainstorming and conceptualizing an AR or VR
project
- Guided creation of a basic AR or VR project
(with provided resources)
- Sharing and feedback session on participant
projects
Ethics and Considerations in AR and VR
- Understanding privacy, security, and
accessibility in AR and VR projects
- Discussion of potential challenges and
solutions
Q&A Session and Wrap-Up: Open forum for
questions, clarifications, and further
discussions
Summary of key takeaways: Distribution of
resources for continued learning
By the end of this workshop, participants will
have a foundational understanding of AR and VR
and will be equipped to incorporate these
technologies into their research and design
workflows. Attendees will leave with a tangible
project, new connections with like-minded
professionals, and the inspiration to further
explore the endless possibilities of AR and VR.
About the Speaker(s) Dr. Ryan
(Mahdi) Ebnali is an AR/VR expert, a research
scientist and faculty member at Department of
Emergency Medicine, Mass General Brigham, and an
Instructor at Harvard Medical School. With a
background in Systems Engineering, Computer
Sciences, and Human Factors, Dr. Ebnali has
skillsets in tackling scientific problems within a
variety of large-scale and federally funded
research projects funded by NSF, NASA, DoT, DoD,
and NIH. Dr. Ebnali leverages his expertise in
cognitive engineering, AR/VR development, machine
learning, and sensing technologies to augment
clinical capabilities and care quality in complex
individual and team-based activities.
Understanding a person’s psychophysiological
condition is crucial for different fields of
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. One major part of this
tutorial will cover remote measurement of vital
signs.
The tutorial will also discuss recent advances
in ubiquitous health monitoring. Ubiquitous
health monitoring refers to the continuous and
seamless monitoring of an individual's health
and physiological parameters using various
interconnected and pervasive technologies. The
goal of ubiquitous health monitoring is to
provide real-time and non-intrusive data
collection, analysis, and feedback to support
healthcare and promote wellness. This concept
leverages the widespread adoption of wearable
devices, Internet of Things (IoT) sensors, and
other smart technologies to monitor a person's
health status constantly, regardless of their
location or activity.
In this tutorial we would present how the
community can take advantage of recent
developments in wearables and remote measurement
for continuous monitoring of vital signs. With
increasing use of cyber physical systems,
internet of things across industries including
wearables, remote measurement is gaining more
attention than ever. Due to the development of
artificial intelligence and emergence of big
data analysis in last decade, vital sign
measurements are now very accurate and can
extract different modalities of vital sign. 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), and ubiquitous health
monitoring across industry and discuss the
benefits. This part will further discuss the
scope of ubiquitous health monitoring, related
challenges, sensors, and technologies. (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. Ubiquitous health monitoring (UHM): This
session will discuss what UHM is, components of
UHM, current state of research in wearable
technologies, cloud-based computing of health
data, and how advanced data analytics techniques
are used for UHM (Dr. Sarkar, Dr. Abbott).
6. 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. Next, we’ll discuss how thermal imaging can
be used for the study of human psychophysiology.
e. Finally, we’ll discuss next frontiers in
remote measurements, and current states.
7. Discussion: (Dr. Abhijit Sarkar, Dr. Lynn
Abbott) – (15 minutes)
About the Speaker(s) Dr. Sarkar
is a Senior Research Associate in the Virginia
Tech Transportation. He leads the computer vision
and machine learning group in the division of Data
and Analytics. 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 30 technical publications, proceedings,
and book chapters. He has 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.
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.
Objectives
To design a great UX for your team—by tomorrow
afternoon. How much user research, collaboration,
and iteration can you do in under 8 hours? Looks
like you are going to find out. Good luck! This
tutorial will start by quickly reviewing the
difference between UX and UI design. We will be
doing UX design here, so the proper distinction is
important. Next, we will review the most effective
design techniques that you can use quickly,
applying them to a real design challenge. We will
also review some popular techniques that don’t
work well when you are in a hurry because they
take too much time. We will then review a menu of
design approaches you can use if you have 2 days,
8 hours, 4 hours, 2 hours, 1 hour, 30 minutes, or
even 15 minutes—focusing on what’s worth keeping
and what’s worth skipping. And yes, it's possible
to design a great UX in 15 minutes if you really
must. The heart of the tutorial is the hands-on
design challenge. Working in teams, we will choose
a combination of techniques that will take about
60 minutes to set a baseline for the design. After
the hour, teams will present their results and
evaluate the benefit and value of each of the
steps they chose. In a series of three followup
exercises, teams will choose to apply some of the
techniques they skipped and evaluate the impact of
each.
About the Speaker(s) Everett
McKay is a UX design consultant, trainer,
full-stack developer, and founder, with over 30
years' experience and world-wide clientele.
Tutorial
Group B - 13:00 - 16:30 (CEST) July 22, 2024
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.
Human Factors and Cybersecurity: 10 Things you
need to know to protect yourself and your company
from cyber attacks
Every day the number of ransomwares, 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. 1.
Trust 2. Authentication 3. Privacy 4. Ransomware
5. Identity Theft 6. Phishing 7. Application
Access 8. Social Media 9. Home Networking 10.
Surveillance Target Audience Prior knowledge of
experience in the field of cybersecurity is not
required. Therefore, potential beneficiaries of
this course may be: • Students at All levels • All
Academics • Professional and Practitioners
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
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 Minhaj University
Lahore – 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.
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.
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.
Tutorial
Group C - 9:00 - 12:30 (CECST) July 23, 2024
This tutorial is designed to explore the
innovative use of serious games as a tool for
modeling, analyzing, and designing secure and
sustainable socio-technical cybersecurity systems.
Our primary aim is to provide a comprehensive
understanding of how serious games can facilitate
a deeper engagement with the complexities of
cybersecurity, focusing on both security and
sustainability aspects of socio-technical systems.
Participants will learn to leverage these
interactive tools for enhancing system resilience,
fostering sustainable security practices, and
promoting a holistic understanding of
cybersecurity challenges. Content: The tutorial's
curriculum is structured to encompass several key
areas: 1. Understanding Socio-Technical
Cybersecurity Systems: Introduction to the
intersection of social elements and technical
infrastructure in cybersecurity. 2. Serious Games
in Cybersecurity: Exploration of game theory and
its application in cybersecurity education and
training. 3. Modeling Cyber Threats and Solutions:
Techniques for simulating real-world cyber threats
and sustainable security solutions in a game
setting. 4. Analytical Tools and Techniques:
Methods for analyzing the effectiveness of serious
games in cybersecurity training and education. 5.
Design Workshop: A hands-on session where
participants design a basic serious game focusing
on specific cybersecurity challenges. 6.
Sustainability in Cybersecurity: Addressing the
long-term sustainability of cybersecurity
practices through serious games. 7. Case Studies
and Interactive Sessions: Analysis of existing
serious games, followed by playing the
CS_Technopoly game followed by group discussions
Target Audience: This tutorial is aimed at a wide
range of participants, including: • Cybersecurity
professionals seeking to deepen their
understanding of socio-technical systems. • Game
developers and designers interested in the field
of educational and training games for
cybersecurity. • Educational institutions and
trainers specializing in cybersecurity and
sustainable practices. • Policy makers and
analysts focused on long-term strategies for
cybersecurity sustainability Conclusion:
Participants will leave the workshop equipped with
practical skills and a nuanced understanding of
using serious games to address the intricate
balance of security and sustainability in
socio-technical cybersecurity systems. The
tutorial combines theoretical knowledge with
practical application, ensuring an engaging and
insightful learning experience.
About the Speaker(s) Stewart
Kowalski has over 40 years of industry and
academic experience in information security and
has worked for a number of large international
companies including Ericsson , Telia Research,
Huawei, Digital and HP . He has also taught and
researched information security education at a
number of universities, including the Royal
Institute of Technology (KTH), Stockholm School of
Economics, and Stockholm University Department of
Computer and Systems Sciences. Here has supervised
to completion 10 doctoral students in the
information security area. He is currently
Professor of Information Security at the
Department of Information Security and
Communication Technology, Norwegian University of
Science and Technology, Norway. He is also the a
member of Information Security Management Group at
the Center for Cyber and Information Security,
CCIS. He is a member of the Core Management Member
of the Norwegian Cyber Range project. He is a
visiting Professor and the Research Institutes of
Sweden, Cyber Security unit, were he is working
with the development of the RISE Cyber Range
project.
One of the most fundamental concepts in UX design
is that you need data to make informed decisions,
validate hypotheses, and avoid designing for
yourself. Just three problems: 1) Two-week sprints
make significant user research difficult, 2) your
data isn’t nearly as good as you think it is, and
3) being data driven is often a mistake—it’s much
better to be data informed. This tutorial starts
by making the case for using data throughout the
design process, then explores the challenges of
using data and how it often misleads instead of
informs. Next, we will explore why being data
informed is much better and less riskier than
being data driven. We will then explore the
various forms of data, along with their pros and
cons. The tutorial ends with a team-based exercise
to develop a research plan, analyze the results,
determine ways in which the data might be
misleading, and correcting course. Attendees will
not only learn how to give and receive better
design feedback, but also have a processes,
principles, and insights to help their teams do
better. 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.
Objectives With a growing need for mass data
visualization, most business and consumer
applications need to display compelling data
Visualizations to improve their data's impact.
One of the primary ways to present an overview
of the system status and content is by building
a persuasive visualization that facilitates
decision-making and augments cognition. What are
the basic principles behind designing effective
and intuitive visualization? This introductory/
intermediate course reviews the fundamentals of
data visualization and evaluation of
visualization. Participants will then evaluate
several visualization and practice building an
effective visualization. Content and Benefits
The first section of the tutorial will be used
to review the fundamental principles in
designing visualization. Participants will then
practice evaluating several example. 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 visualization in
Design • Visual Designs • Mass Data
Visualization • Evaluating visualization •
Building Effective Visualization 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 interest in UX
design • Researchers already working in UX
design
About the Speaker(s) Abbas
Moallem, Ph.D., is a consultant and adjunct
professor at San Jose State University,
California, where he teaches human-computer
interaction, cybersecurity, information
visualization, and human factors. Dr. Moallem is
the editor of HCI in Cybersecurity Handbook, Smart
and Intelligent System and the author of
Cybersecurity Awareness among College Students and
Faculty, and Understanding Cybersecurity
Technologies: A Guide to Selecting the Right
Cybersecurity Tools, published by CRC Press.
Embark on a journey through the fundamental
principles of User Experience (UX) and User
Interface (UI), with a primary focus on
optimizing designs through ergonomic principles.
This tutorial unveils key concepts crucial for
crafting user interfaces that not only captivate
visually but are also finely tuned for user
comfort and efficiency. Many well-designed
interfaces fall short due to a lack of
incorporation of UX/UI principles rooted in
ergonomics. Join us to enhance your awareness,
gain insights into key issues, and empower
yourself to identify and rectify common
mistakes, ultimately elevating both user
experiences and ergonomic-centric design.
Content and Benefits: Tailored for participants
ranging from novice to experienced users, this
tutorial begins with an evaluation of various
user interfaces, seamlessly integrating
essential concepts and practical exercises in
UX/UI and ergonomic design. Participants will: •
Grasp Key Concepts and Issues: Understand
fundamental concepts related to UX and UI within
the ergonomic framework, exploring their
relevance to user-interface components with a
dedicated emphasis on ergonomic considerations.
• Acquire Practical Principles and Techniques:
Learn actionable principles and techniques
essential for effective design, thoughtfully
enriched with ergonomic insights. Highlights: •
Interrelatedness of UX, UI, and Ergonomics:
Uncover the often-overlooked yet crucial
interrelation of UX and UI, seamlessly
integrated with ergonomic considerations in the
design process. • Interactive Learning
Experience: Engage in both presentations and
hands-on exercises, ensuring a dynamic and
immersive learning experience with a keen focus
on ergonomic design. • Guidelines for
Ergonomically Effective Interfaces: Gain
valuable guidelines for creating interfaces that
not only please the eye but also adhere to
ergonomic principles, enhancing user comfort and
satisfaction. Target Audience: This tutorial is
designed for a diverse audience, from academic
researchers to HCI practitioners, suitable for
both novices and experienced users.
Professionals in various roles, including
Designers (Interaction, Product, Experience,
User-Interface, Information Visualization),
usability and user-experience Evaluators,
Researchers, Software Engineers, and Web
Developers, will find valuable insights and
practical knowledge to enhance their design
practices by seamlessly integrating UX, UI, and
Ergonomics.
About the Speaker(s) Dr.Javed
Anjum Sheikh, Associate Profesor/Director
CS&IT in the University of Minhaj University
Lahore – 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.
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 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.
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