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.

The tutorial will present essential concepts of Design, User eXperience and Usability (DUXU). Many functional and attractive user interfaces suffer from poor usability because users do not have a clear understanding of it. This tutorial will increase awareness and understanding of key issues related to the tutorial topic. Participants will learn to identify and avoid the common mistakes and how can enhance user experience. Further, they will learn;
•       Concepts and issues to understand DUXU.
•       How these concepts relate to user-interface components.
•       Practical principles and techniques that are useful in the design

Content and Benefits:
This tutorial is appropriate for people from novice to experienced users. It will begin by evaluating and examining some user interfaces effectiveness and efficiency. We will review essential concepts and relevant exercises of Design, User eXperience and Usability (DUXU) by the course material and generate dialogue. The exercises will include the design and evaluation

•       This tutorial will discuss how both DUXU and Interfaces are interrelated and essential for the design process. Though, both are often overlooked by designers and practitioners.
•       This tutorial will include both presentations and practical work.
•       The tutorial will also provide guidelines to create effective Interface

Target Audience:
The tutorial is designed for anyone from academic researchers to practitioners in the field of HCI/DUXU to explore the difference between real-world experiences and the theoretical approaches. The tutorial is appropriate for people from novice to experienced users.

Professionals
1.      Designers: Interaction, Product, Experience, User-Interface, Information Visualization
2.      Evaluators of usability and user-experience
3.      Researchers
4.      Software Engineers
5.      Web Developer

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.

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

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.

One of the most frequent topics of discussion in UX design: UI is not UX. However, if you look at what most UX designers do, it looks very similar to UI design in that it involves sketching or mocking up screens and task flows. So what exactly is the difference? There is in fact a huge difference, and that difference lies outside of sketching. Yet many UX designers feel uncomfortable expressing ideas without sketching.
In this tutorial, we will start by exploring the real difference between UI and UX design (hint: the difference isn't user research). We will then explore eight different UX design techniques that don't involve sketching and apply them in group projects to real design challenges. In the end, you will have a stronger understanding of UX design and appreciate the value of designing without sketching.

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

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