Introduction to Automotive User Interface
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Instructor
Pradipta Biswas,
PhD (Cantab)
Intelligent Inclusive Interaction Design Lab
Assistant Professor
Email: pradipta
AT iisc DOT ac DOT in
Prerequisite·
Basic knowledge of Mathematics ·
C++ and preferably C# or VB.Net programming skill Requirements·
Computer with Windows 7/8/10 ·
MS Visual Studio 2010/2012/2015/2017 |
What you get·
State of the art and research areas in Automotive user Interface ·
Basic knowledge of multimodal interaction ·
Hands on experience on developing software using state-of-the-art eye
gaze, hand, head and finger movement and EEG trackers ·
Basics of cognitive psychology and its implications in interface design ·
Hands on experience in developing user interface in Visual Studio,
Android, HTML and Python QT ·
Qualitative and Quantitative data analytics relevant to UI/UX design |
Course Material
Day 1 – Before Lunch
Automotive UI [Slides]
State of the art, dashboard design, new interaction techniques,
cognitive load and distraction detection, Guidelines and standards
Alternative Input Modalities [Slides]
Working Principles of Gesture
Recognition System, Eye Gaze Tracking System, Speech Recognition System, Brain
Computer Interface
Day 1 – After Lunch
Workshop on developing multimodal
Automotive User Interface
Participants were provided with eye
gaze tracking and gesture recognition sensors with software development kit and
were supervised to develop gaze and gesture controlled systems with voice
enabled output
Sample Software developed during
workshop
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Day 2 – Before Lunch
Interface Design [Slides]
Basic theories of visual perception,
auditory perception, cognitive psychology and rapid aiming movements and their
implications in interface design, usability evaluation techniques
Multimodal Interaction [Slides]
Combining multiple modalities,
fusion algorithms, case studies of multimodal system
Day 2 – After Lunch
Workshop on developing user interface
using Python / QT, Android and HTML/ Javascript [Slides]
Software using HTML / Javascript
Qualitative Data Analysis [Slides]
Different Techniques to collect
qualitative data, Introduction to analysing free text data, case study on
Distraction Detection
Quantitative Data
Analysis [Slides]
Statistical
Hypothesis Testing, Parametric and Non Parametric Tests, t-test, ANOVA,
Chi-Square tests, APA Reporting Style
Assignment
Design a
user interface using your preferred software and prepare a report on evaluating
it using a usability evaluation technique
Books for further reading
Shneiderman B. "Designing The User Interface - Strategies
for Effective Human-Computer Interaction." Pearson Education
Johnson P.
"Human Computer Interaction: psychology, task analysis and software
engineering." McGraw Hill Book Company, 1992.
Buxton B.,
Sketching User Experiences: Getting the Design Right and the Right Design,
Morgan Kaufmann
Field A.
"Discovering Statistics Using SPSS." SAGE Publications Ltd., 2009
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Instructor’s Bio: Pradipta Biswas is an Assistant Professor at the Centre for Product Design and
Manufacturing of Indian
Institute of Science. His research focuses on user modelling and
multimodal human-machine interaction for aviation and automotive environments
and for assistive technology. He set up and leads the Interaction Design Lab at CPDM, IISc. Earlier, he was a Senior
Research Associate at
Engineering Department, Research Fellow at Wolfson College and
Research Associate at Trinity
Hall of University
of Cambridge. He completed PhD in Computer Science at the Rainbow
Group of University of Cambridge Computer Laboratory and Trinity College in 2010 and was awarded
a Gates-Cambridge Scholarship
in 2006. He undertook a master degree at the Indian Institute of Technology, Kharagpur. He
conducted a course on Human Computer Interaction at Indian Institute of Technology, Mandi,
guest lecture at Indian Institute of Technology,
Madras and was a vice chairman of ITU-T Focus
Group on Smart TV. |
I3D Lab Demo Video |