Course 1

Course 1

So You Want to Do a PhD in Interaction Design

 

Anirudha Joshi
IDC IIT Bombay

 

This 80-minute course builds on a course by a similar name in India HCI 2018. It is meant for early-career professionals who are interested in pursuing Ph.D. research in interaction design or overlapping areas. In this course, I will provide a brief introduction to research and contextualize design research with respect to the interaction design profession. I will show some examples of work by Ph.D. students who have completed or are nearing completion of their Ph.D. and give glimpses into life before, during and after a PhD.

Course 2

Course 2

How to Write a Paper for India HCI 2020

 

Anirudha Joshi
IDC IIT Bombay

 

This 160-minute course builds on the experience of teaching a similar course in India HCI 2018. It aims to teach participants how to write research papers. It is particularly designed for first-time paper writers in the Indian interaction design / HCI community. It is meant for students and new professionals from the fields of design, computer science, cognitive science, ergonomics, etc. In this course, I will cover the scope and the contents of an HCI research paper, the style, and structure of writing a research paper, and the paper review process that authors should keep in mind. While this course will focus on writing papers and notes, some learnings from this course could be extended to writing other types of materials such as case studies, posters and demos.

Course 3

Course 3

User interfaces for prediction machines

 

Chinmay Parab
Microsoft India Research and Development

 

Akshay Kore
Cleartax

 

Current HCI practices revolve around the functioning of traditional software systems based on rigid instruction set algorithms. As prediction based systems become widely used in computational systems Designers and HCI practitioners need to be mindful of the implications of their design. In this course, we will review and discuss challenges, possibilities, and opportunities in designing for prediction based AI/ML systems. We aim to focus on the fundamental difference between traditional systems and AI/ML-based systems to understand the implications on best practices and methods in HCI. Additionally, we probe into what role design can play to make these technologies to be inclusive and collaborative with Human users.

Course 4

Course 4

Hands-on with Deep Learning and IoT

 

Deepthi Varikuti; Saraschandra Karanam; Shilpa Beura
MathWorks

 

This course is a hands-on introduction to Deep Learning and Internet of Things (IoT) for HCI professionals, aimed at beginner and intermediate level participants. No prior knowledge of any programming language is expected. Participants will learn the process of building a Deep Learning and IoT application. They will acquire images from a webcam and use a pre-trained Convolutional Neural Network (CNN) to recognize objects. They would then aggregate, visualize and analyze recognized labels on an IoT platform. Our goal is to get participants excited on these topics and ignite discussion on the role of HCI professionals in supporting Deep Learning and IoT projects.

Course 5

Course 5

Sequential Storytelling for Virtual Reality

 

Anmol Srivastava
School of Design, University of Petroleum and Energy Studies

 

Subir Dey
National Institute of Design Ahmedabad

 

Civilization has used storytelling since the time of stone-age for communication. It is an essential mode of expression that has been explored across various mediums. As technologies evolve, storytelling too moves beyond conventionally utilized media to a more immersive and experiential form, thereby opening new avenues for research and exploration. As a case study, this course discusses significance and challenges of sequential storytelling in Virtual Reality (VR) and deals with aspects related to interaction design, user needs, perspectives and roles of the audience in VR. The course presents a design methodology rooted in the human-centered design approach to overcome such challenges and can be utilized by designers and storytellers for quickly prototyping immersive storytelling experiences in VR.

Course 6

Course 6

Walk Like an Anthropologist: An Introduction to Ethnography for HCI Research

 

Rama Vennelakanti

 

The understanding and use of Ethnographic Method of Data Collection and analysis are essential to a robust understanding of behavior in context, and to drive decisions in a big data and AI-driven world. The agency that an ethnographic researcher brings to the table is essential to understand the nuances of behavior in the context of interactive systems and intelligent environments. In this course, the author will draw upon her work experience in the field to provide the participant an introduction to Ethnographic method in the context of HCI

Course 7

Course 7

Quantifying Creativity for Modern Workplaces

 

Sujath Asad Ali Junaid
Adobe Inc.

 

Creativity is at the core of modern innovation and entrepreneurship. Creativity is also closely coupled with the kind of work Designers and HCI Practitioners are involved in. The biggest challenge which organizations face while embracing creativity is that there doesn’t seem to be a straight forward method to measure the expertise in creativity among its employees. It is important to measure creativity to evaluate the creative competence of an individual or a group of people. Without the ability to measure or quantify, it would be difficult to form an opinion to make decisions. Once creativity is measurable, it can be managed. And if creativity can be managed, then organizations the world over can enable and make creativity ‘happen’. To firmly establish creativity as a measurable characteristic in organizations, it needs to have a robust set of metrics and an empirical framework in which these metrics can be measured. This course attempts to introduce the participants to the existing metrics for measuring creativity and subsequently aims to investigate and propose appropriate metrics and methods to measure and facilitate creativity in modern organizations.