Schedule

Much of human behavior is guided by nonconscious processes. Behavioral research can therefore be complex. This complexity can be reduced by software which give researchers access to emotional, cognitive, and behavioral data in a synthesized way to tap into real-time human experiences. This helps academics progress their research and businesses become better attuned to customers.

Tutorial Session Comprises

• Live Demonstration of Eye Tracking

• Facial Expression Analysis

• EEG

• GSR/ECG

• Synchronization

• Q&A Session

Part 2:

Understanding XR and various use cases of it will help us create virtual platforms on which research study such as human behaviour analysis, behaviour pattern recognition, etc could be made. In this webinar we will understand various components, use cases and applications of XR in various industries like Manufacturing, process, Building and construction along with demos.

• Company and speaker Introduction

• Understanding XR

• Our solutions

• Building XR solutions .

• Q&A Session - 10mins

It is inevitable that our future will be powered by great technology. Yet as our lives are revolutionized, we continue to experience growing tensions with the very tools meant to make our lives easy. Did I select the wrong button? What do you mean I cannot use this password? Why doesn't this device understand what I want? In our quest to advance computerized solutions, we often overlook how irrational, imperfect, and important we humans are as part of the technological system. Human factors science provides many research and applied insights towards explaining why humans and technology fail, as well as how to enhance this man-machine partnership.

As the world's supply chains are battered by demand and supply side shocks, and risks increase, board rooms and governments across the globe are considering resilience as a hot topic. Organizations are turning to technology to find the right balance between resilience, profitability, and sustainability. In this session we will explore several emerging practices to address this need and real life examples of leading companies adapting these practices.

The Covid pandemic has not only highlighted the rapidly growing global interconnectedness of people, products and processes but sadly exposed the vulnerabilities and risks associated these interconnected systems. Further, those bearing the consequences of interconnected risk events have demonstrated the continued existence of extreme inequities in society. Policies and regulations have long aimed to address these inequities and provide protection to the vulnerable but unfortunately have not caught up with exponential growth of interconnected systems. This talk examines these interconnected risks through the lens of a few case scenarios, identifies gaps in risk governance, and lays out options for future interventions through cooperative governance structures, smarter policies, and responsible use of technology advancements.

IITM researchers will present their research in the fields of Cognitive Science, Risk Analytics, Supply Chain and related fields.

Invited participants will interact with experts about ongoing research in their respective fields.

TBA

Many contemporary studies show that errors and biases in human judgment and decision making stem directly from pre-decision processes. A core feature of my work has been studying pre-decision processes, elucidating the pre-decision mechanisms underlying hypothesis generation--the process people use to generate explanations for data patterns. This talk will review some of my work developing and testing a computational cognitive model of hypothesis generation and hypothesis testing called HyGene (for Hypothesis Generation). Specifically, the talk will include several demonstrations of pre-decision processes (e.g., memory retrieval, hypothesis generation, and attention) biasing human judgment and decision making. I will also discuss several experiments investigating the role of hypothesis generation in information search, visual search, heuristic decision making, and metacognition.

AI based sequential decision-making research have either focused on learning from interactions with the environment (i.e., purely data driven) or require the human to provide the entire domain description. While some research has used human domain knowledge as shaping functions, we argue that human knowledge can be more effectively exploited when learning to act. Specifically, I will present our recent research that allows for more reasonable human interaction where the human input is taken as “advice” and the learning algorithms combine this advice with data. Next, I will discuss methods that can actively solicit these advice instead of requiring them up front. To demonstrate the versatality of the formalism, I will present these advice-taking methods in the context of inverse reinforcement learning, imitation learning, planning and reinforcement learning.

IITM researchers will present their research in the fields of Cognitive Science, Risk Analytics, Supply Chain and related fields.

Invited participants will interact with experts about ongoing research in their respective fields.

American Express is a pioneer in financial services industry in applying machine learning and artificial intelligence to drive business outcomes . In this talk, Di will introduce the journey of machine learning at Amex and how it has transformed the decisions across customer life cycle

TBA

IITM researchers will present their research in the fields of Cognitive Science, Risk Analytics, Supply Chain and related fields.