acslab.org

Welcome to Applied Cognitive Science Lab

Objective

The focus of the lab is to investigate decision-making and cognition in applied domains. Some key domains include our environment, consumer behavior, cyber security, vehicle driving, natural disasters, and betting.

Methodology

Our research methodology includes conducting laboratory experiments where we collect human behavioral data using simulation games (also called “microworlds”). Furthermore, we use computational cognitive models based on the cognitive architectures (like ACT-R) and other approaches to understand and predict human behavior.

Resources

The Applied Cognitive Science Laboratory (ACS Lab) is located at the Bamboo Block B, Kamand Campus, Indian Institute of Technology Mandi, Himachal Pradesh, India. The laboratory is supported by grants from Indian Government and Industry. The ACS Lab has post-doctoral fellows, graduate and undergraduate students, and student interns from different parts of the world. Lab members come from different fields which include computer engineering, electrical engineering, mechanical engineering, civil engineering, and humanities and social sciences. The ACS Lab contains a high-speed network of several computing machines for experimentation and modeling. All machines are equipped with a number of devices, graphics, sound cards, and high resolution displays. The Lab’s hardware infrastructure includes an air-conditioned environment with 11 state-of-the-art desktops, a powerful HP® workstation Z440, 32-channel EGI Geodesic EEG System, Emotiv® 14-channel EEG/ERP headsets, Tobii® Eye Tracker, Leap Motion device, Oculus Rift headset, Google Cardboard headsets, driving simulator, Oximeters, Xbox Kinect, and other accessories. The Lab’s software infrastructure includes Windows, Linux, and Mac operating systems, MS Office suite, R, Matlab, E-Prime, VR/AR software development kit, and several web-based technologies.

Applications

Our results and conclusions extend to applied domains in the real world. For example, our conclusions help understand the effects of existing designs on human cognition and how improvements to existing designs could enhance human cognition. Our research also helps in developing training interventions in varied applied domains (including defense applications). For example, training security analysts against certain kinds of cyber-attacks in simulations helps improve their on-job performance in the real world.