Group Leader: Dr. Eakta Jain
Dr. Eakta Jain is an associate professor in the Department of Computer & Information Science & Engineering. She received her PhD and MS degrees in Robotics from Carnegie Mellon University, working in the Graphics Lab. Her B.Tech. degree is in Electrical Engineering from IIT Kanpur. She has worked in industrial research at Texas Instruments R&D labs, Disney Research Pittsburgh, and the Walt Disney Animation Studios.
Mission
The mission of the UFTI’s human factors research group is to conduct and foster impactful, crosscutting, multimodal transportation research; educate the next generation of transportation leaders; and facilitate technology transfer.
Projects
| Project Title | PI | Funding Source | Status |
|---|---|---|---|
| UF & UAB’s Phase I Demonstration Study: Older Driver Experiences with Autonomous Vehicle Technology | Dr. Sherrilene Classen | Southeastern Transportation Research, Innovation, Development and Education Center (STRIDE) | Active |
| UF & UAB’s Phase II Demonstration Study: Developing a Model to Support Transportation System Decisions considering the Experiences of Drivers of all Age Groups with Autonomous Vehicle Technology | Dr. Sherrilene Classen | Southeastern Transportation Research, Innovation, Development and Education Center (STRIDE) | Active |
| Exploring Younger and Older Driver’s Trust, Attention and Workload During Vehicle Automation | Dr. Justin Mason | University of Florida Clinical and Translational Science Institute (CTSI) | Active |
| I-STREET Initiative – Evaluation of Intelligent School Zone Beacon and Vehicle-Cyclist Detection and Warning System | Dr. Eakta Jain | Florida Department of Transportation | Completed |
Participants
Sherrilene Classen
Professor and Chair, Department of Occupational Therapy
(352) 273-6883
sclassen@phhp.ufl.edu
Wayne Giang
Assistant Professor, Department of Industrial & Systems Engineering
(352) 294-7729
wayne.giang@ise.ufl.edu
Juan Gilbert
Banks Family Preeminence Endowed Professor & Department Chair, Department of Computer & Information Science & Engineering
(352) 392-1200
juan@ufl.edu
Eakta Jain
Associate Professor, Department of Computer & Information Science & Engineering
ejain@ufl.edu
David Kaber
Department Chair & Dean’s Leadership Professor, Department of Industrial & Systems Engineering
(352) 294-7700
dkaber@ise.ufl.edu
Pruthvi Manjunatha
I-STREET “Living lab” Manager and Research Assistant Professor, Department of Civil and Coastal Engineering
pruthvim@ufl.edu
Justin Mason
Research Assistant Professor, Department of Occupational Therapy
(352) 273-6146
justinmason@phhp.ufl.edu
Siva Srinivasan
Associate Director, UFTI; Associate Professor, Department of Civil and Coastal Engineering
(352) 294-7807
siva@ce.ufl.edu
Research Resources
Driving Simulators
Smart Home Driving Simulator
The Driving Simulator Lab is located in the garage of the Gator Tech Smart House which provides convenient access to participants who enjoy dedicated parking and lessened traffic around 3.5 miles from the main university campus. It is a high-fidelity simulator from Realtime Technologies Inc. (RTI). The RTI simulator is integrated into a full car cab with a 180 degree Field of View, with rear and side view mirrors, steering feedback, and realistic engine, transmission, wind and tire noises. The full car cab allows the driver to operate a normal accelerator, brake, steering, transmission selection, and signaling controls with the simulator responding accordingly. Longitudinal and lateral movement allows the driver to speed up or slow down, come to a halt, steer laterally, make lane changes, and changes in direction at intersections. Recording software permits the recording of up to 40 vehicles, driver, and simulation parameters in Excel format.
UF Advanced Driving Simulator
The University of Florida Advanced Driving Simulator is a high-fidelity full motion driving simulator located in the Human Systems Engineering Lab in the Department of Industrial and Systems Engineering. The driving simulator allows for the presentation of 360 degree field of view through 8 large LED panels providing an immersive and realistic visual driving environment. The full motion capabilities of the simulator is facilitated through a 6 degree-of-freedom motion base providing motion and acceleration cues that can help reduce simulator sickness and allow for a more realistic driving experience. A vehicle cab (a quarter-cab setup) with realistic force feedback steering, a completely customizable LCD instrument panel, accelerator, brake, gearshift, signaling controls, and customizable buttons on the steering wheel and dashboard allows drivers to operate the simulated vehicle. The simulation is controlled through a control station located next to the motion base, that allows experimenters to monitor the status of the experiment and participants through digital displays of vehicle parameters, the simulated driving environment, videos of the participant, and voice communication. The UFADS is also equipped with a number of driver state sensors, including eye-trackers and other psychological sensors to help monitor driving visual attention and workload. The UFADS is also capable of supporting a number of Advanced Driving Assistance Systems, including adaptive cruise control, lane keeping, emergency braking, as well as partial, conditional, and fully automated driving.
Simulator Vehicle Cab
The Driving Simulator Lab houses a 4-door sedan allows the driver to operate normal accelerator, brake, steering, transmission selection, and signaling controls with the simulator responding accordingly. Longitudinal and lateral movement allows the driver to speed up or slow down, come to a halt, steer laterally including lane changes and changes of direction at intersections. All driver inputs are controlled by software that interfaces with the electronics in the car cab.
Human Behavior Observation Systems
Eye Tracking
Our labs have remote mounted and head mounted eye tracking units distributed across various labs including Tobii Pro Glasses, 3 Pupil headsets, 1 SMI ETG2 glasses, and Mirametrix S2 eye tracker; as well as a number of screen based eye trackers, including Tobii Nano and SMI RED-m.
Body and Gesture Tracking
Physiological and motion sensors can be used to assess the users’ state, including the Xsens MTw Awinda wireless motion tracker.
Interviews and Qualitative Observations
The Safety-Critical Systems User Experience (SCUSE) Facility is part of the Human Systems Engineering Lab in the Department of Industrial and Systems Engineering consisting of an experimental/observational room and a control room. The purpose of this facility is to conduct human subjects experiments, focus groups, and interviews.including experiment space and observation/analysis rooms. The facility is instrumented with video and audio capture devices including a set of 2 ceiling mounted PTZ cameras, 2 ceiling mounted cardioid condenser hanging microphones, 3 USB webcams, and a USB condenser microphone to capture video and audio data of user interactions. Video and audio data are synchronized with other data streams using the D-Lab data capture and analysis software suite. The experimental space consists of movable and customizable tables and chairs that can be configured into a conference table, office desk space, command and control center setups, and can also be removed and stored away to create a large open 300 sq. ft. space for VR and other studies that require movement
Virtual and Augmented Reality
Mixed reality interventions are designed and evaluated on a number of Virtual Reality (VR) and Augmented Reality (AR) platforms. Google Cardboard is a head-mounted display that uses a mobile phone for 3D stereoscopic rendering. Oculus DK2-SMI and Oculus CV1 are desktop head-mounted displays that require VR ready CPU and GPU for stereoscopic 3D rendering and connects over HDMI and USB. Oculus DK2-SMI integrates eye tracking with virtual reality.