Selected Projects

Kuri robot.

Social Robots and Virtual and Augmented Reality:

NRI: FND: Communicate, Share, Adapt: A Mixed Reality Framework for Facilitating Robot Integration and Customization

NSF #1925083

Maja Mataric, USC (Principal Investigator)
David M. Krum, Cal State LA (Co-Principal Investigator)

Successful integration of robots into society depends on both people and robots understanding how to communicate naturally and effectively with each other. This project will use virtual reality and augmented reality technologies to help people and robots to better understand each other before they meet in person.

During a Shared Virtual Teaching Experience (SVTE), human users will be able to interact with a virtual version of a robot using virtual reality and augmented reality technologies. The SVTE will help both the robot and the users learn how to communicate with each other, build trust and rapport by sharing information about themselves, and adapt based on what each learns from the other.

Person throwing ball.

Past Project:

Motor Adaptation and Learning in Variable Fidelity Virtual Environments

David M. Krum (Principal Investigator)
Sinhwa Kang (Co-Principal Investigator)

As interaction techniques involving scaling of motor space in virtual reality are becoming more prevalent, it is important to understand how individuals adapt to such scalings and how they re-adapt back to non-scaled norms.

This project examined how people adapt to addition and removal of a translational scaling while performing a task involving a targeted throwing of a ball. Findings suggest that humans can quickly adapt to scalings as long as timely visual feedback is made available to each person.

Virtual human.

Past Project:

Proxemics in Virtual Training

Sinhwa Kang (Principal Investigator)
David M. Krum (Co-Principal Investigator)

In this research, we examined whether haptic priming (presenting an illusion of virtual human touch at the beginning of the virtual experience) and different locomotion techniques (either joystick or physical walking) might affect proxemic behavior in human users.

The results of our study suggest that locomotion techniques can alter proxemic behavior in significant ways. Haptic priming did not appear to impact proxemic behavior, but did increase rapport and other subjective social measures. The results suggest that designers and developers of immersive training systems should carefully consider the impact of even simple design and fidelity choices on trainee reactions in social interactions.