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However, the scenario is typically fixed and the resulting data are usually analysed only once the VR experience has ended. The laboratory-controlled setup makes it straightforward to collect multi-modal data and compare the responses across different experimental conditions. Virtual reality (VR) affords the study of the behaviour of people in social situations that would be logistically difficult or ethically problematic in reality. Our results demonstrate that users experience significantly more trust, believability, and emotional response when teaching the robot than when observing it learning, which can be amplified with agent expressiveness. In a 2x2 experiment (N=160), we varied the agent's learning technique (user reinforcement feedback or robot self-learning) and expressiveness (static agent face or performance-based valence expression with head following), using an online WebGL virtual environment to enable remote HRI. In this study, we consider how teaching a skill to a robot arm, performing a reaching task (as opposed to observing the robot self-learning), influences a user's emotional experience and perceptions of the robot. However, there have been few investigations about what it is like for the people teaching these robots. Many studies over the past decade have begun demonstrating reproducible robot teaching methodologies and have highlighted benefits in human-robot interaction (HRI). Robots are being taught by increasingly broader populations of people who provide training data for machine learning algorithms. We conclude with considerations of future work for iVR physical therapy games that adapt to biometric response. Our results suggest that the iVR game was an effective medium in inducing high compliance, physical performance, and biometric changes even with increasing difficulty beyond the novelty effect period.

#HOW TO DOWNLOAD IB GAME STEP BY STEP SKIN#

We assess user experiences through a mixture of biomarkers from brainwave, heart rate, and galvanic skin response recorded at runtime as well as motion capture and behavioral game data.

We examine how our program maintains engagement and motivation over eight weeks, where users completed bi-weekly prescribed movements framed as protecting a virtual butterfly. We demonstrate the capabilities of our game through a case study with five users recovering from upper-extremity injuries. This paper presents a serious game for iVR HMD based long term upper-extremity exercise. Immersive Virtual Reality (iVR) Head-Mounted Display (HMD) systems paired with serious exercise games can positively augment physical rehabilitation process from both engagement and analytics perspectives.

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