Jack Chang
Papers
1
Total Citations
3
H-Index
1
About
Jack Chang is a researcher at the intersection of human-robot interaction and telepresence technology, with a focus on how design choices shape user experience and remote collaboration. His most cited work, "Third Eye: Exploring the Affordances of Third-Person View in Telepresence Robots" (2019), introduces a novel perspective on robotic teleoperation by investigating how a third-person viewpoint can enhance spatial awareness and navigation for remote users. This contribution is particularly significant for improving the usability of telepresence robots in dynamic environments, such as healthcare or education, where operators must maintain situational control. Although early in his career, Chang’s research has already garnered attention, with his flagship paper accumulating 3 citations—a promising start that signals growing interest in his innovative approach. By challenging conventional first-person designs, he opens new avenues for more intuitive and effective human-robot interfaces. Chang’s work is essential reading for students and researchers exploring the cognitive and perceptual dimensions of remote presence, offering a foundation for future studies on how perspective-taking can bridge the gap between human operators and robotic agents.
Research Focus
Key Achievements
Top Papers
- 1