RoboCOP

Author:

Trinh H.1,Asadi R.1,Edge D.2,Bickmore T.1

Affiliation:

1. Northeastern University

2. Microsoft Research

Abstract

Rehearsing in front of a live audience is invaluable when preparing for important presentations. However, not all presenters take the opportunity to engage in such rehearsal, due to time constraints, availability of listeners who can provide constructive feedback, or public speaking anxiety. We present RoboCOP, an automated anthropomorphic robot head that acts as a coach to provide spoken feedback during presentation rehearsals at both the individual slide and overall presentation level. The robot offers conversational coaching on three key aspects of presentations: speech quality, content coverage, and audience orientation. The design of the feedback strategies was informed by findings from an exploratory study with academic professionals who were experienced in mentoring students on their presentations. In a within-subjects study comparing RoboCOP to visual feedback and spoken feedback without a robot, the robotic coach was shown to lead to significant improvement in the overall experience of presenters. Results of a second within-subjects evaluation study comparing RoboCOP with existing rehearsal practices show that our system creates a natural, interactive, and motivating rehearsal environment that leads to improved presentation quality.

Funder

National Science Foundation

Publisher

Association for Computing Machinery (ACM)

Subject

Computer Networks and Communications,Hardware and Architecture,Human-Computer Interaction

Cited by 34 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. ‘Um, so like, is this how I speak?’: design implications for automated visual feedback systems on speech;Behaviour & Information Technology;2023-11-09

2. "Enjoy, but Moderately!": Designing a Social Companion Robot for Social Engagement and Behavior Moderation in Solitary Drinking Context;Proceedings of the ACM on Human-Computer Interaction;2023-09-28

3. What Do People Think of Social Robots and Voice Agents as Public Speaking Coaches?;2023 32nd IEEE International Conference on Robot and Human Interactive Communication (RO-MAN);2023-08-28

4. Improving Multiparty Interactions with a Robot Using Large Language Models;Extended Abstracts of the 2023 CHI Conference on Human Factors in Computing Systems;2023-04-19

5. Multimodal Transfer Learning for Oral Presentation Assessment;IEEE Access;2023

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