A Deployable Architecture for Robot-Mediated Tasks (DART): Evaluation in Socially Assistive Robot-Guided Cognitive Behavioral Therapy Exercises

📅 2026-09-10
📈 Citations: 0
Influential: 0
📄 PDF
🤖 AI Summary
研究提出DART架构,通过网页应用和云基础设施增强社交辅助机器人的功能,以低成本支持认知行为疗法等复杂交互任务,实验验证了其有效性和可用性。
📝 Abstract
Socially assistive robots (SARs) can support structured health and well-being interventions, but hardware and cost constraints limit interaction complexity and longitudinal real-world deployments. We present DART: Deployable Architecture for Robot-Mediated Tasks, an architecture that extends SARs through a web application and cloud infrastructure, enabling visual content, user input, remote computation, and persistent data storage synergistically with the robot's physical embodiment, speech, and movement. We evaluated DART by instantiating it in an interatively-developed full-stack HRI system for helping university students with elevated generalized anxiety to complete cognitive behavioral therapy (CBT) homework exercises. The resulting system, which used the low-cost open-source Blossom robot platform, was refined and evaluated through a participatory design process and multiple user studies, and finally evaluated in an in-lab study with 103 participants, and then a six-week in-home deployment with four participants. In the in-lab evaluation, participants showed significant within-session reductions in stress, state anxiety, and negative affect, and gave the platform a mean System Usability Scale score of 78.89. In the home deployment, the mean System Usability Scale score was 87.5, with positive qualitative feedback on usability. Participants across both groups identified speech input, visual presentation, and web-robot synchronization as priorities for improvement. These findings validate DART as an effective architecture for extending the capabilities of a low-cost SAR in both in-lab single-session and in real-world longitudinal deployments.
Problem

Research questions and friction points this paper is trying to address.

Socially Assistive Robots
Cognitive Behavioral Therapy
Longitudinal Deployment
Innovation

Methods, ideas, or system contributions that make the work stand out.

Deployable Architecture
Robot-Mediated Tasks
Cloud Infrastructure
Socially Assistive Robots
Cognitive Behavioral Therapy
🔎 Similar Papers
No similar papers found.
💼 Related Jobs
No related jobs found.
Mina Kian
Mina Kian
University of Southern California
Socially Assistive RoboticsHuman-Robot InteractionNatural Language Processing
L
Lydia Ignatova
University of Southern California, Los Angeles, CA, USA
Jiong Wang
Jiong Wang
Universiteit Twente
remote sensingdata sciencegeoscienceurban sustainabilityurban climate
J
Ji Min Lee
University of Southern California, Los Angeles, CA, USA
J
Jiancheng Li
University of Southern California, Los Angeles, CA, USA
Q
Qianwei Guo
University of Southern California, Los Angeles, CA, USA
E
Emily Weiss
University of Southern California, Los Angeles, CA, USA
Amy O'Connell
Amy O'Connell
University of Southern California, Los Angeles, CA, USA
K
Kaitlin Zareno
University of Southern California, Los Angeles, CA, USA
Jiani Li
Jiani Li
Vanderbilt University
resilient consensusresilient distributed learning and optimizationmulti-agent systemsmulti-task networks
R
Reyna Patel
University of Southern California, Los Angeles, CA, USA
L
Leyaa George
University of Southern California, Los Angeles, CA, USA
M
Minyu Huang
University of Southern California, Los Angeles, CA, USA
J
Justin Yang
University of Southern California, Los Angeles, CA, USA
M
Maja J. Matarić
University of Southern California, Los Angeles, CA, USA