ROAIHCNov 30, 2025

Supporting Productivity Skill Development in College Students through Social Robot Coaching: A Proof-of-Concept

arXiv:2512.01105v12 citationsh-index: 2RO-MAN
Originality Incremental advance
AI Analysis

This addresses productivity challenges for college students, offering a scalable alternative to traditional coaching, though it is incremental as a proof-of-concept.

The study tackled the problem of low productivity in college students by developing a social robot coach that delivered lessons on time management and task prioritization, achieving a System Usability Score of 79.2 and high engagement ratings in a proof-of-concept evaluation with 15 students.

College students often face academic challenges that hamper their productivity and well-being. Although self-help books and productivity apps are popular, they often fall short. Books provide generalized, non-interactive guidance, and apps are not inherently educational and can hinder the development of key organizational skills. Traditional productivity coaching offers personalized support, but is resource-intensive and difficult to scale. In this study, we present a proof-of-concept for a socially assistive robot (SAR) as an educational coach and a potential solution to the limitations of existing productivity tools and coaching approaches. The SAR delivers six different lessons on time management and task prioritization. Users interact via a chat interface, while the SAR responds through speech (with a toggle option). An integrated dashboard monitors progress, mood, engagement, confidence per lesson, and time spent per lesson. It also offers personalized productivity insights to foster reflection and self-awareness. We evaluated the system with 15 college students, achieving a System Usability Score of 79.2 and high ratings for overall experience and engagement. Our findings suggest that SAR-based productivity coaching can offer an effective and scalable solution to improve productivity among college students.

Foundations

The foundational work for this paper's niche, ranked by how specifically the neighbourhood builds on it — not by global fame.

Your Notes