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

Himanshi Lalwani, Hanan Salam

TL;DR

The paper investigates a proof-of-concept social robot coaching system designed to enhance college students' productivity skills via six structured lessons on time management and prioritization. It combines a GPT-4 powered SAR, sentiment-aware adaptations, and a dashboard that tracks progress and mood to foster self-reflection. In a 15-participant study, the system achieved a SUS of 79.2 and high engagement, suggesting SAR-based coaching can be effective and scalable for improving student productivity. Limitations include participant composition and speech-to-text constraints, with future work aimed at broader, longitudinal validation and deeper personalization.

Abstract

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.

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

TL;DR

The paper investigates a proof-of-concept social robot coaching system designed to enhance college students' productivity skills via six structured lessons on time management and prioritization. It combines a GPT-4 powered SAR, sentiment-aware adaptations, and a dashboard that tracks progress and mood to foster self-reflection. In a 15-participant study, the system achieved a SUS of 79.2 and high engagement, suggesting SAR-based coaching can be effective and scalable for improving student productivity. Limitations include participant composition and speech-to-text constraints, with future work aimed at broader, longitudinal validation and deeper personalization.

Abstract

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.

Paper Structure

This paper contains 20 sections, 8 figures, 2 tables.

Figures (8)

  • Figure 1: On Left: Home Page. On Right: Introductory Interaction Page.
  • Figure 2: Lessons Page Layout featuring Navigation Menu on the left and Lesson Plan on the right.
  • Figure 3: Assessing students’ confidence in applying the strategy through a pop-up.
  • Figure 4: Dashboard Page Layout.
  • Figure 5: Experimental Setup.
  • ...and 3 more figures