Ph.D. Candidate in Human-Centered Computing

Hi, I'm Rodrigo Calvo

Experienced Software Developer and Researcher with 6+ years of combined experience driving innovation in software development and human-centered computing. Exploring how virtual agents can be made more trustworthy, appropriate, and engaging for various applications.

Rodrigo Calvo
About Me

Bridging Research & Development

Combining academic inquiry with practical software development to create more human-centered technologies.

I'm a Ph.D. candidate in Human-Centered Computing at the University of Florida, where I focus on making Embodied Virtual Agents more human-like and responsive to user needs. My research explores how these agents can understand and respond to human emotions, preferences, and behaviors, creating interactions that feel natural and meaningful.

With a Master's in Computer Science from the University of Florida and a Bachelor's in Computer Science from Utah State University, I bring a strong technical foundation to my research in human-agent interaction. I'm particularly interested in using machine learning to enhance the adaptability and emotional intelligence of virtual agents, designing for diverse user needs and abilities.

Research Focus

  • Embodied Virtual Agents
  • Human-Agent Interaction
  • AR/VR Applications
  • Physiological Computing
  • Task Guidance Systems

Technical Expertise

  • JavaScript/React/Node.js
  • Java/MySQL/HTML/CSS
  • Unity & MRTK
  • AR/VR Development
  • SQL and NoSQL Databases
Research Interests

Current Investigations

Exploring the frontiers of human-agent interaction and emotionally intelligent systems.

Trustworthy Virtual Agents

I research how to make virtual agents more trustworthy, appropriate, and engaging across various applications. My current work includes companion agents where I analyze conversation patterns and user behaviors, exploring how these agents can provide meaningful interaction while positively influencing user experience.

Physiological Computing

Using machine learning models to analyze physiological signals for predicting interruptibility and cognitive load states. My research in this area has achieved 72.5% accuracy in predicting optimal moments for system interruptions, enhancing the responsiveness of intelligent interfaces to human cognitive states.

AR Task Guidance Systems

I've developed augmented reality task guidance systems for the HoloLens 2, focusing on cooking applications. This research explores how spatial computing can provide intuitive assistance for complex sequential tasks while respecting user autonomy and accommodating different skill levels.

Academic Work

Selected Publications

Recent contributions to the academic discourse on human-centered computing.

2025
Conference

Exploring Users' Perceptions on Position, Gaze Direction, and Gender of Virtual Agents in Augmented Reality

Calvo, R., Wang, H., Barquero, A., & Ruiz, J.

Proceedings of Graphics Interface 2025

This study examines user preferences for virtual agent configurations in AR headsets. With 48 participants using the Microsoft HoloLens 2, we tested various agent positions, sizes, and gaze directions. Results showed a preference for male agents, while no consistent preference emerged for position or gaze direction, contributing to design guidelines for virtual agents in AR environments.

2024
Conference

Understanding User Needs for Task Guidance Systems Through the Lens of Cooking

Barquero, A.*, Calvo, R.L.*, Delgado, D.A.*, Wang, I., Anthony, L., & Ruiz, J. (*Equal Contribution)

Proceedings of the 2024 ACM Designing Interactive Systems Conference (DIS '24), pp. 2006-2018

This study examines user needs for task guidance systems through contextual inquiry in home kitchens. Through affinity diagramming of observations, we identified common obstacles and established user needs in object interaction, safety, knowledge base, and task coordination. These findings inform the design of technology-driven solutions for task guidance systems beyond cooking contexts.

2023
Conference

Stop Copying Me: Evaluating nonverbal mimicry in embodied motivational agents

Wang, I., Calvo, R., Wang, H., & Ruiz, J.

Proceedings of the 23rd ACM International Conference on Intelligent Virtual Agents, pp. 1-4

This study examines how nonverbal mirroring affects a virtual agent's motivational effectiveness. Comparing three agent types, we found the mirroring agent was more motivating than a non-responsive agent, though awareness of mimicry could trigger negative user reactions, highlighting important considerations for designing virtual agent behaviors.

Personal Development Projects

Creative Explorations

Side projects where I experiment with new technologies and pursue creative coding challenges.

Viaja Ahora Disfruta (VAD)

An Airbnb-inspired platform designed specifically for the Bolivian market, connecting travelers with local accommodations throughout Bolivia.

Node.js Express Firebase

AyudemosYa

A crowdfunding platform tailored for Bolivian communities with integrated local payment methods, enabling support for community initiatives and projects.

Node.js Express Firebase

Evalue Website

Developed and maintained a responsive website for Evalue, a financial consulting firm. Ensured cross-device compatibility and implemented SEO best practices.

HTML/CSS JavaScript SEO

Frogger

Web version of popular arcade game Frogger

HTML CSS JavaScript

Lunar Lander

Web version of popular arcade game Lunar Lander.

HTML CSS JavaScript

Maze Game

Web version of maze game.

HTML CSS JavaScript
Get in Touch

Let's Connect

I'm always interested in collaborations, questions about my research, or just a good conversation.

Computer Information Science & Engineering
University of Florida
Gainesville, FL