Rosa Arriaga

About

Dr. Rosa Arriaga is a Human Computer Interaction (HCI) researcher in the School of Interactive Computing at Georgia Tech. She uses psychological concepts, theories, and methods to address fundamental topics of HCI and Social Computing. Her current research interests are in the area of chronic care management and mental health. She designs mHealth systems that address gaps in chronic care and mental health management. The computational systems she designs foster engagement, facilitate continuity of care, promote patient self-advocacy, and mediate communication between patients and healthcare providers.

Research topics

• Computer Science
• Psychology
• Artificial Intelligence
• Applied psychology
• Geography
• Multimedia
• Cognitive science
• Human–computer interaction

Selected publications

• Using Large Language Models to Simulate Multiple Humans and Replicate Human Subject Studies

  arXiv (Cornell University) · 2022 · 124 citations

  We introduce a new type of test, called a Turing Experiment (TE), for evaluating to what extent a given language model, such as GPT models, can simulate different aspects of human behavior. A TE can also reveal consistent distortions in a language model's simulation of a specific human behavior. Unlike the Turing Test, which involves simulating a single arbitrary individual, a TE requires simulating a representative sample of participants in human subject research. We carry out TEs that attempt…

  DOI

• ZenVR: Design Evaluation of a Virtual Reality Learning System for Meditation

  CHI Conference on Human Factors in Computing Systems · 2022 · 54 citations

  Senior authorCorresponding

  Meditation has become a popular option to manage stress. Though studies examine technologies to assist in meditation, few explore how technology supports development of such skills for independent practice. From a two-phase mixed-methods study, we contribute learner-centered insights from 36 participants in a virtual reality environment designed to teach meditation skills to novices. In Phase I, we gathered affective and behavioral learner needs from 21 meditation novices, experts, and instructo…

  DOI

• Using Diaries to Probe the Illness Experiences of Adolescent Patients and Parental Caregivers

  2020 · 53 citations

  Adolescents with chronic conditions must work with family caregivers to manage their illness experiences. To explore how technology can support collaborative documentation of these experiences, we designed and distributed a paper diary probe kit in a two-week field deployment with 12 adolescent-parent dyads (24 participants). Three insights emerged from the study that highlight how technology can support shared illness management: 1) provide scaffolds to recognize physical and emotional experien…

  DOI

• There's No "I" in TEAMMAIT: Impacts of Domain and Expertise on Trust in AI Teammates for Mental Health Work

  Proceedings of the ACM on Human-Computer Interaction · 2025-05-02 · 5 citations

  articleOpen accessSenior author

  The mental health crisis in the United States spotlights the need for more scalable training for mental health workers. While present-day AI systems have sparked hope for addressing this problem, we must not be too quick to incorporate or solely focus on technological advancements. We must ask empirical questions about how to ethically collaborate with and integrate autonomous AI into the clinical workplace. For these Human-Autonomy Teams (HATs), poised to make the leap into the mental health do…

  PublisherDOI

• Artificial Intelligence as a Feedback Teammate for Treatment Delivery: Cognitive Behavioral Therapists’ Hopes and Fears

  Cognitive and Behavioral Practice · 2025-07-01 · 5 citations

  articleOpen access

  • Limited attention has been given to clinicians’ perspectives on artificial intelligence teammates in mental health work. • We explore clinicians’ positive and negative reactions to an AI feedback teammate. • We conduct a qualitative survey of 84 self-identified CBT practitioners. • Participants are most concerned about recording (e.g. confidentiality and privacy). • Participants are most excited about having feedback (e.g. fast, frequent feedback). In response to the gap in mental healthcare a…

  PublisherDOI

Recent grants

• SCH: INT:Prolonged Exposure Collective Sensing System (PECSS) for PTSD

  NSF · $1.2M · 2019–2025

Frequent coauthors

• Gregory D. Abowd

  Northeastern University

  34 shared

• Keiichi Yasumoto

  Nara Institute of Science and Technology

  25 shared

• Hwajung Hong

  11 shared

• U. K. Lakshmi

  10 shared

• Jennifer Mankoff

  University of Washington

  9 shared

• Fatima A. Boujarwah

  Kuwait University

  8 shared

• Tae-Jung Yun

  Samsung (South Korea)

  7 shared

• Hayley I. Evans

  Georgia Institute of Technology

  7 shared

Education

• Ph.D., Computer Science

  Massachusetts Institute of Technology

  1992

• M.S., Computer Science

  Massachusetts Institute of Technology

  1988

• B.S., Computer Science

  University of Texas at Austin

  1985

Similar researchers at Georgia Institute of Technology

• Frank Dellaerth-65
• Mark Borodovskyh-64
• Irfan Essah-63