Hello!
I'm a 6th year PhD student at Carnegie Mellon University in the School of Computer Science and the Human Computer Interaction Institute (HCII). I work with Dr. Niki Kittur (HCII) and Dr. Anita Woolley (Tepper School of Business, Organizational Behavior and Theory). I've also had the opportunity to study and research in various capacities at University of Pittsburgh's School of Health and Rehabilitation Sciences (SHRS)/CEM Paramedic Program and Department of Emergency Medicine (EM).
My research focuses on creating and studying technology that helps people (and non-human teammates such as AI agents and other cognitive tools) support one another as an effective team. This is especially useful when team members don't know each other, aren't experts, or need to work asynchronously. In my work as an HCI researcher, I prototype technical systems (and interactions) and evaluate them through user and deployment studies. Additionally, I design experiments that help characterize existing user behavior, identify opportunities for technical systems, and quantify the impact of potential interventions.
I approach research projects by combining my technical background as a computer scientist with theory from the cognitive, social, and organizational sciences. Depending on the project, I also integrate my clinical and practical experience in prehospital emergency medicine and EMS systems. This guides me in building prototypes of future collaboration and coordination systems, and studying how to best help individuals collect, process, and re-use information (sensemaking) in ways that are feasible and deployable. I am particularly interested in technology that supports healthcare teams, both in acute care settings (such as the ED) and chronic care settings (such as home healthcare).
More recently, I work on studying and improving collaboration and knowledge sharing within the home healthcare setting as part of the NSF AI-CARING AI Institute The institute aims to aims to develop the next generation of personalized collaborative AI systems that improve the quality of life and independence of aging adults living at home.
Previously, I've worked at the The Wikimedia Foundation (with a focus on Wikipedia) and Amazon, more specifically Amazon Mechanical Turk.
Alongside graduate school, I have a passion for pre-hospital emergency medicine and have remained an active EMS responder during my five years in Pittsburgh. I started soon after arriving in the Steel City, and worked as an EMS provider with several different ambulance services in the Pittsburgh-area, before beginning my journey as a paramedic as part of The Center for Emergency Medicine.
Before coming to Pittsburgh, I graduated from the University of Illinois Urbana-Champaign with a B.S. in Computer Science and previously interned at Techstars Chicago and several small web development firms.
Outside of work, I write grad school-related guides and opportunity trackers, run a suspicious amount, and volunteer at a local EMS agency.
Contact
[kuz] at cmu (dot) edu
Resume
I'm a 6th year PhD student at Carnegie Mellon University in the School of Computer Science and the Human Computer Interaction Institute (HCII). I work with Dr. Niki Kittur (HCII) and Dr. Anita Woolley (Tepper School of Business, Organizational Behavior and Theory). I've also had the opportunity to study and research in various capacities at University of Pittsburgh's School of Health and Rehabilitation Sciences (SHRS)/CEM Paramedic Program and Department of Emergency Medicine (EM).
My research focuses on creating and studying technology that helps people (and non-human teammates such as AI agents and other cognitive tools) support one another as an effective team. This is especially useful when team members don't know each other, aren't experts, or need to work asynchronously. In my work as an HCI researcher, I prototype technical systems (and interactions) and evaluate them through user and deployment studies. Additionally, I design experiments that help characterize existing user behavior, identify opportunities for technical systems, and quantify the impact of potential interventions.
I approach research projects by combining my technical background as a computer scientist with theory from the cognitive, social, and organizational sciences. Depending on the project, I also integrate my clinical and practical experience in prehospital emergency medicine and EMS systems. This guides me in building prototypes of future collaboration and coordination systems, and studying how to best help individuals collect, process, and re-use information (sensemaking) in ways that are feasible and deployable. I am particularly interested in technology that supports healthcare teams, both in acute care settings (such as the ED) and chronic care settings (such as home healthcare).
More recently, I work on studying and improving collaboration and knowledge sharing within the home healthcare setting as part of the NSF AI-CARING AI Institute The institute aims to aims to develop the next generation of personalized collaborative AI systems that improve the quality of life and independence of aging adults living at home.
Previously, I've worked at the The Wikimedia Foundation (with a focus on Wikipedia) and Amazon, more specifically Amazon Mechanical Turk.
Alongside graduate school, I have a passion for pre-hospital emergency medicine and have remained an active EMS responder during my five years in Pittsburgh. I started soon after arriving in the Steel City, and worked as an EMS provider with several different ambulance services in the Pittsburgh-area, before beginning my journey as a paramedic as part of The Center for Emergency Medicine.
Before coming to Pittsburgh, I graduated from the University of Illinois Urbana-Champaign with a B.S. in Computer Science and previously interned at Techstars Chicago and several small web development firms.
Outside of work, I write grad school-related guides and opportunity trackers, run a suspicious amount, and volunteer at a local EMS agency.
Contact
[kuz] at cmu (dot) edu
Resume
Research Papers
Fuse: In-Situ Sensemaking Support in the Browser
A Kuznetsov, J Chang, N Hahn, N Rachatasumrit, B Breneisen, J Coupland, A Kittur
UIST 2022
Wigglite: Low-cost Information Collection and Triage
M Liu, A Kuznetsov, Y Kim, J Chang, A Kittur, B Myers
UIST 2022
Templates and Trust-o-meters: Towards a widely deployable indicator of trust in Wikipedia.
A Kuznetsov, M Novotny, J Klein, D Saez-Trumper, A Kittur
CHI 2022
