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We are seeking new members to join our team!

About us

The HCI-VIS Lab at the University of Massachusetts Amherst conducts both fundamental and applied research at the intersection of HCI and Visualization. The mission of our Lab is to augment the abilities of individuals and groups to understand data and solve complex problems. We develop novel visualization and interaction techniques to facilitate data analysis, communication, and exploration. Additionally, we build community-centered tools to address real-world sociotechnical problems in domains such as civics and healthcare.

Focus & Excellence

The lab focuses its research on socially impactful technologies and techniques that include marginalized perspectives and empower data-informed decision-making. We value interdisciplinary work and utilize human-centered methods to understand people and design for them.

Culture

We strive to build an inclusive and human-centered environment where we value everyone’s unique properties, values, orientations towards meeting excellence in research. We commit to building a supportive and healthy community where we help each other by providing continuous feedback for improvements, participating in active collaboration and research, and celebrating our achievements.

Recent Publications

CommunityClick: Capturing and Reporting Community Feedback from Town Halls to Improve Inclusivity
Mahmood Jasim, Pooya Khaloo, Somin Wadhwa, Amy X. Zhang, Ali Sarvghad, Narges Mahyar.
CSCW 2020
Paper

The Curse of Knowledge in Visual Data Communication
Cindy Xiong, Lisanne Van Weelden, Steven Franconeri.
TVCG 2020
Paper

Designing Technology for Sociotechnical Problems: Challenges & Considerations
Narges Mahyar, Mahmood Jasim, Ali Sarvghad.
CG&A 2020
Paper

How to Evaluate Data Visualizations across Different Levels of Understanding
Alyxander Burns, Cindy Xiong, Steven Franconeri, Alberto Cairo, Narges Mahyar.
BELIV 2020
Paper

Rehabilitation Games in Real-World Clinical Settings: Practices, Challenges, and Opportunities
Hee-Tae Jung, Taiwoo Park, Narges Mahyar, Sungji Park, Taekyeong Rye, Yangsoo Kim, Sunghoon Ivan Lee
TOCHI 2020
Paper

The Civic Data Deluge: Understanding the Challenges of Analyzing Large-Scale Community Input
Narges Mahyar, Diana Nguyen, Maggie Chan, Jiayi Zheng, Steven Dow
DIS 2019
Paper

CommunityCrit: Inviting the Public to Improve and Evaluate Urban Design Ideas through Micro-Activities
Narges Mahyar, Michael James, Michelle Ng, Reginal Wu, Steven Dow
CHI 2018
Paper

Embedded Merge & Split: Visual Adjustment Of Data Grouping
Ali Sarvghad, Bahador Saket, Alex Endert, Nadir Weibel
TVCG 2018
Paper