Diego Gómez-Zará

schoolUniversity of Notre Damebar_chart#930 Global Rank

Total Papers

HCI Rank

#930

Research Areas

Years Active

Personal Information

KeywordsTeam formation technologiesnetwork researchXR
OrganizationNorthwestern University
Emaildgomezara@u.northwestern.edu

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Biography

Diego Gomez-Zara is a researcher at Northwestern University, specializing in team formation technologies, network research, and extended reality (XR). He is dedicated to providing new insights for academia and the tech field by studying team behavior and network interactions. His work has surpassed 500 citations, demonstrating his academic influence. Through mentoring students and research teams, he hopes to continually contribute to the community and research field.

Work Experience

No specific work experience information available.

Education

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This biography was generated by AI from publicly available information and may contain delays or inaccuracies.

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https://hci.top/en/authors/15827?source=all

Diego Gómez-Zará

Personal Information

Social Media & Links

Biography

Work Experience

Education

Recent Publications

The Behavioral Fabric of LLM-Powered GUI Agents: Human Values and Interaction Outcomes

What Remotely Matters? Understanding Individual, Team, and Organizational Factors in Remote Work at Scale

When Technologies Are Not Enough: Understanding How Domestic Workers Employ (and Avoid) Online Technologies in Their Work Practices

Breaking the Familiarity Bias: Employing Virtual Reality Environments to Enhance Team Formation and Inclusion

Virtual Threads: A Systematic Literature Review of 10 Years of VR/AR/MR Adoption in Fashion Design

A Taxonomy of Team-Assembly Systems: Understanding How People Use Technologies to Form Teams

The Impact of Displaying Diversity Information on the Formation of Self-assembling Teams

Joining together online: The trajectory of CSCW scholarship on group formation

Who Would You Like to Work With?

Who is the hero, the villain, and the victim? Detection of roles in news articles using natural language techniques

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