Rate My Professor Jorge Goncalves
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Inspires growth and curiosity in every student.
Creates a collaborative and inclusive space.
Makes learning feel rewarding and fun.
Makes learning feel effortless and fun.
Great Professor!
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About Jorge
Jorge Goncalves is an Associate Professor in Human-Computer Interaction within the School of Computing and Information Systems at the University of Melbourne, part of the Faculty of Engineering and Information Technology. He earned his PhD with distinction in Computer Science and Engineering from the University of Oulu in 2015, with a thesis titled "Situated Crowdsourcing: Feasibility, Performance and Behaviours." He previously obtained his MSc in Computer Science and Engineering in 2011 and BSc in Software Engineering in 2009 from the Madeira Interactive Technologies Institute at the University of Madeira, Portugal. Goncalves joined the University of Melbourne as a Lecturer in April 2017, advanced to Senior Lecturer in September 2019, and was promoted to Associate Professor in January 2023. Prior to this, he held positions as Postdoctoral Researcher from September 2015 to March 2017 and Research Scientist from February 2012 to August 2015 at the Center for Ubiquitous Computing, University of Oulu. Earlier roles include Research Assistant at the University of Madeira and various visiting researcher positions at institutions such as the University of Tokyo, Pukyong National University, and ifuplan.
Goncalves's research focuses on human-computer interaction, situated crowdsourcing, ubiquitous computing, social computing, affective computing, digital emotion regulation, and human-AI collaboration. He has garnered significant recognition, including the 2020 Amazon Research Award for developing an integrated qualification test framework to measure crowd worker quality and assign heterogeneous tasks; Best Paper Award at CHI 2021; Honorable Mention Awards at CHI 2021, CHI 2025 (two papers), and others; Excellence Award in Mid-Career Research from the Faculty of Engineering and IT in 2022; and Research Excellence Award from the School of Computing and Information Systems in 2021. Notable publications include "How Do HCI Researchers Study Cognitive Biases? A Scoping Review" (CHI 2025, Honorable Mention), "‘It’s Not the AI’s Fault Because It Relies Purely on Data’: How Causal Attributions of AI Decisions Shape Trust in AI Systems" (CHI 2025, Honorable Mention), "The Impact of Human-Likeness and Self-Disclosure on Message Acceptance in Virtual AI Influencers" (DIS 2025), "The Influence of Content Modality on Perceptions of Online Misinformation" (CHI 2025), and his PhD thesis "Situated Crowdsourcing: Feasibility, Performance and Behaviours" (2015). His contributions have advanced HCI through high-impact work at premier venues like CHI, UbiComp, and INTERACT.
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