I am a Research Scientist in Human-Computer Interaction (HCI) at the Persuasive Technology Lab in the University of Lausanne, Switzerland, where I also earned my PhD degree in Information Systems.
My research lies at the intersection of HCI and programming learning. I am particularly interested in how people learn programming and how social contexts shape their learning experiences—especially their regulation of learning, at both individual and collective levels. I design and study user-centred learning tools that leverage social context to encourage collaboration, support collective initatives, and help learners effectively regulate and enrich their programming learning processes.
I have completed my Masters in Human-Computer Interaction Design from City, University of London. Prior to that I did my graduation in Computer Science & Engineering and started my career as a Technology Engineer with Cognizant in India.
You can reach me at : Lahari.Goswami@unil.ch
For more information, visit my personal site : https://laharigoswami.com
Publications:
Lahari Goswami. 2025. Supporting Social Modes of Regulation and Motivation in Introductory Programming Classrooms. PhD Thesis. Université de Lausanne, Faculté des hautes études commerciales [LINK]
Lahari Goswami, Alexandre Senges, Thibault Estier, and Mauro Cherubini. 2023. Supporting Co-Regulation and Motivation in Learning Programming in Online Classrooms. Proc. ACM Hum.-Comput. Interact. 7, CSCW2, Article 298 (October 2023), 29 pages. [DOI]
Lahari Goswami, Pegah Sadat Zeinoddin, Thibault Estier, and Mauro Cherubini. 2023. Supporting Collaboration in Introductory Programming Classes Taught in Hybrid Mode: A Participatory Design Study. In Designing Interactive Systems Conference (DIS ’23), July 10–14, 2023, Pittsburgh, PA, USA. ACM, New York, NY, USA, 15 pages. [DOI]
Kavous Salehzadeh Niksirat, Lahari Goswami, Pooja S. B. Rao, James Tyler, Alessandro Silacci, Sadiq Aliyu, Annika Aebli, Chat Wacharamanotham, and Mauro Cherubini. 2023. Changes in Research Ethics, Openness, and Transparency in Empirical Studies between CHI 2017 and CHI 2022. In Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems (CHI ’23), April 23–28, 2023, Hamburg, Germany. ACM, New York, NY, USA, 23 pages. [DOI]
Chat Wacharamanotham, Yvonne Jansen, Amelia A McNamara, Kasper Hornbæk, Judy Robertson, Lahari Goswami. 2023. Transparent Quantitative Research as a User Interface Problem (Dagstuhl Seminar 22392). Dagstuhl Reports, Vol. 12, No. 9. Schloss Dagstuhl-Leibniz-Zentrum für Informatik. [DOI]
