Samantha Chan

Samantha is a PhD candidate at the Augmented Human Lab (AHLab) within the Auckland Bioengineering Institute, The University of Auckland. She completed her Bachelor’s Degree in Engineering (Engineering Product Development, Electrical Engineering) at Singapore University of Technology and Design (SUTD).

Her PhD research topic involves the development of digital systems to support and improve everyday memory. Her research interests include human-computer interaction, design and physiological sensing (skin conductance, heart-rate variability and eye-tracking).


  • Priyashri K. Sridhar, Samantha W.T. Chan, Yvonne Chua, Suranga Nanayakkara, "Going beyond performance scores: Understanding cognitive-affective states in Kindergarteners and application of framework in classrooms", in International Journal of Child-Computer Interaction, 2019, [DOI], [PDF]
  • Samantha W. T. Chan, Haimo Zhang, and Suranga Nanayakkara. 2019. Prospero: A Personal Wearable Memory Coach. In Proceedings of the 10th Augmented Human International Conference 2019 (AH2019), 26:1–26:5. [DOI], [PDF]
  • Thisum Buddhika, Haimo Zhang, Samantha W. T. Chan, Vipula Dissanayake, Suranga Nanayakkara, and Roger Zimmermann. 2019. fSense: Unlocking the Dimension of Force for Gestural Interactions Using Smartwatch PPG Sensor. In Proceedings of the 10th Augmented Human International Conference 2019 (AH2019), 11:1–11:5. [DOI], [PDF]
  • Samitha Elvitigala, Samantha W. T. Chan, Noura Howell, Denys J.C. Matthies, and Suranga Nanayakkara. 2018. Doodle Daydream: An Interactive Display to Support Playful and Creative Interactions Between Co-workers. In Proceedings of the Symposium on Spatial User Interaction (SUI '18). ACM, New York, NY, USA, 186-186. [DOI], [PDF]
  • Priyashri K. Sridhar, Samantha W. T. Chan, and Suranga Nanayakkara. 2018. Going beyond performance scores: understanding cognitive-affective states in kindergarteners. In Proceedings of the 17th ACM Conference on Interaction Design and Children (IDC '18). ACM, New York, NY, USA, 253-265. [DOI], [URL], [PDF]