Samantha Chan

PhD Candidate

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). Formerly an undergraduate researcher at SUTD-Massachusetts Institute of Technology International Design Center.

Her PhD topic is titled: “Biosignal-Sensitive Memory Improvement and Support Systems”. Her work explores the use “biosignals” or “physiological signals” (natural body signals and responses), such as heart-rate variability, skin conductance and eye-movements to peer deeper into users’ internal context and cognitive states, providing just-in-time delivery of memory interventions.

Personal page: www.swtchan.com

Publications

Cao, J., Chan, S.W.T., Garbett, D.L., Denny, P., Nassani, A., Scholl, P.M. and Nanayakkara, S.C., 2021. Sensor-Based Interactive Worksheets to Support Guided Scientific Inquiry. In Interaction Design and Children (IDC ’21), June 24–30, 2021, Athens, Greece. ACM, New York, NY, USA, 7 pages. Best Short Paper Award!

Chan, S. W. T., Gunasekaran, T., Pai, Y. S., Zhang, H. and Nanayakkara, S.C. 2021. KinVoices: Using Voices of Friends and Family in Voice Interfaces. Proc. ACM Hum.-Comput. Interact. 5, CSCW2, Article 446 (October 2021), 25 pages.

Chan, S.W., Sapkota, S., Mathews, R., Zhang, H. and Nanayakkara, S.C., 2020. Prompto: Investigating Receptivity to Prompts Based on Cognitive Load from Memory Training Conversational Agent. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies, 4(4), pp.1-23.

Chan, S. W. T. 2020. Biosignal-Sensitive Memory Improvement and Support Systems. In Extended Abstracts of the 2020 CHI Conference on Human Factors in Computing Systems Extended Abstracts (CHI ’20). Association for Computing Machinery, New York, NY, USA, 1–7.

Chan, S.W., Zhang, H. and Nanayakkara, S.C., 2019, March. Prospero: A Personal Wearable Memory Coach. In Proceedings of the 10th Augmented Human International Conference 2019 (pp. 1-5).

Chan, S.W., Buddhika, T., Zhang, H. and Nanayakkara, S.C., 2019. ProspecFit: In Situ Evaluation of Digital Prospective Memory Training for Older Adults. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies, 3(3), pp.1-20.

Sridhar, P.K., Chan, S.W., Chua, Y., Quin, Y.W. and Nanayakkara, S.C., 2019. Going beyond performance scores: Understanding cognitive-affective states in Kindergarteners and application of framework in classrooms. International Journal of Child-Computer Interaction, 21, pp.37-53.

Buddhika, T., Zhang, H., Chan, S.W., Dissanayake, V., Nanayakkara, S.C. and Zimmermann, R., 2019, March. fSense: unlocking the dimension of force for gestural interactions using smartwatch PPG sensor. In Proceedings of the 10th Augmented Human International Conference 2019 (pp. 1-5).

Sridhar, P. K., Chan, S. W. T. and Nanayakkara, S.C., 2018. Going beyond performance scores: understanding cognitive-affective states in kindergarteners. In Proceedings of the 17th ACM Conference on Interaction Design and Children (pp. 253-265). ACM.

Elvitigala, S., Chan, S.W., Howell, N., Matthies, D.J. and Nanayakkara, S.C., 2018, October. Doodle Daydream: An Interactive Display to Support Playful and Creative Interactions Between Co-workers. In Proceedings of the Symposium on Spatial User Interaction (pp. 186-186).