Publications

# 2021

  • Taming fNIRS-based BCI Input for Better Calibration and Broader Use, L. Wang*, Z. Huang*, Z. Zhou, D.T. McKeon, G. Blaney, M.C. Hughes†, and R.J.K Jacob†, UIST2021. Proc. ACM UIST 2021 Symposium on User Interface Software and Technology (2021).

# 2019

  • Update of fNIRS as an input to brain–computer interfaces: a review of research from the Tufts Human–Computer Interaction Laboratory, Bosworth, Alexa, Matthew Russell, and Robert JK Jacob, Photonics. Vol. 6. No. 3. Multidisciplinary Digital Publishing Institute, 2019.

  • An Implicit Dialogue Injection System for Interruption Management, Shibata, Tomoki, et al. Proceedings of the 10th Augmented Human International Conference 2019. 2019.

# 2018

  • Measuring the neural correlates of mindfulness with functional near-infrared spectroscopy., Bergen-Cico, Dessa, et al. Empirical Studies of Contemplative Practices. Nova Science Publishers, Inc., 2018. 117.

# 2016

  • Text entry for ultra-small touchscreens using a fixed cursor and movable keyboard, Shibata, Tomoki, et al. Proceedings of the 2016 CHI Conference Extended Abstracts on Human Factors in Computing Systems. 2016.

  • Driftboard: A panning-based text entry technique for ultra-small touchscreens, Shibata, Tomoki, et al. Proceedings of the 29th Annual Symposium on User Interface Software and Technology. 2016.

  • Learn piano with BACh: An adaptive learning interface that adjusts task difficulty based on brain state, Yuksel, Beste F., et al. Proceedings of the 2016 CHI conference on human factors in computing systems. 2016.

# 2015

  • Phylter: a system for modulating notifications in wearables using physiological sensing，Afergan, Daniel, et al. International conference on augmented cognition. Springer, Cham, 2015.

  • Functional near-infrared spectroscopy for adaptive human-computer interfaces, Yuksel, Beste F., et al. Optical Tomography and Spectroscopy of Tissue XI. Vol. 9319. International Society for Optics and Photonics, 2015.

  • Braahms: a novel adaptive musical interface based on users' cognitive state, Yuksel, Beste F., et al. NIME. 2015.

  • Designing implicit interfaces for physiological computing: Guidelines and lessons learned using fNIRS., Treacy Solovey, Erin, et al. ACM Transactions on Computer-Human Interaction (TOCHI) 21.6 (2015): 1-27.

# 2014

  • Building implicit interfaces for wearable computers with physiological inputs: zero shutter camera and phylter, Shibata, Tomoki, et al. Proceedings of the adjunct publication of the 27th annual ACM symposium on User interface software and technology. 2014.

  • Brain-based target expansion, Afergan, Daniel, et al. Proceedings of the 27th annual ACM symposium on User interface software and technology. 2014.

  • Dynamic difficulty using brain metrics of workload, Afergan, Daniel, et al. Proceedings of the SIGCHI Conference on Human Factors in Computing Systems. 2014.

  • Using fNIRS to measure mental workload in the real world, Peck, Evan M., et al. Advances in physiological computing. Springer, London, 2014. 117-139.

# 2013

  • Using fNIRS brain sensing to evaluate information visualization interfaces, Peck, Evan M. M., et al. Proceedings of the SIGCHI Conference on Human Factors in Computing Systems. 2013.