Publications

🏆 Best Paper Award
Learn Piano with BACh: An Adaptive Learning Interface that Adjusts Task Difficulty based on Brain State
Yuksel, B.F., Oleson, K.B., Peck, E.M., Harrison, L., Afergan, D., Chang, R., & Jacob, R.J.K.
Proc. ACM CHI 2016, ACM Press (2016).
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🏅 Best Paper Award Honorable Mention
Dynamic Difficulty Using Brain Metrics of Workload
Afergan, D., Peck, E.M., Solovey, E.T., Jenkins, A., Hincks, S.W., Brown, E.T., Chang, R., & Jacob, R.J.K.
Proc. ACM CHI 2014, ACM Press (2014).
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Brain-Based Target Expansion
Afergan, D., Shibata, T., Hincks, S.W., Peck, E.M., Yuksel, B.F., Chang, R., & Jacob, R.J.K.
Proc. ACM UIST 2014, ACM Press (2014).
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Phylter: A System for Modulating Notifications in Wearables Using Physiological Sensing
Afergan, D., Hincks, S.W., Shibata, T., & Jacob, R.J.K.
Proc. Human-Computer Interaction International 2015, Springer (2015).
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Promising Directions for Improved Training, Learning, and Memory
Afergan, D. & Davis, J.L.
Foundations of Augmented Cognition, 3rd Ed. Springer (2007).
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Using Brain-Computer Interfaces for Implicit Input
Afergan, D.
Proc. the Adjunct Publication of ACM UIST, ACM Press (2014).
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Using Passive Input to Adapt Visualization Systems to the Individual
Afergan, D., Peck, E.M., Chang, R., & Jacob, R.J.K.
CHI 2013 Workshop, Many People, Many Eyes (2013).
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Beyond Detection: Investing in Practical and Theoretical Applications of Emotion + Vis
Crouser, R. J., Harrison, L., Afergan, D., & Peck, E.M.
Proc. EmoVis 2016, ACM IUI 2016 Workshop on Emotion and Visualization (2016).
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An Early Rico Retrospective: Three Years of Uses for a Mobile App Dataset
Deka, B., Doosti, B., Huang, F., Franzen, C., Hibschman, J., Afergan, D., Li, Y., Kumar, R., Dong, T., & Nichols, J.
Artificial Intelligence for Human Computer Interaction: A Modern Approach, Springer (2021).
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Rico: A Mobile App Dataset for Building Data-Driven Design Applications
Deka, B., Huang, Z., Franzen, C., Hibschman, J., Afergan, D., Li, Y., Nichols, J., & Kumar, R.
Proc. ACM UIST 2017, ACM Press (2017).
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Using fNIRS for Realtime Cognitive Workload Assessment
Hincks, S.W., Afergan, D., & Jacob, R.J.K.
Foundations of Augmented Cognition: Neuroergonomics and Operational Neuroscience (2016).
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Improving Bayesian Reasoning: The Effects of Phrasing, Visualization, and Spatial Ability
Ottley, A., Peck, E.M., Harrison, L., Afergan, D., Ziemkiewicz, C., Taylor, H.A., Han, P.K.J., & Chang, R.
IEEE InfoVis: Information Visualization Conference 2015 (2015).
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Investigation of fNIRS Brain Sensing as Input to Information Filtering Systems
Peck, E.M., Afergan, D., & Jacob, R.J.K.
Proc. Augmented Human 2013, Springer (2013).
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Using fNIRS to Measure Mental Workload in the Real World
Peck, E.M., Afergan, D., Yuksel, B.F., Lalooses, F., & Jacob, R.J.K.
Advances in Physiological Computing. Springer (2013).
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Building Implicit Interfaces for Wearable Computers with Physiological Inputs: Zero Shutter Camera and Phylter
Shibata, T., Peck, E.M., Afergan, D., Hincks, S.W., Yuksel, B.F., & Jacob, R.J.K.
Adjunct Proc. ACM UIST 2014, poster paper (2014).
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DriftBoard: A Panning-Based Text Entry Technique for Ultra-Small Touchscreens
Shibata, T., Afergan, D., Kong, D., Yuksel, B. F., MacKenzie, I.S., & Jacob, R.J.K.
Proc. UIST 2016, ACM Press (2016).
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Text Entry for Ultra-Small Touchscreens Using a Fixed Cursor and Movable Keyboard
Shibata, T., Afergan, D., Kong, D., Yuksel, B. F., MacKenzie, I.S., & Jacob, R.J.K.
Proc. CHI 2016 Extended Abstracts, ACM Press (2016).
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Comparison of Locomotion Interfaces for Immersive Training Systems
Sibert, L.E., Templeman, J.N., Stripling, R.M., Coyne, J.T., Page, R.C., La Budde, Z., & Afergan, D.
Proc. the Human Factors and Ergonomics Society Annual Meeting 2008.
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Designing Implicit Interfaces for Physiological Computing: Guidelines and Lessons Learned using fNIRS
Solovey, E.T., Afergan, D., Peck, E.M., Hincks, S.W., & Jacob, R.J.K.
ACM Transactions on Computer-Human Interaction (TOCHI), 21(6) (2015).
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Enabling Adaptive Autonomy: Brain & Body Sensing for Adaptive Vehicles
Solovey, E.T., Afergan, D., Venkat, A., Belyusar, D., Mehler, B., Reimer, B.
CHI 2015 Workshop, Experiencing Autonomous Vehicles (2015).
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Automated SAF Adaptation Tool (ASAT)
Stripling, R., Coyne, J.T., Cole, A., Afergan, D., Barnes, R.L., Rossi, K., Reeves, L., & Schmorrow, D.D.
Foundations of Augmented Cognition, 3rd Ed., Springer (2007).
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Behavioral and Brain Dynamics of Team Coordination Part I: Task Design
Tognoli, E., Kovacs, A. J., Suutari, B., Afergan, D., Coyne, J., Gibson, G., Stripling, R., & Kelso, J.A.S.
Foundations of Augmented Cognition. Directing the Future of Adaptive Systems (2011).
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Behavioral and Brain Dynamics of Team Coordination Part II: Neurobehavioral Performance
Tognoli, E., Kovacs, A. J., Suutari, B., Afergan, D., Coyne, J., Gibson, G., Stripling, R., & Kelso, J.A.S.
Foundations of Augmented Cognition. Directing the Future of Adaptive Systems (2011).
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BRAAHMS: A Novel Adaptive Musical Interface Based on Users’ Cognitive State
Yuksel, B.F., Afergan, D., Peck, E.M., Griffin, G., Harrison, L., Chen, N.W., Chang, R., & Jacob, R.J.K.
Proc. ACM NIME 2015, ACM Press (2015).
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Functional Near-Infrared Spectroscopy for Adaptive Human Computer Interfaces
Yuksel, B.F., Peck, E.M., Afergan, D., Hincks, S.W., Shibata, T., Kainerstorfer, J., Tgavalekos, K., Sassaroli, A., Fantini, S., & Jacob, R.J.K.
SPIE BiOS (2015).
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Implicit Brain-Computer Interaction Applied to a Novel Adaptive Musical Interface
Yuksel, B.F., Afergan, D., Peck, E.M., Griffin, G., Harrison, L., Chen, N.W., Chang, R., & Jacob, R.J.K.
Technical Report, TR-2015-01, Department of Computer Science, Tufts University (2015).
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