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Denise Baker's teaching and research focus encompasses psychology and emerging technology, human factors, engineering ethics, and perceptions and understanding of science and technology. The PsyTE lab (Psychology, Technology, and Engineering Lab) engages in interdisciplinary research directed toward S&Ts Smart Living Signature Area. PsyTE lab research focuses on how concepts from cognitive and social psychology can inform and be informed by the design, application, and infrastructure of smart systems.
Baker, D.A. (Under Review, April 2019). Ironies in Self Quantification.
Khamesi, A.R., Silvestri, S., Baker, D.A., DePaola*, A. (Under Review, Jan 2019). Perceived-Value Driven Optimization of Energy Consumption in Smart Homes.
Shin*, E., Khamesi, A.R., Bahr*, Z.,Silvestri, S., Baker, D.A. (Under Review, March 2019) A User-Centered Active Learning Approach for Appliance Recognition.
Burns, D., Baker, D.A., Kueny, C. (In Preparation for submission May, 2019). Effect of Interview Modality on Perceptions of Human Agency.
Baker D.A, Cacy*, S., Jeanise*, E. (Accepted; July 2019). Impact of Origami/Kirigami Light-Filtering Blinds on User Cognition and Affect. Poster to be presented at 10th International Conference on Applied Human Factors and Ergonomics and the Affiliated Conferences (AHFE 2019). Washington DC
Ur Rehman*, A., Awuah-Offei, K., Baker, D.A., Bristow, D. (Feb, 2019) Emergency Evacuation Guidance System for Underground Miners. Society for Mining, Metallurgy & Exploration (SME) 2019 Annual Conference & Expo. Denver, Colorado.
Dolce*, C. Jackson*, S. Silvestri, D. Baker, A. De Paola*. (July, 2018). "Social-Behavioral Aware Optimization of Energy Consumption in Smart Homes" in Proceedings of the IEEE International Conference on Distributed Computing in Sensor Systems (DCOSS). Link
Baker, D.A. (July, 2017). Wearables and User Interface Design: Impacts on Beliefs in Free Will. HCI International 2017, Vancouver, BC, July, 2017. Scopus Analytics
Silvestri, S., Baker, D.A., Dolce*, V. (April, 2017). Integration of Social Behavioral Modeling for Energy Optimization in Smart Environments. In Proceedings of SocialSens’17, Pittsburgh, PA. doi: http://dx.doi.org/10.1145/3055601.3055618 Scopus Analytics
Baker, D. A. (2016). Self “Sensor”ship: An interdisciplinary investigation of the persuasiveness, social implications, and ethical design of self-sensoring prescriptive applications. [dissertation]. ProQuest Dissertations Publishing. Link
Saks, M.J., Danvers*, A., Wissler*, R.L., Voytyuk*, M., Williams*, K., Baker*, D.A., M. Votruba, A.M. (2016). Psychological Aspects of Food Biodesign. Jurimetrics, The Journal of Law, Science, and Technology, 56(2), 165-181. Link
Baker*, D.A., Ware*, J.M, Schweitzer, N.J., Risko, E. F. (2015). Making sense of research on the neuroimage bias. Public Understanding of Science. doi: 10.1177/0963662515604975 Scopus Analytics
Baker*, D.A. (2014). The ‘second place’ problem: assistive technology in sports and defining normal. Science and Engineering Ethics 22(1), 93-110. doi: 10.1007/s11948-015-9629-1 Scopus Analytics
Baker*, D.A. (2014). Bound to be ‘normal’: assistive technology, fair opportunity, and athletic excellence. Conference proceedings 2014 Institute of Electrical and Electronics Engineers Symposium on Ethics in Engineering, Science, and Technology, Ethics. Chicago, IL. doi: 10.1109/ETHICS.2014.6893420 Scopus Analytics
Baker*, D.A., Schweitzer, N.J., and Risko, E.F. (2013). Perceived access to self-relevant information mediates judgments of privacy violations in neuromonitoring and other monitoring technologies. Neuroethics, 7(1), 43-50. doi 10.1007/s12152-013-9181-0. Scopus Analytics
Baker*, D.A., Schweitzer, N.J., Risko, E.F, and Wear*, J. (2013). Visual Attention and the Neuroimage Bias. PLOs ONE 8(9): e74449. doi:10.1371/journal.pone.0074449. Scopus Analytics
Schweitzer, N.J., Baker*, D.A., and Risko, E.F. (2013). Fooled by the brain: re-examining the influence of neuroimages. Cognition, 129, 501-511. doi: 10.1016/j.cognition.2013.08.009 Scopus Analytics
FUNDED (2016-2019): Co-PI - Integration of Social Behavioral Modeling for Smart Environments To Improve Energy Efficiency of Smart Cities; NSF/NIFA – 3 years; $802,000
FUNDED (2017): Co-PI - Collaborative: Cellphone-Enabled Water Citizen Science for Data and Knowledge Generation, and Sharing: WatCitSci; NSF, EAGER - 1 year; $100,000
FUNDED (2017): Co-PI, Human-Centered Origami and Kirigami Structures for Environmental Lighting, MST, Seed Funding Grant - 1 year; $40,000