Maia Jacobs
Cited by
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How machine-learning recommendations influence clinician treatment selections: the example of antidepressant selection
M Jacobs, MF Pradier, TH McCoy Jr, RH Perlis, F Doshi-Velez, KZ Gajos
Translational psychiatry 11 (1), 108, 2021
Designing AI for trust and collaboration in time-constrained medical decisions: a sociotechnical lens
M Jacobs, J He, M F. Pradier, B Lam, AC Ahn, TH McCoy, RH Perlis, ...
Proceedings of the 2021 chi conference on human factors in computing systems …, 2021
Comparing health information sharing preferences of cancer patients, doctors, and navigators
ML Jacobs, J Clawson, ED Mynatt
Proceedings of the 18th ACM Conference on Computer Supported Cooperative …, 2015
My journey compass: a preliminary investigation of a mobile tool for cancer patients
ML Jacobs, J Clawson, ED Mynatt
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems …, 2014
MyPath: Investigating breast cancer patients' use of personalized health information
M Jacobs, J Johnson, ED Mynatt
Proceedings of the ACM on Human-Computer Interaction 2 (CSCW), 1-21, 2018
Caring about sharing: Couples' practices in single user device access
M Jacobs, H Cramer, L Barkhuus
Proceedings of the 2016 ACM International Conference on Supporting Group …, 2016
Cancer navigation: opportunities and challenges for facilitating the breast cancer journey
M Jacobs, J Clawson, ED Mynatt
Proceedings of the 17th ACM conference on Computer supported cooperative …, 2014
Standardizing reporting of participant compensation in HCI: A systematic literature review and recommendations for the field
J Pater, A Coupe, R Pfafman, C Phelan, T Toscos, M Jacobs
Proceedings of the 2021 CHI conference on human factors in computing systems …, 2021
Conducting research with stigmatized populations: Practices, challenges, and lessons learned
JF Maestre, EV Eikey, M Warner, S Yarosh, J Pater, M Jacobs, G Marcu, ...
Companion of the 2018 ACM conference on computer supported cooperative work …, 2018
A cancer journey framework: guiding the design of holistic health technology
M Jacobs, J Clawson, ED Mynatt
Proceedings of the 10th EAI International Conference on Pervasive Computing …, 2016
Exploring How Parents in Economically Depressed Communities Access Learning Resources.
PK Roshan, ML Jacobs, M Dye, BJ DiSalvo
GROUP, 131-141, 2014
" I think we know more than our doctors" How Primary Caregivers Manage Care Teams with Limited Disease-related Expertise
M Jacobs, G Gheihman, KZ Gajos, AS Gupta
Proceedings of the ACM on Human-Computer Interaction 3 (CSCW), 1-22, 2019
Couples' Communication Channels: What, When & Why?
H Cramer, ML Jacobs
Proceedings of the 33rd annual ACM conference on human factors in computing …, 2015
The future of pervasive health
K Connelly, O Mayora, J Favela, M Jacobs, A Matic, C Nugent, S Wagner
IEEE Pervasive Computing 16 (1), 16-20, 2017
The flagellar proteins of a paralyzed mutant of Chlamydomonas reinhardii
M Jacobs, JM Hopkins, JT Randall
J. Cell Biol 39 (2 Pt 2), 66, 1968
Articulating a patient-centered design space for cancer journeys
ML Jacobs, J Clawson, ED Mynatt
EAI endorsed transactions on pervasive health and technology 3 (9), 2017
Augmented intelligence to identify patients with advanced heart failure in an integrated health system
B Cheema, RK Mutharasan, A Sharma, M Jacobs, K Powers, S Lehrer, ...
JACC: Advances 1 (4), 100123, 2022
Improving data scientist efficiency with provenance
J Hu, J Joung, M Jacobs, KZ Gajos, MI Seltzer
Proceedings of the ACM/IEEE 42nd International Conference on Software …, 2020
Biochemistry of Chlamydomonas flagella
M Jacobs, J Hopkins, JT Randall
Proceedings of the Royal Society of London. Series B. Biological Sciences …, 1969
Lessons learned from a yearlong deployment of customizable breast cancer tablet computers
M Jacobs, J Clawson, ED Mynatt
Proceedings of the conference on Wireless Health, 1-7, 2015
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