Aaron Springer
Aaron Springer
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What does all this data mean for my future mood? Actionable analytics and targeted reflection for emotional well-being
V Hollis, A Konrad, A Springer, M Antoun, C Antoun, R Martin, S Whittaker
Human–Computer Interaction 32 (5-6), 208-267, 2017
Progressive disclosure: empirically motivated approaches to designing effective transparency
A Springer, S Whittaker
Proceedings of the 24th international conference on intelligent user …, 2019
Implementation intention and reminder effects on behavior change in a mobile health system: a predictive cognitive model
P Pirolli, S Mohan, A Venkatakrishnan, L Nelson, M Silva, A Springer
Journal of medical Internet research 19 (11), e397, 2017
Assessing and addressing algorithmic bias in practice
H Cramer, J Garcia-Gathright, A Springer, S Reddy
Interactions 25 (6), 58-63, 2018
Dice in the Black Box: User Experiences with an Inscrutable Algorithm
A Springer, V Hollis, S Whittaker
AAAI Spring Symposium, 2017
Progressive disclosure: When, why, and how do users want algorithmic transparency information?
A Springer, S Whittaker
ACM Transactions on Interactive Intelligent Systems (TiiS) 10 (4), 1-32, 2020
Assessing and Addressing Algorithmic Bias-But Before We Get There...
A Springer, J Garcia-Gathright, H Cramer
AAAI Spring Symposia, 2018
Translation, tracks & data: an algorithmic bias effort in practice
H Cramer, J Garcia-Gathright, S Reddy, A Springer, R Takeo Bouyer
Extended Abstracts of the 2019 CHI Conference on Human Factors in Computing …, 2019
" Play PRBLMS" Identifying and Correcting Less Accessible Content in Voice Interfaces
A Springer, H Cramer
Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems …, 2018
Leveraging self-affirmation to improve behavior change: a mobile health app experiment
A Springer, A Venkatakrishnan, S Mohan, L Nelson, M Silva, P Pirolli
JMIR mHealth and uHealth 6 (7), e9151, 2018
Mood modeling: accuracy depends on active logging and reflection
A Springer, V Hollis, S Whittaker
Personal and Ubiquitous Computing 22, 723-737, 2018
Recommending activities for mental health and well-being: Insights from two user studies
DA Rohani, A Springer, V Hollis, JE Bardram, S Whittaker
IEEE Transactions on Emerging Topics in Computing 9 (3), 1183-1193, 2020
What Are You Hiding? Algorithmic Transparency and User Perceptions
A Springer, S Whittaker
AAAI Spring Symposium, 2018
Scaffolding the mastery of healthy behaviors with fittle+ systems: evidence-based interventions and theory
P Pirolli, GM Youngblood, H Du, A Konrad, L Nelson, A Springer
Human–Computer Interaction 36 (2), 73-106, 2021
Making Transparency Clear
A Springer, S Whittaker
IUI Algorithmic Transparency in Emerging Technologies Workshop, 2019
Progressive disclosure: designing for effective transparency
A Springer, S Whittaker
arXiv preprint arXiv:1811.02164, 2018
" I had a solid theory before but it's falling apart": Polarizing Effects of Algorithmic Transparency
A Springer, S Whittaker
arXiv preprint arXiv:1811.02163, 2018
Enabling effective transparency: towards user-centric intelligent systems
A Springer
Proceedings of the 2019 AAAI/ACM Conference on AI, Ethics, and Society, 543-544, 2019
Estimating Causal Effects of Exercise from Mood Logging Data
D Sridhar, A Springer, V Hollis, S Whittaker, L Getoor
ICML Workshop on Machine Learning for Causal Inference, Counterfactual …, 2018
Making Transparency Clear: The Dual Importance of Explainability and Auditability.
A Springer, S Whittaker
IUI Workshops, 2019
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