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 | 119 | 2017 |
Progressive disclosure: empirically motivated approaches to designing effective transparency A Springer, S Whittaker Proceedings of the 24th international conference on intelligent user …, 2019 | 118 | 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 | 72 | 2017 |
Assessing and addressing algorithmic bias in practice H Cramer, J Garcia-Gathright, A Springer, S Reddy Interactions 25 (6), 58-63, 2018 | 65 | 2018 |
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 | 63 | 2020 |
Dice in the black box: User experiences with an inscrutable algorithm A Springer, V Hollis, S Whittaker 2017 AAAI Spring Symposium Series, 2017 | 61 | 2017 |
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 | 40 | 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 | 32 | 2018 |
Assessing and Addressing Algorithmic Bias-But Before We Get There... A Springer, J Garcia-Gathright, H Cramer AAAI Spring Symposia, 2018 | 28 | 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 | 27 | 2018 |
Mood modeling: accuracy depends on active logging and reflection A Springer, V Hollis, S Whittaker Personal and Ubiquitous Computing 22, 723-737, 2018 | 25 | 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 | 20 | 2020 |
Assessing and addressing algorithmic bias-but before we get there J Garcia-Gathright, A Springer, H Cramer arXiv preprint arXiv:1809.03332, 2018 | 18 | 2018 |
What are you hiding? Algorithmic transparency and user perceptions A Springer, S Whittaker arXiv preprint arXiv:1812.03220, 2018 | 17 | 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 | 16 | 2021 |
Making transparency clear A Springer, S Whittaker Algorithmic Transparency for Emerging Technologies Workshop 5, 2019 | 16 | 2019 |
Progressive disclosure: designing for effective transparency A Springer, S Whittaker arXiv preprint arXiv:1811.02164, 2018 | 16 | 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 | 11 | 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 | 10 | 2019 |
Making Transparency Clear: The Dual Importance of Explainability and Auditability. A Springer, S Whittaker IUI Workshops, 2019 | 10 | 2019 |