| 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 | 83 | 2017 |
| Progressive disclosure: empirically motivated approaches to designing effective transparency A Springer, S Whittaker Proceedings of the 24th international conference on intelligent user …, 2019 | 63 | 2019 |
| Dice in the Black Box: User Experiences with an Inscrutable Algorithm A Springer, V Hollis, S Whittaker AAAI Spring Symposium, 2017 | 43 | 2017 |
| 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), e8217, 2017 | 38 | 2017 |
| Assessing and addressing algorithmic bias in practice H Cramer, J Garcia-Gathright, A Springer, S Reddy Interactions 25 (6), 58-63, 2018 | 30 | 2018 |
| " 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 | 25 | 2018 |
| Assessing and Addressing Algorithmic Bias-But Before We Get There... A Springer, J Garcia-Gathright, H Cramer AAAI Spring Symposia, 2018 | 24* | 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 | 23 | 2019 |
| Mood modeling: accuracy depends on active logging and reflection A Springer, V Hollis, S Whittaker Personal and Ubiquitous Computing 22 (4), 723-737, 2018 | 20 | 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 | 14 | 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 | 13 | 2021 |
| 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 | 13 | 2020 |
| What Are You Hiding? Algorithmic Transparency and User Perceptions A Springer, S Whittaker AAAI Spring Symposium, 2018 | 11 | 2018 |
| Making Transparency Clear A Springer, S Whittaker IUI Algorithmic Transparency in Emerging Technologies Workshop, 2019 | 9 | 2019 |
| 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 | 7 | 2020 |
| 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 | 6 | 2019 |
| " 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 | 5 | 2018 |
| 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 | 4 | 2018 |
| Accurate, Fair, and Explainable: Building Human-Centered AI A Springer University of California, Santa Cruz, 2019 | 2 | 2019 |
| Using sequential pattern mining to increase graph comprehension in intelligent tutoring system student data A Springer, M Johnson, M Eagle, T Barnes Proceeding of the 44th ACM technical symposium on Computer science education …, 2013 | 1 | 2013 |
Steve WhittakerProfessor of Computational Media, University of California at Santa CruzVerified email at ucsc.edu
