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2020 – today
- 2021
[j6]Peter Pirolli, G. Michael Youngblood, Honglu Du, Artie Konrad, Les Nelson, Aaron Springer:
Scaffolding the Mastery of Healthy Behaviors with Fittle+ Systems: Evidence-Based Interventions and Theory. Hum. Comput. Interact. 36(2): 73-106 (2021)- [j5]Darius A. Rohani
, Aaron Springer, Victoria Hollis, Jakob E. Bardram, Steve Whittaker:
Recommending Activities for Mental Health and Well-Being: Insights From Two User Studies. IEEE Trans. Emerg. Top. Comput. 9(3): 1183-1193 (2021) - 2020
- [j4]Aaron Springer, Steve Whittaker:
Progressive Disclosure: When, Why, and How Do Users Want Algorithmic Transparency Information? ACM Trans. Interact. Intell. Syst. 10(4): 29:1-29:32 (2020)
2010 – 2019
- 2019
- [b1]Aaron Springer:
Accurate, Fair, and Explainable: Building Human-Centered AI. University of California, Santa Cruz, USA, 2019 - [c10]Aaron Springer:
Enabling Effective Transparency: Towards User-Centric Intelligent Systems. AIES 2019: 543-544 - [c9]Henriette Cramer, Jean Garcia-Gathright, Sravana Reddy, Aaron Springer, Romain Takeo Bouyer:
Translation, Tracks & Data: an Algorithmic Bias Effort in Practice. CHI Extended Abstracts 2019 - [c8]Aaron Springer, Steve Whittaker:
Progressive disclosure: empirically motivated approaches to designing effective transparency. IUI 2019: 107-120 - [c7]Aaron Springer, Steve Whittaker:
Making Transparency Clear: The Dual Importance of Explainability and Auditability. IUI Workshops 2019 - 2018
- [j3]Henriette Cramer, Jean Garcia-Gathright, Aaron Springer, Sravana Reddy:
Assessing and addressing algorithmic bias in practice. Interactions 25(6): 58-63 (2018) - [j2]Aaron Springer, Victoria Hollis, Steve Whittaker:
Mood modeling: accuracy depends on active logging and reflection. Pers. Ubiquitous Comput. 22(4): 723-737 (2018) - [c6]Aaron Springer, Jean Garcia-Gathright, Henriette Cramer:
Assessing and Addressing Algorithmic Bias - But Before We Get There... AAAI Spring Symposia 2018 - [c5]Aaron Springer, Steve Whittaker:
What Are You Hiding? Algorithmic Transparency and User Perceptions. AAAI Spring Symposia 2018 - [c4]Aaron Springer, Henriette Cramer:
"Play PRBLMS": Identifying and Correcting Less Accessible Content in Voice Interfaces. CHI 2018: 296 - [i5]Jean Garcia-Gathright, Aaron Springer, Henriette Cramer:
Assessing and Addressing Algorithmic Bias - But Before We Get There. CoRR abs/1809.03332 (2018) - [i4]Aaron Springer, Steve Whittaker:
"I had a solid theory before but it's falling apart": Polarizing Effects of Algorithmic Transparency. CoRR abs/1811.02163 (2018) - [i3]Aaron Springer, Steve Whittaker:
Progressive Disclosure: Designing for Effective Transparency. CoRR abs/1811.02164 (2018) - [i2]Aaron Springer, Victoria Hollis, Steve Whittaker:
Dice in the Black Box: User Experiences with an Inscrutable Algorithm. CoRR abs/1812.03219 (2018) - [i1]Aaron Springer, Steve Whittaker:
What Are You Hiding? Algorithmic Transparency and User Perceptions. CoRR abs/1812.03220 (2018) - 2017
- [j1]Victoria Hollis, Artie Konrad, Aaron Springer, Matthew Antoun, Christopher Antoun, Rob Martin, Steve Whittaker:
What Does All This Data Mean for My Future Mood? Actionable Analytics and Targeted Reflection for Emotional Well-Being. Hum. Comput. Interact. 32(5-6): 208-267 (2017) - [c3]Aaron Springer, Victoria Hollis, Steve Whittaker:
Dice in the Black Box: User Experiences with an Inscrutable Algorithm. AAAI Spring Symposia 2017 - 2015
- [c2]Rakshit Agrawal, Aaron Springer, Emily Lovell:
QuickResponseHost: Enabling crowdsourced disaster response stations. GHTC 2015: 233-239 - 2013
- [c1]Aaron Springer, Matthew W. Johnson, Michael Eagle, Tiffany Barnes:
Using sequential pattern mining to increase graph comprehension in intelligent tutoring system student data (abstract only). SIGCSE 2013: 732
Coauthor Index
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