Mood Modeling: Accuracy Depends on Active Logging and Reflection
Springer, A., Hollis, V., & Whittaker, S.
Personal and Ubiquitous Computing.


Tangibles vs. Mouse in Educational Programming Games: Influences on Enjoyment and Self-Belief
Melcer, E., Hollis, V., and Isbister, K.
CHI ’17 Extended Abstracts on Human Factors in Computing Systems.

Dice in the Black Box: User Experiences with an Inscrutable Algorithm
Springer, A., Hollis, V., & Whittaker, S.
AAAI Symposium


What Does All This Data Mean For My Future Mood? Actionable Analytics & Targeted Reflection for Emotional Well-Being
Hollis, V., Konrad, A., Springer, A., Antoun, M., Antoun, C., Martin, R., & Whittaker, S.
Human-Computer Interaction.

‘Don’t Waste My Time’: Use of Time Information Improves Focus
Whittaker, S., Kalnikaite, V., Hollis, V., & Guydish, A.
CHI ’16


Change of Heart: Emotion Tracking to Promote Behavior Change
Hollis, V., Konrad, A. & Whittaker, S.
CHI ’15


Echoes From the Past: How Technology Mediated Reflection Improves Well-Being
Isaacs, E., Konrad, A., Walendowski, A., Lenning, T., Hollis, V. & Whittaker, S.
CHI ’13
Awarded Best Paper Honorable Mention (top 5% of admits)

In Preparation

On Being Told How We Feel: How Machine Feedback Informs Emotion Perception & Task Assessments.
Hollis, V., Pekurovsky, A., Wu, N. & Whittaker, S.

“It makes me realize that work isn’t terrible”: Exploring Trust and Sensemaking for Emotion Analytics.
Hollis, V. & Whittaker, S.

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