Zobrazeno 1 - 10
of 107
pro vyhledávání: '"Aaron Springer"'
Publikováno v:
Rohani, D A, Springer, A, Hollis, V, Bardram, J E & Whittaker, S 2021, ' Recommending Activities for Mental Health and Well-being: Insights from Two User Studies ', I E E E Transactions on Emerging Topics in Computing, vol. 9, no. 3, pp. 1183-1193 . https://doi.org/10.1109/tetc.2020.2972007
Engaging in daily activities that engender positive affect (e.g., exercise and socializing) is critical for emotional well-being and is effective in reducing clinical depression. However, current digital mental health interventions have not exploited
Autor:
Steve Whittaker, Aaron Springer
Publikováno v:
ACM Transactions on Interactive Intelligent Systems. 10:1-32
It is essential that users understand how algorithmic decisions are made, as we increasingly delegate important decisions to intelligent systems. Prior work has often taken a techno-centric approach, focusing on new computational techniques to suppor
Publikováno v:
Interactions. 25:58-63
Publikováno v:
Human–Computer Interaction. 36:73-106
We present a series of mHealth applications and studies pursued as part of the Fittle+ project. This program of research has the dual aims of (1) bringing scalable evidence-based behavior-change in...
Publikováno v:
Personal and Ubiquitous Computing. 22:723-737
Current behavior change systems often demand extremely advanced sensemaking skills, requiring users to interpret personal datasets in order to understand and change behavior. We describe EmotiCal, a system to help people better manage their emotions,
Autor:
Rob Martin, Steve Whittaker, Matthew Antoun, Christopher Antoun, Aaron Springer, Artie Konrad, Victoria Hollis
Publikováno v:
Human–Computer Interaction. 32:208-267
We explore the Examined Life, informing the design of reflective systems to promote emotional well-being, a critical health issue. People now have increasingly rich, digital records of highly personal data about what they said, did, and felt in the p
Publikováno v:
CHI Extended Abstracts
Potential negative outcomes of machine learning and algorithmic bias have gained deserved attention. However, there are still relatively few standard processes to assess and address algorithmic biases in industry practice. Practical tools that integr
Autor:
Aaron Springer, Steve Whittaker
Publikováno v:
IUI
As we increasingly delegate important decisions to intelligent systems, it is essential that users understand how algorithmic decisions are made. Prior work has often taken a technocentric approach to transparency. In contrast, we explore empirical u
Autor:
Aaron Springer
Publikováno v:
AIES
Much of the current research in transparency and explainability is highly technical and focuses on how to derive explanations from models and algorithms. Less thought is being given to how users actually want to receive transparency and explanations
Autor:
Michael Silva, Aaron Springer, Lester D. Nelson, Anusha Venkatakrishnan, Shiwali Mohan, Peter Pirolli
Publikováno v:
JMIR mHealth and uHealth, Vol 6, Iss 7, p e157 (2018)
JMIR mHealth and uHealth
JMIR mHealth and uHealth
BackgroundmHealth interventions can help to improve the physical well-being of participants. Unfortunately, mHealth interventions often have low adherence and high attrition. One possible way to increase adherence is instructing participants to compl