Mapping and taking stock of the personal informatics literature

DA Epstein, C Caldeira, MC Figueiredo, X Lu… - Proceedings of the …, 2020 - dl.acm.org
The research community on the study and design of systems for personal informatics has
grown over the past decade. To take stock of what the topics the field has studied and …

Engagement Detection and Its Applications in Learning: A Tutorial and Selective Review

BM Booth, N Bosch, SK D'Mello - Proceedings of the IEEE, 2023 - ieeexplore.ieee.org
Engagement is critical to satisfaction and performance in a number of domains but is
challenging to measure and sustain. Thus, there is considerable interest in developing …

Burnout and the quantified workplace: Tensions around personal sensing interventions for stress in resident physicians

DA Adler, E Tseng, KC Moon, JQ Young… - Proceedings of the …, 2022 - dl.acm.org
Recent research has explored computational tools to manage workplace stress via personal
sensing, a measurement paradigm in which behavioral data streams are collected from …

The effects of seasons and weather on sleep patterns measured through longitudinal multimodal sensing

SM Mattingly, T Grover, GJ Martinez, T Aledavood… - NPJ digital …, 2021 - nature.com
Previous studies of seasonal effects on sleep have yielded unclear results, likely due to
methodological differences and limitations in data size and/or quality. We measured the …

Algorithmic power or punishment: Information worker perspectives on passive sensing enabled ai phenotyping of performance and wellbeing

V Das Swain, L Gao, WA Wood, SC Matli… - Proceedings of the …, 2023 - dl.acm.org
We are witnessing an emergence in Passive Sensing enabled AI (PSAI) to provide dynamic
insights for performance and wellbeing of information workers. Hybrid work paradigms have …

Can workers meaningfully consent to workplace wellbeing technologies?

S Chowdhary, A Kawakami, ML Gray, J Suh… - Proceedings of the …, 2023 - dl.acm.org
Sensing technologies deployed in the workplace can unobtrusively collect detailed data
about individual activities and group interactions that are otherwise difficult to capture. A …

GLOBEM dataset: multi-year datasets for longitudinal human behavior modeling generalization

X Xu, H Zhang, Y Sefidgar, Y Ren… - Advances in …, 2022 - proceedings.neurips.cc
Recent research has demonstrated the capability of behavior signals captured by
smartphones and wearables for longitudinal behavior modeling. However, there is a lack of …

A multimodal sensor dataset for continuous stress detection of nurses in a hospital

S Hosseini, R Gottumukkala, S Katragadda… - Scientific Data, 2022 - nature.com
Advances in wearable technologies provide the opportunity to monitor many physiological
variables continuously. Stress detection has gained increased attention in recent years …

Building pipelines for educational data using AI and multimodal analytics: A “grey‐box” approach

K Sharma, Z Papamitsiou… - British Journal of …, 2019 - Wiley Online Library
Students' on‐task engagement during adaptive learning activities has a significant effect on
their performance, and at the same time, how these activities influence students' behavior is …

Sensing wellbeing in the workplace, why and for whom? envisioning impacts with organizational stakeholders

A Kawakami, S Chowdhary, ST Iqbal, QV Liao… - Proceedings of the …, 2023 - dl.acm.org
With the heightened digitization of the workplace, alongside the rise of remote and hybrid
work prompted by the pandemic, there is growing corporate interest in using passive …