Krithika Jagannath

TL;DR: The Tesserae project investigates how a suite of sensors can measure workplace performance, psychological traits, and physical characteristics over one year through smartwatches, a phone agent, beacons, and social media.

TL;DR: This work trains a gradient boosting classifier that can classify workers as higher or lower performers with AUROC of 0.83, which opens the way to new forms of passive objective assessment and feedback to workers to potentially provide week by week or quarter by quarter guidance in the workplace.

TL;DR: This case study introduces an infrastructural framework to illustrate the feasibility of passively collecting social media data at scale in the context of an ongoing multimodal sensing study of workplace performance and examines what characterizes individuals who choose to consent tosocial media data sharing vs. those who do not.

TL;DR: Drawing from prior literature in CSCW, youth wellness and prevention programs, offline evidence-based strategies were translated into the design of an online, after-school program that was run within a moderated Minecraft server, designed to promote problem-solving and conflict-resolution skills in youth.

TL;DR: In this article, the authors report findings from a 2-year, in-the-wild study of 8-13 year olds on a custom multiplayer Minecraft server and suggest an alternative vision of youth's capacity for ownership and control of mechanisms shaping the culture and climate of their online communities: managing player behavior while challenging current norms around adult control and surveillance of youth activity.