Measured Enough: How Academic Knowledge Workers Negotiate Data Sharing and Control
Author(s)
Abdalazim, Nouran
Zanardi, Irene
Alecci, Lidia
Landoni, Monica
Santini, Silvia
Publisher
ACM
Date issued
2026
In
Proceedings of the Extended Abstracts of the 2026 CHI Conference on Human Factors in Computing Systems
From page
1
To page
7
Subjects
Personal informatics systems academic knowledge workers selftracking productivity well-being
Abstract
Personal informatics (PI) systems support self-tracking and reflection, yet their adoption in work settings remains limited due to concerns about surveillance, loss of control, and misinterpretation of data. We present an exploratory vignette-based interview study with 20 academic knowledge workers that examines how PI systems can support work-related activities while preserving workers’ autonomy. We compare two scenarios: individual use of PI systems for productivity and well-being, and an employer-provided PI system that allows optional sharing of anonymized and aggregated performance reports. Using reflexive thematic analysis, we identify three conditions shaping acceptance: (1) clear boundaries between work and private contexts and careful control over data modalities; (2) autonomy over system interventions, including their timing and content; and (3) control over if, how, and with whom performance reports are shared. Our findings contribute design insights for workplace PI systems that balance organizational awareness with worker-centered control and autonomy.
Notes
Article No.: 457
Publication type
journal article
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