UCLIC Research Seminar Series
In this talk, I will present insights from a longitudinal in-the-wild Quantified Workplace study conducted in two offices of a research organization. Using a prototype Quantified Workplace system equipped with passive and participatory sensing modalities, we collected and visualized various workplace metrics (noise, air quality, self-reported mood, face-to-face interactions etc.) to employees, both on public and private displays. We sought to understand the employees' engagement patterns with the system, and whether the quantification leads to any change in their workplace behavior. I will present the key findings from this study, and discuss the implications for design of future Quantified Workplace systems.
I am a researcher at Nokia Bell Labs in Cambridge, working in ubiquitous computing and applied machine learning. I recently joined UCL as a Ph.D. student co-advised by Prof. Nadia Berthouze and Prof. Nic Lane. I hold a M.Sc. degree in Computer Science from the University of Toronto, where I was advised by Prof. Ravin Balakrishnan. For my work, I have been awarded Best Paper Honorable Mention Awards at ACM MobileHCI '13, ACM CHI '09, a Best Paper Nomination at ACM ICMI '16, and the mBillionth Award South Asia 2013.