UCLIC Research Seminar Series

UCLIC Research Seminar 4th of November: Marios Constantinides (Nokia Bell Labs, Cambridge University). Tools for augmenting meetings experience.
Marios Constantinides, Nokia Bell Labs, University of Cambridge
Location: On Zoom

Title

UCLIC Research Seminar 4th of November: Marios Constantinides (Nokia Bell Labs, Cambridge University). Tools for augmenting meetings experience.

Seminar location

Zoom (a recording of the talk is now available on UCLICTV )

Abstract

In this talk, I will present a series of projects that aim at augmenting our workplace experience through tools that not only improve our productivity, but also account for our emotional and psychological experience. Taking meetings as a common workplace activity, I will demonstrate how the use of mobile and wearable sensing technologies allows us to tap into people's emotional states, assess their environment, and understand communication patterns that impact their experience. I will showcase a new set of assisting technologies for improving meetings experience, both in physical and virtual spaces---a key use case in the wake of the impact of COVID-19 on our everyday lives.
Relevant Publications
MeetCues: Supporting Online Meetings Experience. IEEE VIS 2020 (https://arxiv.org/abs/2010.06259)
HeartBees: Visualizing Crowd Affects. IEEE VISAP 2020 (https://arxiv.org/abs/2010.07209)
WellBeat: A Framework for Tracking Daily Well-being Using Smartwatches. IEEE Internet Computing 2020 (https://ieeexplore.ieee.org/abstract/document/9171435)

Biography

Marios Constantinides is a Research Scientist at Nokia Bell Labs, Cambridge UK, and a visiting fellow at the University of Cambridge. His work focuses on understanding and modeling human behaviour, particularly using mobile and wearable sensing, with the aim of building technologies that augment the ways people interact and communicate. He received his Ph.D. from University College London (2018) in the area of HCI, where he focused on adaptive user interfaces and modeling users' interaction behaviour with mobile apps. Previously, he gained research experience at Telephonica Alpha, Spain (2017), where he worked on modeling mobile-sensing and network data for mood prediction. He also holds an MSc in Software Systems Engineering from University College London (2013).