Mixed Reality Laboratory
  • Print
   
   

Talk by Enrico Costanza (UCL)

 
Location
C60 Computer Science Building
Date(s)
Friday 28th June 2019 (12:00-13:00)
Description

Enrico Costanza, who is an Associate Professor in the UCL Interaction Centre (UCLIC), will give a talk this week in C60.

The Autonomous Internet of Things and Explainable AI

The wealth of data made available by the Internet of Things (IoT) keeps growing. How can we best design interactive systems to help us take advantage of this data, to make our lifestyle more efficient, more sustainable and more healthy? One way to address this question is to support the delegation of agency to autonomous devices and services, that draw upon machine learning techniques and optimization algorithms. I am particularly interested in situations where the IoT data is incidental to people's activities, such as in the domestic context. How do we balance between keeping users ultimately in control and taking advantage of AI-based automation? Explainable AI is part of the answer. I will present findings from field studies of interactive prototypes related to domestic energy consumption, and from controlled lab studies designed to investigate the effect of specific interface features on users interaction with AI systems, as well as cognitive biases.

About Enrico

Enrico Costanza is Associate Professor of Human-Computer Interaction at the UCL Interaction Centre. His current research focus is on helping people make sense of data and on interaction with AI and autonomous systems in everyday situations. Enrico’s work lies at the intersection of design and technology and it is influenced by behavioural and social sciences. He has published about designable visual markers, wearable interfaces, and tangible interfaces for music composition and performance. He holds a PhD in Computer Science from EPFL, an MS in Media Art and Science from MIT, and an MEng in Electronics and Communications Engineering from York.

Mixed Reality Laboratory

University of Nottingham
School of Computer Science
Nottingham, NG8 1BB


telephone: +44 (0) 115 846 6780
email: mrl@cs.nott.ac.uk