The modernisation of cinema-going experience using technology and data is one of the hot topics of the cinema exhibition industry but unfortunately lacks presence among academic discussions. After finishing my data collection on mapping the contemporary cinema-going and cinema audiences desires on ideal cinema-going, I am starting to put my findings together in order to prototype enhanced experiences within the cinema space (Broadway Cinema). I am taking advantage of this opportunity to share with you briefly an update/overview of my progress until today, but most importantly my prototyping ideas. Having no background in computer science or design myself, but being in a lab full of people with expertise in these two fields, I would like to ask for your feedback on improving and developing my prototypes. The main themes would be data visualisation, VR, app developing, storytelling and interactive touch screens/tablescreens. I am also up for collaborations in case someone is interested.
This body of work considers how multiple users become aware of content on large digital display in relation to the current configuration of other users and their respective content. The nature of interaction with a variety of display types situated in a range of physical locations has helped identify key components in design and use which may influence user behaviour and engagement. By considering movement and spatial interactions between users and content, on-going investigation are considering varying approaches to adapt the layout of content to encourage movement and interaction behaviours of all parties, with the aim of maximising the utility (number of content windows) of the display and minimising negative impact upon on-going users (experience). Following this stage of the work the end goal will be to produce a predictive model of new users entering the display interaction space. This model will consider the on-going use of the display and generate an informed adaptation approach towards maximising utility and minimising negative impacts.
University of Nottingham School of Computer Science Nottingham, NG8 1BB
email: mrl@cs.nott.ac.uk