2015 - 2016

There is a demand for engaging content for public screens. We present an emotional spoken word image retriever and visualiser made to enhance emotional interaction with a display. We employed a method of applied research, which involved system development, artistic practice and user studies. Through this journey we found that by displaying affective visual feedback of speech people are more than willing to express themselves emotionally and have more meaningful experiences with the interactive content than is currently widely available. Kimberley & David

kaleidOk invites participants to use a new kind of interactive media tool and take part in an emerging experience which explores speech recognition, media retrieval and visuals generating in a collaborative context (between people, and between people and machines).

By sharing data in new and creative ways, we can interact with world events, emotional experiences and social exchanges. Technology has made a kaleidoscope of diverse cultural expressions accessible, and kaleidOk offers a platform for people to explore the connections between their internal dialogue and the outside world


emotion lexicon

audio analysis

image search engine

The most advanced communications tool

already exists– the human voice



Saxion University of Applied Sciences

Observe is a collaboration of the research groups Media Design Technology, and Ethics and Technology of Saxion University, University of Amsterdam and the University of Leuven. Participating also is an extensive group of creative and outdoor media companies.

Regieorgaan SIA

Taskforce for Applied Research

SIA finances and stimulates applied research in colleges. The institute has a place within the The Netherlands Organisation for Scientific Research. SIA sponsors research that is crucial to their task to create and disseminate new knowledge for education and professional practice.
DAVID FOERSTERLead Programmermalteworld@web.de
My background is in informatics and software engineering. I am very interested in information management, computer vision, pattern recognition, and data analytics.
In the future I see much more automated solutions heavily based on machine learning as opposed to static algorithms especially in the analysis of large and very large datasets.
KIMBERLEY BIANCACreative director, Designer, Researcherkimberley.bianca@gmail.com As of 2019, I'm a PhD student in Emergent Technologies & Media Arts at CU Boulder. In 2018, I completed my masters at UNSW while I was directing the community arts organisation, Electrofringe.
I'm interested in how social peer-to-peer processes can encourage creatives to share resources, and how to facilitate meaningful virtual and HCI experiences.