Coffee Machine Exoskeleton

One interesting HMI project I was able to take part in during my undergraduate degree was the creation of an internet connected, mechatronic exoskeleton for an office coffee machine. The project was set and sponsored by IBM, who at the time were interested in ways of retrofitting smart functionality to traditional household applicances.

Project Aims

- To better understand the visual impact of two strong visual perspective cues: magnification and environmental artefacs.

- To investigate (in a specific and limited way) the hypothesis that humans have an evolutionary preference for 3D environments.

- To investigate the possibility of a previously unidentified visual cue, rotation, via the Deep-Flat optical illusion.

Non-Invasive Modification

The obvious approach to adding smart functionality to 'dumb' appliances is to add a small microcontroller to simulate the inputs from the various manually operated switches and knobs. One of the aims of this project, however, was to create a system tht could be fitted by an end user, meaning that it became necessary to develop mechanical solutions to the problems of how to press a button or how to turn a dial. Reading status outputs externally was also a challenge, as bi-colour and flashing LEDs all report vital information which needed to be transmitted to the smart system. The resulting product was therefore effectively an exoskeleton around the machine, which used voice commands, a GUI and web interface for user input.

Machine Intelligence

The coffee machine used 

Outcomes

This investigation produced a great deal of useful data and my method, results and conclusions are reported in the paper ‘The Role of Perspective Cues in RSVP’. I was very excited to present this paper at the 21st International Conference on Information Visualisation, IV2017, at London Southbank University, where it generated considerable interest from delegates.

Supervisors

- Mr Jon McNamara, IBM

- Dr Christos Papavassiliou, Imperial College London

Financial Support

This industrial collaboration was jointly funded by Imperial College London and IBM

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