Vacancy, Post-doctoral researcher

A post-doc position until end Feb 2018 is available. Apply here by 14th August https://www22.i-grasp.com/fe/tpl_glasgow01.asp?newms=jj&id=89514&aid=14231

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Seminar: Casual Interaction for Smartwatch Feedback and Communication

Casual Interaction for Smartwatch Feedback and Communication

Inference, Dynamics and Interaction Group
Speaker: Henning Pohl
Date: 01 July, 2016
Time: 13:00 – 14:00
Location: Sir Alwyn Williams Building, 422 Seminar Room

Casual interaction strives to enable people to scale back their engagement with interactive systems, while retaining the level of control they desire. In this talk, we will take a look on two recent developments in casual interaction systems. The first project to be presented is an indirect visual feedback system for smartwatches. Embedding LEDs into the back of a watch case enabled us to create a form of feedback that is less disruptive than vibration feedback and blends in with the body. We investigated how well such subtle feedback works in an in-the-wild study, which we will take a closer look at in this talk. Where the first project is a more casual form of feedback, the second project tries to support a more casual form of communication: emoji. Over the last years these characters have become more and more popular, yet entering them can take quite some effort. We have developed a novel emoji keyboard around zooming interaction, that makes it easier and faster to enter emoji.

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Bea Vad presents at ISMIR 2015 in Spain

Bea at ISMIR

Bea presented the paper:
B. Vad, Boland, D., Williamson, J., Murray-Smith, R., and Steffensen, P. B., Design and evaluation of a probabilistic music projection interface, In: 16th International Society for Music Information Retrieval Conference, Malaga, Spain, 26-30 Oct 2015.

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A conceptual model of the future of input devices

Speaker: John Williamson
Date: 14 October, 2015
Time: 14:00 – 15:00
Location: Sir Alwyn Williams Building, 422 Seminar Room

Turning sensor engineering into advances into human computer interaction is slow, ad hoc and unsystematic. I’ll discuss a fundamental approach to input device engineering, and illustrate how machine learning could have the exponentially-accelerating impact in HCI that it has had in other fields.

 

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