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Daniel Boland – Data Science & HCI

Data Science & HCI

http://www.dannyboland.com/

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Daniel Boland – Data Science & HCI | dannyboland.com Reviews
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Daniel Boland – Data Science & HCI | dannyboland.com Reviews

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Data Science & HCI

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1

Engaging with Virtual Reality – Daniel Boland – Data Science & HCI

http://www.dannyboland.com/CHI-VR

Data Science and HCI. Engaging with Virtual Reality. February 20, 2015. Written on February 20, 2015.

2

Engaging with Mobile Music Retrieval – Daniel Boland – Data Science & HCI

http://www.dannyboland.com/mobileHCI15

Data Science and HCI. Engaging with Mobile Music Retrieval. June 2, 2015. This work deals with measuring how engaged a user is in their music retrieval, and how to adapt a retrieval interface to this engagement. It will be presented at mobileHCI in Copenhagen and received a best paper honourable mention. The resulting prototype music system allowed users to navigate music by mood, at a range of engagement levels, and inspired the Bang and Olufsen BeoSound Moments MoodWheel. McLachlan, R., Boland, D&#...

3

About – Daniel Boland – Data Science & HCI

http://www.dannyboland.com/about

Data Science and HCI. I am a PhD candidate within the University of Glasgows IDI group. Jointly funded by Bang and Olufsen and the CoSound. Project. My research develops quantitative measures for understanding user behaviour with music services. The resulting models of user engagement have informed the design of novel interaction mechanisms for music retrieval, including the BeoSound Moment. MoodWheel. Side interests include electronics prototyping and virtual reality.

4

Information-Theoretic Measures of Music Listening – Daniel Boland – Data Science & HCI

http://www.dannyboland.com/spud

Data Science and HCI. Information-Theoretic Measures of Music Listening. October 27, 2014. Having scraped a lot of playlists and listening histories from last.fm, I was keen to see which music features were associated with the way users made playlists, or how their listening changed over time. This user-centred approach to feature selection and system evaluation was published at ISMIR 2014. Some example code and interactive demos follow. Read the paper. Analysing User Listening History. The SPUD dataset ...

5

Speed Reading – Daniel Boland – Data Science & HCI

http://www.dannyboland.com/speed-reading

Data Science and HCI. February 25, 2014. Speed-reading interface caught a lot of attention recently. It enables fast rates of reading comprehension using a very limited display size (a single word at a time). Their demo is impressive but I wanted to try it out with my own text. I hacked up a demo using their approach that you can paste any text into. 13; ↑. Paste text below and click Go! Written on February 25, 2014.

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About

http://www.darylweir.com/about

I’m a postdoc researcher in the User Interfaces group at Aalto University in Helsinki, Finland. The group is headed by Antti Oulasvirta. I’ve worked here since October 2014. Before that I completed my Ph.D. at the University of Glasgow, supervised by Simon Rogers. Outside of work, I enjoy climbing, video games and Magic: the Gathering. This site is built using Jekyll. It makes use of Glyphicons. The design is inspired by (read: cribs heavily from) the personal websites of Julia Schwarz.

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DCBoland (Daniel Boland) · GitHub

https://github.com/DCBoland

Http:/ www.dannyboland.com. Oct 2, 2012. Javascript Granular Synthesis Library. A scrapy crawler for historical UK charts. Code for a convolutional autoencoder written on python, theano, lasagne, nolearn. A Glasgow University LaTeX thesis template. 12 contributions in the last year. Summary of pull requests, issues opened, and commits. Learn how we count contributions. DCBoland has no activity during this period. You can't perform that action at this time. To refresh your session. To refresh your session.

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Daniel Boland – Data Science & HCI

Data Science and HCI. Engaging with Mobile Music Retrieval. June 2, 2015. This work deals with measuring how engaged a user is in their music retrieval, and how to adapt a retrieval interface to this engagement. It will be presented at mobileHCI in Copenhagen and received a best paper honourable mention. The resulting prototype music system allowed users to navigate music by mood, at a range of engagement levels, and inspired the Bang and Olufsen BeoSound Moments MoodWheel. Engaging with Virtual Reality.

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