- This smartphone app plays smooth jazz when you put it on the sofa TechRadar 5 Sep 2017
- New app could make your phone learn its exact location ETTelecom.com 5 Sep 2017
- You might never have to search for your phone again thanks to SpeCam Android Authority (blog) 7 Sep 2017
SpeCam Helps Phones To ‘See’ Surfaces & Respond With Actions Android Headlines 6 Sep 2017
Scots researchers make phone that uses AI to detect different surfaces The Scotsman 7 Sep 2017
New technology allows smartphone to recognise surfaces FutureScot (blog) 6 Sep 2017
New app could make your phone detect its exact location AZERTAC News 8 Sep 2017
See: Full Project Page
SpeCam: sensing surface color and material with the front-facing camera of a mobile device.
Hui-Shyong Yeo, Juyoung Lee, Andrea Bianchi, David Harris-Birtill, and Aaron Quigley. In Proceedings of the 19th International Conference on Human-Computer Interaction with Mobile Devices and Services (MobileHCI ’17). ACM, New York, NY, USA, Article 25, 9 pages. DOI: https://doi.org/10.1145/3098279.3098541
Welcome to the website for SACHI which aims to act a focal point for human computer interaction research across the University of St Andrews and beyond.
SACHI is the St Andrews Computer Human Interaction research group (a HCI Group) based in the School of Computer Science. Members of SACHI co-supervise research students, collaborate on various projects and activities, share access to research equipment and our HCI laboratory. Established in 2011, we now have a regular seminar series, social activities, summer schools and organise workshops and conferences together. Along with the above links, you can find more news about us here.
News & Events
If you are looking to meet members of SACHI to discuss collaborations or research visits you can find us here. Likewise, if you are a company attending MobileHCI and you wish to discuss working with us please get in touch. You can find us helping and involved throughout MobileHCI 2017 with the presentation of 3 papers including 1 paper (honorable mention), 2 workshop papers, organizing a workshop and other activities throughout the conference.
SACHI Seminar: Benjamin Bach – Between Exploration and Explanation: Visualizations for Insights, Curiosity, and Storytelling
- When: 5th July 2017 15:00 - 16:00
- Where: Cole 1.33a
Please note that this seminar will now take place in Jack Cole 1.33A on Wednesday 5th July between 15:00 and 16:00
Title: Between Exploration and Explanation: Visualizations for Insights, Curiosity, and Storytelling.
Abstract: This talk presents a set of interactive visualizations for exploration and recent work in how to communicate insights through data-driven stories. In particular, I will present work on visualizing networks including an open-source online platform. Then, I will discuss comics as an approach to communicate not only changes in temporal data but to weave narration, textual explanations, and data visualizations. The questions raised by the talk are about effective ways to engage a larger audience in understanding, learning, and use of visualizations for exploration and communication. As visualizations are becoming more and more commonplace and familiar to people, we can see more and more aspects of our daily lives being potentially enriched with information presented visually. Eventually, I want to raise the question of which role novel technology such as Augmented and Virtual Reality can play in exploring, communicating, and interacting with visualizations.
Biography: Benjamin is a Lecturer in Design Informatics and Visualization at the University of Edinburgh. His research designs and investigates interactive information visualizations to help people explore, present, and understand information hidden in data. He focuses on the visualization of dynamic networks (e.g., social networks, brain connectivity networks), as well as temporal data (e.g., changes in videos and Wikipedia articles, events on timelines), comics for storytelling with visualizations, as well as visualization and interaction in Augmented and Virtual Reality. Before joining the University of Edinburgh in 2017, Benjamin worked as a postdoc at Harvard University, Monash University, as well as the Microsoft-Research Inria Joint Centre. Benjamin was visiting researcher at the University of Washington and Microsoft Research in 2015. He obtained his PhD in 2014 from the Université Paris Sud where he worked at the Aviz Group at Inria.