Press:
University of St Andrews: SWiM: an evolution in one-handed texting
TechCrunch: Tilt gesture keyboard could hold promise for typing in VR
Fast Co.Design: Why Don’t More UIs Use Accelerometers?
prosthetic knowledge: SWiM: Shape Writing in Motion
NewAtlas: Researchers create an app that makes you tilt and roll to type
The Scotsman: SWiM: an evolution in one-handed texting
Fife Today: Could this be the future of phone messaging?
Gizmodo Japan: 文字入力の方法を再発明。ボールを転がして文字を選んでタップ、片手での操作が簡単に
Engadet De: SWiM: Tippen durch Wackeln
Tweakers: Onderzoekers ontwikkelen typmethode die werkt met kantelbewegingen
Hi-News.ru: В Шотландии придумали принципиально новый способ ввода текста
Naked Science: Исследователи разработали новый способ ввода текста на мобильных устройствах
Sohu: 通过手势倾斜打字，有望成为VR输入方式之一
MobileGeeks: SWiM: Neue Tastatur-Eingabemethode für Einhandbedienung und VR
MacLife: SWiM: Das dürfte die Zukunft der Keyboards sein
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Full video:

Paper [PDF]
 

Members of SACHI will be at the upcoming CHI’17 conference.
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 CHI and you wish to discuss working with us please get in touch. You can find us helping and involved throughout CHI 2017 with the presentation of 5 papers including 2 full papers, 1 late breaking work paper, 2 workshop papers and other activities.
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Papers are due for this workshop on May 19th. In this workshop we are interested in object recognition work based on computer vision, radar (e.g. Project Soli by the Google ATAP (Advanced Technology and Projects)), acoustic sensing, tagging, smart objects etc. This workshop is on Sept 4th in Vienna, Austria in conjunction with MobileHCI 2017.
Full workshop details can be found here: http://sachi.cs.st-andrews.ac.uk/activities/workshops/mobilehci-17/

Pedagogy & Physicalization: Designing Learning Activities around Physical Data Representations
This workshop will be held as part of the DIS 2017 conference, June 10-14, Edinburgh, UK
For complete details please visit: http://dataphys.org/workshops/dis17/
 
Call for Participation  
In an age where data and their various representations proliferates many aspects of our professional and private lives, a new form of awareness and visual literacy is required that enables people to decipher, interpret, critically discuss and actively engage in activities around this public and/or personal data and its (visual) representations. Previous case studies have found Physicalization to be a productive way to introduce people of different ages, and with different backgrounds, to activities around data collection, processing, and representation.
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Last year we were awarded a Microsoft Surface hub and funding by Microsoft Research and Microsoft. This was based on our Academic Research Request Proposal for the “Intelligent Canvas for Data Analysis and Exploration”. We are pleased to announce our Surface Hub Crucible program for the summer of 2017 here in SACHI in the University of St Andrews.
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Press

• Gizmodo: Students Hacked a Chip to Give Your Smartphone a Sense of Touch
• Engadget: Google’s mini radar can identify virtually any object
• TheVerge: Google’s miniature radars can now identify objects
• Fast Co Design: Google’s Project Soli Can Now Identify Any Object

Curated video by Futurism, with more than 1.2 million views!

Congratulations to Hui-Shyong Yeo, Aaron Quigley and colleagues, who won best poster at UIST2016.
The Sidetap and Slingshot paper which appears in the Adjunct Proceedings of the 29th Annual Symposium on User Interface Software and Technology (UIST ’16) can be accessed via:

• The ACM SIGCHI OpenTOC page for the Adjunct Proceedings for UIST 2016 (search for SideTap), for free until Oct 2017
• Directly to the ACM Digital Library page for Sidetap and Slingshot
• Or via the University of St Andrews Research portal.

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RadarCat (Radar Categorization for Input & Interaction) was presented at UIST 2016 this week in Tokyo, Japan. RadarCat is a small, versatile radar-based system for material and object classification which enables new forms of everyday proximate interaction with digital devices.

The RadarCat paper which appears in the Proceedings of the 29th Annual Symposium on User Interface Software and Technology (UIST ’16) can be accessed via:

• The ACM SIGCHI OpenTOC page for UIST 2016
  (search for RadarCat), for free until Oct 2017
• Directly to the ACM Digital Library page for RadarCat
• Or via the University of St Andrews Research portal.

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Our lab (SACHI) in the University of St. Andrews last year applied for, and was selected to receive the Project Soli alpha developer kit along with 60 other groups around the world. Project Soli is a Radar based sensor that can sense micro and subtle motion of human fingers. You can see more about this project here: https://atap.google.com/soli/
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