In a previous post, we announced our International Journal of Child-Computer Interaction article “Children (and Adults) Benefit From Visual Feedback during Gesture Interaction on Mobile Touchscreen Devices” was accepted for publication. Quite a long while later, we’re pleased that the definitive version is finally available online here. Please cite this version wherever applicable.
Tag Archives: child-computer interaction
My lab has had two papers accepted to workshops at the upcoming ACM Interaction Design and Children conference, to be held later this month in Boston, MA. The first paper is for the Innovations in Interaction Design and Learning workshop, and reports what we’ve learned on the MTAGIC project so far regarding using HCI principles to design effective educational technology. See the paper here.
The other is for the Every Child a Coder? Research Challenges for a 5-18 Programming Curriculum workshop, and is a paper first-authored by my Ph.D. student Jeremiah Blanchard on his vision for open research challenges in transitioning students from blocks-based to “real” programming languages. His co-advisor and my colleague Christina Gardner-McCune is also an author. You can read the paper here.
We’re looking forward to the conference!
My colleagues, Radu-Daniel Vatavu and Quincy Brown, and I, have combined our efforts on exploring touch interaction for children on a paper which has been accepted to the INTERACT 2015 conference! The paper, titled “Child or Adult? Inferring Smartphone Users’ Age Group from Touch Measurements Alone,” showed the results of our experiments to classify whether a user is a young child (ages 3 to 6) or an adult from properties of their touch input alone. Radu used his dataset of 3 to 6 year olds and supplemented with our MTAGIC dataset. The abstract is as follows:
We present a technique that classifies users’ age group, i.e., child or adult, from touch coordinates captured on touch-screen devices. Our technique delivered 86.5% accuracy (user-independent) on a dataset of 119 participants (89 children ages 3 to 6) when classifying each touch event one at a time and up to 99% accuracy when using a window of 7+ consecutive touches. Our results establish that it is possible to reliably classify a smartphone user on the fly as a child or an adult with high accuracy using only basic data about their touches, and will inform new, automatically adaptive interfaces for touch-screen devices.
You can download the camera-ready version of the paper here. Radu will be presenting our work at INTERACT, which will be held in Bamberg, Germany, in September. I’ll post the talk when available!
The INIT Lab has applied for and received a gift of several high-resolution tablets from Wacom, Inc. This work will help us examine more features of children’s touch and gesture interaction using the specialized sensors available with this technology. Stay tuned for the results of this exciting new research!
Thank you, Wacom!
I’m excited to announce I’ve been invited to be a keynote speaker at the upcoming University of Iowa Obermann Center Working Symposium entitled “Designing the Digital Future: A Human-Centered Approach to Informatics.” I’ll be giving a version of my research talk, “Understanding, Designing, and Developing Natural User Interfaces for Children.” I’m honored to be part of an amazing slate of HCI speakers, including Mary-Beth Rosson, Ron Wakkary, Celine Latulipe, Tammy Clegg, and Lisa Nathan. It will be much colder in Iowa City compared to Florida this time of year, but I’m sure our good company and rich conversations will keep us warm! Thank you, Juan-Pablo Hourcade, for the invitation.