Tuesday 12pm, 3 May 2016
CHI Practice Talks
Laura Devendorf, Rundong Tian, Peggy Chi
- UC Berkeley
"I don’t want to wear a screen": Probing perceptions of and possibilities for dynamic displays on clothing
This paper explores the role dynamic textile displays play in relation to personal style: What does it mean to wear computationally responsive clothing and why would one be motivated to do so? We developed a novel textile display technology, called Ebb, and created several woven and crochet fabric swatches that explored clothing-specific design possibilities. We engaged fashion designers and non-designers in imagining how Ebb would integrate into their design practice or personal style of dressing. Participants evaluated the appeal and utility of clothing-based displays according to a very different set of criteria than traditional screen-based computational displays. Specifically, the slowness, low-resolution, and volatility of Ebb tended to be seen as assets as opposed to technical limitations in the context of personal style. Additionally, participants envisioned various ways that ambiguous, ambient, and abstract displays of information could prompt new experiences in their everyday lives. Our paper details the complex relationships between display and personal style and offers a new design metaphor and extension of Gaver et al.’s original descriptions of ambiguity in order to guide the design of clothing-based displays for everyday life.
Enhancing Cross-Device Interaction Scripting with Interactive Illustrations
Cross-device interactions involve input and output on multiple computing devices. Implementing and reasoning about interactions that cover multiple devices with a diversity of form factors and capabilities can be complex. To assist developers in programming cross-device interactions, we created DemoScript, a technique that automatically analyzes a cross-device interaction program while it is being written. DemoScript visually illustrates the step-by-step execution of a selected portion or the entire program with a novel, automatically generated cross-device storyboard visualization. In addition to helping developers understand the behavior of the program, DemoScript also allows developers to revise their program by interactively manipulating the cross-device storyboard. We evaluated DemoScript with 8 professional programmers and found that DemoScript significantly improved development efficiency by helping developers interpret and manage cross-device interaction; it also encourages testing to think through the script in a development process. [This work received a Best Paper Award at CHI 2016]
12:50pmMyPart: Personal, Portable, Accurate Airborne Particle Counting
In 2012, air pollution in both cities and rural areas was estimated to have caused 3.7 million premature deaths, 88% of those in at risk communities. The primary pollutant was small airborne particulate matter of 10 microns or less in diameter which led to the development of cardiovascular and respiratory diseases. In response, we developed MyPart, the first personal, portable, and accurate particle sensor under $50 capable of distinguishing and counting differently sized particles. We demonstrate how MyPart offers substantial enhancements over most existing air particle sensors by simultaneously improving accessibility, flexibility, portability, and accuracy. We describe the evolution and implementation of the sensor design, demonstrate its performance across twenty everyday urban environments versus a calibrated instrument, and conduct a preliminary user study to report on the overall user experience of MyPart. We also present a novel smart-phone visualization interface and a series of simple form factor adaptations of our design.
Laura Devendorf is a PhD candidate at the UC Berkeley School of Information with a Designated Emphasis in New Media. She is a human-computer interaction researcher who blends art with computer science and theory with practice to uncover new design territories in contexts like the maker movement and wearable technology. Her work has received multiple awards at top publication venues in the area of human-computer interaction, has been featured in juried art shows and design competitions, and was recently featured on National Public Radio.
Peggy Chi is a CS PhD candidate working with Professor Bjoern Hartmann at UC Berkeley. She develops interactive systems that support users' creativity and learning activities. Her research has received a Best Paper Award at ACM CHI, a Google PhD Fellowship, and a Berkeley Graduate Fellowship. Peggy earned her MS from the MIT Media Lab, where she was awarded as a lab fellow. She will be joining Google Research as a research scientist this summer.