Creating multiple prototypes facilitates comparative reasoning, grounds team discussion, and enables situated exploration. However, current interface design tools focus on creating single artifacts. This paper introduces the Juxtapose code editor and runtime environment for designing multiple alternatives of both application logic and interface parameters. For rapidly comparing code alternatives, Juxtapose>introduces selectively parallel source editing and execution.
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TEAM MEMBERS:
Björn HartmannLoren YuAbel AllisonYeonsoo YangScott R. Klemmer
This paper explores the interactive possibilities enabled when the barrel of a digital pen is augmented with a multi-touch sensor. We present a novel multi-touch pen (MTPen) prototype and discuss its alternate uses beyond those of a standard stylus, such as allowing new touch gestures to be performed using the index finger or thumb and detecting how users grip the device as a mechanism for mode switch-ing. We also discuss the hardware and software implemen-tation challenges in realizing our prototype, and showcase how one can combine different grips (tripod, relaxed tripod, sketch, wrap) and
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TEAM MEMBERS:
Jim SpadacciniHyunyoung SongHrvoje BenkoFrancois GuimbretiereShahram IzadiXiang CaoKen Hinckley
During its first year, more than 1500 people signed up to be a part of Open Exhibits. Participation ranged from reading blog posts, to trying a few software modules or using Open Exhibits software to develop actual exhibition components. This report highlights findings about the emerging community and trends in Open Exhibits participation.
Proton is a novel framework that addresses both of these problems. Using Proton, the application developer declaratively specifies each gesture as a regular expression over a stream of touch events. Proton statically analyzes the set of gestures to report conflicts, and it automatically creates gesture recognizers for the entire set. To simplify the creation of complex multitouch gestures, Proton introduces gesture tablature, a graphical notation that concisely describes the sequencing of multiple interleaved touch actions over time.
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TEAM MEMBERS:
Jim SpadacciniKenrick KinBjörn HartmannTony DeRoseManeesh Agrawala
Modern smartphones contain sophisticated sensors to monitor three-dimensional movement of the device. These sensors permit devices to recognize motion gestures— deliberate movements of the device by end-users to invoke commands. However, little is known about best-practices in motion gesture design for the mobile computing paradigm. To address this issue, we present the results of a guessability study that elicits end-user motion gestures to invoke commands on a smartphone device. We demonstrate that consensus exists among our participants on parameters of movement and on mappings of motion
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TEAM MEMBERS:
Jim SpadacciniJaime RuizYang LiEdward Lank