This paper presents synthesized research on where XR is most effective within a museum setting and what impact XR might have on the visitor experience.
To better help museum visitors make sense of large data sets, also called “Big Data”, this study focused on the types of visual representations visitors recognize, and how they make meaning (or not) of various visuals. Individual adults and youths were shown five different data visualizations (one from each of five categories), one at a time, and asked if the visualization looked familiar and how it was read. This study found that Context and previous experience matters. Participants of all ages are familiar with a wide variety of visual displays of data. If a participant encounters a visual
This paper details a long-term evolving effort to provide evaluation instruction designed to address specific information needs for selected target groups from a centralized location within a networked environment. Additionally, this paper examines a content design process that focuses on user-centered data-appropriate evaluation methods where the content of the instructional system is comprehensive, organized, and presented for use by library researchers and practitioners in a variety of library settings and situational contexts. Specific examples of web-based evaluation instructional systems
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TEAM MEMBERS:
John SneadCharles McClureJohn BertotPaul Jaeger
This report combines the views of education researchers, technology developers, educators, and researchers in emerging fields such as educational data mining and technology-supported evidence-centered design to present an expanded view of approaches to evidence. It presents the case for why the transition to digital learning warrants a re-examination of how we think about educational evidence. The report describes approaches to evidence-gathering that capitalize on digital learning data and draws implications for policy, education practice, and R&D funding.
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TEAM MEMBERS:
U.S. Department of EducationOffice of Educational Technology
This report is the National Education Technology Plan (NETP) submitted by the U.S. Department of Education (ED) to Congress. It presents five goals with recommendations for states, districts, the federal government, and other stakeholders. Each goal addresses one of the five essential components of learning powered by technology: Learning, Assessment, Teaching, Infrastructure, and Productivity. The plan also calls for "grand challenge" research and development initiatives to solve crucial long-term problems that the ED believes should be funded and coordinated at a national level.
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TEAM MEMBERS:
U.S. Department of EducationDaniel AtkinsJohn BennettJohn Seely BrownAneesh ChopraChris DedeBarry FishmanLouis GomezMargaret HoneyYasmin KafaiMaribeth LuftglassRoy PeaJim PellegrinoDavid RoseCandace ThilleBrenda Williams
Finger-based touch input has become a major interaction modality for mobile user interfaces. However, due to the low precision of finger input, small user interface components are often difficult to acquire and operate on a mobile device. It is even harder when the user is on the go and unable to pay close attention to the interface. In this paper, we present Gesture Avatar, a novel interaction technique that allows users to operate existing arbitrary user interfaces using gestures. It leverages the visibility of graphical user interfaces and the casual interaction of gestures. Gesture Avatar
Multi-Touch technology provides a successful gesture based Human Computer Interface. The contact and gesture recognition algorithms of this interface are based on full hand function and, therefore, are not accessible to many people with physical disability. In this paper, we design a set of command-like gestures for users with limited range and function in their digits and wrist. Trajectory and angle features are extracted from these gestures and passed to a recurrent neural network for recognition. Experiments are performed to test the feasibility of gesture recognition system and determine
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
In this paper we describe two projects that utilize reality-based interaction to advance collaborative scientific inquiry and discovery. We discuss the relation between reality-based and embodied interaction, and present findings from an experimental study that illustrate benefits of reality-based tabletop interaction for collaborative inquiry-based learning.
New mobile devices with large multi-touch displays, such as the iPad, have brought revolutionary changes to ways users interact with computers. Instead of traditional input devices such as keyboards, touchpads and mice, multi-touch gestures are used as the primary means of interacting with mobile devices. Surprisingly, body-motion gestures are evolving to become a new, natural, and effective way for game players to interact with game consoles in a very similar fashion: in Kinect for Xbox 360, a controller-free gaming experience is made possible by using body-motion gestures to play games.
Direct-touch interaction on mobile phones revolves around screens that compete for visual attention with users‟ real-world tasks and activities. This paper investigates the impact of these situational impairments on touch-screen interaction. We probe several design factors for touch-screen gestures, under various levels of environmental demands on attention, in comparison to the status-quo approach of soft buttons. We find that in the presence of environmental distractions, ges-tures can offer significant performance gains and reduced attentional load, while performing as well as soft buttons
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TEAM MEMBERS:
Andrew BragdonEugene NelsonYang LiKen Hinckley