For many years, the HCI community has harbored a vision of interacting with intelligent, embodied computer agents. However, the reality of this vision remains elusive. From an interaction design perspective, little is...
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Networks have remained a challenge for information retrieval and visualization because of the rich set of tasks that users want to accomplish. This paper offers an abstract Content-Actor network data model, a classifi...
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Networks have remained a challenge for information retrieval and visualization because of the rich set of tasks that users want to accomplish. This paper offers an abstract Content-Actor network data model, a classification of tasks, and a tool to support them. The NetLens interface was designed around the abstract Content-Actor network data model to allow users to pose a series of elementary queries and iteratively refine visual overviews and sorted lists. This enables the support of complex queries that are traditionally hard to specify. NetLens is general and scalable in that it applies to any data set that can be represented with our abstract data model. This paper describes the use of NetLens with a subset of the ACM Digital Library consisting of about 4000 papers from the CHI conference written by about 6000 authors, and reports on a usability study with nine participants.
Time-series forecasting has a large number of applications. Users with a partial time series for auctions, new stock offerings, or industrial processes desire estimates of the future behavior. We present a data driven...
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Time-series forecasting has a large number of applications. Users with a partial time series for auctions, new stock offerings, or industrial processes desire estimates of the future behavior. We present a data driven forecasting method and interface called similarity-based forecasting (SBF). A pattern matching search in an historical time series dataset produces a subset of curves similar to the partial time series. The forecast is displayed graphically as a river plot showing statistical information about the SBF subset. A forecasting preview interface allows users to interactively explore alternative pattern matching parameters and see multiple forecasts simultaneously. User testing with 8 users demonstrated advantages and led to improvements.
This paper presents the results of a panel discussion titled “The Future of HRI,” held during an NSF workshop for graduate students on human-robot interaction in August 2006. The panel divided the workshop into grou...
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ISBN:
(纸本)9781595936172
This paper presents the results of a panel discussion titled “The Future of HRI,” held during an NSF workshop for graduate students on human-robot interaction in August 2006. The panel divided the workshop into groups tasked with inventing models of the field, and then asked these groups their opinions on the future of the field. In general, the workshop participants shared the belief that HRI can and should be seen as a single scientific discipline, despite the fact that it encompasses a variety of beliefs, methods, and philosophies drawn from several “core” disciplines in traditional areas of study. HRI researchers share many interrelated goals, participants felt, and enhancing the lines of communication between different areas would help speed up progress in the field. Common concerns included the unavailability of common robust platforms, the emphasis on human perception over robot perception, and the paucity of longitudinal real-world studies. The authors point to the current lack of consensus on research paradigms and platforms to argue that the field is not yet in the phase that philosopher Thomas Kuhn would call “normal science,” but believe the field shows signs of approaching that phase.
Software for interactive whiteboards in the classroom usually combines tools for showing prefabricated presentations with annotation features. Instead of encouraging students to participate by contributing, this desig...
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Software for interactive whiteboards in the classroom usually combines tools for showing prefabricated presentations with annotation features. Instead of encouraging students to participate by contributing, this design promotes a teacher-centered interaction in the classroom. Through literature review, observation, and interviews with teachers we identified pedagogical and situational limitations of this approach and derived design guidelines. We developed an application with an open space interface for interactive whiteboards. It applies a gesture-based interaction paradigm and allows teachers and students to flexibly create, structure, present and document learning materials. Within collaborative learning activities multiple students may synchronously access the whiteboard through pen-tablets.
Even though handhelds have been discussed as an ideal means to support "learning in the wild", a seamless integration with classroom technologies is usually missing. This paper discusses a system for student...
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Even though handhelds have been discussed as an ideal means to support "learning in the wild", a seamless integration with classroom technologies is usually missing. This paper discusses a system for students called MCPresenter that facilitates both performing and documenting learning experiences outside the classroom and bringing them into more formal settings for discussion and further development. It supports collaborative learning and applies the same gesture-based interaction principles as software for interactive whiteboards, enabling seamless transition between inside and outside as well as facilitating individual work, peer-to-peer interaction and group discussions.
GenePath is an automated system for reasoning about genetic networks, wherein a set of genes have various influences on one another and on a biological outcome. It acts on a set of experiments in which genes are knock...
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This paper presents the results of a panel discussion titled "The Future of HRI," held during an NSF workshop for graduate students on human-robot interaction in August 2006. The panel divided the workshop i...
详细信息
ISBN:
(纸本)1595936173
This paper presents the results of a panel discussion titled "The Future of HRI," held during an NSF workshop for graduate students on human-robot interaction in August 2006. The panel divided the workshop into groups tasked with inventing models of the field, and then asked these groups their opinions on the future of the field. In general, the workshop participants shared the belief that HRI can and should be seen as a single scientific discipline, despite the fact that it encompasses a variety of beliefs, methods, and philosophies drawn from several "core" disciplines in traditional areas of study. HRI researchers share many interrelated goals, participants felt, and enhancing the lines of communication between different areas would help speed up progress in the field. Common concerns included the unavailability of common robust platforms, the emphasis on human perception over robot perception, and the paucity of longitudinal real-world studies. The authors point to the current lack of consensus on research paradigms and platforms to argue that the field is not yet in the phase that philosopher Thomas Kuhn would call "normal science," but believe the field shows signs of approaching that phase. Copyright 2007 ACM.
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