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International Symposium on Haptic Interfaces for Virtual Environment and Teleoperator Systems (HAPTICS)

作者： J. Kang K. Cho J. Ryu Human-Machine-Computer Interface Laboratory Department of Mechatronics GIST Gwangju South Korea Department of Interaction Science Sungkyunkwan University Seoul South Korea

In the previous research, the vibrotactile flow that can be generated by the excitation pattern utilizing structural resonance phenomena of a thin plate was smoother than the vibrotactile flow generated by the conventional apparent tactile movement and phantom sensation methods. This paper further investigates effects of three design parameters (signal-duration, time-interval between the two actuating signals, cutoff-time) in the excitation pattern on the smoothness of the vibrotactile flow. User study results show that the time-interval between the two actuating signals is the most important parameter while the signal-duration is the second. This fact can be effectively used when designing an excitation pattern that can generate smoother vibrotactile flow.

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Changing requirements to HCI funding: A global perspective

Changing requirements to HCI funding: A global perspective

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30th ACM Conference on human Factors in Computing Systems, CHI 2012

作者： Evers, Vanessa Brewster, Stephen Lazar, Jonathan Liu, Zhengjie Marsden, Gary Prates, Raquel Nijboer, Femke Human Media Interaction University of Twente Enschede 7500 AE Netherlands School of Computing Science University of Glasgow Glasgow G12 8QQ United Kingdom Universal Usability Laboratory Towson University Towson MD 8000 United States Sino-European Usability Center Dalian Maritime University Dalian 116026 China Department of Computer Science University of Cape Town Cape Town South Africa Department of Computer Science Universidade Federal de Minas Gerais Belo Horizonte MG Brazil

The requirements for funding for HCI research are changing globally. In this SIG meeting, we will review with panel members and high-level grant decision makers from different continents and countries how the requirem... 详细信息

ISBN: (纸本)9781450310161

关键词： Decision making

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Claiming success, charting the future: Micro-HCI and macro-HCI

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interactions 2011年第5期18卷 10-11页

作者： Shneiderman, Ben Department of Computer Science Human-Computer Interaction Laboratory University of Maryland College Park United States

HCI professionals have developed design principles, guidelines, and standards dealing with consistency, informative feedback, error prevention, shortcuts for experts, and user control. Micro-HCI researchers can take comfort in dealing with wellstated requirements, clear benchmark tasks, established measures of human performance, and effective predictive models, such as Fitts' Law. Macro-HCI researchers and developers design and build interfaces in expanding areas, such as affective experience, aesthetics, motivation, social participation, trust, empathy, responsibility, and privacy. Although micro-HCI and macro-HCI have healthy overlaps, they attract different types of researchers, practitioners, and activists, thereby further broadening the scope and impact of HCI in general. Since commercial, social, legal, and ethical considerations play an increasing role in all areas of HCI, educational curricula and professional practices need to be updated regularly;midcareer continuing education for HCI professionals will help keep them current.

关键词： Benchmarking

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Inferring method specifications from natural language API descriptions 12

Inferring method specifications from natural language API de...

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International Conference on Software Engineering (ICSE)

作者： Rahul Pandita Xusheng Xiao Hao Zhong Tao Xie Stephen Oney Amit Paradkar Department of Computer Science North Carolina State University Raleigh USA Laboratory for Internet Software Technologies Institute of Software Chinese Academy of Sciences Beijing China Human-Computer Interaction Institute Carnegie Mellon University Pittsburgh USA IBM Thomas J. Watson Research Center Hawthorne NY USA

ISBN: (纸本)9781467310673

Application Programming Interface (API) documents are a typical way of describing legal usage of reusable software libraries, thus facilitating software reuse. However, even with such documents, developers often overlook some documents and build software systems that are inconsistent with the legal usage of those libraries. Existing software verification tools require formal specifications (such as code contracts), and therefore cannot directly verify the legal usage described in natural language text in API documents against code using that library. However, in practice, most libraries do not come with formal specifications, thus hindering tool-based verification. To address this issue, we propose a novel approach to infer formal specifications from natural language text of API documents. Our evaluation results show that our approach achieves an average of 92% precision and 93% recall in identifying sentences that describe code contracts from more than 2500 sentences of API documents. Furthermore, our results show that our approach has an average 83% accuracy in inferring specifications from over 1600 sentences describing code contracts.

关键词： Contracts Semantics Natural languages Libraries Law Accuracy

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Tragic errors: Usability and electronic health records

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interactions 2011年第6期18卷 60-63页

作者： Shneiderman, Ben Department of Computer Science Human-Computer Interaction Laboratory College Park United States Institute for Advanced Computer Studies University of Maryland College Park United States

Several steps that need to be followed to ensure better reporting and tracking of medical errors are presented. One of steps is to use improved electronic health records (EHR) user-interface designs that offer healthcare providers shorter learn-times, faster performance, and lower interface error rates. A second step should be agreements on user interface consistency and data interoperability among the 100-plus developers of EHR. Such guidelines for consistency and data sharing, common in other industries, would allow healthcare professionals who work at more than one location to do their jobs more efficiently and safely. Guidelines for user interfaces and public reporting of usability testing for errors would lay the foundation for changes in the way data is handled. The independent oversight panels, convened by healthcare providers, professional organizations, and government agencies, would specify improvements in information technologies and processes for software developers, hospitals, and labs.

关键词： User interfaces

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Supporting an integrated paper-digital workflow for observational research 11

Supporting an integrated paper-digital workflow for observat...

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2011 15th ACM International Conference on Intelligent User Interfaces, IUI'11

作者： Weibel, Nadir Fouse, Adam Hutchins, Edwin Hollan, James D. Distributed Cognition and Human-Computer Interaction Laboratory Department of Cognitive Science University of California San Diego United States

ISBN: (纸本)9781450304191

The intertwining of everyday life and computation, along with a new generation of inexpensive digital recording devices and storage facilities, is revolutionizing our ability to collect and analyze human activity data. Such ubiquitous data collection has an exciting potential to augment human cognition and radically improve information-intensive work. In this paper we introduce a system to aid the process of data collection and analysis during observational research by providing non-intrusive automatic capture of paper-based annotations. The system exploits current note-taking practices and incorporates digital pen technology. We describe the development, deployment and use of the system for interactive visualization and annotation of multiple stream of video and other types of time-based data. © 2011 ACM.

关键词： Data visualization

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DataPrism: A tool for visualizing multimodal data

DataPrism: A tool for visualizing multimodal data

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7th International Conference on Methods and Techniques in Behavioral Research, MB'10

作者： Fouse, Adam S. Hollan, James D. Distributed Cognition and Human-Computer Interaction Laboratory Department of Cognitive Science University of California San Diego 9500 Gilman Drive San Diego CA 92093 United States

ISBN: (纸本)9781605589268

We present DataPrism, a new interactive visualization tool to aid analysis of multimodal activity data. DataPrism enables analysts to visualize, annotate, and link multiple time-based data streams, including video, log files, and paper-based digital notes. Automated analysis is supported through a plug-in mechanism. A usage scenario is employed to describe DataPrism's current facilities. © ACM 2010.

关键词： Data visualization

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Identifying Infeasible GUI Test Cases Using Support Vector Machines and Induced Grammars

Identifying Infeasible GUI Test Cases Using Support Vector M...

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IEEE International Conference on Software Testing Verification and Validation Workshop, ICSTW

作者： Robert Gove Jorge Faytong Human-Computer Interaction Laboratory Institute for Advanced Computer Studies Department of Computer Science University of Maryland College Park MD USA Department of Computer Science University of Maryland College Park MD USA

Model-based GUI software testing is an emerging paradigm for automatically generating test suites. In the context of GUIs, a test case is a sequence of events to be executed which may detect faults in the application. However, a test case may be infeasible if one or more of the events in the event sequence are disabled or made inaccessible by a previously executed event (e.g., a button may be disabled until another GUI widget enables it). These infeasible test cases terminate prematurely and waste resources, so software testers would like to modify the test suite execution to run only feasible test cases. Current techniques focus on repairing the test cases to make them feasible, but this relies on executing all test cases, attempting to repair the test cases, and then repeating this process until a stopping condition has been met. We propose avoiding infeasible test cases altogether by predicting which test cases are infeasible using two supervised machine learning methods: support vector machines (SVMs) and grammar induction. We experiment with three feature extraction techniques and demonstrate the success of the machine learning algorithms for classifying infeasible GUI test cases in several subject applications. We further demonstrate a level of robustness in the algorithms when training and classifying test cases of different lengths.

关键词： Graphical user interfaces Grammar Support vector machines Machine learning Testing Machine learning algorithms Software

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HCI for peace: From idealism to concrete steps

HCI for peace: From idealism to concrete steps

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作者： Hourcade, Juan Pablo Nelson, Mark Bullock-Rest, Natasha E. Ben, Shneiderman Friedman, Batya Zaphiris, Panayiotis Department of Computer Science University of Iowa Iowa City IA 52242 United States Stanford Peace Innovation Lab. Stanford University Stanford CA 94305 United States Department of Computer Science University of Iowa Iowa City IA 52242 United States Human-Computer Interaction Laboratory University of Maryland College Park MD 20742 United States Information School University of Washington Seattle WA 98105 United States Department of Multimedia and Graphic Arts Cyprus University of Technology Limassol 3603 Cyprus

ISBN: (纸本)9781450302289

This panel will contribute diverse perspectives on the use of computer technology to promote peace and prevent armed conflict. These perspectives include: the use of social media to promote democracy and citizen participation, the role of computers in helping people communicate across division lines in zones of conflict, how persuasive technology can promote peace, and how interaction design can play a role in post-conflict reconciliation.

关键词： Social networking (online)

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Odd Leaf Out: Improving Visual Recognition with Games

Odd Leaf Out: Improving Visual Recognition with Games

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IEEE International Conference on and IEEE International Confernece on Social Computing (SocialCom) Privacy, Security, Risk and Trust (PASSAT)

作者： Derek L. Hansen David W. Jacobs Darcy Lewis Arijit Biswas Jennifer Preece Dana Rotman Eric Stevens College of Information Studies (iSchool) and Human-Computer Interaction Laboratory University of Maryland College Park MD USA Department of Computer Science University of Maryland College Park MD USA

A growing number of projects are solving complex computational and scientific tasks by soliciting human feedback through games. Many games with a purpose focus on generating textual tags for images. In contrast, we introduce a new game, Odd Leaf Out, which provides players with an enjoyable and educational game that serves the purpose of identifying misclassification errors in a large database of labeled leaf images. The game uses a novel mechanism to solicit useful information from players' incorrect answers. A study of 165 players showed that game data can be used to identify mislabeled leaves much more quickly than would have been possible using a computer vision algorithm alone. Domain novices and experts were equally good at identifying mislabeled images, although domain experts enjoyed the game more. We discuss the successes and challenges of this new game, which can be applied to other domains with labeled image datasets.

关键词： Games Labeling computer vision humans Classification algorithms Accuracy Vegetation

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