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IEEE International Symposium on Robot and human Interactive Communication

作者： Stephanie Embgen Matthias Luber Christian Becker-Asano Marco Ragni Vanessa Evers Kai O. Arras Social Robotics Lab Dept. of Computer Science University of Freiburg Dept. of Computer Science University of Freiburg Center of Cognitive Science University of Freiburg Human Media Interaction University of Twente

ISBN: (纸本)9781467346047

humans use very sophisticated ways of bodily emotion expression combining facial expressions, sound, gestures and full body posture. Like others, we want to apply these aspects of human communication to ease the interaction between robots and users. In doing so we believe there is a need to consider what abstraction of human social communicative behaviors is appropriate for robots. The study reported in this paper is a pilot study to not offer simulated emotion but to offer an abstracted robot version of emotion expressions and an evaluation to what extent users interpret these robot expressions as the intended emotional states. To this end, we present the mobile, mildly humanized robot Daryl, for which we created six motion sequences that combine human-like, animal-like, and robot-specific social cues. The results of a user study (N=29) show that despite the absence of facial expressions and articulated extremities, subjects' interpretation of Daryl's emotional states were congruent with the abstracted emotion display. These results demonstrate that abstract displays of emotion that combine human-like, animal-like, and robot-specific modalities could in fact be an alternative to complex facial expressions and will feed into ongoing work identifying robot-specific social cues.

关键词： Body Language Emotions Facial Expression Robot human Animals Personal Communication body position Nonverbal Communication Emotional States Congruent Consumers Abstraction

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Visually Exploring Social Participation in Encyclopedia of Life

Visually Exploring Social Participation in Encyclopedia of L...

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International Conference on Social Informatics (SocialInformatics)

作者： Jae-Wook Ahn Jennifer Hammock Cynthia Parr Jennifer Preece Ben Shneiderman Katja Schulz Derek Hansen Dana Rotman Yurong He Department of Computer Science & Human-Computer Interaction Lab University of Maryland USA Smithsonian Institution USA College of Information Studies University of Maryland USA School of Technology Brigham Young University USA

Social network visualization is useful for understanding the complex structure of collaborative efforts such as citizen science projects. It has been widely accepted by social network analysts for exploring and analyzing networks by visually showing their members, the relationships among them, and their behaviors and attributes. The strength of social network visualization can be increased even further, by incorporating the time dimension of evolving networks. We analyzed the conversation network of a collaborative citizen science web platform called the Encyclopedia of Life using dynamic network visualization methods. This paper shows how the temporal visualization was applied to the social collaboration analysis of EOL and presents the findings. We found that some EOL web site features increased the interactive as well as individual member activities. We also found evidence that EOL curator activities encouraged the activities of other members.

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Technology heirlooms? Considerations for passing down and inheriting digital materials 12

Technology heirlooms? Considerations for passing down and in...

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

作者： Odom, William Banks, Richard Harper, Richard Kirk, David Lindley, Siân Sellen, Abigail Carnegie Mellon University Human-Computer Interaction Institute Pittsburgh PA 15213 United States Microsoft Research Cambridge Cambridge CB3 0FB United Kingdom Newcastle University Culture Lab. Newcastle NE1 7RU United Kingdom

ISBN: (纸本)9781450310154

Material artifacts are passed down as a way of sustaining relationships and family history. However, new issues are emerging as families are increasingly left with the digital remains of their loved ones. We designed three devices to investigate how digital materials might be passed down, lived with and inherited in the future. We conducted inhome interviews with 8 families using the devices to provoke discussion about how technology might support (or complicate) their existing practices. Sessions revealed families desired to treat their archives in ways not fully supported by technology as well as potential tensions that could emerge. Findings are interpreted to detail design considerations for future work in this emerging space. Copyright 2012 ACM.

关键词： human computer interaction

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Protein-protein binding affinity prediction based on an SVR ensemble

Protein-protein binding affinity prediction based on an SVR ...

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8th International Conference on Intelligent Computing Technology, ICIC 2012

作者： Li, Xueling Zhu, Min Li, Xiaolai Wang, Hong-Qiang Wang, Shulin Intelligent Computing Lab. Hefei Institute of Intelligent Machines Chinese Academy of Sciences Hefei Anhui 230031 China Robot Sensor and Human-Machine Interaction Laboratory Hefei Institute of Intelligent Machines Chinese Academy of Sciences Hefei Anhui 230031 China School of Computer and Communication Hunan University Changsha Hunan 410082 China

ISBN: (纸本)9783642315879

Accurately predicting generic protein-protein binding affinities (PPBA) is essential to analyze the outputs of protein docking and may help infer real status of cellular protein-protein interaction sub-networks. However, accurate PPBA prediction is still extremely challenging. Machine learning methods are promising to address this problem. We propose a two-layer support vector regression (TLSVR) model to implicitly capture binding contributions that are hard to explicitly model. The TLSVR circumvents both the descriptor compatibility problem and the need for problematic modeling assumptions. Input features for TLSVR in first layer are scores of 2209 interacting atom pairs within each distance bin. The base SVRs are combined by the second layer to infer the final affinities. Leave-one-out validation on our heterogeneous data shows that the TLSVR method obtains a very good result of R=0.80 and SD=1.32 with real affinities. Comparison experiment further demonstrates that TLSVR is superior to the previous state-of-art methods in predicting generic PPBA. © 2012 Springer-Verlag.

关键词： Proteins

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Tactile feedback for button GUI on touch devices

Tactile feedback for button GUI on touch devices

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

作者： Shin, Heesook Lim, Jeong-Mook Lee, Jong-Uk Kyung, Ki-Uk Lee, Geehyuk Smart Interface Research Team Electronics and Telecommunications Research Institute 161 Gajeongno Yuseong-gu Daejeon Korea Republic of Smart Interface Research Team Electronics and Telecommunications Research Institute Korea Republic of Human Computer Interaction Lab Korea Advanced Institute of Science and Technology 335 Gwahangno Yuseong-gu Deajeon Korea Republic of

In this paper, we describe a tactile feedback for a button GUI activated by a tap gesture on mobile touch devices. We implemented a new HW platform based on a film-type actuator to obtain a large range of tactile expression. From the analysis of touch interaction and user tests, we designed tactile feedback patterns and evaluated them. Two experimental results showed rapid response time, short falling time, and patterns responding to 'Touch' and 'Release' user gestures are important elements for simulation of the feeling of physical button clicking. © 2012 Authors.

关键词： Graphical user interfaces

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The effect of task roles on the perceived usability of management tools

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Proceedings of the ASIST Annual Meeting 2012年第1期49卷 1-4页

作者： Xiao, Lu Quan-Haase, Anabel Human-Computer Interaction Lab. Faculty of Information and Media Studies University of Western Ontario London ON N6A 5B7 1151 Richmond Street Canada SocioDigital.info Lab. Faculty of Information and Media Studies University of Western Ontario London ON N6A 5B7 1151 Richmond Street Canada

We investigate how demands of a task create differing task roles with distinct levels of information uncertainty, information and cognitive load, and social responsibility. Pairs solved a standard matching game using tangrams under three different instant messaging (IM) tool conditions. We show that a participant's use and evaluation of the IM tool are largely based on their assigned task roles. The findings inform the testing and evaluation of future collaborative systems and visualization tools by demonstrating the relevance of task roles in the use and utility of these systems and tools.

关键词： Instant messaging (IM) Task roles Usability Visualization

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A hand-held AR magic lens with user-perspective rendering

A hand-held AR magic lens with user-perspective rendering

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International Symposium on Mixed and Augmented Reality (ISMAR)

作者： Domagoj Baričević Cha Lee Matthew Turk Tobias Höllerer Doug A. Bowman University of California Santa Barbara Santa Barbara CA US Four Eyes Lab University of California Santa Barbara Center for Human-Computer Interaction Virainia Tech

In this paper we present a user study evaluating the benefits of geometrically correct user-perspective rendering using an Augmented Reality (AR) magic lens. In simulation we compared a user-perspective magic lens against the common device-perspective magic lens on both phone-sized and tablet-sized displays. Our results indicate that a tablet-sized display allows for significantly faster performance of a selection task and that a user-perspective lens has benefits over a device-perspective lens for a selection task. Based on these promising results, we created a proof-of-concept prototype, engineered with current off-the-shelf devices and software. To our knowledge, this is the first geometrically correct user-perspective magic lens.

关键词： Lenses Cameras Games Performance evaluation Visualization Virtual reality Sensors

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Do You Know the Way to SNA?: A Process Model for Analyzing and Visualizing Social Media Network Data

Do You Know the Way to SNA?: A Process Model for Analyzing a...

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International Conference on Social Informatics (SocialInformatics)

作者： Derek L. Hansen Dana Rotman Elizabeth Bonsignore Nataa Milic-Frayling Eduarda Mendes Rodrigues Marc Smith Ben Shneiderman Brigham Young University Cambridge UK University of Maryland Human Computer Interaction Lab Cambridge UK Microsoft Research Cambridge UK University of Porto Portugal Connected Action USA

Traces of activity left by social media users can shed light on individual behavior, social relationships, and community efficacy. Tools and processes to make sense of social traces are essential for enabling practitioners to study and nurture meaningful and sustainable social interaction. Yet such tools and processes remain in their infancy. This paper describes a study of 15 graduate students who were learning to apply Social Network Analysis (SNA) to data from online communities. Their emergent practices were observed via a pre-post survey, diaries, observations, interviews, analysis of assignments and online class interactions, and a group modeling session. From this in-depth look, we derive the Network Analysis and Visualization (NAV) process model and use it to highlight stages where interaction with peers, experts, and features of the SNA tool were most useful. The important role of visualization in supporting networked thinking was essential, as was the iterative nature of goal formation, data structuring, and data analysis. The paper concludes with a discussion of how the NAV model informs the design of SNA tools and services and supports social media practitioners.

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Social discovery framework: Building capacity and seeking solutions 11

Social discovery framework: Building capacity and seeking so...

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8th ACM Conference on Creativity and Cognition, C and C 2011

作者： Shneiderman, Ben Department of Computer Science and Human-Computer Interaction Lab University of Maryland College ParkMD United States

ISBN: (纸本)9781450308205

While journalists often portray discovery as the thrilling insight of a brilliant individual, many discoveries require years of work by competing and collaborating teams. Often large amounts of foundational work are necessary and dialogs among participants help clarify goals. The Social Discovery Framework suggests that (1) there are important processes in building capacity and then seeking solutions and (2) those that initiate requests are often as important as those who seek solutions. The implications of the Social Discovery Framework are that improved social tools to build capacity, initiate requests, and support dialog would accelerate the discovery process as much as the more visible tools for individuals seeking solutions. Copyright 2011 ACM.

关键词： User interfaces

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Odd leaf out: Improving visual recognition with games

Odd leaf out: Improving visual recognition with games

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2011 IEEE International Conference on Privacy, Security, Risk and Trust, PASSAT 2011 and 2011 IEEE International Conference on Social Computing, SocialCom 2011

作者： Hansen, Derek L. Jacobs, David W. Lewis, Darcy Biswas, Arijit Preece, Jennifer Rotman, Dana Stevens, Eric Human-Computer Interaction Lab United States Department of Computer Science University of Maryland College Park MD United States

ISBN: (纸本)9780769545783

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. © 2011 IEEE.

关键词： computer vision

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