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17th International Joint Conference on Biomedical Engineering Systems and Technologies, BIOSTEC 2024

作者： Mali, Samira Annavarapu, Swetha Laboratory for Theoretical and Computational Molecular Biophysics Virginia Tech Blacksburg VA United States The Distributed Virtual Environments Lab Center for Human-Computer Interaction Virginia Tech BlacksburgVA United States 3ADP Inc AlpharettaGA United States

In this work, we created a network visualization to help you understand how Topologically Associating Do mains (TADs) interact with each other across the genome based on where the TAD is located, whether it is near the center of the nucleus or near the edge of the nucleus. This visualization can reveal how the dense regions and sparse regions of chromosome interactions are distributed in one view. The pilot study demonstrates how network visualization of TAD-TAD interactions can quickly answer numerous major questions in 3D genome and epigenetics field without requiring the development of Machine Learning methods or Algorithms to un lock Heatmap structures. The questions include but are not limited to, determining many-way interactions and interactions between TADs belonging to various epigenetic classes. © 2024 by SCITEPRESS–Science and Technology Publications, Lda.

关键词： Visualization

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Explaining autonomous drones: An XAI journey

Applied AI Letters

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Applied AI Letters 2021年第4期2卷

作者： Stefik, Mark Youngblood, Michael Pirolli, Peter Lebiere, Christian Thomson, Robert Price, Robert Nelson, Lester D. Krivacic, Robert Le, Jacob Mitsopoulos, Konstantinos Somers, Sterling Schooler, Joel Intelligent Systems Laboratory PARC A Xerox Company Palo Alto CA United States The Institute for Human and Machine Cognition Pensacola FL United States Human-Computer Interaction Institute School of Computer Science Carnegie Mellon University Pittsburgh PA United States Army Cyber Institute United States Military Academy New York NY United States

COGLE (COmmon Ground Learning and Explanation) is an explainable artificial intelligence (XAI) system where autonomous drones deliver supplies to field units in mountainous areas. The mission risks vary with topography, flight decisions, and mission goals. The missions engage a human plus AI team where users determine which of two AI-controlled drones is better for each mission. This article reports on the technical approach and findings of the project and reflects on challenges that complex combinatorial problems present for users, machine learning, user studies, and the context of use for XAI systems. COGLE creates explanations in multiple modalities. Narrative “What” explanations compare what each drone does on a mission and “Why” based on drone competencies determined from experiments using counterfactuals. Visual “Where” explanations highlight risks on maps to help users to interpret flight plans. One branch of the research studied whether the explanations helped users to predict drone performance. In this branch, a model induction user study showed that post-decision explanations had only a small effect in teaching users to determine by themselves which drone is better for a mission. Subsequent reflection suggests that supporting human plus AI decision making with pre-decision explanations is a better context for benefiting from explanations on combinatorial tasks. © 2021 PARC, a Xerox Company. Applied AI Letters published by John Wiley & Sons Ltd. This article has been contributed to by US Government employees and their work is in the public domain in the USA.

关键词： autonomous systems explainable artificial intelligence hierarchical multifunction modeling

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Correction to: Editorial

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International Journal of Social Robotics 2020年第1期12卷 297-297页

作者： Agnieszka Wykowska Shuzhi Sam Ge Oussama Khatib Social Cognition in Human-Robot Interaction Istituto Italiano Di Tecnologia Genoa Italy Social Robotics Laboratory Interactive Digital Media Institute The National University of Singapore Singapore Singapore Centre for Robotics UESTC Chengdu China Robotics Laboratory Department of Computer Science Stanford University Stanford USA

The following mistakes were inadvertently overlooked in the production of the Editorial of the January issue of Social Robotics.

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Correction to: Editorial

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International Journal of Social Robotics 2019年第6期15卷 1077-1077页

作者： Ge, Shuzhi Sam Wykowska, Agnieszka Khatib, Oussama Social Robotics Laboratory Smart Systems Institute Department of Electrical and Computer Engineering The National University of Singapore Singapore Singapore Institute for Future (IFF) Qingdao University Qingdao China Centre for Robotics UESTC Chengdu China Social Cognition in Human-Robot Interaction Istituto Italiano di Tecnologia Genoa Italy Artificial Intelligence Laboratory Department of Computer Science Stanford University Stanford USA

This is to inform you that the following sentence was inadvertently omitted from the final version

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Music, Computing, and Health: A Roadmap for the Current and Future Roles of Music Technology for Health Care and Well-Being

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Music and Science 2021年 4卷

作者： Agres, Kat R. Schaefer, Rebecca S. Volk, Anja van Hooren, Susan Holzapfel, Andre Dalla Bella, Simone Müller, Meinard de Witte, Martina Herremans, Dorien Ramirez Melendez, Rafael Neerincx, Mark Ruiz, Sebastian Meredith, David Dimitriadis, Theo Magee, Wendy L. Yong Siew Toh Conservatory of Music National University of Singapore Singapore Social and Cognitive Computing Department Institute of High Performance Computing A*STAR Singapore Institute for Psychology Health Medical Neuropsychology Unit Leiden University Leiden Netherlands Leiden Institute for Brain and Cognition Leiden University Leiden Netherlands Academy of Creative and Performing Arts Leiden University Leiden Netherlands Department of Information and Computing Sciences Utrecht University Utrecht Netherlands Faculty of Health care Department of Arts Therapies Zuyd University of Applied Sciences Heerlen Netherlands KenVaK Research Centre for the Arts Therapies and Psychomotricity Heerlen Netherlands Faculty of Psychology Open University of The Netherlands Heerlen Netherlands Division of Media Technology and Interaction Design KTH Royal Institute of Technology Stockholm Sweden International Laboratory for Brain Music and Sound Research (BRAMS) Outremont QC Canada Department of Psychology University of Montreal Montreal QC Canada Centre for Research on Brain Language and Music (CRBLM) Montreal QC Canada University of Economics and Human Sciences in Warsaw Warsaw Poland International Audio Laboratories Erlangen Friedrich-Alexander Universität Erlangen-Nürnberg Erlangen Germany HAN University of Applied Sciences Department of Arts Therapies and Psychological Studies Nijmegen Netherlands University of Amsterdam Research Institute of Child Development and Education Amsterdam Netherlands Treatment Centre for People with Mild Intellectual Disabilities and Psychiatric and Behavioral Disorders Gennep Netherlands Information Systems Technology and Design Singapore University of Technology and Design Singapore Music and Machine Learning Lab Music Technology Group Universitat Pompeu Fabra Barcelona Spain Faculty of EEMCS Interactive Intelligence Group Delft University of Technology Delft Netherlands Centre for Digital Music School of Electronic Engineerin

The fields of music, health, and technology have seen significant interactions in recent years in developing music technology for health care and well-being. In an effort to strengthen the collaboration between the involved disciplines, the workshop “Music, Computing, and Health” was held to discuss best practices and state-of-the-art at the intersection of these areas with researchers from music psychology and neuroscience, music therapy, music information retrieval, music technology, medical technology (medtech), and robotics. Following the discussions at the workshop, this article provides an overview of the different methods of the involved disciplines and their potential contributions to developing music technology for health and well-being. Furthermore, the article summarizes the state of the art in music technology that can be applied in various health scenarios and provides a perspective on challenges and opportunities for developing music technology that (1) supports person-centered care and evidence-based treatments, and (2) contributes to developing standardized, large-scale research on music-based interventions in an interdisciplinary manner. The article provides a resource for those seeking to engage in interdisciplinary research using music-based computational methods to develop technology for health care, and aims to inspire future research directions by evaluating the state of the art with respect to the challenges facing each field. © The Author(s) 2021.

关键词： health care interdisciplinarity MedTech music information retrieval (MIR) music neuroscience Music psychology music technology music therapy well-being

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Photos for documentation and communication in early childhood 13

Photos for documentation and communication in early childhoo...

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2013 2nd ACM Conference on computer Supported Cooperative Work Companion, CSCW 2013

作者： D'Angelo, Sarah Piper, Anne Marie Hollan, James D. Department of Cognitive Science University of California San Diego 9500 Gilman Drive San Diego CA 92093 United States Department of Communication Studies Northwestern University Evanston IL 60208 United States Department of Cognitive Science Distributed Cognition and Human-Computer Interaction Lab University of California San Diego 9500 Gilman Drive San Diego CA 92093 United States

ISBN: (纸本)9781450313322

Photos are important for a wide variety of documentation purposes, and they play a special role in documenting physical, cognitive, and social changes in young children. This research focuses on the use of photos as evidence of development in preschool children and as a communication medium for current and future interactions. Through field observations and interviews we analyze the use of photos in the process of developing a detailed portfolio of early childhood development. From the moment of capture to selection, analysis, and sharing, teachers carefully employ the properties of photos to construct and communicate evidence of development. We describe current photo documentation practices and propose a new system to enhance these practices. Copyright © 2012 by the Association for Computing Machinery, Inc. (ACM).

关键词： Image enhancement

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Let's look at the cockpit: Exploring mobile eye-tracking for observational research on the flight deck 12

Let's look at the cockpit: Exploring mobile eye-tracking for...

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7th Eye Tracking Research and Applications Symposium, ETRA 2012

作者： Weibel, Nadir Fouse, Adam Emmenegger, Colleen Kimmich, Sara Hutchins, Edwin Distributed Cognition and Human Computer Interaction Laboratory University of California San Diego United States

ISBN: (纸本)9781450312257

As part of our research on multimodal analysis and visualization of activity dynamics, we are exploring the integration of data produced by a variety of sensor technologies within ChronoViz, a tool aimed at supporting the simultaneous visualization of multiple streams of time series data. This paper reports on the integration of a mobile eye-tracking system with data streams collected from HD video cameras, microphones, digital pens, and simulation environments. We focus on the challenging environment of the commercial airline flight deck, analyzing the use of mobile eye tracking systems in aviation human factors and reporting on techniques and methods that can be applied in this and other domains in order to successfully collect, analyze and visualize eye-tracking data in combination with the array of data types supported by ChronoViz. © 2012 ACM.

关键词： Video cameras

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A pen-based toolkit for authoring collaborative language activities 12

A pen-based toolkit for authoring collaborative language act...

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ACM 2012 Conference on computer Supported Cooperative Work Companion, CSCW'12

作者： Piper, Anne Marie Weibel, Nadir Hollan, James D. Distributed Cognition and Human-Computer Interaction Lab. University of California San Diego 9500 Gilman Dr San Diego CA 92093 United States

ISBN: (纸本)9781450310512

Hybrid paper-digital interfaces enabled by digital pens are a promising approach for supporting collaborative language, communication, and socialization activities. Digital pens enhance interaction with traditional paper content by playing and recording audio and recognizing handwriting and gestures. Currently, generating custom interactive paper documents involves some programming, limiting its use by many user groups (e.g., educators and families) who might especially benefit from application of hybrid paper-digital interfaces in their practices. To address this need, we developed an end-user Toolkit for Authoring Pen and Paper Language Activities (TAP & PLAY). End-users are able to quickly create custom interactive materials to support collocated interaction between children, teachers, and family members. © 2012 Authors.

关键词： human computer interaction

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Digital pen and paper practices in observational research 12

Digital pen and paper practices in observational research

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

作者： Weibel, Nadir Fouse, Adam Emmenegger, Colleen Friedman, Whitney Hutchins, Ed Hollan, Jim Distributed Cognition and Human-Computer Interaction Lab. Department of Cognitive Science University of California San Diego 9500 Gilman Dr. San Diego CA 92093-0515 United States

ISBN: (纸本)9781450310154

Researchers from many disciplines are taking advantage of increasingly inexpensive digital video to capture extensive records of human activity in real-world settings. The ability to record and share such data has created a critical moment in the practice and scope of behavioral research. While recent work [3, 5] is beginning to develop techniques for visualizing and interacting with integrated multimodal information collected during field research, navigating and analyzing these large datasets remains challenging and tools are especially needed to support the early stages of data exploration. In this paper we describe digital pen and paper practices in observational research and their integration with ChronoViz [4], a tool for annotating, visualizing, and analyzing multimodal data. The goal is to better support researchers both in the field, while collecting data, and later in the lab, during analysis. We document the co-evolution of notetaking practices and system features as 28 participants used the tool during an 18-month deployment. Copyright 2012 ACM.

关键词： Behavioral research

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TAP & PLAY: An end-user Toolkit for Authoring interactive Pen and Paper Language Activities 12

TAP & PLAY: An end-user Toolkit for Authoring interactive Pe...

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

作者： Piper, Anne Marie Weibel, Nadir Hollan, James D. Distributed Cognition and Human-Computer Interaction Lab. Department of Cognitive Science University of California San Diego 9500 Gilman Dr. San Diego CA 92093-0515 United States

ISBN: (纸本)9781450310154

Hybrid paper-digital interfaces are a promising approach for supporting language activities. The familiarity of pen and paper makes it a particularly attractive media for many user groups, including young children. Digital pens enhance interaction with traditional paper content by playing and recording audio and recognizing handwriting and gestures. Currently, generating custom interactive paper documents involves some programming, limiting its use by many user groups (e.g., educators and families) who might especially benefit from application of hybrid paper-digital interfaces in their practices. To address this need, we developed an enduser Toolkit for Authoring Pen and Paper Language Activities (TAP & PLAY). This paper describes the iterative development of the toolkit, its accessibility for novice non-technical users, and use in three different contexts for early language learning. We demonstrate and document the system's usability, generality, and utility for people who want to create and tailor their own custom interactive paper-based language activities. Copyright 2012 ACM.

关键词： Character recognition

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