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5th International Conference on human Aspects of IT for the Aged Population, ITAP 2019, held as part of the 21st International Conference on human-computer interaction, HCI International 2019

作者： Kluge, Johanna Hildebrandt, Julian Ziefle, Martina Chair of Communication Science Human Computer Interaction Center RWTH Aachen Campus-Boulevard 57 Aachen52074 Germany

ISBN: (纸本)9783030220143

Digitization is progressing intensively, in particular in the world of work. Thereby, intelligent systems, mobile devices, cloud computing, and social media change the development of work and employment by (in parts) replacing employees or changing ways of production. In line with demographic change and in order to face economic, societal, and demographic challenges of a future labor market, it is necessary to consider the integration of aging employees. Therefore, this paper investigates the perception of motivational factors and stress factors triggered by technology in the working context. In addition, factors influencing the individual perception of strains are analyzed. For this purpose, an online survey was conducted (N = 507) asking for agreement to motivational and stressing factors in the context of increasing digital working environments. The results show that the overall motivational factors received a similar evaluation pattern for younger and older participants. However, the younger employees showed stronger agreements to all motivational aspects. Additionally, the results show that the perception of techno-stress factors was significant lower in the older aged group compared to the younger aged group. The study’s findings highlight the importance of user diversity for a successful and healthy transformation to a digital work environment putting employees needs and requirements into the center. © 2019, Springer Nature Switzerland AG.

关键词： Personnel

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DEMONSTRATING DATA-TO-KNOWLEDGE PIPELINES FOR CONNECTING PRODUCTION SITES IN THE WORLD WIDE LAB A PREPRINT

arXiv

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arXiv 2024年

作者： Gorisen, Leon Schneider, Jan-Niklas Behery, Mohamed Brauner, Philipp Lennartz, Moritz Kotter, David Kaster, Thomas Petrovic, Oliver Hinke, Christian Gries, Thomas Lakemeyer, Gerhard Ziefle, Martina Brecher, Christian Hafner, Constantin Chair for Laser Technology RWTH Aachen University Aachen52074 Germany Knowledge Based Systems Group RWTH Aachen University Aachen52074 Germany Communication Science RWTH Aachen University Aachen52074 Germany Chair of Textile Technology RWTH Aachen University Aachen52074 Germany Laboratory for Machine Tools and Production Engineering RWTH Aachen University Aachen52074 Germany Human Computer Interaction Center RWTH Aachen University Aachen52074 Germany Fraunhofer Institute for Laser Technology Aachen52074 Germany

The digital transformation of production requires new methods of data integration and storage, as well as decision making and support systems that work vertically and horizontally throughout the development, production, and use cycle. In this paper, we propose Data-to-Knowledge (and Knowledge-to-Data) pipelines for production as a universal concept building on a network of Digital Shadows (a concept augmenting Digital Twins). We show a proof of concept that builds on and bridges existing infrastructure to 1) capture and semantically annotates trajectory data from multiple similar but independent robots in different organisations and use cases in a data lakehouse and 2) an independent process that dynamically queries matching data for training an inverse dynamics foundation model for robotic control. The article discusses the challenges and benefits of this approach and how Data-to-Knowledge pipelines contribute efficiency gains and industrial scalability in a World Wide Lab as a research outlook. Copyright © 2024, The Authors. All rights reserved.

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Bodily expressed emotion understanding through integrating Laban movement analysis

arXiv

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arXiv 2023年

作者： Wu, Chenyan Davaasuren, Dolzodmaa Shafir, Tal Tsachor, Rachelle Wang, James Z. Data Science and Artificial Intelligence Area College of Information Sciences and Technology The Pennsylvania State University University ParkPA16802 United States The Emili Sagol Creative Arts Therapies Research Center University of Haifa Haifa Israel School of Theatre and Music University of Illinois ChicagoIL60607 United States Human-Computer Interaction Area College of Information Sciences and Technology The Pennsylvania State University University ParkPA16802 United States

Body movements carry important information about a person’s emotions or mental state and are essential in daily communication. Enhancing the ability of machines to understand emotions expressed through body language can improve the communication of assistive robots with children and elderly users, provide psychiatric professionals with quantitative diagnostic and prognostic assistance, and aid law enforcement in identifying deception. This study develops a high-quality human motor element dataset based on the Laban Movement Analysis movement coding system and utilizes that to jointly learn about motor elements and emotions. Our long-term ambition is to integrate knowledge from computing, psychology, and performing arts to enable automated understanding and analysis of emotion and mental state through body language. This work serves as a launchpad for further research into recognizing emotions through analysis of human movement. Copyright © 2023, The Authors. All rights reserved.

关键词： computer vision

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E-ffective: A visual analytic system for exploring the emotion and effectiveness of inspirational speeches

arXiv

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arXiv 2021年

作者： Maher, Kevin Huang, Zeyuan Song, Jiancheng Deng, Xiaoming Lai, Yu-Kun Ma, Cuixia Wang, Hao Liu, Yong-Jin Wang, Hongan Institute of Software Chinese Academy of Sciences Tsinghua University China State Key Laboratory of Computer Science Beijing Key Lab of Human-Computer Interaction Institute of Software Chinese Academy of Sciences University of Chinese Academy of Sciences China Cardiff University United Kingdom Alibaba Group China Tsinghua University China

What makes speeches effective has long been a subject for debate, and until today there is broad controversy among public speaking experts about what factors make a speech effective as well as the roles of these factors in speeches. Moreover, there is a lack of quantitative analysis methods to help understand effective speaking strategies. In this paper, we propose E-ffective, a visual analytic system allowing speaking experts and novices to analyze both the role of speech factors and their contribution in effective speeches. From interviews with domain experts and investigating existing literature, we identified important factors to consider in inspirational speeches. We obtained the generated factors from multi-modal data that were then related to effectiveness data. Our system supports rapid understanding of critical factors in inspirational speeches, including the influence of emotions by means of novel visualization methods and interaction. Two novel visualizations include E-spiral (that shows the emotional shifts in speeches in a visually compact way) and E-script (that connects speech content with key speech delivery information). In our evaluation we studied the influence of our system on experts' domain knowledge about speech factors. We further studied the usability of the system by speaking novices and experts on assisting analysis of inspirational speech effectiveness. Copyright © 2021, The Authors. All rights reserved.

关键词： Visualization

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The understanding of congruent and incongruent referential gaze in 17-month-old infants: an eye-tracking study comparing human and robot (vol 10, pg 11918, 2020)

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SCIENTIFIC REPORTS 2020年第1期10卷 1-10页

作者： Manzi, F. Ishikawa, M. Di Dio, C. Itakura, S. Kanda, T. Ishiguro, H. Massaro, D. Marchetti, A. Research Unit on Theory of Mind Department of Psychology Università Cattolica del Sacro Cuore Milan Italy School of Graduated Letter Department of Psychology Kyoto University Kyoto Japan Centre for Baby Science Doshisha University Kyoto Japan Human-Robot Interaction Laboratory Department of Computer Science Kyoto University Kyoto Japan Advanced Telecommunications Research Institute International IRC/HIL Keihanna Science City Kyoto Japan Department of Systems Innovation Osaka University Toyonaka Japan

An amendment to this paper has been published and can be accessed via a link at the top of the paper.

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Hybrid Long Short-Term Motor Optimization and Control of a Walking Exoskeleton

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IEEE Transactions on Robotics 2025年 41卷 3820-3840页

作者： Huang, Pengbo Li, Zhijun Zhou, Mengchu Li, Guoxin Song, Yang Cui, Rongxin Tongji University School of Mechanical Engineering Translational Research Center Shanghai Yangzhi Rehabilitation Hospital Shanghai Sunshine Rehabilitation Center Shanghai 200092 China Shanghai Key Laboratory of Wearable Robotics and Human-Machine Interaction Shanghai 201804 China New Jersey Institute of Technology Department of Electrical and Computer Engineering Newark 07102 NJ United States Tongji University School of Electronic and Information Engineering Shanghai China Northwestern Polytechnical University School of Marine Science and Technology Xi'an 710072 China

This paper proposes a hybrid long short-term motor (HLSM) optimization and control approach for a walking exoskeleton. It consists of long-term global optimization, short-term local optimization, human-in-the-loop trajectory adaptation, and hybrid cerebellar model articulation controller (HCMAC). In the long-term global optimization, a graphic Spiking Neural Network (SNN) is utilized for an optimal global path. Along the path, the short-term motor optimization includes footstep optimization and obtains a sequence of footsteps. While in response to the unexpected obstacles along the footstep sequence, a human-in-the-loop planning strategy is designed by a virtual impedance model between the Centers of Mass (COMs) of the human and the exoskeleton, regulating the COM of the exoskeleton and generating footstep adaptation of the exoskeleton such that the exoskeleton can avoid obstacles and maintain its original global trajectory. Moreover, considering the unmodeled dynamics, we propose an HCMAC based on an integral Lyapunov function , which is exploited to counteract the system's nonlinear uncertainties, external disturbances, and reduces a relatively high computational cost. We validate the effectiveness of the HLSM planner and controller in a practical indoor setting. The results demonstrate the effectiveness of HLSM planning and control in a real scenario for a walking exoskeleton. © 2004-2012 IEEE.

关键词： human-in-the-loop hybrid cerebellar model articulation controller (HCMAC) Long short-term motor optimization walking exoskeleton

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A virtual reality methodology for cardiopulmonary resuscitation training with and without a physical mannequin

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Journal of Biomedical Informatics 2020年 111卷 103590-103590页

作者： Buttussi, Fabio Chittaro, Luca Valent, Francesca Human-Computer Interaction Lab Department of Mathematics Computer Science and Physics University of Udine Udine Italy SOC Istituto di Igiene ed Epidemiologia Clinica Azienda Sanitaria Universitaria Friuli Centrale Udine Italy

Background: Cardiopulmonary resuscitation (CPR) is an emergency procedure that can increase survival after a cardiac arrest. Performing CPR effectively requires both procedural knowledge and manual skills. Traditional CPR training methodology includes lessons led by instructors and supervised practice on mannequins, thus requiring considerable resources. Objective: This paper proposes a new methodology for low-cost CPR training based on virtual reality (VR) with and without the addition of a physical mannequin. Moreover, it describes an experimental evaluation of the methodology that assessed gain in manual skills during training, transfer of procedural knowledge and manual skills in a final assessment, and changes in self-efficacy with three measurements over time (pre-training, post-training, and post-assessment). Methods: We implemented a VR application that supports the proposed methodology, and can thus be used with or without a mannequin. The experimental evaluation involved 30 participants who tried CPR in VR twice, performing two repetitions of 30 chest compressions per trial. Half participants tried the VR application with the mannequin and half without it. Final assessment required all participants to perform CPR on the mannequin without the assistance of VR. To assess self-efficacy, participants filled in a questionnaire at the three times of measurement. Results: Mixed-design ANOVAs showed effects of repetition, effects of group, or interaction between the two variables on manual skills assessed during training. In the final assessment, participants in both groups correctly remembered most of the steps of the procedure. ANOVAs revealed differences between the two groups only in pressure-related skills (better with mannequin) and in the number of wrong steps added to the procedure (better without mannequin). Mixed-design ANOVA showed a self-efficacy increase in both groups after training, which was maintained after final assessment. Conclusions: The propo

关键词： Resuscitation

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Supporting child–group interactions with hands-off museum exhibit

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International Journal of Child-computer interaction 2021年 27卷

作者： Kotut, Lindah Hoang, Ann Panda, Havisha Shenk, Jennifer Newbill, Phyllis Kellogg, Derek Scott McCrickard, D. Department of Computer Science Virginia Tech Blacksburg VA United States Center for Human Computer Interaction Virginia Tech Blacksburg VA United States Institute of Creativity Arts and Technology (ICAT) Virginia Tech Blacksburg VA United States Science Museum of Western Virginia Roanoke VA United States

Technology can be used to augment visitors’ experience with a museum exhibit and provide museum visitors with means of interacting with otherwise hands-off exhibits. However, introducing technology to support interactivity has the likelihood of usurping users’ attention from the exhibit or diminishing interactions with other visitors. Our approach to this problem involves supporting hands-on interactions for groups visiting a pollinator garden—a science museum exhibit containing fragile species where touching is discouraged. Through interviews with museum experts and docents, we elicited design goals that we then enfolded into an Android application that leverages visual recognition to support interactions with the exhibit. We tested our application in-situ with 65 children in three groups and subsequently propose and describe design approaches that uses the ethos of scaling to support different number of users and leveling to varied cognitive levels. We conclude by recommending reusable designs guidelines to support interactions within other evolving and hands-off contexts. © 2020 Elsevier B.V.

关键词： Child–group interaction Child–mobile interactions Hands-off exhibits Museum

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GroundTruth: Augmenting expert image geolocation with crowdsourcing and shared representations

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Proceedings of the ACM on human-computer interaction 2019年第CSCW期3卷 1-30页

作者： Venkatagiri, Sukrit Thebault-Spieker, Jacob Kohler, Rachel Purviance, John Mansur, Rifat Sabbir Luther, Kurt Department of Computer Science and Center for Human-Computer Interaction Virginia Tech ArlingtonVA United States BNSF Railway Company Fort WorthTX United States Bloomberg L.P New YorkNY United States

Expert investigators bring advanced skills and deep experience to analyze visual evidence, but they face limits on their time and attention. In contrast, crowds of novices can be highly scalable and parallelizable, but lack expertise. In this paper, we introduce the concept of shared representations for crowd–augmented expert work, focusing on the complex sensemaking task of image geolocation performed by professional journalists and human rights investigators. We built GroundTruth, an online system that uses three shared representations—a diagram, grid, and heatmap—to allow experts to work with crowds in real time to geolocate images. Our mixed-methods evaluation with 11 experts and 567 crowd workers found that GroundTruth helped experts geolocate images, and revealed challenges and success strategies for expert–crowd interaction. We also discuss designing shared representations for visual search, sensemaking, and beyond. © 2019 Copyright held by the owner/author(s). Publication rights licensed to ACM.

关键词： crowd crowd-augmented expert work crowdsourcing expert geolocation investigation journalism misinformation real-time crowdsourcing sensemaking shared representations verification visual search

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"Point-of-care manufacturing": Maker perspectives on digital fabrication in medical practice

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Proceedings of the ACM on human-computer interaction 2019年第CSCW期3卷 1-23页

作者： Lakshmi, Udaya Hofmann, Megan Valencia, Stephanie Wilcox, Lauren Mankoff, Jennifer Arriaga, Rosa I. School of Interactive Computing Georgia Institute of Technology AtlantaGA United States Human Computer Interaction Institute Carnegie Mellon University PittsburghPA United States Paul G. Allen School of Computer Science University of Washington SeattleWA United States

Maker culture is on the rise in healthcare with the adoption of consumer-grade fabrication technologies. However, little is known about the activities and resources involved in prototyping medical devices to improve patient care. In this paper, we refer to such activity as medical making to report findings based on a qualitative study of stakeholder engagement in physical prototyping (making) experiences. We examine perspectives from diverse stakeholders including clinicians, engineers, administrators, and medical researchers. Through 18 semi-structured interviews with medical-makers in the US and Canada, we analyze making activity in medical settings. We find that medical makers share strategies to address risks, adopt labor roles, and acquire resources within traditional medical practice. Our findings outline how medical-makers mitigate risks for patient safety, collaborate with local and global stakeholder networks, and overcome constraints of co-location and material practices. We recommend a clinician-aided software system, partially-open repositories, and a collaborative skill-sharing social network to extend their strategies in support of medical making. © 2019 Association for Computing Machinery.

关键词： 3D printing clinicians healthcare innovation maker making medicine

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