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International Symposium on Medical Robotics (ISMR)

作者： Marta Lagomarsino Vincent Groenhuis Maura Casadio Marcel K. Welleweerd Françoise J. Siepel Stefano Stramigioli Robotics and Mechatronics (RAM) Laboratory Faculty of Electrical Engineering Mathematics and Computer Science University of Twente Enschede The Netherlands University of Genoa Genoa Italy Human-Robot Interfaces and Physical Interaction (HRII) Laboratory Istituto Italiano di Tecnologia Genoa Italy Politecnico di Milano Milan Italy

ISBN: (纸本)9781665406239

A biopsy is the only diagnostic procedure for accurate histological confirmation of breast cancer. When sonographic placement is not feasible, a Magnetic Resonance Imaging(MRI)-guided biopsy is often preferred. The lack of real-time imaging information and the deformations of the breast make it challenging to bring the needle precisely towards the tumour detected in pre-interventional Magnetic Resonance (MR) images. The current manual MRI-guided biopsy workflow is inaccurate and would benefit from a technique that allows real-time tracking and localisation of the tumour lesion during needle insertion. This paper proposes a robotic setup and software architecture to assist the radiologist in targeting MR-detected suspicious tumours. The approach benefits from image fusion of preoperative images with intraoperative optical tracking of markers attached to the patient’s skin. A hand-mounted biopsy device has been constructed with an actuated needle base to drive the tip toward the desired direction. The steering commands may be provided both by user input and by computer guidance. The workflow is validated through phantom experiments. On average, the suspicious breast lesion is targeted with a radius down to 2.3 mm. The results suggest that robotic systems taking into account breast deformations have the potentials to tackle this clinical challenge.

关键词： Target tracking Biopsy Phantoms Breast Needles Real-time systems Skin

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Investigating Electrotactile Feedback on The Hand

Investigating Electrotactile Feedback on The Hand

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

作者： Yosuef Alotaibi John H Williamson Stephen Brewster School of computing science University of Glasgow Glasgow Scotland Lecturer in the School of Computing Science University of Glasgow Glasgow Scotland Professor of Human-Computer Interaction University of Glasgow Glasgow Scotland

ISBN: (数字)9781728102344

ISBN: (纸本)9781728102351

Electrotactile feedback can be used as a novel method to evoke different sensations on the skin. However, there is a lack of research exploring electrotactile feedback on the palm. This paper presents two experiments that investigate the effects of manipulating pulse width, amplitude and frequency of electrical stimulation on perceived sensations (urgency, annoyance, valence and arousal) on the palm. In the first study, we manipulated pulse width and frequency. The results showed that both parameters have a significant effect on the perceived sensations, except for frequency not having an effect on valence. Also, frequencies of 30Hz and above did not influence the perceived sensations. In the second study, we manipulated amplitude and frequency. The results showed that both parameters have a significant effect on perceived sensations, especially for frequencies lower than 30Hz. From both experiments, the increment of pulse width and amplitude led to a higher rating for urgency, annoyance and arousal. These results gives us a better understanding of the parameter space of electrotactile feedback to enable designers to create effective electrotactile feedback.

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Sustainability in the Internet of Production: Interdisciplinary Opportunities and Challenges

Sustainability in the Internet of Production: Interdisciplin...

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International Symposium on Technology and Society (ISTAS)

作者： Sebastian Bernhard Sebastian Pütz Calvin Röhl Ralph Baier Philipp Brauner Ester Christou Hannah Dammers Roman Flaig Leon M. Gorißen Jan-Christoph Heilinger Christian Hinke István Koren Dirk Lüttgens Michael Millan Kai Müller Alexander Schollemann Luisa Vervier Thomas Gries Alexander Mertens Saskia K. Nagel Frank T. Piller Günther Schuh Martina Ziefle Verena Nitsch Carmen Leicht-Scholten Gender and Diversity in Engineering RWTH Aachen University Aachen Germany Institute of Industrial Engineering and Ergonomics RWTH Aachen University Aachen Germany Human-Computer Interaction Center RWTH Aachen University Aachen Germany Institute for Technology and Innovation Management RWTH Aachen University Aachen Germany Institut für Textiltechnik RWTH Aachen University Aachen Germany Chair for Laser Technology RWTH Aachen University Aachen Germany Human Technology Center/Applied Ethics RWTH Aachen University Aachen Germany Chair of Process and Data Science RWTH Aachen University Aachen Germany Laboratory for Machine Tools and Production Engineering RWTH Aachen University Aachen Germany

The vision of the Internet of Production (loP) is focused on optimizing manufacturing processes, with the help of Industry 4.0 technologies (14Ts). However, considering global megatrends such as climate change and the need to achieve the Sustainable Development Goals (SDGs), it is a growing imperative for the manufacturing industry to become more sustainable. This opens the door to transforming the IoP into an Internet of Sustainable Production (loSP). Accordingly, this paper proposes a novel four-step loSP-framework that establishes an Information System (IS) allowing researchers and practitioners to acknowledge and adapt to the interconnected nature of sustainability. Further, to test its applicability, an inter- and cross-disciplinary perspective is adopted to illustrate case-related challenges, opportunities, and pathways - revealed by the proposed framework - in the example of a digital economy for sustainability data, strategic design of global production networks, human-robot collaboration, digital photonic production, and the textile industry. Together, the framework demonstrates the usefulness of generating holistic information on the interconnected nature of sustainability derived from process-specific and contextualized data, while simultaneously assessing the framework's utilization for sustainability, as well as the sustainability of its use.

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Influence of multi-modality on moving target selection in virtual reality

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Virtual Reality & Intelligent Hardware 2019年第3期1卷 303-315页

作者： Yang LI Dong WU Jin HUANG Feng TIAN Hong'an WANG Guozhong DAI Beijing Key Laboratory of Human-Computer Interaction Institute of SoftwareChinese Academy of SciencesBeijing 100190China State Key Laboratory of Computer Science Chinese Academy of SciencesBeijing 100190China Institute of Remote Sensing and Digital Earth Chinese Academy of SciencesBeijing 100190China University Chinese Academy Sciences Beijing 100190China

Background Owing to recent advances in virtual reality(VR)technologies,effective user interaction with dynamic content in 3D scenes has become a research *** target selection is a basic interactive task in which the user performance research in tasks is significant to user interface design in *** from the existing static target selection studies,the moving target selection in VR is affected by the change in target speed,angle and size,and lack of research on some key *** This study designs an experimental scenario in which the users play badminton under the condition of *** adding seven kinds of modal clues such as vision,audio,haptics,and their combinations,five kinds of moving speed and four kinds of serving angles,and the effect of these factors on the performance and subjective feelings in moving target selection in VR,is *** The results show that the moving speed of the shuttlecock has a significant impact on the user *** angle of service has a significant impact on hitting rate,but has no significant impact on the hitting *** acquisition of the user performance by the moving target is mainly influenced by vision under the combined modalities;adding additional modalities can improve user *** the hitting distance of the target is increased in the trimodal condition,the hitting rate *** This study analyses the results of user performance and subjective perception,and then provides suggestions on the combination of modality clues in different scenarios.

关键词： Multimodal Moving target selection Virtual reality

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vieCap4H-VLSP 2021: Vietnamese Image Captioning for Healthcare Domain using Swin Transformer and Attention-based LSTM

arXiv

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arXiv 2022年

作者： Nguyen, Thanh Tin Nguyen, Long H. Pham, Nhat Truong Nguyen, Liu Tai Do, Van Huong Nguyen, Hai Nguyen, Ngoc Duy Human Computer Interaction Lab Sejong University Seoul Korea Republic of Faculty of Information Technology Ton Duc Thang University Ho Chi Minh City Viet Nam Division of Computational Mechatronics Institute for Computational Science Ton Duc Thang University Ho Chi Minh City Viet Nam Faculty of Electrical and Electronics Engineering Ton Duc Thang University Ho Chi Minh City Viet Nam ASICLAND Suwon Korea Republic of Khoury College of Computer Sciences Northeastern University Boston United States Institute for Intelligent Systems Research and Innovation Deakin University Victoria Australia

This study presents our approach on the automatic Vietnamese image captioning for healthcare domain in text processing tasks of Vietnamese Language and Speech Processing (VLSP) Challenge 2021, as shown in Figure 1. In recent years, image captioning often employs a convolutional neural network-based architecture as an encoder and a long short-term memory (LSTM) as a decoder to generate sentences. These models perform remarkably well in different datasets. Our proposed model also has an encoder and a decoder, but we instead use a Swin Transformer in the encoder, and a LSTM combined with an attention module in the decoder. The study presents our training experiments and techniques used during the competition. Our model achieves a BLEU4 score of 0.293 on the vietCap4H dataset, and the score is ranked the 3rd place on the private leaderboard. Our code can be found at https://***/JDdJm. © 2022, CC BY.

关键词： Long short-term memory

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Designing Troubleshooting Support Cards for Novice End-User Developers of Physical Computing Prototypes 1

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7th International Symposium on End-User Development, IS-EUD 2019

作者： Booth, Tracey Bird, Jon Stumpf, Simone Jones, Sara Centre for Human-Computer Interaction Design City University of London London United Kingdom Centre for Creativity in Professional Practice City University of London London United Kingdom Department of Computer Science University of Bristol Bristol United Kingdom

ISBN: (数字)9783030247812

ISBN: (纸本)9783030247805

Previous work has shown that end-user developers (EUDs) find diagnosing and fixing circuit bugs in physical computing prototypes challenging. This paper reports on the design of a card deck to support troubleshooting by novice EUDs. The deck provides EUDs with ideas for different troubleshooting tactics and guides them in their use by encouraging reflection to help build EUDs’ troubleshooting knowledge and skill. We describe the design process and the resulting card deck. Our work contributes a new way of supporting EUDs in troubleshooting physical computing prototypes. © 2019, Springer Nature Switzerland AG.

关键词： Design

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A self-report measure of end-user security attitudes (SA-6) 19

A self-report measure of end-user security attitudes (SA-6)

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Proceedings of the Fifteenth USENIX Conference on Usable Privacy and Security

作者： Cori Faklaris Laura Dabbish Jason I. Hong Human-Computer Interaction Institute School of Computer Science Carnegie Mellon University Pittsburgh PA

ISBN: (纸本)9781939133052

We present SA-6, a six-item scale for assessing people's security attitudes that we developed by following standardized processes for scale development. We identify six scale items based on theoretical and empirical research with sufficient response variance, reliability, and validity in a combined sample (N = 478) from Amazon Mechanical Turk and a university-based study pool. We validate the resulting measure with a U.S. Census-tailored Qualtrics panel (N = 209). SA-6 significantly associates with selfreport measures of behavior intention and recent secure behaviors. Our work contributes a lightweight method for (1) quantifying and comparing people's attitudes toward using recommended security tools and practices, and (2) improving predictive modeling of who will adopt security behaviors.

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Facial Landmark Localization Robust on the Eyes with Position Regression Network

Facial Landmark Localization Robust on the Eyes with Positio...

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International Conference on Ubiquitous Robots and Ambient Intelligence (URAI)

作者： Chanwoong Kwak Jaeyoon Jang Hosub Yoon Department of Computer Software and Engineering Korea University of Science and Technology Daejeon Republic of Korea Human-Machine Interaction Research Group Electronics and Telecommunications Research Institute Daejeon Republic of Korea

ISBN: (数字)9781728157153

ISBN: (纸本)9781728157160

Facial landmark localization is essential for robot-human interaction. In particular, the human eye is more important because it can grasp a person's interests. However, the traditional method does not consider eye changes from the dataset, so the limitation is clear, this paper presents a data augmentation method for acquiring various eye images and a method for creating a robust eye landmark model with 2-stage training. Experiments on augmented 300W-LP datasets show that our method outperforms performance than the previous method.

关键词： Face Training Three-dimensional displays Two dimensional displays Measurement computer vision

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AlloHaptic: Robot-Mediated Haptic Collaboration for Learning Linear Functions*

AlloHaptic: Robot-Mediated Haptic Collaboration for Learning...

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IEEE International Workshop on Robot and human Communication (ROMAN)

作者： Hala Khodr Soheil Kianzad Wafa Johal Aditi Kothiyal Barbara Bruno Pierre Dillenbourg Computer Human Interaction in Learning and Instruction Laboratory (CHILI) Swiss Federal Institute of Technology (EPFL) Lausanne Switzerland Department of Computer Science University of British Columbia University of New South Wales Sydney Australia MOBOTS Group in BIOROB EPFL Lausanne

ISBN: (数字)9781728160757

ISBN: (纸本)9781728160764

Collaborative learning appears in a joint intellectual efforts of individuals to understand an object of knowledge collectively. In their search for understanding the problems, meanings, and solutions, learners employ different multi-modal strategies. In this work, we explore the role of force feedback in learners interaction with tangible hand-held robots. We designed a collaborative learning environment to provide embodied intuitions on linear mathematical functions combined with graphical representations and ran a first study involving 24 participants. Our analysis shows a positive learning gain for our learning activity. Moreover, to explore the link between different types of force feedback and learners' collaboration, we designed a focus group study with 12 participants. Our results suggest that the haptic communication channel affects the collaboration dynamic differently according to the nature of the learning task. We finish by proposing design insights for future exploration of haptic in collaborative learning.

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Designing with Genes in Early Childhood: An exploratory user study of the tangible CRISPEE technology

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International Journal of Child-computer interaction 2020年 26卷

作者： Strawhacker, Amanda Verish, Clarissa Shaer, Orit Bers, Marina Umaschi Department of Child Study and Human Development Tufts University 105 College Ave Medford 02155 MA United States Department of Computer Science Human-Computer Interaction Lab 106 Central Street Wellesley 02481 MA United States

Biodesign, a speculative and creative offshoot from the field of bioengineering, is an area of STEM that is growing in popularity in education settings, primarily because of its unique interdisciplinary lens that connects STEM disciplinary knowledge and creative design practices. Although this trend is currently limited to middle school, high school, and higher education, prior research suggests that children 5 years and older, may yield long-term gains from exploring developmentally-appropriate concepts from novel STEM fields. Although there is little research on educational technologies or resources to support young children's curiosity and learning in this novel domain, some research suggests that young children may already be forming preconceptions about genetics and biology (e.g., from popular media). Tangible technologies, which provide children qualitatively new, developmentally appropriate ways to engage with ideas and techniques, have been shown to support children's engagement with foundational ideas relevant to biodesign, including the engineering design process. By applying developmentally appropriate constraints to our technology development (e.g., through frameworks such as the Positive Technological Development), the research team developed and evaluated a novel tangible technology called CRISPEE to introduce young children to concepts of biology and engineering. This article describes an experimental pilot study to investigate (1) how young children interact with the CRISPEE technological prototype, and (2) what prior knowledge the average child might bring to an educational biodesign activity. Implications for ongoing technology development and developmentally appropriate learning goals are discussed. © 2020 Elsevier B.V.

关键词： Biodesign Child–computer interaction Early childhood Novel technology STEM education

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