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IEEE SENSORS

作者： Ahmed Farooq Hong Z. Tan Antoine Weill-Duflos Jeremy R. Cooperstock Roope Raisamo Tampere Unit of Computer Human Interaction Tampere University Tampere Finland Haptic Interface Research Lab Purdue University West Lafayette USA Shared Reality Lab CIM McGill University Montreal Canada

ISBN: (数字)9781728168012

ISBN: (纸本)9781728168029

The physical properties of an interaction surface can significantly alter the characteristics of a vibration signal during its transmission from the actuator to the point of contact. This distortion can integrate and attenuate the applied signal before it reaches the skin contact significantly altering the intended perception. Thus, efforts need to be made to identify and regulate vibration mediation throughout the entire device to achieve uniform global vibrotactile-feedback. Our research proposes a novel concept of 3D-printing Embedded Haptic Waveguides (EHWs) within the interaction surface to improve signal propagation. The EHWs are designed to lower impedance load, effectively creating multiple mediation channels to relay actuation throughout the device. To evaluate the efficiency of our EHW design we compare it to three commonly used off-the-shelf materials (Gorilla glass, Plexiglas, aluminum) and one unmodified 3D-printed ABS surface. Results indicate that the customized 3D-printed EHW surface was more efficient at signal propagation and created similar perceptual feedback throughout the entire surface for the applied signals. These findings suggest that the EHW design has the potential to enhance global-device actuation for surface-based interaction in mobile and handheld devices.

关键词： Surface impedance Mediation Haptic interfaces Vibrations Optical waveguides Actuators Surface waves

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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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DriverMHG: A Multi-Modal Dataset for Dynamic Recognition of Driver Micro Hand Gestures and a Real-Time Recognition Framework

DriverMHG: A Multi-Modal Dataset for Dynamic Recognition of ...

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International Conference on Automatic Face and Gesture Recognition

作者： Okan Köpüklü Thomas Ledwon Yao Rong Neslihan Kose Gerhard Rigoll Institute for Human-Machine Communication TU Munich Germany Institute of Informatics LMU Munich Germany Chair of Human-Computer Interaction University of Tuebingen Germany Dependability Research Lab Intel Labs Europe Intel Deutschland GmbH Germany

ISBN: (数字)9781728130798

ISBN: (纸本)9781728130804

The use of hand gestures provides a natural alternative to cumbersome interface devices for human-computer interaction (HCI) systems. However, real-time recognition of dynamic micro hand gestures from video streams is challenging for in-vehicle scenarios since (i) the gestures should be performed naturally without distracting the driver, (ii) micro hand gestures occur within very short time intervals at spatially constrained areas, (iii) the performed gesture should be recognized only once, and (iv) the entire architecture should be designed lightweight as it will be deployed to an embedded system. In this work, we propose an HCI system for dynamic recognition of driver micro hand gestures, which can have a crucial impact in automotive sector especially for safety related issues. For this purpose, we initially collected a dataset named Driver Micro Hand Gestures (DriverMHG), which consists of RGB, depth and infrared modalities. The challenges for dynamic recognition of micro hand gestures have been addressed by proposing a lightweight convolutional neural network (CNN) based architecture which operates online efficiently with a sliding window approach. For the CNN model, several 3-dimensional resource efficient networks are applied and their performances are analyzed. Online recognition of gestures has been performed with 3D-MobileNetV2, which provided the best offline accuracy among the applied networks with similar computational complexities. The final architecture is deployed on a driver simulator operating in real-time. We make DriverMHG dataset and our source code publicly available 1 .

关键词： Gesture recognition Face recognition Conferences

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DVP: Data visualization platform

arXiv

引用

arXiv 2019年

作者： Yousefa, Waleed A. Abouelkahire, Ahmed A. Marzouk, Omar S. Mohame, Sameh K Alaggan, Mohammad Human Computer Interaction Laboratory HCI Lab Computer Science Department Faculty of Computers and Information Helwan University

We identify two major steps in data analysis, data exploration for understanding and observing patterns/relationships in data;and construction, design and assessment of various models to formalize these relationships. For each step, there exists a large set of tools and software. For the first step, many visualization tools exist, such as, GGobi, Parallax, and Crystal vision, and most recently tableau and plottly. For the second step, many Scientific Computing Environments (SCEs) exist, such as, Matlab, Mathematica, R and Python. However, there does not exist a tool which allows for seamless two-way interaction between visualization tools and SCEs. We have designed and implemented a data visualization platform (DVP) with an architecture and design that attempts to bridge this gap. DVP connects seamlessly to SCEs to bring the computational capabilities to the visualization methods in a single coherent platform. DVP is designed with two interfaces, the desktop stand alone version and the online interface. To illustrate the power of DVP design, a free demo for the online interface of DVP is available [1] and very low-level design details are explained in this article. Since DVP was launched, circa 2012, the present manuscript was not published since today for commercialization and patent considerations. Copyright © 2019, The Authors. All rights reserved.

关键词： Data visualization

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QA-KGNet: A Language Model-Driven Knowledge Graph Question-Answering Model

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Ruan Jian Xue Bao/Journal of Software 2023年第10期34卷

作者： Qiao, Shao-Jie Yang, Guo-Ping Yu, Yong Han, Nan Qin, Xiao Qu, Lu-Lu Ran, Li-Qiong Li, He School of Software Engineering Chengdu University of Information Technology Chengdu610225 China Digital Media Art Key Laboratory of Sichuan Province Sichuan Conservatory of Music Chengdu610021 China School of Management Chengdu University of Information Technology Chengdu610225 China Guangxi Key Lab of Human-machine Interaction and Intelligent Decision Nanning Normal University Nanning530100 China School of Computer Science and Technology XiDian University Xi’an710071 China

The question-answering system based on knowledge graphs can analyze user questions, and has become an effective way to retrieve relevant knowledge and automatically answer the given questions. The knowledge graph-based question-answering system usually uses a neural program induction model to convert natural language question into a logical form, and the answer can be obtained by executing the logical form on the knowledge graph. However, the knowledge question-answering system by using pre-trained language models and knowledge graphs involves two challenges: 1) given the QA (Question-answering) context, relevant knowledge needs to be identified from a large KG (Knowledge Graph);2) we need to perform the joint reasoning on QA context and KG. Based on these challenges, a language model-driven knowledge graph question-answering model is proposed, which connects the QA context and KG to form a joint graph, and uses a language model to calculate the relevance of the given QA context nodes and KG nodes, and a multi-head graph attention network is employed to update the node representation. Extensive experiments on the CommonsenseQA, OpenBookQA and MedQA-USMLE real datasets are conducted to evaluate the performance of QA-KGNet and the experimental results show that QA-KGNet outperforms existing benchmark models and exhibits excellent structured reasoning capability. © 2023 Chinese Academy of Sciences. All rights reserved.

关键词： Knowledge graph

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Information management and monitoring system for a grapes harvesting robot

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IOP Conference Series: Materials Science and Engineering 2021年第1期1032卷

作者： K Tziridis A Nikolaou T Kalampokas E Vrochidou T Pachidis G A Papakostas V G Kaburlasos Human-Machines Interaction Laboratory (HUMAIN-Lab) Department of Computer Science International Hellenic University Agios Loukas 65404 Kavala Greece

In recent years, there has been an increasing integration of high technology in the execution of agricultural tasks towards improving the quality of the produced products, while reducing production costs. In this context, there is a special interest in the development of automatic agricultural robots (Agrobots) with advanced techniques of collecting, processing data, decision making and applying actions. A key element of the successful integration of such autonomous robots is the information management and monitoring system (IM2S) that accompanies it. This work presents the IM2S developed for an autonomous grapes harvesting robot, as part of a national project. Details regarding the system's design are presented, covering system requirements, functional specifications, Graphical User Interface (GUI) design, database design and system-robot communication. Along with the presentation of the IM2S design, the special functional and technological requirements that must be met, are also discussed. Thus, the system could be a useful tool for the human operator. Moreover, the designed system can be easily adapted to collaborate with any robot meeting specific communication requirements. This makes the proposed IM2S a universal tool for any grape harvesting Agrobot already deploy or will be developed in the future.

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When Positive Perception of the Robot Has No Effect on Learning

When Positive Perception of the Robot Has No Effect on Learn...

引用

IEEE International Workshop on Robot and human Communication (ROMAN)

作者： Jauwairia Nasir Utku Norman Barbara Bruno Pierre Dillenbourg Computer-Human Interaction in Learning and Instruction (CHILI) Lab Swiss Federal Institute of Technology in Lausanne (EPFL) Switzerland MOBOTS group within the Biorobotics Laboratory (BioRob) Swiss Federal Institute of Technology in Lausanne (EPFL) Switzerland

ISBN: (数字)9781728160757

ISBN: (纸本)9781728160764

humanoid robots, with a focus on personalised social behaviours, are increasingly being deployed in educational settings to support learning. However, crafting pedagogical HRI designs and robot interventions that have a real, positive impact on participants' learning, as well as effectively measuring such impact, is still an open challenge. As a first effort in tackling the issue, in this paper we propose a novel robot-mediated, collaborative problem solving activity for school children, called JUSThink, aiming at improving their computational thinking skills. JUSThink will serve as a baseline and reference for investigating how the robot's behaviour can influence the engagement of the children with the activity, as well as their collaboration and mutual understanding while working on it. To this end, this first iteration aims at investigating (i) participants' engagement with the activity (Intrinsic Motivation Inventory-IMI), their mutual understanding (IMIlike) and perception of the robot (Godspeed Questionnaire); (ii) participants' performance during the activity, using several performance and learning metrics. We carried out an extensive user-study in two international schools in Switzerland, in which around 100 children participated in pairs in one-hour long interactions with the activity. Surprisingly, we observe that while a teams' performance significantly affects how team members evaluate their competence, mutual understanding and task engagement, it does not affect their perception of the robot and its helpfulness, a fact which highlights the need for baseline studies and multi-dimensional evaluation metrics when assessing the impact of robots in educational activities.

关键词： Conferences humanoid robots Collaboration Particle measurements Collaborative work Task analysis Robots

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Corrigendum to “Exploring the use of arcade game elements for attitude change: Two studies in the aviation safety domain” [International Journal of human-computer Studies 127 (2019) 112–123]

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International Journal of human-computer Studies 2020年 133卷 71-71页

作者： Luca Chittaro Fabio Buttussi Human-Computer Interaction Lab University of Udine Italy

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Assessment of multiple-biomarker classifiers: Fundamental principles and a proposed strategy

arXiv

引用

arXiv 2019年

作者： Yousef, Waleed A. Computer Science Department Faculty of Computers and Information Helwan University Egypt Human Computer Interaction Laboratory [HCI Lab. Egypt

The multiple-biomarker classifier problem and its assessment are reviewed against the background of some fundamental principles from the field of statistical pattern recognition, machine learning, or the recently so-called "data science". A narrow reading of that literature has led many authors to neglect the contribution to the total uncertainty of performance assessment from the finite training sample. Yet the latter is a fundamental indicator of the stability of a classifier;thus its neglect may be contributing to the problematic status of many studies. A three-level strategy is proposed for moving forward in this field. The lowest level is that of construction, where candidate features are selected and the choice of classifier architecture is made. At that point, the effective dimensionality of the classifier is estimated and used to size the next level of analysis, a pilot study on previously unseen cases. The total (training and testing) uncertainty resulting from the pilot study is, in turn, used to size the highest level of analysis, a pivotal study with a target level of uncertainty. Some resources available in the literature for implementing this approach are reviewed. Although the concepts explained in the present article may be fundamental and straightforward for many researchers in the machine learning community they are subtle for many practitioners, for whom we provided a general advice for the best practice in [1] and elaborate here in the present paper. Copyright © 2019, The Authors. All rights reserved.

关键词： Uncertainty analysis

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Pharos: Improving Navigation Instructions on Smartwatches by Including Global Landmarks

arXiv

引用

arXiv 2019年

作者： Wenig, Nina Wenig, Dirk Ernst, Steffen Malaka, Rainer Hecht, Brent Schöning, Johannes Digital Media Lab TZIUniversity of Bremen Computing ResearchGroupNorthwestern University Human-Computer Interaction University of Bremen

Landmark-based navigation systems have proven benefits relative to traditional turn-by-turn systems that use street names and distances. However, one obstacle to the implementation of landmark-based navigation systems is the complex challenge of selecting salient local landmarks at each decision point for each user. In this paper, we present Pharos, a novel system that extends turn-by-turn navigation instructions using a single global landmark (e.g. the Eiffel Tower, the Burj Khalifa, municipal TV towers) rather than multiple, hard-to-select local landmarks. We first show that our approach is feasible in a large number of cities around the world through the use of computer vision to select global landmarks. We then present the results of a study demonstrating that by including global landmarks in navigation instructions, users navigate more confidently and build a more accurate mental map of the navigated area than using turn-by-turn instructions. Copyright © 2019, The Authors. All rights reserved.

关键词： Navigation

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