2020 IEEE International Conference on Human-Machine Systems (ICHMS)最新文献_第3页

Smart City Dashboards: Design, Development, and Evaluation 智慧城市仪表板:设计、开发和评估

2020 IEEE International Conference on Human-Machine Systems (ICHMS) Pub Date : 2020-09-01 DOI: 10.1109/ICHMS49158.2020.9209493

Qiannan Han, P. Nesi, G. Pantaleo, I. Paoli

引用次数: 4

Mining the electrification potential of fuel-based vehicles mobility patterns: a data-based approach 挖掘基于燃料的车辆移动模式的电气化潜力:基于数据的方法

2020 IEEE International Conference on Human-Machine Systems (ICHMS) Pub Date : 2020-09-01 DOI: 10.1109/ICHMS49158.2020.9209557

Francesco Zinnari, S. Strada, M. Tanelli, S. Formentin, Gianluca Savaia, S. Savaresi

引用次数: 6

Human-Robot Interaction for Assisted Object Grasping by a Wearable Robotic Object Manipulation Aid for the Blind 一种可穿戴的盲人机器人物体操作辅助装置用于辅助物体抓取的人机交互

2020 IEEE International Conference on Human-Machine Systems (ICHMS) Pub Date : 2020-09-01 DOI: 10.1109/ICHMS49158.2020.9209377

Lingqiu Jin, He Zhang, Yantao Shen, C. Ye

{"title":"Human-Robot Interaction for Assisted Object Grasping by a Wearable Robotic Object Manipulation Aid for the Blind","authors":"Lingqiu Jin, He Zhang, Yantao Shen, C. Ye","doi":"10.1109/ICHMS49158.2020.9209377","DOIUrl":"https://doi.org/10.1109/ICHMS49158.2020.9209377","url":null,"abstract":"This paper presents a new hand-worn device, called wearable robotic object manipulation aid (W-ROMA), that can help a visually impaired individual locate a target object and guide the hand to take a hold of it. W-ROMA may assist the individual for navigational (e.g., grasping a chair and moving it to make path) or non-navigational purpose (e.g, grasping a mug). The device consists of a sensing unit and a guiding unit. The sensing unit uses a Structure Core sensor, comprising of an RGB-D camera and an Inertial Measurement Unit (IMU), to detect the target object and estimate the device pose. Based on the object and pose information, the guiding unit computes the Desired Hand Movement (DHM) and convey it to the user by an electro-tactile display to guide the hand to approach the object. A speech interface is developed and used as an additional way to convey the DHM and used for human-robot interaction. A new method, called Depth Enhanced Visual-Inertial Odometry (DVIO), is proposed for 6-DOF device pose estimation. It tightly couples the camera’s depth and visual data with the IMU data in a graph optimization process to produce more accurate pose estimation than the existing state-of-the-art approach. The estimated poses are used to “stitched” the imaging and point cloud data captured at different points to form a larger view of the scene for object detection. They can also be used to position the individual for wayfinding. Experimental results demonstrate that the DVIO method outperforms the state-of-the-art VIO approach in 6-DOF pose estimation.","PeriodicalId":132917,"journal":{"name":"2020 IEEE International Conference on Human-Machine Systems (ICHMS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130507356","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 4

An EEG investigation on planning human-robot handover tasks 规划人机交接任务的脑电图研究

2020 IEEE International Conference on Human-Machine Systems (ICHMS) Pub Date : 2020-09-01 DOI: 10.1109/ICHMS49158.2020.9209543

S. Cooper, Samuel F.P. Fensome, D. Kourtis, Stuart Gow, M. Dragone

{"title":"An EEG investigation on planning human-robot handover tasks","authors":"S. Cooper, Samuel F.P. Fensome, D. Kourtis, Stuart Gow, M. Dragone","doi":"10.1109/ICHMS49158.2020.9209543","DOIUrl":"https://doi.org/10.1109/ICHMS49158.2020.9209543","url":null,"abstract":"Human-robot joint action is a key requirement in many advanced robotic applications where robots are not only expected to work alongside humans but also collaborate with them in the performance of physical tasks. Robots are already programmed to model and predict human actions in order to ensure smooth collaboration and overall task efficiency. However, little is known on how humans represent and account for robot’s actions as part of their own plans. This paper presents a first joint psychological and HRI user study designed to answer this question in the context of human-robot handover scenarios. Our analysis showed that the participants had a positive userexperience of the interaction and adopted gaze patterns similar to a large extent to the ones in human-to-human handover tasks. The EEG analysis suggests that, compared to solo action, the human participants were at a state of higher motor readiness when they prepared to hand over the object to the robot either because they represented the robot’s action in advance or alternatively that they anticipated that passing the object to the robot would be a more effortful action, thus highlighting the increased demands in planning a human-to-robot interaction. Our findings highlight the value of gaze as a positive method of non-verbal communication in HRI and provides new insights in the neural mechanisms that allows a person to plan an effective interaction with a robot.","PeriodicalId":132917,"journal":{"name":"2020 IEEE International Conference on Human-Machine Systems (ICHMS)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124926569","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 3

iFree: design and evaluation of a pointing method for disabled users on mobile devices 为移动设备上的残疾用户设计和评估一种指向方法

2020 IEEE International Conference on Human-Machine Systems (ICHMS) Pub Date : 2020-09-01 DOI: 10.1109/ICHMS49158.2020.9209537

Fabio Angellotti, G. Costagliola, Mattia De Rosa, V. Fuccella

引用次数: 1

Acquiring New Categories by Self Data Gathering with Bayesian Attractor Model 利用贝叶斯吸引子模型自收集数据获取新类别

2020 IEEE International Conference on Human-Machine Systems (ICHMS) Pub Date : 2020-09-01 DOI: 10.1109/ICHMS49158.2020.9209496

Tatsuya Otoshi, S. Arakawa, M. Murata, Kai Wang, T. Hosomi, Toshiyuki Kanoh

引用次数: 3

Gender Effects in Mobile Application Development 移动应用开发中的性别影响

2020 IEEE International Conference on Human-Machine Systems (ICHMS) Pub Date : 2020-09-01 DOI: 10.1109/ICHMS49158.2020.9209325

M. Lopes, Carl Vogel

引用次数: 3

Towards trustworthiness and transparency in social human-robot interaction 迈向人机社会互动的诚信与透明

2020 IEEE International Conference on Human-Machine Systems (ICHMS) Pub Date : 2020-09-01 DOI: 10.1109/ICHMS49158.2020.9209397

Filippo Cantucci, R. Falcone

{"title":"Towards trustworthiness and transparency in social human-robot interaction","authors":"Filippo Cantucci, R. Falcone","doi":"10.1109/ICHMS49158.2020.9209397","DOIUrl":"https://doi.org/10.1109/ICHMS49158.2020.9209397","url":null,"abstract":"Cooperation between autonomous robots and humans is becoming more and more demanding. Robots have to be able to capable of possessing and expose a wide range of cognitive functions, once humans require their help. This paper describes a cognitive architecture for human-robot interaction that allows a robot to dynamically modulate its own level of social autonomy every time a human user delegates to it a task to accomplish in her/his place. The task adoption process leverages on multiple robot’s cognitive capabilities (i.e. the ability to have a theory of mind of the user, to build a model of the world, to profile the user and to make an evaluation about its own skill trustworthiness for building the user’s profile). On the basis of these capabilities the robot is able to adapt its own level of intelligent collaboration by adopting the task at the different levels of help defined in the theory of delegation and adoption conceived by Castelfranchi and Falcone. Besides that, the architecture enhances robot’s behavior transparency because gives to it the ability to provide a comprehensive explanation of the strategy it has adopted for accomplishing the delegated task. We propose an implementation of the cognitive architecture based on JaCaMo framework, which provides support for implementing multi-agent systems and integrates different multi-agent programming dimensions.","PeriodicalId":132917,"journal":{"name":"2020 IEEE International Conference on Human-Machine Systems (ICHMS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114166358","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 7

Social Simulation with RBC 基于RBC的社交模拟

2020 IEEE International Conference on Human-Machine Systems (ICHMS) Pub Date : 2020-09-01 DOI: 10.1109/ICHMS49158.2020.9209455

Haibin Zhu

引用次数: 0

Identifying Sources of Discomfort in Various Road Events While Riding Automated Vehicles 在驾驶自动驾驶汽车时，识别各种道路事件中不适的来源

2020 IEEE International Conference on Human-Machine Systems (ICHMS) Pub Date : 2020-09-01 DOI: 10.1109/ICHMS49158.2020.9209461

Guy Cohen-Lazry, Ariel Telpaz, A. Degani, T. Oron-Gilad

{"title":"Identifying Sources of Discomfort in Various Road Events While Riding Automated Vehicles","authors":"Guy Cohen-Lazry, Ariel Telpaz, A. Degani, T. Oron-Gilad","doi":"10.1109/ICHMS49158.2020.9209461","DOIUrl":"https://doi.org/10.1109/ICHMS49158.2020.9209461","url":null,"abstract":"The present study aimed at exploring the factors that induce discomfort when riding automated vehicles in various driving events. Using a Wizard-of-Oz design, participants were driven in what appeared to be a fully automated (level 5) vehicle. An analysis of participants’ reactions and verbal utterances revealed six specific sources of discomfort (Vehicle’s speed, Crossing Traffic, Pedestrians, Road Geometry, Road Markings and On-coming Traffic). These discomfort reactions were then cross-referenced to the road events they were associated with. The results suggest that there is a different set of discomfort sources associated with each unique road event. Overall, we identified seven distinct categories of road events that could cover the entire experimental route (Crosswalks, Roundabouts, Straight Intersections, Left-Turns with On-coming Traffic, Left-Turns without On-coming Traffic, Right turns with Right-of-way and Right turns without Right-of-way). From a design perspective, these findings can empower the development of interventions to reduce discomfort in automated vehicles.","PeriodicalId":132917,"journal":{"name":"2020 IEEE International Conference on Human-Machine Systems (ICHMS)","volume":"66 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114993298","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2