Anita de Mello Koch, Nicholas Kastanos, V. Aharonson
{"title":"Monitoring Routine Changes From Daily Smartphone Usage","authors":"Anita de Mello Koch, Nicholas Kastanos, V. Aharonson","doi":"10.1109/ICHMS49158.2020.9209417","DOIUrl":"https://doi.org/10.1109/ICHMS49158.2020.9209417","url":null,"abstract":"The detection of user routine changes from smartphone sensor data is investigated in this study. A smartphone application is used to record multi-modal sensor data. A dataset from 60 users was used for activity classification. Anomaly detection was performed on these activities to detect and characterise abnormal behavioural changes. A Multi-task Multilayer Perceptron Neural Network was used for activity classification. Four different anomaly detection architectures were compared, using two weeks of data for training. An accuracy of 65.7 percent was achieved for activity classification of the 14 most common human activities. A One-class Support Vector Machine yielded the best results for the anomaly detection, with an accuracy of 76.8 percent. These preliminary results show a potential of the proposed methods to detect and characterise changes in human routine.","PeriodicalId":132917,"journal":{"name":"2020 IEEE International Conference on Human-Machine Systems (ICHMS)","volume":"18 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":"131532137","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}
Fabio Angellotti, G. Costagliola, A. Economides, Chiara Baiano, Isa Zappullo, M. Conson, Joulietta Kalli-Laouri, Yiannis Laouris, A. Esposito, Markus Thaler, Stephan Schlögl, Aleksander Groth, Parth Sarthy, Carl Vogel, Maria Stella de Biase, S. Marrone, F. Marulli, M. Lopes, D. Delisle-Rodríguez, Teodiano Bastos, A. López-Delis, Lisset Balart Fernández, Tiago Falk, Jessica Leoni, M. Tanelli, A. Brusa, M. Alimardani, Sercan Tanriseven
{"title":"Authors and Title","authors":"Fabio Angellotti, G. Costagliola, A. Economides, Chiara Baiano, Isa Zappullo, M. Conson, Joulietta Kalli-Laouri, Yiannis Laouris, A. Esposito, Markus Thaler, Stephan Schlögl, Aleksander Groth, Parth Sarthy, Carl Vogel, Maria Stella de Biase, S. Marrone, F. Marulli, M. Lopes, D. Delisle-Rodríguez, Teodiano Bastos, A. López-Delis, Lisset Balart Fernández, Tiago Falk, Jessica Leoni, M. Tanelli, A. Brusa, M. Alimardani, Sercan Tanriseven","doi":"10.1109/ichms49158.2020.9209460","DOIUrl":"https://doi.org/10.1109/ichms49158.2020.9209460","url":null,"abstract":"","PeriodicalId":132917,"journal":{"name":"2020 IEEE International Conference on Human-Machine Systems (ICHMS)","volume":"117 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":"127582489","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}
{"title":"Impacts of System Transparency and System Failure on Driver Trust During Partially Automated Driving","authors":"Jieun Lee, G. Abe, Kenji Sato, M. Itoh","doi":"10.1109/ICHMS49158.2020.9209322","DOIUrl":"https://doi.org/10.1109/ICHMS49158.2020.9209322","url":null,"abstract":"The objective of this study is to explore changes of trust by a situation where drivers need to intervene. Trust in automation is a key determinant for appropriate interaction between drivers and the system. System transparency and types of system failure influence shaping trust in a supervisory control. Subjective ratings of trust were collected to examine the impact of two factors: system transparency (Detailed vs. Less) and system failure (by Limits vs. Malfunction) in a driving simulator study in which drivers experienced a partially automated vehicle. We examined trust ratings at three points: before and after driver intervention in the automated vehicle, and after subsequent experience of flawless automated driving. Our result found that system transparency did not have significant impacts on trust change from before to after the intervention. System-malfunction led trust reduction compared to those of before the intervention, whilst system-limits did not influence trust. The subsequent experience recovered decreased trust, in addition, when the system-limit occurred to drivers who have detailed information about the system, trust prompted in spite of the intervention. The present finding has implications for automation design to achieve the appropriate level of trust.","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":"130732397","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}
Jiahua Xu, Tung-Lung Liu, Zheng Wu, Zheng Wu, Y. Li, A. Nürnberger
{"title":"Neurorehabilitation System in Virtual Reality with Low-Cost BCI Devices","authors":"Jiahua Xu, Tung-Lung Liu, Zheng Wu, Zheng Wu, Y. Li, A. Nürnberger","doi":"10.1109/ICHMS49158.2020.9209560","DOIUrl":"https://doi.org/10.1109/ICHMS49158.2020.9209560","url":null,"abstract":"Brain-computer interface (BCI) has gained great attention from the public due to its ability and portability for external devices control or neuron rehabilitation using EEG from scalps. virtual reality (VR) provides users an immersive interaction environment via human-machine interfaces (HMI).This paper proposes an motor imagery based real-time control system for rehabilitation by using low-cost BCI to control a robotic arm in VR.","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":"133470033","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}
{"title":"Collaborative Operation of Robotic Manipulators with Human Intent Prediction and Shared Control","authors":"Zongyao Jin, P. Pagilla","doi":"10.1109/ICHMS49158.2020.9209565","DOIUrl":"https://doi.org/10.1109/ICHMS49158.2020.9209565","url":null,"abstract":"This paper develops technical tools to facilitate the collaborative operation of robot manipulators by providing human operators an effective way to remotely command a manipulator for object inspection and handling applications by using computer vision, human intent prediction, and human-machine shared control. First, an operational interface and robot motion control implementation based on a low-cost, general-purpose joystick game controller is presented. Then, a design of a robot end-effector that can help realize motion based on computer vision feedback is proposed and developed. Utilizing the capabilities of computer vision, an effective control law to keep a detected object at the center of the camera view by adjusting end-effector orientation is developed. Lastly, human intent prediction and human-machine shared control for this inspection and handling robotic operations are described. In the shared control system, the human operator takes initiatives; however, the system can facilitate task execution by having the end-effector orientation controlled automatically based on the human’s intent. To corroborate the proposed methods and design, a custom end-effector which can be mounted on an industrial robot is developed and the robot system is integrated to be commanded by a general-purpose game controller. Experimental results on an object inspection and handling experiment are provided to show the effectiveness of our approach.","PeriodicalId":132917,"journal":{"name":"2020 IEEE International Conference on Human-Machine Systems (ICHMS)","volume":"133 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":"132396110","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}
J. Lyons, C. Nam, Sarah A. Jessup, Thy Q. Vo, Kevin T. Wynne
{"title":"The Role of Individual Differences as Predictors of Trust in Autonomous Security Robots","authors":"J. Lyons, C. Nam, Sarah A. Jessup, Thy Q. Vo, Kevin T. Wynne","doi":"10.1109/ICHMS49158.2020.9209544","DOIUrl":"https://doi.org/10.1109/ICHMS49158.2020.9209544","url":null,"abstract":"This research used an Autonomous Security Robot (ASR) scenario to examine public reactions to a robot that possesses the authority and capability to inflict harm on a human. Individual differences in terms of personality and Perfect Automation Schema (PAS) were examined as predictors of trust in the ASR. Participants (N=316) from Amazon Mechanical Turk (MTurk) rated their trust of the ASR and desire to use ASRs in public and military contexts following a 2-minute video depicting the robot interacting with three research confederates. The video showed the robot using force against one of the three confederates with a non-lethal device. Results demonstrated that individual differences factors were related to trust and desired use of the ASR. Agreeableness and both facets of the PAS (high expectations and all-or-none beliefs) demonstrated unique associations with trust using multiple regression techniques. Agreeableness, intellect, and high expectations were uniquely related to desired use for both public and military domains. This study showed that individual differences influence trust and one’s desired use of ASRs, demonstrating that societal reactions to ASRs may be subject to variation among individuals.","PeriodicalId":132917,"journal":{"name":"2020 IEEE International Conference on Human-Machine Systems (ICHMS)","volume":"7 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":"131293254","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}
{"title":"Train remote driving: A Human-Machine Cooperation point of view","authors":"M. Pacaux-Lemoine, Quentin Gadmer, P. Richard","doi":"10.1109/ICHMS49158.2020.9209333","DOIUrl":"https://doi.org/10.1109/ICHMS49158.2020.9209333","url":null,"abstract":"Levels of automation implemented in the railway domain are already high, especially with automated metro. Nevertheless, high levels of automation in the urban sector cannot be directly transposed to train control in mainline or freight sectors, since the train driving environment is more likely to face various unexpected events. The autonomous train is still the final objective; nevertheless, before reaching such a high level of automation, the first step will be to design intermediate levels where human operator is kept in the loop of train control. As for the scope of the TC-Rail project, presented in this paper, the design of remote driving is a necessary first stage that serves two objectives: the optimization of freight railway traffic and a way to recover from an autonomous train, as a degraded driving mode. Railway literature rarely addresses these topics as remote driving may lead to highly risky and complex situations. The goal of this paper is to identify how such risks can be addressed through a Human-machine cooperation approach. A first analysis has been conducted and some reflections are presented. The different steps proposed by this approach are illustrated by the use case stemming from the framework of the TC-Rail project.","PeriodicalId":132917,"journal":{"name":"2020 IEEE International Conference on Human-Machine Systems (ICHMS)","volume":"164 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":"115696460","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}
{"title":"Using usability and user experience scores to design an Augmented Reality-based Ambient Awareness interface to support spatially dispersed teams","authors":"Lisa Thomaschewski, B. Weyers, A. Kluge","doi":"10.1109/ICHMS49158.2020.9209564","DOIUrl":"https://doi.org/10.1109/ICHMS49158.2020.9209564","url":null,"abstract":"One major determinant for the performance and productivity of teams is the temporal coordination of interdependent sub-tasks within the teamwork process. The accuracy of the temporal coordination significantly depends on whether the team member share a precise mental model of the teamwork process, which encompasses the current process state and the desired outcome. The more the assumptions of the individual team members about the current process state deviate, the less precise the temporal coordination of the team is. Looking at spatially dispersed teams, this challenge becomes even more complicated, since such teams have no naturally existing common cues, from which they can derive corresponding process relevant information. Therefore, this work presents a user-centered design approach to develop an Augmented Reality-based assistance system for the Microsoft HoloLens 1. Its goal is to support the temporal coordination of spatially dispersed teams by utilizing a method that can present information in an at-a-glance manner and helps the user to remain aware of the information without being overwhelmed or distracted by it, denoted Ambient Awareness. In order to develop a system with the highest possible team- and tasktechnology fit, we aggregated usability and user experience scores in a two-part user study with n $=$ 22 experts in the sense of a user-centered design process. To this end, we first determined the usability in a laboratory experimental setting. On the basis of the aggregated data, we identified three essential interface configuration clusters in the first step, which were evaluated subsequently according to their user experience in an online assessment. This two-step user-centered evaluation design allowed us to derive a user interface configuration that provides the highest team- and task-technology-fit under the given application-specific conditions.","PeriodicalId":132917,"journal":{"name":"2020 IEEE International Conference on Human-Machine Systems (ICHMS)","volume":"58 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":"124321734","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}
{"title":"Hitting the Road: Exploring Human-Robot Trust for Self-Driving Vehicles","authors":"Yosef Razin, K. Feigh","doi":"10.1109/ICHMS49158.2020.9209525","DOIUrl":"https://doi.org/10.1109/ICHMS49158.2020.9209525","url":null,"abstract":"With self-driving cars making their way on to our roads, we ask not what it would take for them to gain acceptance among consumers, but what impact they may have on other drivers. How they will be perceived and whether they will be trusted will likely have a major effect on traffic flow and vehicular safety. This work first undertakes an exploratory factor analysis to validate a trust scale for human-robot interaction and shows how previously validated metrics and general trust theory support a more complete model of trust that has increased applicability in the driving domain. We experimentally test this expanded model in the context of human-automation interaction during simulated driving, revealing how using these dimensions uncovers significant biases within human-robot trust that may have particularly deleterious effects when it comes to sharing our future roads with automated vehicles.","PeriodicalId":132917,"journal":{"name":"2020 IEEE International Conference on Human-Machine Systems (ICHMS)","volume":"49 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":"114696629","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}
Junho Park, Maryam Zahabi, D. Kaber, Jaime Ruiz, H. Huang
{"title":"Evaluation of Activities of Daily Living Tesbeds for Assessing Prosthetic Device Usability","authors":"Junho Park, Maryam Zahabi, D. Kaber, Jaime Ruiz, H. Huang","doi":"10.1109/ICHMS49158.2020.9209553","DOIUrl":"https://doi.org/10.1109/ICHMS49158.2020.9209553","url":null,"abstract":"Individuals with upper limb amputations rely on prosthetic devices to perform activities of daily living. However, these technologies are often reported as being difficult to use. Prior studies have used a variety of testbeds to assess the usability of prosthetic devices. However, there is no defined strategy for selecting the most effective batteries. This study developed a task selection strategy and a test battery to assess usability of upper-limb prosthetic devices. A combination of methods was applied, including a constrained literature review, sensitivity analysis, and review of fundamental upper-limb movements. Findings suggest that the clothespin relocation task (CRT) and Southampton hand assessment protocol (SHAP) are the most sensitive testbeds for usability assessment of upper-limb prosthetic devices and these tasks require similar limb movements to high frequency ADLs.","PeriodicalId":132917,"journal":{"name":"2020 IEEE International Conference on Human-Machine Systems (ICHMS)","volume":"43 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":"128214870","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}