Pub Date : 2020-09-01DOI: 10.1109/ICHMS49158.2020.9209354
I. Liu, S. Ni, K. Peng
Heart rate variability (HRV) provides essential mental health information for clinical diagnosis, telemedicine, preventive medicine, and public health. However, the lack of a convenient detection method limits its potential. This study aimed to investigate the feasibility and credibility of using smartphone Photoplethysmogram (PPG)-based HRV analysis for personality prediction. Ninety-five records were collected from students and university employees in Shenzhen, China. An app recorded five-minute films of their fingertips and converted the frames into HRV measures. Participants who were more extraverted and stable had a higher root mean square of successive differences (rMSSD; p=0.03 and 0.005, respectively), and a higher percentage of successive normal-to-normal (NN) intervals that differed by more than 50 ms (pNN50; p=0.05 and 0.004, respectively), and standard deviation of NN intervals (SDNN; p=0.02 and 0.01, respectively). Stable people also had higher log high-frequency HRV (p=0.008). The results from correlation coefficients and the Bland–Altman analysis verified the accuracy of smartphone PPG in HRV assessment. The correlation coefficients of all HRV measures obtained using smartphone PPG and reference ECG were higher than 0.9. Moreover, the Bland–Altman ratios were less than 0.2 for all HRV measures except pNN50. Taken together, the results of this study provide the first empirical evidence that supports the usability of smartphone PPG as a predictor of personality.
{"title":"Predicting Personality with Smartphone Cameras: A Pilot Study","authors":"I. Liu, S. Ni, K. Peng","doi":"10.1109/ICHMS49158.2020.9209354","DOIUrl":"https://doi.org/10.1109/ICHMS49158.2020.9209354","url":null,"abstract":"Heart rate variability (HRV) provides essential mental health information for clinical diagnosis, telemedicine, preventive medicine, and public health. However, the lack of a convenient detection method limits its potential. This study aimed to investigate the feasibility and credibility of using smartphone Photoplethysmogram (PPG)-based HRV analysis for personality prediction. Ninety-five records were collected from students and university employees in Shenzhen, China. An app recorded five-minute films of their fingertips and converted the frames into HRV measures. Participants who were more extraverted and stable had a higher root mean square of successive differences (rMSSD; p=0.03 and 0.005, respectively), and a higher percentage of successive normal-to-normal (NN) intervals that differed by more than 50 ms (pNN50; p=0.05 and 0.004, respectively), and standard deviation of NN intervals (SDNN; p=0.02 and 0.01, respectively). Stable people also had higher log high-frequency HRV (p=0.008). The results from correlation coefficients and the Bland–Altman analysis verified the accuracy of smartphone PPG in HRV assessment. The correlation coefficients of all HRV measures obtained using smartphone PPG and reference ECG were higher than 0.9. Moreover, the Bland–Altman ratios were less than 0.2 for all HRV measures except pNN50. Taken together, the results of this study provide the first empirical evidence that supports the usability of smartphone PPG as a predictor of personality.","PeriodicalId":132917,"journal":{"name":"2020 IEEE International Conference on Human-Machine Systems (ICHMS)","volume":"83 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":"121150058","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}
Pub Date : 2020-09-01DOI: 10.1109/ICHMS49158.2020.9209340
Thanos G. Stavropoulos, Ioulietta Lazarou, Dimitris Strantsalis, S. Nikolopoulos, Y. Kompatsiaris, G. Koumanakos, Maria Frouda, M. Tsolaki
With the onset of dementia primarily, but not exclusively, on elders and the lack of pharmaceutical treatment, lifestyle monitoring through technology seems to be a prominent solution. The human effort, error and cost imposed by close monitoring can be largely mitigated by promising eHealth technological solutions. Wearable, wristband or wristwatch, trackers are flooding the retail market at affordable prices. However, their acceptability and effectiveness for clinical purposes and especially the growing elderly population and their caregivers are still being investigated. This explorative study aims to answer such questions after carefully designing a questionnaire tailored to 45 end-users distributed in three groups of 15 participants each: healthcare professionals (HCP), caregivers and people with Mild Cognitive impairment (MCI) related to AD. Findings include that HCP, caregivers and MCI participants are willing to adopt eHealth solutions based on wearables in order to assist in daily care through holistic and objective monitoring as well as the difficulties, peculiarities and priorities they are aspiring to alleviate through such systems.
{"title":"Human Factors and Requirements of People with Mild Cognitive Impairment, their Caregivers and Healthcare Professionals for eHealth Systems with Wearable Trackers","authors":"Thanos G. Stavropoulos, Ioulietta Lazarou, Dimitris Strantsalis, S. Nikolopoulos, Y. Kompatsiaris, G. Koumanakos, Maria Frouda, M. Tsolaki","doi":"10.1109/ICHMS49158.2020.9209340","DOIUrl":"https://doi.org/10.1109/ICHMS49158.2020.9209340","url":null,"abstract":"With the onset of dementia primarily, but not exclusively, on elders and the lack of pharmaceutical treatment, lifestyle monitoring through technology seems to be a prominent solution. The human effort, error and cost imposed by close monitoring can be largely mitigated by promising eHealth technological solutions. Wearable, wristband or wristwatch, trackers are flooding the retail market at affordable prices. However, their acceptability and effectiveness for clinical purposes and especially the growing elderly population and their caregivers are still being investigated. This explorative study aims to answer such questions after carefully designing a questionnaire tailored to 45 end-users distributed in three groups of 15 participants each: healthcare professionals (HCP), caregivers and people with Mild Cognitive impairment (MCI) related to AD. Findings include that HCP, caregivers and MCI participants are willing to adopt eHealth solutions based on wearables in order to assist in daily care through holistic and objective monitoring as well as the difficulties, peculiarities and priorities they are aspiring to alleviate through such systems.","PeriodicalId":132917,"journal":{"name":"2020 IEEE International Conference on Human-Machine Systems (ICHMS)","volume":"122 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":"128257101","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}
Pub Date : 2020-09-01DOI: 10.1109/ICHMS49158.2020.9209546
A. Esposito, T. Amorese, M. Cuciniello, M. Riviello, G. Cordasco
The present study investigates the extent to which robots’ 1) degree of human likeness, 2) gender and 3) ethnicity affect elders’ attitude towards using robots as healthcare assistants. To this aim 2 groups of 45 seniors, aged 65 + years, were asked to watch video clips showing three speaking female and male robots, respectively. Each set of stimuli consisted in 2 androids, one with Caucasian and one with Asian aspect, and 1 humanoid robot. After each video clip elders were asked to assess, through the Robot Acceptance Questionnaire (RAQ) their willingness to interact with them, as well as robots’ Pragmatic, Hedonic and Attractive qualities. Through this investigation it was found that male seniors were more proactive than female ones in their attitude toward robots showing more willingness to interact with them and attributing more positive scores to robots’ qualities. It was also observed that androids were clearly more preferred than humanoid robots no matter their gender. Finally, seniors’ preferences were for female android robots with Asian traits and male android with Caucasian traits suggesting that both gender and ethnical features are intermingled in defining robot’s appearance that generate seniors’ acceptance.
{"title":"How Human Likeness, Gender and Ethnicity affect Elders’Acceptance of Assistive Robots","authors":"A. Esposito, T. Amorese, M. Cuciniello, M. Riviello, G. Cordasco","doi":"10.1109/ICHMS49158.2020.9209546","DOIUrl":"https://doi.org/10.1109/ICHMS49158.2020.9209546","url":null,"abstract":"The present study investigates the extent to which robots’ 1) degree of human likeness, 2) gender and 3) ethnicity affect elders’ attitude towards using robots as healthcare assistants. To this aim 2 groups of 45 seniors, aged 65 + years, were asked to watch video clips showing three speaking female and male robots, respectively. Each set of stimuli consisted in 2 androids, one with Caucasian and one with Asian aspect, and 1 humanoid robot. After each video clip elders were asked to assess, through the Robot Acceptance Questionnaire (RAQ) their willingness to interact with them, as well as robots’ Pragmatic, Hedonic and Attractive qualities. Through this investigation it was found that male seniors were more proactive than female ones in their attitude toward robots showing more willingness to interact with them and attributing more positive scores to robots’ qualities. It was also observed that androids were clearly more preferred than humanoid robots no matter their gender. Finally, seniors’ preferences were for female android robots with Asian traits and male android with Caucasian traits suggesting that both gender and ethnical features are intermingled in defining robot’s appearance that generate seniors’ acceptance.","PeriodicalId":132917,"journal":{"name":"2020 IEEE International Conference on Human-Machine Systems (ICHMS)","volume":"228 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":"128902560","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}
Pub Date : 2020-09-01DOI: 10.1109/ICHMS49158.2020.9209421
Manuel Mühlig, Lydia Fischer, Stephan Hasler, J. Deigmöller
Future intelligent systems will become more complex and they will be composed of potentially very different artificial agents like mobile robots, smart home infrastructure, and smartphones that collect data and that have capabilities to perform certain tasks. The challenges will be that the elements such a system is composed of will not be known in advance and might change dynamically. Further, the tasks that need to be fulfilled will be unknown beforehand and might require cooperation with humans to make use of their abilities. In this paper we provide a description of a system with which we try to tackle these challenges. Our system uses available resources (robots, humans) and the actual state of the environment to provide a plan in order to satisfy a given request. We demonstrate the flexibility of our system through varying the available resources and the state of the environment. To our knowledge there are few approaches only that (i) explicitly model and use humans together with intelligent agents in the same plan in this kind of abstraction level, and (ii) that have a system using heterogeneous agents at the same time.
{"title":"A Knowledge-based Multi-entity and Cooperative System Architecture","authors":"Manuel Mühlig, Lydia Fischer, Stephan Hasler, J. Deigmöller","doi":"10.1109/ICHMS49158.2020.9209421","DOIUrl":"https://doi.org/10.1109/ICHMS49158.2020.9209421","url":null,"abstract":"Future intelligent systems will become more complex and they will be composed of potentially very different artificial agents like mobile robots, smart home infrastructure, and smartphones that collect data and that have capabilities to perform certain tasks. The challenges will be that the elements such a system is composed of will not be known in advance and might change dynamically. Further, the tasks that need to be fulfilled will be unknown beforehand and might require cooperation with humans to make use of their abilities. In this paper we provide a description of a system with which we try to tackle these challenges. Our system uses available resources (robots, humans) and the actual state of the environment to provide a plan in order to satisfy a given request. We demonstrate the flexibility of our system through varying the available resources and the state of the environment. To our knowledge there are few approaches only that (i) explicitly model and use humans together with intelligent agents in the same plan in this kind of abstraction level, and (ii) that have a system using heterogeneous agents at the same time.","PeriodicalId":132917,"journal":{"name":"2020 IEEE International Conference on Human-Machine Systems (ICHMS)","volume":"4 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":"128086089","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}
Pub Date : 2020-09-01DOI: 10.1109/ICHMS49158.2020.9209455
Haibin Zhu
Social simulation is a cutting edge topic in an interdisciplinary field where Information Technology and Social Science overlap. In this paper, we set out the fundamental requirements for social simulation systems and demonstrate that Role-Based Collaboration (RBC) and the Environments – Classes, Agents, Roles, Groups, and Objects (E-CARGO) model is highly qualified to meet these requirements.As a case study, peer review is a typical social process, a part of which can be modeled as a role assignment problem. After we present the basics of a current typical peer review process, we apply RBC and E-CARGO model to renovate the process. Simulation experiments show the benefits of this improvement.
{"title":"Social Simulation with RBC","authors":"Haibin Zhu","doi":"10.1109/ICHMS49158.2020.9209455","DOIUrl":"https://doi.org/10.1109/ICHMS49158.2020.9209455","url":null,"abstract":"Social simulation is a cutting edge topic in an interdisciplinary field where Information Technology and Social Science overlap. In this paper, we set out the fundamental requirements for social simulation systems and demonstrate that Role-Based Collaboration (RBC) and the Environments – Classes, Agents, Roles, Groups, and Objects (E-CARGO) model is highly qualified to meet these requirements.As a case study, peer review is a typical social process, a part of which can be modeled as a role assignment problem. After we present the basics of a current typical peer review process, we apply RBC and E-CARGO model to renovate the process. Simulation experiments show the benefits of this improvement.","PeriodicalId":132917,"journal":{"name":"2020 IEEE International Conference on Human-Machine Systems (ICHMS)","volume":"20 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":"117130977","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}
Pub Date : 2020-09-01DOI: 10.1109/ICHMS49158.2020.9209466
M. P. Aghababa, M. Saif
We consider the control design problem for a connected vehicle platoon. It is known that the platooning of vehicles in highways brings several advantages such as reduction of air pollution, increase of safety and facilitating the traffic flow. So, in this paper, a fast control algorithm is proposed to enhance the stability convergence rate of smart platoons. Subsequently, a robust terminal sliding mode controller is derived so that to not only guarantee the finite time fast stability of the connected vehicles, but also to ensure that the global string stability of the platoon is achieved via defining a new spacing error variable. The proposed sliding mode controller gets benefits of a non-singular switching sliding manifold to result in an exact finite time sliding motion dynamics. Considering the effects of uncertainties in the vehicle model as well as time varying external perturbations (such as the effects of wind, snow, etc) affecting the vehicle dynamics, a second-order nonlinear model is adopted for the vehicles and the robustness of the proposed control algorithm is theoretically proved using Lyapunov theory. At last, computer simulations illustrate the effective and fast performance of the introduced platooning strategy.
{"title":"Finite Time Sliding Mode Control of Connected Vehicle Platoons Guaranteeing String Stability","authors":"M. P. Aghababa, M. Saif","doi":"10.1109/ICHMS49158.2020.9209466","DOIUrl":"https://doi.org/10.1109/ICHMS49158.2020.9209466","url":null,"abstract":"We consider the control design problem for a connected vehicle platoon. It is known that the platooning of vehicles in highways brings several advantages such as reduction of air pollution, increase of safety and facilitating the traffic flow. So, in this paper, a fast control algorithm is proposed to enhance the stability convergence rate of smart platoons. Subsequently, a robust terminal sliding mode controller is derived so that to not only guarantee the finite time fast stability of the connected vehicles, but also to ensure that the global string stability of the platoon is achieved via defining a new spacing error variable. The proposed sliding mode controller gets benefits of a non-singular switching sliding manifold to result in an exact finite time sliding motion dynamics. Considering the effects of uncertainties in the vehicle model as well as time varying external perturbations (such as the effects of wind, snow, etc) affecting the vehicle dynamics, a second-order nonlinear model is adopted for the vehicles and the robustness of the proposed control algorithm is theoretically proved using Lyapunov theory. At last, computer simulations illustrate the effective and fast performance of the introduced platooning strategy.","PeriodicalId":132917,"journal":{"name":"2020 IEEE International Conference on Human-Machine Systems (ICHMS)","volume":"19 23","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"113964746","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}
Pub Date : 2020-09-01DOI: 10.1109/ICHMS49158.2020.9209397
Filippo Cantucci, R. Falcone
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.
{"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}
Pub Date : 2020-09-01DOI: 10.1109/ICHMS49158.2020.9209499
Pierangela Bruno, Francesco Calimeri, Alexandre Sébastien Kitanidis, E. Momi
Providing accurate diagnosis of diseases generally requires complex analyses of many clinical, biological and pathological variables. In this context, solutions based on machine learning techniques achieved relevant results in specific disease detection and classification, and can hence provide significant clinical decision support. However, such approaches suffer from the lack of proper means for interpreting the choices made by the models, especially in case of deep-learning ones. In order to improve interpretability and explainability in the process of making qualified decisions, we designed a system that allows for a partial opening of this black box by means of proper investigations on the rationale behind the decisions; this can provide improved understandings into which pre-processing steps are crucial for better performance. We tested our approach over artificial neural networks trained for automatic medical diagnosis based on high-dimensional gene expression and clinical data. Our tool analyzed the internal processes performed by the networks during the classification tasks in order to identify the most important elements involved in the training process that influence the network’s decisions.We report the results of an experimental analysis aimed at assessing the viability of the proposed approach.
{"title":"Understanding Automatic Diagnosis and Classification Processes with Data Visualization","authors":"Pierangela Bruno, Francesco Calimeri, Alexandre Sébastien Kitanidis, E. Momi","doi":"10.1109/ICHMS49158.2020.9209499","DOIUrl":"https://doi.org/10.1109/ICHMS49158.2020.9209499","url":null,"abstract":"Providing accurate diagnosis of diseases generally requires complex analyses of many clinical, biological and pathological variables. In this context, solutions based on machine learning techniques achieved relevant results in specific disease detection and classification, and can hence provide significant clinical decision support. However, such approaches suffer from the lack of proper means for interpreting the choices made by the models, especially in case of deep-learning ones. In order to improve interpretability and explainability in the process of making qualified decisions, we designed a system that allows for a partial opening of this black box by means of proper investigations on the rationale behind the decisions; this can provide improved understandings into which pre-processing steps are crucial for better performance. We tested our approach over artificial neural networks trained for automatic medical diagnosis based on high-dimensional gene expression and clinical data. Our tool analyzed the internal processes performed by the networks during the classification tasks in order to identify the most important elements involved in the training process that influence the network’s decisions.We report the results of an experimental analysis aimed at assessing the viability of the proposed approach.","PeriodicalId":132917,"journal":{"name":"2020 IEEE International Conference on Human-Machine Systems (ICHMS)","volume":"13 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":"122235745","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}
Pub Date : 2020-09-01DOI: 10.1109/ICHMS49158.2020.9209398
G. Fortino, A. Guzzo, M. Ianni, F. Leotta, Massimo Mecella
The increasingly large availability of sensors in modern houses, due to the establishment of home assistants, allow to think in terms of smart houses where behaviours can be automatized based on user habits. Common tasks required to this aim include activity prediction, i.e., the task of forecasting what is the next activity a human is going to perform in the smart space based on past sensor logs. In this paper, we propose a novel activity prediction method for smart houses based on the seminal probabilistic method named Marked Temporal Point Process Prediction.
{"title":"Exploiting Marked Temporal Point Processes for Predicting Activities of Daily Living","authors":"G. Fortino, A. Guzzo, M. Ianni, F. Leotta, Massimo Mecella","doi":"10.1109/ICHMS49158.2020.9209398","DOIUrl":"https://doi.org/10.1109/ICHMS49158.2020.9209398","url":null,"abstract":"The increasingly large availability of sensors in modern houses, due to the establishment of home assistants, allow to think in terms of smart houses where behaviours can be automatized based on user habits. Common tasks required to this aim include activity prediction, i.e., the task of forecasting what is the next activity a human is going to perform in the smart space based on past sensor logs. In this paper, we propose a novel activity prediction method for smart houses based on the seminal probabilistic method named Marked Temporal Point Process Prediction.","PeriodicalId":132917,"journal":{"name":"2020 IEEE International Conference on Human-Machine Systems (ICHMS)","volume":"8 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":"126573621","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}
Pub Date : 2020-09-01DOI: 10.1109/ICHMS49158.2020.9209353
Naveed Ahmed, H. Kharoub, S. Medjden, Areej Alsaafin, M. Lataifeh
This work presents a new comparative study for manipulating animated 3D content on a large scale display using two user interaction mechanisms. The first interaction mechanism relies on a traditional cursor-based user interface (UI) with onscreen interaction elements. The second interaction mechanism adopts a gesture-based UI without any visible interaction elements. The user’s distance from the display is significantly farther compared to a traditional desktop to correctly gauge the impact of a cursor-based UI compared to a gesture-based UI on a large scale display. Both interaction mechanisms are extensively evaluated via a user study in terms of usability, user experience (UX), and ergonomics. Through both quantitative and the qualitative evaluation, the results show that a gesture-based interface is a preferred method to manipulate animated 3D content compared to a cursor-based UI on a large scale display in terms of usability and UX. The results also demonstrate that using a gesture-based UI does not rank higher in terms of physical and cognitive ergonomics compared to a cursor-based UI.
{"title":"A Comparative Study to Assess Human Machine Interaction Mechanisms for Large Scale Displays","authors":"Naveed Ahmed, H. Kharoub, S. Medjden, Areej Alsaafin, M. Lataifeh","doi":"10.1109/ICHMS49158.2020.9209353","DOIUrl":"https://doi.org/10.1109/ICHMS49158.2020.9209353","url":null,"abstract":"This work presents a new comparative study for manipulating animated 3D content on a large scale display using two user interaction mechanisms. The first interaction mechanism relies on a traditional cursor-based user interface (UI) with onscreen interaction elements. The second interaction mechanism adopts a gesture-based UI without any visible interaction elements. The user’s distance from the display is significantly farther compared to a traditional desktop to correctly gauge the impact of a cursor-based UI compared to a gesture-based UI on a large scale display. Both interaction mechanisms are extensively evaluated via a user study in terms of usability, user experience (UX), and ergonomics. Through both quantitative and the qualitative evaluation, the results show that a gesture-based interface is a preferred method to manipulate animated 3D content compared to a cursor-based UI on a large scale display in terms of usability and UX. The results also demonstrate that using a gesture-based UI does not rank higher in terms of physical and cognitive ergonomics compared to a cursor-based UI.","PeriodicalId":132917,"journal":{"name":"2020 IEEE International Conference on Human-Machine Systems (ICHMS)","volume":"36 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":"127045415","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}
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