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description Publicationkeyboard_double_arrow_right Article 2021 SpainPublisher:MDPI AG Funded by:EC | FourByThree, EC | AI4EUEC| FourByThree ,EC| AI4EUAuthors: Alejandro Chacón; Pere Ponsa; Cecilio Angulo;Alejandro Chacón; Pere Ponsa; Cecilio Angulo;handle: 10261/261281 , 2117/351262
The use of collaborative robots (cobots) in industrial and academic settings facilitates physical and cognitive interaction with operators. This framework is a challenge to determine how measures on concepts, such as usability, can be adapted to these new environments. Usability is a quality attribute prevalent in the field of human-computer interaction concerning the context of use and the measure of effectiveness, efficiency, and satisfaction of products and systems. In this work, the importance of the role of benchmarking usability with collaborative robots is discussed. The introduced approach is part of a general methodology for studying people and robots’ performance in collaboration. It is being designed and developed on a concrete experience into a human-robot collaborative workspace. Outcomes from the study include a list of steps, resources, recommen-dations, and some customized questionnaires to obtain cobot-oriented usability analysis and case study results. This work has been co-financed by the European Regional Development Fund of the European Union in the framework of the ERDF Operational Program of Catalonia 2014–2020, grant number 001-P-001643. Prof. Cecilio Angulo has been partly supported by the European Union’s Horizon 2020 research and innovation programme under grant agreement No. 825619 (AI4EU). Prof. Pere Ponsa has been partly supported by the Project EXPLainable Artificial INtelligence systems for health and well-beING (EXPLAINING) (PID2019-104829RA-I00/AEI/10.13039/501100011033).
ZENODO; UPCommons. P... arrow_drop_down ZENODO; UPCommons. Portal del coneixement obert de la UPC; DesignsOther literature type . Article . 2021 . Peer-reviewedLicense: CC BY NC NDFull-Text: http://www.mdpi.com/2411-9660/5/2/35/pdfRecolector de Ciencia Abierta, RECOLECTA; DIGITAL.CSICArticle . 2021Recolector de Ciencia Abierta, RECOLECTAArticle . 2021 . Peer-reviewedLicense: CC BY NC NDData sources: Recolector de Ciencia Abierta, RECOLECTAUPCommons. Portal del coneixement obert de la UPCArticle . 2021 . Peer-reviewedLicense: CC BY NC NDData sources: UPCommons. Portal del coneixement obert de la UPCadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.3390/designs5020035&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen gold 12 citations 12 popularity Top 10% influence Top 10% impulse Top 10% Powered by BIP!visibility 110visibility views 110 download downloads 164 Powered bymore_vert ZENODO; UPCommons. P... arrow_drop_down ZENODO; UPCommons. Portal del coneixement obert de la UPC; DesignsOther literature type . Article . 2021 . Peer-reviewedLicense: CC BY NC NDFull-Text: http://www.mdpi.com/2411-9660/5/2/35/pdfRecolector de Ciencia Abierta, RECOLECTA; DIGITAL.CSICArticle . 2021Recolector de Ciencia Abierta, RECOLECTAArticle . 2021 . Peer-reviewedLicense: CC BY NC NDData sources: Recolector de Ciencia Abierta, RECOLECTAUPCommons. Portal del coneixement obert de la UPCArticle . 2021 . Peer-reviewedLicense: CC BY NC NDData sources: UPCommons. Portal del coneixement obert de la UPCadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.3390/designs5020035&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Part of book or chapter of book 2020 FrancePublisher:Springer International Publishing Funded by:EC | AI4EUEC| AI4EUAuthors: Ingrand, Félix;Ingrand, Félix;International audience; Autonomous robots may be one day allowed to fly or to drive around in large numbers, but this will require their makers and programmers to show that the most critical parts of their software are robust and reliable. Moreover, autonomous robots embed onboard deliberation functions. This is what makes them autonomous but opens for new challenges. There are many approaches to consider for the V&V of AR software, e.g. write high-level specifications and derive them in correct implementations, deploy and develop new or modified V&V formalisms to program robotics components, etc. One should note that learned models aside, most models used in deliberation functions are already amenable to formal V&V. Thus, we rather focus on the functional level components or modules and propose an approach that relies on an existing robotics specification and implementation framework (GenoM), in which we harness existing well known formal V&V frameworks (UPPAAL, BIP, FIACRE-TINA). GenoM was originally developed by roboticists and software engineers, who wanted to clearly and precisely specify how a reusable, portable, middleware independent, functional component should be specified and implemented. As a result, GenoM has a rigorous specification, a clear semantics of the implementation and it provides a template mechanism to synthesize code that opens the door to automatic formal-model synthesis and formal V&V (offline and online). This bottom-up approach, which starts from components implementation, is more modest than the top-down ones which aim at a larger and more global view of the problem. Yet, it gives encouraging results on real implementations on which one can build more complex high-level properties to be then verified and validated offline but also with online monitors.
https://hal.laas.fr/... arrow_drop_down https://doi.org/10.1007/978-3-...Part of book or chapter of book . 2020 . Peer-reviewedLicense: Springer TDMData sources: CrossrefHAL Descartes; Mémoires en Sciences de l'Information et de la Communication; Hal-Diderot; HAL-INSA ToulousePart of book or chapter of book . 2020Full-Text: https://hal.laas.fr/hal-02927311v1/documentHAL Descartes; Mémoires en Sciences de l'Information et de la Communication; HAL-INSA Toulouse; Hal-DiderotPart of book or chapter of book . 2021Full-Text: https://hal.laas.fr/hal-02927311v2/documentHAL Descartes; Mémoires en Sciences de l'Information et de la Communication; HAL-INSA ToulousePart of book or chapter of book . 2021add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1007/978-3-030-66494-7_8&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!more_vert https://hal.laas.fr/... arrow_drop_down https://doi.org/10.1007/978-3-...Part of book or chapter of book . 2020 . Peer-reviewedLicense: Springer TDMData sources: CrossrefHAL Descartes; Mémoires en Sciences de l'Information et de la Communication; Hal-Diderot; HAL-INSA ToulousePart of book or chapter of book . 2020Full-Text: https://hal.laas.fr/hal-02927311v1/documentHAL Descartes; Mémoires en Sciences de l'Information et de la Communication; HAL-INSA Toulouse; Hal-DiderotPart of book or chapter of book . 2021Full-Text: https://hal.laas.fr/hal-02927311v2/documentHAL Descartes; Mémoires en Sciences de l'Information et de la Communication; HAL-INSA ToulousePart of book or chapter of book . 2021add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1007/978-3-030-66494-7_8&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Conference object 2020 EnglishPublisher:Zenodo Funded by:EC | AI4EUEC| AI4EUAuthors: Tomic, Stevan; Pecora, Federico; Saffiotti, Alessandro;Tomic, Stevan; Pecora, Federico; Saffiotti, Alessandro;Future robots should follow human social norms to be useful and accepted in human society. In this paper, we show how prior knowledge about social norms, represented using an existing normative framework, can be used to (1) guide reinforcement learning agents towards normative policies, and (2) re-use (transfer) learned policies in novel domains. The proposed method is not dependent on a particular reinforcement learning algorithm and can be seen as a means to learn abstract procedural knowledge based on declarative domain-independent semantic specifications.
add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.5281/zenodo.3949741&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen 0 citations 0 popularity Average influence Average impulse Average Powered by BIP!visibility 37visibility views 37 download downloads 32 Powered bymore_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.5281/zenodo.3949741&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Conference object 2019Publisher:ACM Funded by:EC | AI4EUEC| AI4EUIlias Kalamaras; Ioannis Xygonakis; Konstantinos Glykos; Sigmund Akselsen; Arne Munch-Ellingsen; Hai Thanh Nguyen; Andreas Jacobsen Lepperod; Kerstin Bach; Konstantinos Votis; Dimitrios Tzovaras;Visual analytics have an important role in the exploration and analysis of large amounts of data in IoT applications. Data visualizations can provide overviews of different aspects of data and user interaction can assist exploration. Recent advances in machine learning and Artificial Intelligence have provided methods that can be used in conjunction with visual analytics to enhance user perception. However, AI methods are often used as "black boxes", making them difficult for end-users to trust. In this paper, a novel visual analytics platform is presented, targeting two goals: a) an architecture for the creation of custom interactive visual analytics dashboards using well-defined components linked to each other, and b) the inclusion of components specifically for making AI methods more explainable. The proposed architecture and components are being used in the context of the AI4IoT pilot within the AI4EU project, which targets air quality monitoring through AI and visualization.
add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1145/3297662.3365816&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu4 citations 4 popularity Top 10% influence Average impulse Average Powered by BIP!more_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1145/3297662.3365816&type=result"></script>'); --> </script>
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description Publicationkeyboard_double_arrow_right Article 2021 SpainPublisher:MDPI AG Funded by:EC | FourByThree, EC | AI4EUEC| FourByThree ,EC| AI4EUAuthors: Alejandro Chacón; Pere Ponsa; Cecilio Angulo;Alejandro Chacón; Pere Ponsa; Cecilio Angulo;handle: 10261/261281 , 2117/351262
The use of collaborative robots (cobots) in industrial and academic settings facilitates physical and cognitive interaction with operators. This framework is a challenge to determine how measures on concepts, such as usability, can be adapted to these new environments. Usability is a quality attribute prevalent in the field of human-computer interaction concerning the context of use and the measure of effectiveness, efficiency, and satisfaction of products and systems. In this work, the importance of the role of benchmarking usability with collaborative robots is discussed. The introduced approach is part of a general methodology for studying people and robots’ performance in collaboration. It is being designed and developed on a concrete experience into a human-robot collaborative workspace. Outcomes from the study include a list of steps, resources, recommen-dations, and some customized questionnaires to obtain cobot-oriented usability analysis and case study results. This work has been co-financed by the European Regional Development Fund of the European Union in the framework of the ERDF Operational Program of Catalonia 2014–2020, grant number 001-P-001643. Prof. Cecilio Angulo has been partly supported by the European Union’s Horizon 2020 research and innovation programme under grant agreement No. 825619 (AI4EU). Prof. Pere Ponsa has been partly supported by the Project EXPLainable Artificial INtelligence systems for health and well-beING (EXPLAINING) (PID2019-104829RA-I00/AEI/10.13039/501100011033).
ZENODO; UPCommons. P... arrow_drop_down ZENODO; UPCommons. Portal del coneixement obert de la UPC; DesignsOther literature type . Article . 2021 . Peer-reviewedLicense: CC BY NC NDFull-Text: http://www.mdpi.com/2411-9660/5/2/35/pdfRecolector de Ciencia Abierta, RECOLECTA; DIGITAL.CSICArticle . 2021Recolector de Ciencia Abierta, RECOLECTAArticle . 2021 . Peer-reviewedLicense: CC BY NC NDData sources: Recolector de Ciencia Abierta, RECOLECTAUPCommons. Portal del coneixement obert de la UPCArticle . 2021 . Peer-reviewedLicense: CC BY NC NDData sources: UPCommons. Portal del coneixement obert de la UPCadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.3390/designs5020035&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen gold 12 citations 12 popularity Top 10% influence Top 10% impulse Top 10% Powered by BIP!visibility 110visibility views 110 download downloads 164 Powered bymore_vert ZENODO; UPCommons. P... arrow_drop_down ZENODO; UPCommons. Portal del coneixement obert de la UPC; DesignsOther literature type . Article . 2021 . Peer-reviewedLicense: CC BY NC NDFull-Text: http://www.mdpi.com/2411-9660/5/2/35/pdfRecolector de Ciencia Abierta, RECOLECTA; DIGITAL.CSICArticle . 2021Recolector de Ciencia Abierta, RECOLECTAArticle . 2021 . Peer-reviewedLicense: CC BY NC NDData sources: Recolector de Ciencia Abierta, RECOLECTAUPCommons. Portal del coneixement obert de la UPCArticle . 2021 . Peer-reviewedLicense: CC BY NC NDData sources: UPCommons. Portal del coneixement obert de la UPCadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.3390/designs5020035&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Part of book or chapter of book 2020 FrancePublisher:Springer International Publishing Funded by:EC | AI4EUEC| AI4EUAuthors: Ingrand, Félix;Ingrand, Félix;International audience; Autonomous robots may be one day allowed to fly or to drive around in large numbers, but this will require their makers and programmers to show that the most critical parts of their software are robust and reliable. Moreover, autonomous robots embed onboard deliberation functions. This is what makes them autonomous but opens for new challenges. There are many approaches to consider for the V&V of AR software, e.g. write high-level specifications and derive them in correct implementations, deploy and develop new or modified V&V formalisms to program robotics components, etc. One should note that learned models aside, most models used in deliberation functions are already amenable to formal V&V. Thus, we rather focus on the functional level components or modules and propose an approach that relies on an existing robotics specification and implementation framework (GenoM), in which we harness existing well known formal V&V frameworks (UPPAAL, BIP, FIACRE-TINA). GenoM was originally developed by roboticists and software engineers, who wanted to clearly and precisely specify how a reusable, portable, middleware independent, functional component should be specified and implemented. As a result, GenoM has a rigorous specification, a clear semantics of the implementation and it provides a template mechanism to synthesize code that opens the door to automatic formal-model synthesis and formal V&V (offline and online). This bottom-up approach, which starts from components implementation, is more modest than the top-down ones which aim at a larger and more global view of the problem. Yet, it gives encouraging results on real implementations on which one can build more complex high-level properties to be then verified and validated offline but also with online monitors.
https://hal.laas.fr/... arrow_drop_down https://doi.org/10.1007/978-3-...Part of book or chapter of book . 2020 . Peer-reviewedLicense: Springer TDMData sources: CrossrefHAL Descartes; Mémoires en Sciences de l'Information et de la Communication; Hal-Diderot; HAL-INSA ToulousePart of book or chapter of book . 2020Full-Text: https://hal.laas.fr/hal-02927311v1/documentHAL Descartes; Mémoires en Sciences de l'Information et de la Communication; HAL-INSA Toulouse; Hal-DiderotPart of book or chapter of book . 2021Full-Text: https://hal.laas.fr/hal-02927311v2/documentHAL Descartes; Mémoires en Sciences de l'Information et de la Communication; HAL-INSA ToulousePart of book or chapter of book . 2021add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1007/978-3-030-66494-7_8&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!more_vert https://hal.laas.fr/... arrow_drop_down https://doi.org/10.1007/978-3-...Part of book or chapter of book . 2020 . Peer-reviewedLicense: Springer TDMData sources: CrossrefHAL Descartes; Mémoires en Sciences de l'Information et de la Communication; Hal-Diderot; HAL-INSA ToulousePart of book or chapter of book . 2020Full-Text: https://hal.laas.fr/hal-02927311v1/documentHAL Descartes; Mémoires en Sciences de l'Information et de la Communication; HAL-INSA Toulouse; Hal-DiderotPart of book or chapter of book . 2021Full-Text: https://hal.laas.fr/hal-02927311v2/documentHAL Descartes; Mémoires en Sciences de l'Information et de la Communication; HAL-INSA ToulousePart of book or chapter of book . 2021add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1007/978-3-030-66494-7_8&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Conference object 2020 EnglishPublisher:Zenodo Funded by:EC | AI4EUEC| AI4EUAuthors: Tomic, Stevan; Pecora, Federico; Saffiotti, Alessandro;Tomic, Stevan; Pecora, Federico; Saffiotti, Alessandro;Future robots should follow human social norms to be useful and accepted in human society. In this paper, we show how prior knowledge about social norms, represented using an existing normative framework, can be used to (1) guide reinforcement learning agents towards normative policies, and (2) re-use (transfer) learned policies in novel domains. The proposed method is not dependent on a particular reinforcement learning algorithm and can be seen as a means to learn abstract procedural knowledge based on declarative domain-independent semantic specifications.
add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.5281/zenodo.3949741&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen 0 citations 0 popularity Average influence Average impulse Average Powered by BIP!visibility 37visibility views 37 download downloads 32 Powered bymore_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.5281/zenodo.3949741&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Conference object 2019Publisher:ACM Funded by:EC | AI4EUEC| AI4EUIlias Kalamaras; Ioannis Xygonakis; Konstantinos Glykos; Sigmund Akselsen; Arne Munch-Ellingsen; Hai Thanh Nguyen; Andreas Jacobsen Lepperod; Kerstin Bach; Konstantinos Votis; Dimitrios Tzovaras;Visual analytics have an important role in the exploration and analysis of large amounts of data in IoT applications. Data visualizations can provide overviews of different aspects of data and user interaction can assist exploration. Recent advances in machine learning and Artificial Intelligence have provided methods that can be used in conjunction with visual analytics to enhance user perception. However, AI methods are often used as "black boxes", making them difficult for end-users to trust. In this paper, a novel visual analytics platform is presented, targeting two goals: a) an architecture for the creation of custom interactive visual analytics dashboards using well-defined components linked to each other, and b) the inclusion of components specifically for making AI methods more explainable. The proposed architecture and components are being used in the context of the AI4IoT pilot within the AI4EU project, which targets air quality monitoring through AI and visualization.
add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1145/3297662.3365816&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu4 citations 4 popularity Top 10% influence Average impulse Average Powered by BIP!more_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1145/3297662.3365816&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu