{"title":"The Future Impact of Digital Assistants on Aviation Safety Culture","authors":"B. Kirwan","doi":"10.54941/ahfe1002932","DOIUrl":"https://doi.org/10.54941/ahfe1002932","url":null,"abstract":"In the coming decade, Artificial Intelligence-based Digital Assistants are likely\u0000 to appear in operational aviation contexts, including the cockpit and air traffic\u0000 control Ops room. Current scenarios for such AI support include advising flight crew\u0000 during mid-flight emergencies, and executing routine air traffic duties in the Tower to\u0000 reduce complexity and controller workload. The concept for Digital Assistants goes\u0000 beyond today’s Machine Learning-based tools, which largely offer information to human\u0000 operators. Instead, the notion is of an AI-based ‘colleague’ that can engage in dialogue\u0000 with its human counterparts. This in turn leads to the notion of a Human-AI Team and\u0000 raises a host of questions about how such a team can and should function to optimise\u0000 system performance and safety. One question in particular concerns how working with a\u0000 Digital Assistant, and even potentially relying on one in safety critical scenarios,\u0000 will affect the team’s, and the parent organisation’s safety culture, since safety\u0000 culture is seen as high in the industry, and valuable in assuring passenger and crew\u0000 safety. In the European air traffic network, safety culture is measured regularly in\u0000 different countries using a standardised 50-item scientifically validated questionnaire.\u0000 This questionnaire has been applied to the Digital Assistant concept to see which facets\u0000 of safety culture might be affected. The results of this analysis have identified six\u0000 high-level concerns, but also six instances where the Digital Assistant could\u0000 potentially reinforce or improve safety culture, providing new ‘safety affordances’.\u0000 Although the current work’s focus is on aviation, the safety culture issues raised here\u0000 may also pertain to other domains including health care, the energy sector, space and\u0000 defence systems.","PeriodicalId":383834,"journal":{"name":"Human Interaction and Emerging Technologies (IHIET-AI 2023): Artificial\n Intelligence and Future Applications","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127447113","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}
Apostolos Maniatis, S. Bourou, Zacharias Anastasakis, Kostantinos Psychogios
{"title":"VOXReality: Immersive XR experiences combining language and vision AI models","authors":"Apostolos Maniatis, S. Bourou, Zacharias Anastasakis, Kostantinos Psychogios","doi":"10.54941/ahfe1002938","DOIUrl":"https://doi.org/10.54941/ahfe1002938","url":null,"abstract":"In recent years, Artificial Intelligence (AI) technology has seen significant\u0000 growth due to advancements in machine learning (ML) and data processing, as well as the\u0000 availability of large amounts of data. The integration of AI with eXtended Reality (XR)\u0000 technologies such as Virtual Reality (VR) and Augmented Reality (AR) can create\u0000 innovative solutions and provide intuitive interactions and immersive experiences across\u0000 various sectors, including education, entertainment and healthcare. The presented paper\u0000 describes the innovative Voice-drive interaction in XR spaces (VOXReality)* initiative,\u0000 funded by the European commission, that integrates language and vision-based AI with\u0000 unidirectional or bidirectional exchanges to drive AR and VR, allowing for natural human\u0000 interactions with XR systems and creating multi-modal XR experiences. It aligns Natural\u0000 Language Processing (NLP) and Computer Vision (CV) parallel progress to design novel\u0000 models and techniques that integrate language and visual understanding with XR,\u0000 providing a holistic understanding of goals, environment, and context. VOXReality plans\u0000 to validate its visionary approaches through three use cases such as a XR personal\u0000 assistant, real-time verbal communication in virtual conferences, and immersive\u0000 experience for the audience of theatrical plays.* Funded by European Union (Grant\u0000 agreement ID: 101070521)","PeriodicalId":383834,"journal":{"name":"Human Interaction and Emerging Technologies (IHIET-AI 2023): Artificial\n Intelligence and Future Applications","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120947565","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}
Shahzad Alam, Giedre Sabaliauskaite, Hesamaldin Jadidbonab, J. Bryans
{"title":"Safety and security analysis of Connected and Automated Vehicles: A methodology\u0000 based on Interaction with stakeholders","authors":"Shahzad Alam, Giedre Sabaliauskaite, Hesamaldin Jadidbonab, J. Bryans","doi":"10.54941/ahfe1002948","DOIUrl":"https://doi.org/10.54941/ahfe1002948","url":null,"abstract":"Connected and Automated Vehicles (CAVs) are becoming global phenomena and making\u0000 their way into our society. With the increase in vehicle system automation and\u0000 connectivity levels, reliance on technology increases, which reduces the human influence\u0000 on vehicle dynamic driving tasks. This development significantly transformed the nature\u0000 of human-vehicle interaction design from control to supervisory control. The final goal\u0000 of CAVs is to enable driverless rides (SAE L 4 – 5), where various stakeholders\u0000 (passengers, service providers, and insurers) will interact during the post-development\u0000 phases of the vehicle life cycle. CAVs are susceptible to safety and cyber security\u0000 attacks where a successful attack could lead to various safety, operational, financial,\u0000 and privacy losses. This paper aims to propose a methodology for safety and security\u0000 analysis of CAV interaction with various stakeholders and is aligned with automotive\u0000 cyber security standard ISO/SAE 21434 TARA. This standard provides the guideline to\u0000 perform risk management for vehicles, considering the vehicle system level only; whereas\u0000 the prescribed methodology will complement standard ISO/SAE 21434, performs safety and\u0000 security analysis based on the CAV - Stakeholders interaction model and investigates the\u0000 impact of cybersecurity incidents on various stakeholders. The paper presents the\u0000 methodology which builds upon knowledge combining the known techniques from safety and\u0000 security domains. The research results in developing an interaction model, and\u0000 identifying interaction assets, their vulnerabilities, and threats. Furthermore, it\u0000 performs an attack consequences analysis to demonstrate the impact of the attack on\u0000 various stakeholders. The developed methodology can be applied to any post-development\u0000 phase of the CAV life such as operation, maintenance, and decommissioning.","PeriodicalId":383834,"journal":{"name":"Human Interaction and Emerging Technologies (IHIET-AI 2023): Artificial\n Intelligence and Future Applications","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123768455","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}