Personal and Ubiquitous Computing最新文献

{"title":"Ultrasonics and urban greening: an exploratory study on ultrasound presence in urban spaces","authors":"Mark Grimshaw-Aagaard, Brian Bemman","doi":"10.1007/s00779-024-01798-5","DOIUrl":"https://doi.org/10.1007/s00779-024-01798-5","url":null,"abstract":"<p>Airborne ultrasound is a frequently overlooked feature of our environment as it is not audible to humans, and little is known of its health effects on humans. Presently, regulations governing noise pollution in urban areas concern only human-audible sound, and there are few regulations governing technologies that emit ultrasound as a by-product of their operation or for many devices that emit it deliberately. Moreover, developing fields of research have highlighted the role of ultrasound in non-human species communication and the deleterious consequences for some species of human-produced ultrasound. If urban spaces are to become more sustainable through urban greening—capable of sustaining significant populations of non-human species—studies must be undertaken to begin investigating the presence of ultrasound in such areas. In this paper, we present an exploratory study of <i>urban ultrasoundscapes</i> aimed at measuring the presence and levels of ultrasound in the Danish city of Aalborg. Our preliminary results show that there were increases in ultrasound at periods throughout the day with more or less a lower constant presence at locations that were furthest from major streets. In the urban recordings as well as one rural recording, however, the highest percentages of ultrasound occurred during the night and the lowest percentages were found during midday. Finally, the content of the ultrasound found at locations nearest to green spaces showed most commonality in spectra and levels and our location nearest to a hospital produced the highest levels and most dissimilar ultrasound spectra when compared to all other locations.</p>","PeriodicalId":54628,"journal":{"name":"Personal and Ubiquitous Computing","volume":"34 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-04-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140580718","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":"A systematic review and research challenges on phishing cyberattacks from an electroencephalography and gaze-based perspective","authors":"George A. Thomopoulos, Dimitrios P. Lyras, Christos A. Fidas","doi":"10.1007/s00779-024-01794-9","DOIUrl":"https://doi.org/10.1007/s00779-024-01794-9","url":null,"abstract":"<p>Phishing is one of the most important security threats in modern information systems causing different levels of damages to end-users and service providers such as financial and reputational losses. State-of-the-art anti-phishing research is highly fragmented and monolithic and does not address the problem from a pervasive computing perspective. In this survey, we aim to contribute to the existing literature by providing a systematic review of existing experimental phishing research that employs EEG and eye-tracking methods within multi-modal and multi-sensory interaction environments. The main research objective of this review is to examine articles that contain results of at least one EEG-based and/or eye-tracking-based experimental setup within a phishing context. The database search with specific search criteria yielded 651 articles from which, after the identification and the screening process, 42 articles were examined as per the execution of experiments using EEG or eye-tracking technologies in the context of phishing, resulting to a total of 18 distinct papers that were included in the analysis. This survey is approaching the subject across the following pillars: a) the experimental design practices with an emphasis on the applied EEG and eye-tracking acquisition protocols, b) the artificial intelligence and signal preprocessing techniques that were applied in those experiments, and finally, c) the phishing attack types examined. We also provide a roadmap for future research in the field by suggesting ideas on how to combine state-of-the-art gaze-based mechanisms with EEG technologies for advancing phishing research. This leads to a discussion on the best practices for designing EEG and gaze-based frameworks.</p>","PeriodicalId":54628,"journal":{"name":"Personal and Ubiquitous Computing","volume":"26 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-03-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140165226","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":"Correction to: Offensive keyword extraction based on the attention mechanism of BERT and the eigenvector centrality using a graph representation","authors":"Gretel Liz De la Peña Sarracén, Paolo Rosso","doi":"10.1007/s00779-024-01791-y","DOIUrl":"https://doi.org/10.1007/s00779-024-01791-y","url":null,"abstract":"","PeriodicalId":54628,"journal":{"name":"Personal and Ubiquitous Computing","volume":"2008 10","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-03-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140246393","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":"An augmented reality approach for communicating intangible and architectural heritage through digital characters and scale models","authors":"","doi":"10.1007/s00779-024-01792-x","DOIUrl":"https://doi.org/10.1007/s00779-024-01792-x","url":null,"abstract":"<h3>Abstract</h3> <p>Intangible cultural heritage (ICH) represents living cultural expressions and practices that are part of the heritage of a community, and their preservation and transmission are considered highly important. Various methods and tools have been applied so far for the digitization and dissemination of ICH content including a wide range of technologies. Mobile augmented reality is a promising solution along this path that enables the overlap of digital and real-world information in an engaging and efficient manner. Despite the widespread use of AR in cultural heritage, there are not many studies regarding the user experience, the learning outcomes, and the way in which users observe and interact with the virtual content. This paper presents a mobile augmented reality installation that re-enacts the stages of leather tanning process, adopting a novel approach that augments 3D content upon a physical scale model of an old tannery. This approach pursues to transmit the cultural value of traditional craftmanship to visitors of the building and associate its architectural elements to its history and use. A user evaluation was conducted aiming to measure the users’ engagement, learning, and experience using the installation. The encouraging results led to a follow-up study about the impact of the physical scale model on the experience. Two variations of the experience have been studied, one with a physical scale model and one with a digital-only version in a between-subject design. The results of the two studies provide evidence that the proposed approach generated a positive user experience and evident learning gain and was considered easy to use, highlighting its potential to be widely adopted in buildings with architectural value.</p>","PeriodicalId":54628,"journal":{"name":"Personal and Ubiquitous Computing","volume":"22 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-03-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140046600","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":"DDoS attack traffic classification in SDN using deep learning","authors":"Nisha Ahuja, Debajyoti Mukhopadhyay, Gaurav Singal","doi":"10.1007/s00779-023-01785-2","DOIUrl":"https://doi.org/10.1007/s00779-023-01785-2","url":null,"abstract":"<p>Software-defined networking will be a critical component of the networking domain as it transitions from a standard networking design to an automation network. To meet the needs of the current scenario, this architecture redesign becomes mandatory. Besides, machine learning (ML) and deep learning (DL) techniques provide a significant solution in network attack detection, traffic classification, etc. The DDoS attack is still wreaking havoc. Previous work for DDoS attack detection in SDN has not yielded significant results, so the author has used the most recent deep learning technique to detect the attacks. In this paper, we aim to classify the network traffic into normal and malicious classes based on features in the available dataset by using various deep learning techniques. TCP, UDP, and ICMP traffic are considered normal; however, malicious traffic includes TCP Syn Attack, UDP Flood, and ICMP Flood, all of which are DDoS attack traffic. The major contribution of this paper is the identification of novel features for DDoS attack detection. Novel features are logged into the CSV file to create the dataset, and machine learning algorithms are trained on the created SDN dataset. Various work which has already been done for DDoS attack detection either used a non-SDN dataset or the research data is not made public. A novel hybrid machine learning model is utilized to perform the classification. The dataset used by the ML/DL algorithms is a collection of public datasets on DDoS attacks as well as an experimental DDoS dataset generated by us and publicly available on the Mendeley Data repository. A Python application performs the classification of traffic into one of the classes. From the various classifiers used, the accuracy score of 99.75% is achieved with Stacked Auto-Encoder Multi-layer Perceptron (SAE-MLP). To measure the effectiveness of the SDN-DDoS dataset, the other publicly available datasets are also evaluated against the same deep learning algorithms, and traffic classification accuracy is found to be significantly higher with the SDN-DDoS dataset. The attack detection time of 216.39 s also serve as experimental evidence.</p>","PeriodicalId":54628,"journal":{"name":"Personal and Ubiquitous Computing","volume":"71 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-01-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139552213","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":"Study of stability and object tracking of traffic video image for smart cities","authors":"Yongfeng Xing, Zhong Luo, Zhong Xian","doi":"10.1007/s00779-024-01786-9","DOIUrl":"https://doi.org/10.1007/s00779-024-01786-9","url":null,"abstract":"","PeriodicalId":54628,"journal":{"name":"Personal and Ubiquitous Computing","volume":"15 12","pages":"1-12"},"PeriodicalIF":0.0,"publicationDate":"2024-01-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139437301","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":"Effective remote automated vehicle operation: a mixed reality contextual comparison study","authors":"","doi":"10.1007/s00779-023-01782-5","DOIUrl":"https://doi.org/10.1007/s00779-023-01782-5","url":null,"abstract":"<h3>Abstract</h3> <p>With the increasing pervasion of automated vehicle fleets, there is an equally increased need to provide effective remote operation capabilities for interventions in cases of vehicle malfunction, rough road conditions or unnavigable areas. This shift in the human operator role to that of an observer and occasional teleoperator requires appropriate interaction interfaces. In this paper, we present an in-context analysis of previously proposed teleoperation information requirements realized as concrete user interfaces in a user study (N=16). Participants completed multiple tasks in a mixed approach, controlling an actual miniature vehicle via an XR enabled headset which showed two interface manifestations (minimum and maximum requirements realized). From the results, we derive separate sets of fundamental UI elements per requirement for effective teleoperation in two phases of interaction: orientation and navigation. We conclude with further suggestions to extend teleoperation UIs regarding contexts and tasks beyond the navigation use case used in the study.</p>","PeriodicalId":54628,"journal":{"name":"Personal and Ubiquitous Computing","volume":"9 19 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138681107","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":"Design friction in autonomous drive—exploring transitions between autonomous and manual drive in non-urgent situations","authors":"Jessica Bley, Alexander Eriksson, Lisa Johansson, Mikael Wiberg","doi":"10.1007/s00779-023-01780-7","DOIUrl":"https://doi.org/10.1007/s00779-023-01780-7","url":null,"abstract":"<p>In the ongoing turn to automation, the growing trend towards the design of conditionally and highly automated vehicles (C/HAV) is evident. In a CAV, the driver no longer needs to partake in the driving. However, the vehicle might send a takeover request (TOR) when the CAV’s system reaches its operational boundaries, i.e. a call for a transition from autonomous to manual drive. Previous research on TORs has focused on the context of urgent situations, e.g. hazards and unpredictable events. Furthermore, it has been noted that drivers’ situation awareness (SA) deteriorates after being in autonomous drive. However, less is known about TORs in non-urgent situations. Motivated by this need, the study explores how design friction can serve as a guiding concept for transferring control between autonomous and manual drive in non-urgent situations to increase situation awareness. Design friction is defined as elements of interactions that steer attention and guides the driver to take informed decisions. The work resulted in prototypes that leveraged design friction as part of a takeover sequence. The proposed design was empirically evaluated in a fixed-base medium-fidelity driving simulator. The results indicated that the level of friction might have been too extensive, as some annoyance was expressed. However, participants claimed to feel calm and aware of their surroundings at the moment of regaining control of the vehicle. This suggests that design friction is a promising tool for guiding concept design to enhance transitions from autonomous to manual drive.</p>","PeriodicalId":54628,"journal":{"name":"Personal and Ubiquitous Computing","volume":"191 ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-11-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138515193","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":"Increasing engagement and well-being of operators working with automation by integrating task models and gameful design","authors":"Célia Martinie, Philippe Palanque, Eric Barboni","doi":"10.1007/s00779-023-01783-4","DOIUrl":"https://doi.org/10.1007/s00779-023-01783-4","url":null,"abstract":"<p>Engagement and well-being are complex phenomena that deeply depend on the individuals themselves and include subjective perception of the past, present, and future experiences. Connecting with work adds a concrete dimension to engagement and well-being that makes it possible to consider designing for and assessing them in a given work context. In the gaming domain, gameful design is known as an efficient mean to increase engagement and well-being. This paper presents an approach to address both engagement and well-being at work and builds on the evolution of the field of HCI over the years to identify means of addressing engagement and well-being. We describe the concepts related to usability and how they evolved towards user experience to encompass more complex (related to self) elements. We show how previous work in the field has connected these major properties (using tasks descriptions) and how it might be possible to extend further embracing human needs and motivation theory. We propose to use gameful design and automation design (via RCRAFT framework) as two contributing disciplines to identify design options for increasing engagement and well-being of users/operators while performing their activities. Application of the framework is given by means of a concrete application building on top of the original Mackworth clock.</p>","PeriodicalId":54628,"journal":{"name":"Personal and Ubiquitous Computing","volume":"196 ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-11-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138515192","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":"Enlightening mode awareness","authors":"Alexander G. Mirnig, Magdalena Gärtner , Vivien Wallner, Cansu Demir, Yasemin Dönmez Özkan, Jakub Sypniewski, Alexander Meschtscherjakov","doi":"10.1007/s00779-023-01781-6","DOIUrl":"https://doi.org/10.1007/s00779-023-01781-6","url":null,"abstract":"<p>Driving an automated vehicle requires a clear understanding of its automation capabilities and resulting duties on the driver’s side. This is true across all levels of automation but especially so on SAE levels 3 and below, where the driver has an active driving task performance and/or monitoring role. If the automation capabilities and a driver’s understanding of them do not match, misuse can occur, resulting in decreased safety. In this paper, we present the results from a simulator study that investigated driving mode awareness support via ambient lights across automation levels 0, 2, and 3. We found lights in the steering wheel to be useful for momentary and lights below the windshield for permanent indication of automation-relevant information, whereas lights in the footwell showed to have little to no positive effects on driving mode awareness.</p>","PeriodicalId":54628,"journal":{"name":"Personal and Ubiquitous Computing","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-11-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138542810","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}