On Improving Generalization of CNN-Based Image Classification with Delineation Maps Using the CORF Push-Pull Inhibition Operator

Deployed image classification pipelines are typically dependent on the images captured in real-world environments. This means that images might be affected by different sources of perturbations (e.g. sensor noise in low-light environments). The main challenge arises by the fact that image quality directly impacts the reliability and consistency of classification tasks. This challenge has, hence, attracted wide interest within the computer vision communities. We propose a transformation step that attempts to enhance the generalization ability of CNN models in the presence of unseen noise in the test set. Concretely, the delineation maps of given images are determined using the CORF push-pull inhibition operator. Such an operation transforms an input image into a space that is more robust to noise before being processed by a CNN. We evaluated our approach on the Fashion MNIST data set with an AlexNet model. It turned out that the proposed CORF-augmented pipeline achieved comparable results on noise-free images to those of a conventional AlexNet classification model without CORF delineation maps, but it consistently achieved significantly superior performance on test images perturbed with different levels of Gaussian and uniform noise

Utilising Event Cognition Principles to Explore the Effects of Location Change on Memory Within Immersive Virtual Environments

Studies in chapters 2 and 3 have been publishedThe thesis covers a series of studies that explore and investigate the application of event cognition theory to the design of virtual reality (VR) spaces for improved memory recall. The thesis starts with a usability study of a recovery position VR training app developed within the University of Plymouth (Watson 2018, 2021). This work compares the recall and satisfaction of using this application across mobile VR, desktop displays, and pre-recorded video. Based on the first prototype the question then posed is: “Can we better design immersive virtual training spaces that support cognitive processes that might aid learning.” Although enhancing memory does not necessarily equate to more learning, recall of information is an important step in many approaches to education and training. Previous real world event cognition work has observed an increase in recall when separating information between rooms, compared to having the same information delivered within a single room (Pettijohn, 2016). This enhancement comes without any specified strategy from the subjects. Segmenting information between VR rooms might also observe similar memory benefits. VR allows complete control over the visual and audio feed to the user, the narrative of events, and affords spatial understanding similar to the real world. Across a further three studies, the thesis explores if recall can be improved by separating information between two immersive virtual rooms: In study 1, using a repeated measures design, subjects are exposed to two word lists within one VR room or between VR two rooms (Watson, 2021). In study 2, using a repeated measures design, subjects are exposed to two word lists within one room or between two rooms. However, both of these conditions are performed in both the real world and the immersive VR world.In study 3, using a repeated measures design, subjects are exposed to two word lists within one room or between two rooms. However, this study also controls for variation of the local and global scene upon word lists delivery. For example whether or not the word lists are delivered with the same voice and aesthetic, or variation within these characteristics. Based on our incremental study design, this work observes no significant benefit for segmenting wordlists between immersive virtual rooms for the population sample presented. To support these studies, a virtual reality tool is developed and refined to teach interaction and navigation paradigms, experimental procedures, and facilitate a realistic cognitive simulation of room environments through believable and distinct aesthetics. Post experiment surveys suggest that the virtual reality tool if fit for purpose as a tutorial tool and to deliver the virtual experimental conditions

Aesthetics-Guided Graph Clustering with Absent Modalities Imputation

Accurately clustering Internet-scale Internet users into multiple communities according to their aesthetic styles is a useful technique in image modeling and data mining. In this work, we present a novel partially-supervised model which seeks a sparse representation to capture photo aesthetics1. It optimally fuzes multi-channel features, i.e., human gaze behavior, quality scores, and semantic tags, each of which could be absent. Afterward, by leveraging the KL-divergence to distinguish the aesthetic distributions between photo sets, a large-scale graph is constructed to describe the aesthetic correlations between users. Finally, a dense subgraph mining algorithm which intrinsically supports outliers (i.e., unique users not belong to any community) is adopted to detect aesthetic communities. Comprehensive experimental results on a million-scale image set crawled from Flickr have demonstrated the superiority of our method. As a byproduct, the discovered aesthetic communities can enhance photo retargeting and video summarization substantially

Online customer experience in an emerging e-retail market

Although customer experience has attracted significant attention in marketing theorizing for over three decades, research has barely progressed beyond the traditional conceptualizations of the concept. Specifically, research on multichannel retailing experience is scarce and fragmented despite previous calls to investigate how customer experience can be optimized at different channels. Additionally, although eWOM is fast supplanting traditional WOM as a determinant of consumer behavior whilst Internet platforms have been declared the future fronts for successful customer relationship management, previous studies rarely examined how consumers process and integrate multiple online reviews especially dissatisfied eWOM. Extrapolating from the foregoing, the following research question is posed: “How can online retailers exploit the link between previous shopping experiences and perceived credibility of negative experience reviews (PCoNERs) to enhance consumer-firm relationship quality?”To answer the above research question, an experience-perception-attitude model was built on the foundations of two social cognitive psychology theories (i.e. the schema theory and the elaboration likelihood model (ELM)) and consequently tested through four scenario-based experiments mapped out into one pilot study and two main studies. The pilot study and study 1 utilized a 2 × 2 between-subject factorial design while study 2 employed 2 × 2 × 2 between-subject factorial design. Data was generated from undergraduate and postgraduate students recruited from two universities located in southern Nigeria. Exploratory factor analysis, partial least squares structural equation modelling procedure, independent sample t-test, Chi-square, one-way analysis of variance, and multivariate analysis of variance were the analytical techniques utilized.Five major contributions are made. First, the thesis developed and tested a unique experience-perception-attitude model from the perspective of two social cognitive psychology theories. The experience-perception-attitude model not only portrayed the multi-channel character of online customer experience but also advanced Verhoef et al.’s (2009) holistic and dynamic model of customer experience by demonstrating how consumer-firm relationship quality can be enhanced through a simultaneous consideration of shopping experiences emanating from both company website and social media site. Second, the thesis extends the context-specific nature of customer experience by demonstrating that emotional experience is the most important driver of PCoNERs in a recession-ridden emerging e-retailing market. Third, the study advances the eWOM literature and ELM by drawing on the ELM to demonstrate that PCoNERs have negative effect on consumer-firm relationship quality; while also demonstrating that the effects of the two thresholds of elaboration (i.e. review source credibility and review frequency) become infinitesimal if consumers are exposed to reviews with consistent valence. Fourth, the thesis adds to the experimental design technique utilized by channel integration researchers and previous panel data-based studies by drawing on the netnographic research approach to utilize naturalistic narratives as experimental scenarios. Finally, the findings offer an evidence-based guide on how e-retailers can practically engage in the systematic management of customer clues. The findings will also assist all categories of e-retailers determine the strategic position to pursue based on their resources and capabilities

At the Edges of Sleep

At the Edges of Sleep considers sleep in film and moving image art as both a subject matter to explore onscreen and a state to induce in the audience. Far from negating action or meaning, sleep extends into new territories as it designates ways of existing in the world, in relation to people, places, and the past. Defined positively, sleep also expands our understanding of reception beyond the binary of concentration and distraction. These possibilities converge in the work of Thai filmmaker and artist Apichatpong Weerasethakul, who has explored the subject of sleep systematically throughout his career. In examining Apichatpong’s work, Jean Ma brings together an array of interlocutors—from Freud to Proust, George Méliès to Tsai Ming-liang, Weegee to Warhol—to rethink moving images through the lens of sleep. Ma exposes an affinity between cinema, spectatorship, and sleep that dates to the earliest years of filmmaking, and sheds light upon the shifting cultural valences of sleep in the present moment. “Moving with ease across historical contextualization, theoretical inquiry, and the close reading of films and other cultural objects, Jean Ma takes on urgent contemporary debates pertaining to corporeality, slowness, attention, and cinematic relocation. A true pleasure to read.” — ERIKA BALSOM, author of After Uniqueness: A History of Film and Video Art in Circulation “Intellectually ambitious, erudite across a number of fields, poetically written yet lucid, and both historically informed and deeply attuned to our own moment.” — KAREN REDROBE, author of Crash: Cinema and the Politics of Speed and Stasis “Downright groundbreaking in its far-ranging and far-reaching insights.” — DANA POLAN, Cinema Studies, New York Universit

pHealth 2021. Proc. of the 18th Internat. Conf. on Wearable Micro and Nano Technologies for Personalised Health, 8-10 November 2021, Genoa, Italy

Smart mobile systems – microsystems, smart textiles, smart implants, sensor-controlled medical devices – together with related body, local and wide-area networks up to cloud services, have become important enablers for telemedicine and the next generation of healthcare services. The multilateral benefits of pHealth technologies offer enormous potential for all stakeholder communities, not only in terms of improvements in medical quality and industrial competitiveness, but also for the management of healthcare costs and, last but not least, the improvement of patient experience. This book presents the proceedings of pHealth 2021, the 18th in a series of conferences on wearable micro and nano technologies for personalized health with personal health management systems, hosted by the University of Genoa, Italy, and held as an online event from 8 – 10 November 2021. The conference focused on digital health ecosystems in the transformation of healthcare towards personalized, participative, preventive, predictive precision medicine (5P medicine). The book contains 46 peer-reviewed papers (1 keynote, 5 invited papers, 33 full papers, and 7 poster papers). Subjects covered include the deployment of mobile technologies, micro-nano-bio smart systems, bio-data management and analytics, autonomous and intelligent systems, the Health Internet of Things (HIoT), as well as potential risks for security and privacy, and the motivation and empowerment of patients in care processes. Providing an overview of current advances in personalized health and health management, the book will be of interest to all those working in the field of healthcare today

Systematic Approaches for Telemedicine and Data Coordination for COVID-19 in Baja California, Mexico

Conference proceedings info: ICICT 2023: 2023 The 6th International Conference on Information and Computer Technologies Raleigh, HI, United States, March 24-26, 2023 Pages 529-542We provide a model for systematic implementation of telemedicine within a large evaluation center for COVID-19 in the area of Baja California, Mexico. Our model is based on human-centric design factors and cross disciplinary collaborations for scalable data-driven enablement of smartphone, cellular, and video Teleconsul-tation technologies to link hospitals, clinics, and emergency medical services for point-of-care assessments of COVID testing, and for subsequent treatment and quar-antine decisions. A multidisciplinary team was rapidly created, in cooperation with different institutions, including: the Autonomous University of Baja California, the Ministry of Health, the Command, Communication and Computer Control Center of the Ministry of the State of Baja California (C4), Colleges of Medicine, and the College of Psychologists. Our objective is to provide information to the public and to evaluate COVID-19 in real time and to track, regional, municipal, and state-wide data in real time that informs supply chains and resource allocation with the anticipation of a surge in COVID-19 cases. RESUMEN Proporcionamos un modelo para la implementación sistemática de la telemedicina dentro de un gran centro de evaluación de COVID-19 en el área de Baja California, México. Nuestro modelo se basa en factores de diseño centrados en el ser humano y colaboraciones interdisciplinarias para la habilitación escalable basada en datos de tecnologías de teleconsulta de teléfonos inteligentes, celulares y video para vincular hospitales, clínicas y servicios médicos de emergencia para evaluaciones de COVID en el punto de atención. pruebas, y para el tratamiento posterior y decisiones de cuarentena. Rápidamente se creó un equipo multidisciplinario, en cooperación con diferentes instituciones, entre ellas: la Universidad Autónoma de Baja California, la Secretaría de Salud, el Centro de Comando, Comunicaciones y Control Informático. de la Secretaría del Estado de Baja California (C4), Facultades de Medicina y Colegio de Psicólogos. Nuestro objetivo es proporcionar información al público y evaluar COVID-19 en tiempo real y rastrear datos regionales, municipales y estatales en tiempo real que informan las cadenas de suministro y la asignación de recursos con la anticipación de un aumento de COVID-19. 19 casos.ICICT 2023: 2023 The 6th International Conference on Information and Computer Technologieshttps://doi.org/10.1007/978-981-99-3236-