Friendy: A Deep Learning based Framework for Assisting in Young Autistic Children Psychotherapy Interventions

The management of children with autism is a complex and challenging task due to the symptoms related to the disorder that affect their cognitive and behavioral functioning. This makes it difficult for them to process information and adapt to new situations, leading to non-cooperative tendencies during therapy sessions, which can slow down their progress. To support professionals and enhance the therapy experience for these children, a deep learning and contextual chatbot technology based framework, named ”Friendy,” has been proposed and implemented. The results of its performance testing show a high accuracy rate of 80.5% and the experimentation with independent professionals demonstrate its promising potential for scalability and integration into future therapy processes. The framework provides a valuable solution to the difficulties encountered in the management of children with autism, offering an innovative and effective approach to their care

Recent Developments in Smart Healthcare

Medicine is undergoing a sector-wide transformation thanks to the advances in computing and networking technologies. Healthcare is changing from reactive and hospital-centered to preventive and personalized, from disease focused to well-being centered. In essence, the healthcare systems, as well as fundamental medicine research, are becoming smarter. We anticipate significant improvements in areas ranging from molecular genomics and proteomics to decision support for healthcare professionals through big data analytics, to support behavior changes through technology-enabled self-management, and social and motivational support. Furthermore, with smart technologies, healthcare delivery could also be made more efficient, higher quality, and lower cost. In this special issue, we received a total 45 submissions and accepted 19 outstanding papers that roughly span across several interesting topics on smart healthcare, including public health, health information technology (Health IT), and smart medicine

The Author, Not the Tale: Memory, Narrative, and the Self

There is a confusing diversity of conceptions of ‘the self’ in philosophical, psychological, psychiatric, and neuroscientific discourse. To remedy this, I propose and defend a naturalistic view of the self: the system view. The self is here conceived of as the complex and dynamic system of our higher-level self-monitoring functions, including our capacities for self-representation over time. These are grounded in more basic self-representational capacities that are widespread among different species. On the system view, the self is not to be confounded with the attributes of personhood, as it often has been in philosophical discourse. Nor is the self over time a product of memory, as philosophers in Locke’s tradition, and some popular intuitions, seem to take it to be. I discuss the complex nature of autobiographical memory and argue that, given that much of our autobiographical remembering is already a reconstructive process, the self is not produced by our memories, but is the system that produces them. The system view is also opposed to currently fashionable views of the self as ‘narrative’. Narrative constructionism about the self has an authorship problem: it does not account for the processes that enable and subserve narration about oneself in the first place. I argue that it is in these processes, rather than in their productions, that we should conceptually locate the self. Neither should we take narrative capacities to be essential for a self. To illustrate the advantages of the system view, I discuss autism spectrum conditions and other defects and disorders such as dementia, dissociative disorders, and schizophrenia. In these conditions, particular self-representational capacities are differently configured, impaired, or absent, but this does not entail a wholesale loss or lack of self. Instead, such conditions are better characterized as specific system malfunctions. I conclude by suggesting directions for future research

Reassembling Knowledge Translation Through a Case of Autism Genomics: Multiplicity and Coordination Amidst Practiced Actor-Networks

Knowledge translation (KT) has become a ubiquitous and important component within the Canadian health research funding environment. Despite a large and burgeoning literature on the topic of KT, research on the science of KT spans a very narrow philosophical spectrum, with published studies almost exclusively positioned within positivism. Grounded in a constructionist philosophical position and influenced by actor-network theory, this dissertation aims to contribute to the Canadian KT discussion by imagining new possibilities for conceptualizing KT. This is an empirical-theoretical study which is based on eight months of data collection, including interviews, participant observation, and document analysis. This data collection took place in a basic science laboratory, a clinic, and amongst families involved in genomic research pertaining to Autism Spectrum Disorder in a Canadian city. Interviews were transcribed verbatim and organization of the data was aided by QSR Nvivo software. Theoretical insights put forward in this dissertation are based on a detailed description of the everyday, local, micro-dynamics of knowledge translation within a particular case study of an autism genomics project. Through data collection I have followed the practices of a laboratory, clinic, and family homes through which genomic knowledge was assembled and re-assembled. Through the exploration of the practices of scientists, clinicians, and families involved in an autism genetics study, I examine the concepts of multiplicity, difference, and coordination. I argue that autism is practiced differently, through different technologies and assessments, in the laboratory, clinic, and home. This dissertation closes with a new framework for and model of the knowledge translation process called the Local Translations of Knowledge in Practice model. I argue that expanding the range of theoretical and philosophical positions attended to in KT research will contribute to a richer understanding of the KT process and move forward the Canadian KT agenda. Ethics approval for this research was obtained from The University of Western Ontario and from the hospital in which the data was gathered

Autistic functioning and language development

This thesis is a retrospective qualitative study based on psychotherapy sessions with children presenting autistic features who use language in atypical ways. The aim was to understand, through the transferential relationship, what psychological context in terms of anxieties and defences prevents the child from using language efficiently. Hypotheses concerning children‘s use of language in the context of their emotional oscillation and evolution during the course of treatment were noted and checked against subsequent developments. They were also triangulated with the outcome of a grounded theory analysis. The grounded theory analysis led to the emergence of higher-level themes that were compared within and across cases and allowed factors surrounding the children‘s use of language to be conceptualized. The grounded theory method was used in parallel with the usual process of evaluation of the dynamics of each session and patient used by psychoanalysts a posteriori and which is part of the researcher‘s background. This procedure was enhanced by the use of Bion‘s Grid, here in a version adapted to the aims of the research. This approach is discussed in detail in the Methodology chapter. The psychoanalytic theoretical background that supported the research was mainly based on the tradition of Object-Relations Theory, particularly the evolution of Kleinian thinking represented by Bion‘s works, and as far as autism is concerned, by Frances Tustin and Donald Meltzer‘s formulations. Concerning the subject of language development, Meltzer‘s explorations on the necessary conditions for its development and the philosopher Wittgenstein‘s investigations on the social function of language were the main influences of this work. The evolution of the children‘s use of language in parallel with their emotional development in the context of their psychotherapies was analyzed and some hypotheses about the oscillations in their emotional and mental functioning were made. The oscillation in the children‘s emotional state, language use and thinking processes was also studied in terms of a general fluctuation between different mental states that was considered to be present in different degrees and quality in mental life and more strongly when there are limitations in communication skills and social interaction. A few excerpts from notes on adolescent and adult cases with autistic features were included in the Discussion Chapters to briefly illustrate this aspect

Autistic Functioning and Language Development

This thesis is a retrospective qualitative study based on psychotherapy sessions with children presenting autistic features who use language in atypical ways. The aim was to understand, through the transferential relationship, what psychological context in terms of anxieties and defences prevents the child from using language efficiently. Hypotheses concerning children‘s use of language in the context of their emotional oscillation and evolution during the course of treatment were noted and checked against subsequent developments. They were also triangulated with the outcome of a grounded theory analysis. The grounded theory analysis led to the emergence of higher-level themes that were compared within and across cases and allowed factors surrounding the children‘s use of language to be conceptualized. The grounded theory method was used in parallel with the usual process of evaluation of the dynamics of each session and patient used by psychoanalysts a posteriori and which is part of the researcher‘s background. This procedure was enhanced by the use of Bion‘s Grid, here in a version adapted to the aims of the research. This approach is discussed in detail in the Methodology chapter. The psychoanalytic theoretical background that supported the research was mainly based on the tradition of Object-Relations Theory, particularly the evolution of Kleinian thinking represented by Bion‘s works, and as far as autism is concerned, by Frances Tustin and Donald Meltzer‘s formulations. Concerning the subject of language development, Meltzer‘s explorations on the necessary conditions for its development and the philosopher Wittgenstein‘s investigations on the social function of language were the main influences of this work. The evolution of the children‘s use of language in parallel with their emotional development in the context of their psychotherapies was analyzed and some hypotheses about the oscillations in their emotional and mental functioning were made. The oscillation in the children‘s emotional state, language use and thinking processes was also studied in terms of a general fluctuation between different mental states that was considered to be present in different degrees and quality in mental life and more strongly when there are limitations in communication skills and social interaction. A few excerpts from notes on adolescent and adult cases with autistic features were included in the Discussion Chapters to briefly illustrate this aspect

Using MapReduce Streaming for Distributed Life Simulation on the Cloud

Distributed software simulations are indispensable in the study of large-scale life models but often require the use of technically complex lower-level distributed computing frameworks, such as MPI. We propose to overcome the complexity challenge by applying the emerging MapReduce (MR) model to distributed life simulations and by running such simulations on the cloud. Technically, we design optimized MR streaming algorithms for discrete and continuous versions of Conway’s life according to a general MR streaming pattern. We chose life because it is simple enough as a testbed for MR’s applicability to a-life simulations and general enough to make our results applicable to various lattice-based a-life models. We implement and empirically evaluate our algorithms’ performance on Amazon’s Elastic MR cloud. Our experiments demonstrate that a single MR optimization technique called strip partitioning can reduce the execution time of continuous life simulations by 64%. To the best of our knowledge, we are the first to propose and evaluate MR streaming algorithms for lattice-based simulations. Our algorithms can serve as prototypes in the development of novel MR simulation algorithms for large-scale lattice-based a-life models.https://digitalcommons.chapman.edu/scs_books/1014/thumbnail.jp

Designing Embodied Interactive Software Agents for E-Learning: Principles, Components, and Roles

Embodied interactive software agents are complex autonomous, adaptive, and social software systems with a digital embodiment that enables them to act on and react to other entities (users, objects, and other agents) in their environment through bodily actions, which include the use of verbal and non-verbal communicative behaviors in face-to-face interactions with the user. These agents have been developed for various roles in different application domains, in which they perform tasks that have been assigned to them by their developers or delegated to them by their users or by other agents. In computer-assisted learning, embodied interactive pedagogical software agents have the general task to promote human learning by working with students (and other agents) in computer-based learning environments, among them e-learning platforms based on Internet technologies, such as the Virtual Linguistics Campus (www.linguistics-online.com). In these environments, pedagogical agents provide contextualized, qualified, personalized, and timely assistance, cooperation, instruction, motivation, and services for both individual learners and groups of learners. This thesis develops a comprehensive, multidisciplinary, and user-oriented view of the design of embodied interactive pedagogical software agents, which integrates theoretical and practical insights from various academic and other fields. The research intends to contribute to the scientific understanding of issues, methods, theories, and technologies that are involved in the design, implementation, and evaluation of embodied interactive software agents for different roles in e-learning and other areas. For developers, the thesis provides sixteen basic principles (Added Value, Perceptible Qualities, Balanced Design, Coherence, Consistency, Completeness, Comprehensibility, Individuality, Variability, Communicative Ability, Modularity, Teamwork, Participatory Design, Role Awareness, Cultural Awareness, and Relationship Building) plus a large number of specific guidelines for the design of embodied interactive software agents and their components. Furthermore, it offers critical reviews of theories, concepts, approaches, and technologies from different areas and disciplines that are relevant to agent design. Finally, it discusses three pedagogical agent roles (virtual native speaker, coach, and peer) in the scenario of the linguistic fieldwork classes on the Virtual Linguistics Campus and presents detailed considerations for the design of an agent for one of these roles (the virtual native speaker)

Multispecies Storytelling in Intermedial Practices

Multispecies Storytelling in Intermedial Practices is a speculative endeavor asking how we may represent, relay, and read worlds differently by seeing other species as protagonists in their own rights. What other stories are to be invented and told from within those many-tongued chatters of multispecies collectives? Could such stories teach us how to become human otherwise? Often, the human is defined as the sole creature who holds language, and consequently is capable of articulating, representing, and reflecting upon the world. And yet, the world is made and remade by ongoing and many-tongued conversations between various organisms reverberating with sound, movement, gestures, hormones, and electrical signals. Everywhere, life is making itself known, heard, and understood in a wide variety of media and modalities. Some of these registers are available to our human senses, while some are not. Facing a not-so-distant future catastrophe, which in many ways and for many of us is already here, it is becoming painstakingly clear that our imaginaries are in dire need of corrections and replacements. How do we cultivate and share other kinds of stories and visions of the world that may hold promises of modest, yet radical hope? If we keep reproducing the same kind of languages, the same kinds of scientific gatekeeping, the same kinds of stories about “our” place in nature, we remain numb in the face of collapse. Multispecies Storytelling in Intermedial Practices offers steps toward a (self)critical multispecies philosophy which interrogates and qualifies the broad and seemingly neutral concept of humanity utilized in and around conversations grounded within Western science and academia. Artists, activists, writers, and scientists give a myriad of different interpretations of how to tell our worlds using different media – and possibly gives hints as to how to change it, too