457 research outputs found
Conversations on Empathy
In the aftermath of a global pandemic, amidst new and ongoing wars, genocide, inequality, and staggering ecological collapse, some in the public and political arena have argued that we are in desperate need of greater empathy — be this with our neighbours, refugees, war victims, the vulnerable or disappearing animal and plant species. This interdisciplinary volume asks the crucial questions: How does a better understanding of empathy contribute, if at all, to our understanding of others? How is it implicated in the ways we perceive, understand and constitute others as subjects? Conversations on Empathy examines how empathy might be enacted and experienced either as a way to highlight forms of otherness or, instead, to overcome what might otherwise appear to be irreducible differences. It explores the ways in which empathy enables us to understand, imagine and create sameness and otherness in our everyday intersubjective encounters focusing on a varied range of "radical others" – others who are perceived as being dramatically different from oneself. With a focus on the importance of empathy to understand difference, the book contends that the role of empathy is critical, now more than ever, for thinking about local and global challenges of interconnectedness, care and justice
Complexity Science in Human Change
This reprint encompasses fourteen contributions that offer avenues towards a better understanding of complex systems in human behavior. The phenomena studied here are generally pattern formation processes that originate in social interaction and psychotherapy. Several accounts are also given of the coordination in body movements and in physiological, neuronal and linguistic processes. A common denominator of such pattern formation is that complexity and entropy of the respective systems become reduced spontaneously, which is the hallmark of self-organization. The various methodological approaches of how to model such processes are presented in some detail. Results from the various methods are systematically compared and discussed. Among these approaches are algorithms for the quantification of synchrony by cross-correlational statistics, surrogate control procedures, recurrence mapping and network models.This volume offers an informative and sophisticated resource for scholars of human change, and as well for students at advanced levels, from graduate to post-doctoral. The reprint is multidisciplinary in nature, binding together the fields of medicine, psychology, physics, and neuroscience
Behavior quantification as the missing link between fields: Tools for digital psychiatry and their role in the future of neurobiology
The great behavioral heterogeneity observed between individuals with the same
psychiatric disorder and even within one individual over time complicates both
clinical practice and biomedical research. However, modern technologies are an
exciting opportunity to improve behavioral characterization. Existing
psychiatry methods that are qualitative or unscalable, such as patient surveys
or clinical interviews, can now be collected at a greater capacity and analyzed
to produce new quantitative measures. Furthermore, recent capabilities for
continuous collection of passive sensor streams, such as phone GPS or
smartwatch accelerometer, open avenues of novel questioning that were
previously entirely unrealistic. Their temporally dense nature enables a
cohesive study of real-time neural and behavioral signals.
To develop comprehensive neurobiological models of psychiatric disease, it
will be critical to first develop strong methods for behavioral quantification.
There is huge potential in what can theoretically be captured by current
technologies, but this in itself presents a large computational challenge --
one that will necessitate new data processing tools, new machine learning
techniques, and ultimately a shift in how interdisciplinary work is conducted.
In my thesis, I detail research projects that take different perspectives on
digital psychiatry, subsequently tying ideas together with a concluding
discussion on the future of the field. I also provide software infrastructure
where relevant, with extensive documentation.
Major contributions include scientific arguments and proof of concept results
for daily free-form audio journals as an underappreciated psychiatry research
datatype, as well as novel stability theorems and pilot empirical success for a
proposed multi-area recurrent neural network architecture.Comment: PhD thesis cop
The osteopath-parent-child triad in osteopathic care in the first 2 years of life: a qualitative study
BackgroundEnactivism and active inference are two important concepts in the field of osteopathy. While enactivism emphasizes the role of the body and the environment in shaping our experiences and understanding of the world, active inference emphasizes the role of action and perception in shaping our experiences and understanding of the world. Together, these frameworks provide a unique perspective on the practice of osteopathy, and how it can be used to facilitate positive change in patients. Since the neonatal period is a crucial time for development, osteopaths should aim to create a therapeutic relationship. Arguably, through participatory sense-making, osteopaths can help the baby build a generative model (with positive priors) to deal with stress and needs throughout their life.AimSince the literature considers that interactions with the environment, which enact the patients’ experiences, depending on contextual factors and communication between patient and caregiver, this research explored whether there is a correspondence between the indications in the literature and clinical practice in the management of the mother/parent–child dyad during osteopathic care on children aged 0 to 2 years old.MethodsSemi-structured interviews were conducted with a purposive sample of nine osteopaths with experience in the field of pediatrics. Interviews were transcribed verbatim, and constructivist grounded theory was used to conceptualize, collect and analyze data. Codes and categories were actively constructed through an interpretive/constructionist paradigm.ResultsThe core category was the idea of the pediatric osteopath as a support for the family, not only for the child. Four additional categories were identified: (1) Preparing a safe environment for both children and parents, (2) Communication, (3) Attachment and synchrony, and (4) Synchronization.ConclusionThrough participatory sense-making, osteopaths manage contextual factors to establish an effective therapeutic alliance through the osteopath-parent–child triad to facilitate the construction of the child’s internal generative model to promote healthy development. The therapeutic encounter is considered an encounter between embodied subjects, occurring within a field of affordances (ecological niche) that allows the interlocutors to actively participate in creating new meanings through interpersonal synchronization. Participatory sense-making and the establishment of a therapeutic alliance through the osteopath-parent–child triad are crucial to promote healthy development in the child
Metaverse. Old urban issues in new virtual cities
Recent years have seen the arise of some early attempts to build virtual cities,
utopias or affective dystopias in an embodied Internet, which in some respects appear to
be the ultimate expression of the neoliberal city paradigma (even if virtual). Although
there is an extensive disciplinary literature on the relationship between planning and
virtual or augmented reality linked mainly to the gaming industry, this often avoids design
and value issues. The observation of some of these early experiences - Decentraland,
Minecraft, Liberland Metaverse, to name a few - poses important questions and problems
that are gradually becoming inescapable for designers and urban planners, and allows
us to make some partial considerations on the risks and potentialities of these early virtual
cities
Neonatal participation in neonatal imitation : narrative in newborn dialogues
Since the publication of Meltzoff and Moore’s seminal paper, neonatal imitation has been discussed, debated and scrutinised at considerable length. Despite this, the temporal structure within which the interaction sits, has received limited attention. We hypothesise underlying successful examples of neonatal imitation exists a narrative temporal structure, expressed and perceived not only through vocalisations but also (if not primarily) through movement. We contextualise neonatal imitation through a communicative lens, viewing the phenomenon as an early dialogue between adult and infant, underpinned by the same narrative structure as other ‘proto-conversations’ in infancy. From this perspective several of the leading and traditional theories that have been proposed to explain neonatal imitation are considered. Ultimately, we argue neonatal imitation is an innately dialogical phenomenon that forms one of the first examples of primary intersubjectivity, exemplifying the importance of the neonatal period in human psychological and social development. On this basis we propose further study is required into the temporal structure underlying neonatal imitation
Towards Video Transformers for Automatic Human Analysis
[eng] With the aim of creating artificial systems capable of mirroring the nuanced understanding and interpretative powers inherent to human cognition, this thesis embarks on an exploration of the intersection between human analysis and Video Transformers. The objective is to harness the potential of Transformers, a promising architectural paradigm, to comprehend the intricacies of human interaction, thus paving the way for the development of empathetic and context-aware intelligent systems. In order to do so, we explore the whole Computer Vision pipeline, from data gathering, to deeply analyzing recent developments, through model design and experimentation.
Central to this study is the creation of UDIVA, an expansive multi-modal, multi-view dataset capturing dyadic face-to-face human interactions. Comprising 147 participants across 188 sessions, UDIVA integrates audio-visual recordings, heart-rate measurements, personality assessments, socio- demographic metadata, and conversational transcripts, establishing itself as the largest dataset for dyadic human interaction analysis up to this date. This dataset provides a rich context for probing the capabilities of Transformers within complex environments. In order to validate its utility, as well as to elucidate Transformers' ability to assimilate diverse contextual cues, we focus on addressing the challenge of personality regression within interaction scenarios. We first adapt an existing Video Transformer to handle multiple contextual sources and conduct rigorous experimentation. We empirically observe a progressive enhancement in model performance as more context is added, reinforcing the potential of Transformers to decode intricate human dynamics. Building upon these findings, the Dyadformer emerges as a novel architecture, adept at long-range modeling of dyadic interactions. By jointly modeling both participants in the interaction, as well as embedding multi- modal integration into the model itself, the Dyadformer surpasses the baseline and other concurrent approaches, underscoring Transformers' aptitude in deciphering multifaceted, noisy, and challenging tasks such as the analysis of human personality in interaction.
Nonetheless, these experiments unveil the ubiquitous challenges when training Transformers, particularly in managing overfitting due to their demand for extensive datasets. Consequently, we conclude this thesis with a comprehensive investigation into Video Transformers, analyzing topics ranging from architectural designs and training strategies, to input embedding and tokenization, traversing through multi-modality and specific applications. Across these, we highlight trends which optimally harness spatio-temporal representations that handle video redundancy and high dimensionality. A culminating performance comparison is conducted in the realm of video action classification, spotlighting strategies that exhibit superior efficacy, even compared to traditional CNN-based methods.[cat] Aquesta tesi busca crear sistemes artificials que reflecteixin les habilitats de comprensió i interpretació humanes a través de l'ús de Transformers per a vÃdeo. L'objectiu és utilitzar aquestes arquitectures per comprendre millor la interacció humana i desenvolupar sistemes intel·ligents i conscients de l'entorn. Això implica explorar à mplies à rees de la Visió per Computador, des de la recopilació de dades fins a l'anà lisi de l'estat de l'art i la prova experimental d'aquests models.
Una part essencial d'aquest estudi és la creació d'UDIVA, un ampli conjunt de dades multimodal i multivista que enregistra interaccions humanes cara a cara. Amb 147 participants i 188 sessions, UDIVA inclou contingut audiovisual, freqüència cardÃaca, perfils de personalitat, dades sociodemogrà fiques i transcripcions de les converses. És el conjunt de dades més gran conegut per a l'anà lisi de la interacció humana dià dica i proporciona un context ric per a l'estudi de les capacitats dels Transformers en entorns complexos. Per tal de validar la seva utilitat i les habilitats dels Transformers, ens centrem en la regressió de la personalitat. Inicialment, adaptem un Transformer de vÃdeo per integrar diverses fonts de context. Mitjançant experiments exhaustius, observem millores progressives en els resultats amb la inclusió de més context, confirmant la capacitat dels Transformers. Motivats per aquests resultats, desenvolupem el Dyadformer, una arquitectura per interaccions dià diques de llarga duració. Aquesta nova arquitectura considera simultà niament els dos participants en la interacció i incorpora la multimodalitat en un sol model. El Dyadformer supera la nostra proposta inicial i altres treballs similars, destacant la capacitat dels Transformers per abordar tasques complexes.
No obstant això, aquestos experiments revelen reptes d'entrenament dels Transformers, com el sobreajustament, per la seva necessitat de grans conjunts de dades. La tesi conclou amb una anà lisi profunda dels Transformers per a vÃdeo, incloent dissenys arquitectònics, estratègies d'entrenament, preprocessament de vÃdeos, tokenització i multimodalitat. S'identifiquen tendències per gestionar la redundà ncia i alta dimensionalitat de vÃdeos i es realitza una comparació de rendiment en la classificació d'accions a vÃdeo, destacant estratègies d'eficà cia superior als mètodes tradicionals basats en convolucions
Social influences on affective responses to negative experiences
As social human beings, the way we emotionally respond to what happens around us is often regulated by our interactions with others. The overall aim of this thesis is to advance the understanding of how social influences surrounding negative experiences can affect the formation, regulation and transfer of affective responses. Throughout four studies, we examined the impact of different kinds of social influences (face-to-face and online) surrounding various negative experiences (experimental analogues for trauma experiences), and how these social influences impact affective responses (from self-reported measures to physiological responses).
In Study I, dyads of participants underwent a vicarious threat conditioning paradigm to investigate whether physiological synchrony between them during learning predicted the strength of observationally acquired conditioned responses and examine the potential role of trait empathy. As predicted, increased physiological synchronization during learning led to a stronger CS differentiation during the test phase, but unlike our predictions, self-reported empathy was not found to be related to physiological coupling. These findings support the role of social influences in the formation of affective responses and indicate that the physiological synchrony captured here may be more related to experience sharing rather than individuals’ tendency to empathize with others.
Study II tested whether threat conditioning generated persistent intrusive memories of neutral stimuli, and whether different social support interactions after threat acquisition modulated the expression of emotional memories, as measured by skin-conductance responses and number of intrusive memories. Social support interactions consisted of two social support conditions (supportive social interaction versus unsupportive social interaction) and a control group (no social interaction). Our results indicated that threat conditioning generated intrusive memories, with greater number of intrusions of CS+ than CS- and these intrusive memories were still measurable one year later, especially for individuals with higher trait anxiety and a greater number of previous trauma experiences. Our findings support the literature indicating the contribution of associative processes in the formation of intrusive memories and demonstrate the advantage of adding the measure of intrusive memories to a standard Pavlovian threat conditioning paradigm for investigating short and long term intrusive memories. Finally, these findings suggest that the specific the support interactions used in this study might not modulate the processes underlying memory consolidation and call attention to the difficulty of operationalizing social support interactions in an experimental context.
Study III is composed of two online sub-studies investigating the social transmission of threat and safety evaluations. In sub-study 1, we combined behavioral and computational
modeling approaches to estimate the influence of others’ online evaluations of negative pictures on participant’s own evaluations. In sub-study 2, we replicated these findings and further demonstrated that others’ evaluations led participants to shift their affective response to these pictures. Interestingly, seeing that others evaluate pictures as safe resulted in individuals feeling less distressed towards these pictures, suggesting that the observation of social safety cues online could attenuate the spread of negative emotions. Our findings offer a mechanism for how people integrate their own and others’ experiences when exposed to emotional content online. Furthermore, knowing how threat and safety information propagate online and its impact on people’s wellbeing could be an important tool to prevent the impact of the spread of threatening information online.
Study IV asked whether using the trauma film paradigm in an online setting could induce similar emotional responses as in-lab experiments. We also tested whether reading previous participants’ appraisals after watching the trauma film modulated participants’ emotional responses, as measured by changes in negative mood and number of intrusive memories during the subsequent seven days. The trauma film online replicated previous in-lab results, although with a somewhat lower mean number of intrusive memories. Our results indicated that reading positive comments after watching the film decreased negative mood, compared to reading negative comments or no comments. Reading others’ appraisal did not modulate the number of intrusive memories. These results demonstrate that the digital version of the trauma film paradigm can be used as an experimental analogue for exposure to aversive content online and enables the experimental investigation of how such content impacts mental health. Moreover, our findings indicate an improvement of mood following the exposure to negative visual content through positive social reappraisal, paving the way towards this goal.
These four studies demonstrate that vast range of ways in which social interactions influence affective responses, from verbal to non-verbal exchanges in both face-to-face and online settings. Our work also illustrates the complexity of experimentally investigating social influences and the specific processes involved
Contributions of Human Prefrontal Cortex to the Recogitation of Thought
Human beings have a unique ability to not only verbally articulate past and present experiences, as well as potential future ones, but also evaluate the mental representations of such things. Some evaluations do little good, in that they poorly reflect facts, create needless emotional distress, and contribute to the obstruction of personal goals, whereas some evaluations are the converse: They are grounded in logic, empiricism, and pragmatism and, therefore, are functional rather than dysfunctional. The aim of non-pharmacological mental health interventions is to revise dysfunctional thoughts into more adaptive, healthier ones; however, the neurocognitive mechanisms driving cognitive change have hitherto remained unclear. Therefore, this thesis examines the role of the prefrontal cortex (PFC) in this aspect of human higher cognition using the relatively new method of functional near-infrared spectroscopy (fNIRS). Chapter 1 advances recogitation as the mental ability on which cognitive restructuring largely depends, concluding that, as a cognitive task, it is a form of open-ended human problem-solving that uses metacognitive and reasoning faculties. Because these faculties share similar executive resources, Chapter 2 discusses the systems in the brain involved in controlled information processing, specifically the nature of executive functions and their neural bases. Chapter 3 builds on these ideas to propose an information-processing model of recogitation, which predicts the roles of different subsystems localized within the PFC and elsewhere in the context of emotion regulation. This chapter also highlights several theoretical and empirical challenges to investigating this neurocognitive theory and proposes some solutions, such as to use experimental designs that are more ecologically valid. Chapter 4 focuses on a neuroimaging method that is best suited to investigating questions of spatial localization in ecological experiments, namely functional near-infrared spectroscopy (fNIRS). Chapter 5 then demonstrates a novel approach to investigating the neural bases of interpersonal interactions in clinical settings using fNIRS. Chapter 6 explores physical activity as a ‘bottom-up’ approach to upregulating the PFC, in that it might help clinical populations with executive deficits to regulate their mental health from the ‘top-down’. Chapter 7 addresses some of the methodological issues of investigating clinical interactions and physical activity in more naturalistic settings by assessing an approach to recovering functional events from observed brain data. Chapter 8 draws several conclusions about the role of the PFC in improving psychological as well as physiological well-being, particularly that rostral PFC is inextricably involved in the cognitive effort to modulate dysfunctional thoughts, and proposes some important future directions for ecological research in cognitive neuroscience; for example, psychotherapy is perhaps too physically stagnant, so integrating exercise into treatment environments might boost the effectiveness of intervention strategies
Landscapes of Affective Interaction: Young Children's Enactive Engagement with Body Metaphors
Empirical research into embodied meaning making suggests specific
sensorimotor experiences can support children’s understanding of abstract
science ideas. This view is aligned with enactive and grounded cognition
perspectives, both centred in the view that our ability to conceptualise emerges
from our experiences of interaction with our environment. While much of this
research has focused on understanding action and action processes in
individual children or children in pairs, less attention has been paid to affective
dimensions of young children’s group interaction, and how this relates to
meaning making with body metaphors. Indeed, Gallagher describes how no
action exists in a vacuum, but rather revolves around a complex web of
affective-pragmatic features comprising a ‘Landscape of Interaction’ (2020,
p.42).
This research project addresses gaps in research in understanding young
children’s affective engagement from an enactivist cognition perspective. It
takes a Design-Based Research approach with an iterative design orientation
to examine young children’s interaction with multisensory body-based
metaphors through an embodied participation framework. A series of empirical
studies with young children, aged 2-7 years, comprising of experiential
workshops, build iteratively upon each other. A novel theoretically informed
method, Affective Imagination in Motion, is developed involving several
purpose-built multisensory body metaphors prompts to enable access to
dimensions of young children’s affective engagement.
This research makes theoretical and methodological contributions. It extends
the theoretical notion of ‘affect’ from enactive and grounded cognition
perspectives through identifying key interactive processes in young children’s
engagement with multisensory action metaphors. In addition, the novel
method offers a contribution as a way of ‘looking’ at affect within a group
situation from affective-pragmatic and social embodiment perspectives.
Finally, the research contributes to embodied learning design frameworks
offering a guideline for designers wishing to inform their work from enactive
cognition perspective
- …