370 research outputs found
What does not happen: quantifying embodied engagement using NIMI and self-adaptors
Previous research into the quantification of embodied intellectual and emotional engagement using non-verbal movement parameters has not yielded consistent results across different studies. Our research introduces NIMI (Non-Instrumental Movement Inhibition) as an alternative parameter. We propose that the absence of certain types of possible movements can be a more holistic proxy for cognitive engagement with media (in seated persons) than searching for the presence of other movements. Rather than analyzing total movement as an indicator of engagement, our research team distinguishes between instrumental movements (i.e. physical movement serving a direct purpose in the given situation) and non-instrumental movements, and investigates them in the context of the narrative rhythm of the stimulus. We demonstrate that NIMI occurs by showing viewers’ movement levels entrained (i.e. synchronised) to the repeating narrative rhythm of a timed computer-presented quiz. Finally, we discuss the role of objective metrics of engagement in future context-aware analysis of human behaviour in audience research, interactive media and responsive system and interface design
Social signal processing for studying parent–infant interaction
International audienceStudying early interactions is a core issue of infant development and psychopathology. Automatic social signal processing theoretically offers the possibility to extract and analyze communication by taking an integrative perspective, considering the multimodal nature and dynamics of behaviors (including synchrony).This paper proposes an explorative method to acquire and extract relevant social signals from a naturalistic early parent–infant interaction. An experimental setup is proposed based on both clinical and technical requirements. We extracted various cues from body postures and speech productions of partners using the IMI2S (Interaction, Multimodal Integration, and Social Signal) Framework. Preliminary clinical and computational results are reported for two dyads (one pathological in a situation of severe emotional neglect and one normal control) as an illustration of our cross-disciplinary protocol. The results from both clinical and computational analyzes highlight similar differences: the pathological dyad shows dyssynchronic interaction led by the infant whereas the control dyad shows synchronic interaction and a smooth interactive dialog.The results suggest that the current method might be promising for future studies
Bridging the gap between emotion and joint action
Our daily human life is filled with a myriad of joint action moments, be it children playing, adults working together (i.e., team sports), or strangers navigating through a crowd. Joint action brings individuals (and embodiment of their emotions) together, in space and in time. Yet little is known about how individual emotions propagate through embodied presence in a group, and how joint action changes individual emotion. In fact, the multi-agent component is largely missing from neuroscience-based approaches to emotion, and reversely joint action research has not found a way yet to include emotion as one of the key parameters to model socio-motor interaction. In this review, we first identify the gap and then stockpile evidence showing strong entanglement between emotion and acting together from various branches of sciences. We propose an integrative approach to bridge the gap, highlight five research avenues to do so in behavioral neuroscience and digital sciences, and address some of the key challenges in the area faced by modern societies
NON-VERBAL COMMUNICATION WITH PHYSIOLOGICAL SENSORS. THE AESTHETIC DOMAIN OF WEARABLES AND NEURAL NETWORKS
Historically, communication implies the transfer of information between bodies, yet this
phenomenon is constantly adapting to new technological and cultural standards. In a
digital context, it’s commonplace to envision systems that revolve around verbal modalities.
However, behavioural analysis grounded in psychology research calls attention to
the emotional information disclosed by non-verbal social cues, in particular, actions that
are involuntary. This notion has circulated heavily into various interdisciplinary computing
research fields, from which multiple studies have arisen, correlating non-verbal
activity to socio-affective inferences. These are often derived from some form of motion
capture and other wearable sensors, measuring the ‘invisible’ bioelectrical changes that
occur from inside the body.
This thesis proposes a motivation and methodology for using physiological sensory
data as an expressive resource for technology-mediated interactions. Initialised from a
thorough discussion on state-of-the-art technologies and established design principles
regarding this topic, then applied to a novel approach alongside a selection of practice
works to compliment this. We advocate for aesthetic experience, experimenting with
abstract representations. Atypically from prevailing Affective Computing systems, the
intention is not to infer or classify emotion but rather to create new opportunities for rich
gestural exchange, unconfined to the verbal domain.
Given the preliminary proposition of non-representation, we justify a correspondence
with modern Machine Learning and multimedia interaction strategies, applying an iterative,
human-centred approach to improve personalisation without the compromising
emotional potential of bodily gesture. Where related studies in the past have successfully
provoked strong design concepts through innovative fabrications, these are typically limited
to simple linear, one-to-one mappings and often neglect multi-user environments;
we foresee a vast potential. In our use cases, we adopt neural network architectures to
generate highly granular biofeedback from low-dimensional input data.
We present the following proof-of-concepts: Breathing Correspondence, a wearable
biofeedback system inspired by Somaesthetic design principles; Latent Steps, a real-time auto-encoder to represent bodily experiences from sensor data, designed for dance performance;
and Anti-Social Distancing Ensemble, an installation for public space interventions,
analysing physical distance to generate a collective soundscape. Key findings are
extracted from the individual reports to formulate an extensive technical and theoretical
framework around this topic. The projects first aim to embrace some alternative perspectives
already established within Affective Computing research. From here, these concepts
evolve deeper, bridging theories from contemporary creative and technical practices with
the advancement of biomedical technologies.Historicamente, os processos de comunicação implicam a transferência de informação
entre organismos, mas este fenómeno está constantemente a adaptar-se a novos padrões
tecnológicos e culturais. Num contexto digital, é comum encontrar sistemas que giram
em torno de modalidades verbais. Contudo, a análise comportamental fundamentada
na investigação psicológica chama a atenção para a informação emocional revelada por
sinais sociais não verbais, em particular, acções que são involuntárias. Esta noção circulou
fortemente em vários campos interdisciplinares de investigação na área das ciências da
computação, dos quais surgiram múltiplos estudos, correlacionando a actividade nãoverbal
com inferências sócio-afectivas. Estes são frequentemente derivados de alguma
forma de captura de movimento e sensores “wearable”, medindo as alterações bioeléctricas
“invisíveis” que ocorrem no interior do corpo.
Nesta tese, propomos uma motivação e metodologia para a utilização de dados sensoriais
fisiológicos como um recurso expressivo para interacções mediadas pela tecnologia.
Iniciada a partir de uma discussão aprofundada sobre tecnologias de ponta e princípios
de concepção estabelecidos relativamente a este tópico, depois aplicada a uma nova abordagem,
juntamente com uma selecção de trabalhos práticos, para complementar esta.
Defendemos a experiência estética, experimentando com representações abstractas. Contrariamente
aos sistemas de Computação Afectiva predominantes, a intenção não é inferir
ou classificar a emoção, mas sim criar novas oportunidades para uma rica troca gestual,
não confinada ao domínio verbal.
Dada a proposta preliminar de não representação, justificamos uma correspondência
com estratégias modernas de Machine Learning e interacção multimédia, aplicando uma
abordagem iterativa e centrada no ser humano para melhorar a personalização sem o
potencial emocional comprometedor do gesto corporal. Nos casos em que estudos anteriores
demonstraram com sucesso conceitos de design fortes através de fabricações
inovadoras, estes limitam-se tipicamente a simples mapeamentos lineares, um-para-um,
e muitas vezes negligenciam ambientes multi-utilizadores; com este trabalho, prevemos
um potencial alargado. Nos nossos casos de utilização, adoptamos arquitecturas de redes
neurais para gerar biofeedback altamente granular a partir de dados de entrada de baixa dimensão.
Apresentamos as seguintes provas de conceitos: Breathing Correspondence, um sistema
de biofeedback wearable inspirado nos princípios de design somaestético; Latent
Steps, um modelo autoencoder em tempo real para representar experiências corporais
a partir de dados de sensores, concebido para desempenho de dança; e Anti-Social Distancing
Ensemble, uma instalação para intervenções no espaço público, analisando a
distância física para gerar uma paisagem sonora colectiva. Os principais resultados são
extraídos dos relatórios individuais, para formular um quadro técnico e teórico alargado
para expandir sobre este tópico. Os projectos têm como primeiro objectivo abraçar algumas
perspectivas alternativas às que já estão estabelecidas no âmbito da investigação
da Computação Afectiva. A partir daqui, estes conceitos evoluem mais profundamente,
fazendo a ponte entre as teorias das práticas criativas e técnicas contemporâneas com o
avanço das tecnologias biomédicas
Mirroring to Build Trust in Digital Assistants
We describe experiments towards building a conversational digital assistant
that considers the preferred conversational style of the user. In particular,
these experiments are designed to measure whether users prefer and trust an
assistant whose conversational style matches their own. To this end we
conducted a user study where subjects interacted with a digital assistant that
responded in a way that either matched their conversational style, or did not.
Using self-reported personality attributes and subjects' feedback on the
interactions, we built models that can reliably predict a user's preferred
conversational style.Comment: Preprin
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
Embodied Cognitive Science of Music. Modeling Experience and Behavior in Musical Contexts
Recently, the role of corporeal interaction has gained wide recognition within cognitive musicology. This thesis reviews evidence from different directions in music research supporting the importance of body-based processes for the understanding of music-related experience and behaviour. Stressing the synthetic focus of cognitive science, cognitive science of music is discussed as a modeling approach that takes these processes into account and may theoretically be embedded within the theory of dynamic systems. In particular, arguments are presented for the use of robotic devices as tools for the investigation of processes underlying human music-related capabilities (musical robotics)
Embodied creativity: a process continuum from artistic creation to creative participation
This thesis breaks new ground by attending to two contemporary developments in art and science. In art, computer-mediated interactive artworks comprise creative engagement between collaborating practitioners and a creatively participating audience, erasing all notions of a dividing line between them. The procedural character of this type of communicative real-time interaction replaces the concept of a finished artwork with a ‘field of artistic communication’. In science, the field of creativity research investigates creative thought as mental operations that combine and reorganise extant knowledge structures. A recent paradigm shift in cognition research acknowledges that cognition is embodied. Neither embodiment in cognition nor the ‘field of artistic communication’ in interactive art have been assimilated by creativity research.
This thesis takes an interdisciplinary approach to examine the embodied cognitive processes in a ‘field of artistic communication’ using a media artwork called Sim-Suite as a case study research strategy. This interactive installation, created and exhibited in an authentic real-world context, engages three people to play on wobble-boards. The thesis argues that creative processes related to Sim-Suite operate within a continuum, encompassing collaborative artistic creation and cooperative creative participation. This continuum is investigated via mixed methods, conducting studies with qualitative and quantitative analysis. These are interpreted through a theoretical lens of embodied cognition principles, the 4E approaches.
The results obtained demonstrate that embodied cognitive processes in Sim-Suite’s ‘field of artistic communication’ function on a continuum. We give an account of the creative process continuum relating our findings to the ‘embedded-extended-enactive lens’, empirical studies in embodied cognition and creativity research. Within this context a number of topics and sub-themes are identified. We discuss embodied communication, aspects of agency, forms of coordination, levels of evaluative processes and empathetic foundation. The thesis makes conceptual, empirical and methodological contributions to creativity research
Shared User Interfaces of Physiological Data: Systematic Review of Social Biofeedback Systems and Contexts in HCI
As an emerging interaction paradigm, physiological computing is increasingly
being used to both measure and feed back information about our internal
psychophysiological states. While most applications of physiological computing
are designed for individual use, recent research has explored how biofeedback
can be socially shared between multiple users to augment human-human
communication. Reflecting on the empirical progress in this area of study, this
paper presents a systematic review of 64 studies to characterize the
interaction contexts and effects of social biofeedback systems. Our findings
highlight the importance of physio-temporal and social contextual factors
surrounding physiological data sharing as well as how it can promote
social-emotional competences on three different levels: intrapersonal,
interpersonal, and task-focused. We also present the Social Biofeedback
Interactions framework to articulate the current physiological-social
interaction space. We use this to frame our discussion of the implications and
ethical considerations for future research and design of social biofeedback
interfaces.Comment: [Accepted version, 32 pages] Clara Moge, Katherine Wang, and Youngjun
Cho. 2022. Shared User Interfaces of Physiological Data: Systematic Review of
Social Biofeedback Systems and Contexts in HCI. In CHI Conference on Human
Factors in Computing Systems (CHI'22), ACM,
https://doi.org/10.1145/3491102.351749
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