7 research outputs found
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Emotional Biosensing: Exploring Critical Alternatives
Emotional biosensing is rising in daily life: Data and categories claim to know how people feel and suggest what they should do about it, while CSCW explores new biosensing possibilities. Prevalent approaches to emotional biosensing are too limited, focusing on the individual, optimization, and normative categorization. Conceptual shifts can help explore alternatives: toward materiality, from representation toward performativity, inter-action to intra-action, shifting biopolitics, and shifting affect/desire. We contribute (1) synthesizing wide-ranging conceptual lenses, providing analysis connecting them to emotional biosensing design, (2) analyzing selected design exemplars to apply these lenses to design research, and (3) offering our own recommendations for designers and design researchers. In particular we suggest humility in knowledge claims with emotional biosensing, prioritizing care and affirmation over self- improvement, and exploring alternative desires. We call for critically questioning and generatively re- imagining the role of data in configuring sensing, feeling, âthe good life,â and everyday experience
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
countertransference and self-disclosure: a pilot study of interpersonal physiology
openL'obiettivo della tesi è illustrare il legame tra controtransfert, studiato ed osservato utilizzando la tecnica della self-disclosure, e la fisiologia interpersonale, in particolare la sincronizzazione fisiologica, in uno studio pilota con diadi cliniche
Empathic Effects of Auditory Heartbeats: A Neurophysiological Investigation
I hypothesized that hearing the heartbeat of another person would affect listenersâ empathic state, and designed an experiment to measure changes in behavior and cardiac neurophysiology. In my experiment, participants (N = 27) completed modified versions of the Reading the Mind in the Eyes Task (RMET) in different auditory heartbeat conditions (slow, fast, silence, audio-only). For each trial, participants completed two measures of empathic state: cognitive (âWhat is this person feeling?â) and affective (âHow well could you feel what they were feeling?â). From my results, I found that the presence of auditory heartbeats i) changed cognitive empathy and ii) increased affective empathy, and these responses depended on the heartbeat tempo. I also analyzed two markers of cardiac neurophysiology: i) Heart Rate (HR) and ii) the Heartbeat-Evoked Potential (HEP). I found that the auditory heartbeat decreased listenersâ HR, and there were additional effects due to tempo and affective empathy. Finally, a frontal component of the HEP was more negative in the time-range of 350-500ms, which I attribute to a decrease in cardiac attention (i.e. âinteroceptionâ) when listening empathically to the heartbeat of others.Ph.D