2016
DOI: 10.3389/fncom.2016.00070
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Affective Interaction with a Virtual Character Through an fNIRS Brain-Computer Interface

Abstract: Affective brain-computer interfaces (BCI) harness Neuroscience knowledge to develop affective interaction from first principles. In this article, we explore affective engagement with a virtual agent through Neurofeedback (NF). We report an experiment where subjects engage with a virtual agent by expressing positive attitudes towards her under a NF paradigm. We use for affective input the asymmetric activity in the dorsolateral prefrontal cortex (DL-PFC), which has been previously found to be related to the hig… Show more

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Cited by 44 publications
(64 citation statements)
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“…However, in fMRI, it is very hard to implement the imitation actions, and fNIRS provides more flexibility to explore the neural mechanisms of interactive behavior. There are even attempts to use fNIRS as a biofeedback mechanism for creating social virtual characters who can interact with a participant …”
Section: Overview Of Novel Applications Of Fnirsmentioning
confidence: 99%
See 1 more Smart Citation
“…However, in fMRI, it is very hard to implement the imitation actions, and fNIRS provides more flexibility to explore the neural mechanisms of interactive behavior. There are even attempts to use fNIRS as a biofeedback mechanism for creating social virtual characters who can interact with a participant …”
Section: Overview Of Novel Applications Of Fnirsmentioning
confidence: 99%
“…There are even attempts to use fNIRS as a biofeedback mechanism for creating social virtual characters who can interact with a participant. 133 Building on the participant-friendly nature of fNIRS, a large number of studies use this method to explore the development of cognition and social cognition in infants, children, and individuals with developmental disorders. Such work tracks the development of body perception, 134 response to direct gaze, 135,136 responses to speech 137 and many other tasks.…”
Section: Overview Of Novel Applications Of Fnirsmentioning
confidence: 99%
“…A neurofeedback run procedure consists of at least two different kinds of periods, i.e., a regulation period during which participants receive neurofeedback and try to change brain activity, and a resting period during which no feedback is provided that can also serve as a baseline-control condition. Most studies instructed participants to rest during the control condition, except for one study that instructed participants to engage in mental counting in an attempt to control for potentially confounding mental processes (Aranyi et al, 2016). Some protocols also included additional reward periods (e.g., smiling faces or points) presented after each regulation trial (Hudak et al, 2017(Hudak et al, , 2018Kimmig et al, 2018;Liu et al, 2016), which is a form of additional delayed feedback.…”
Section: Neurofeedback Run Periods and Their Timingmentioning
confidence: 99%
“…Since comparative studies including fMRIand EEG-neurofeedback research are lacking, we mostly rely on theoretical considerations when designing neurofeedback tasks. Considering the time course of the hemodynamic response (Ogawa et al, 1992), which is delayed and peaks after 4-6 s, a reasonable duration of the regulation and baseline period is 20-30 s. Further research is needed to discover whether shorter or longer periods of up to 40 s (Aranyi et al, 2016) and above are beneficial. While a short duration of 5 s can be considered too short for a hemodynamic response to develop properly, these studies continue to show the feedback signal during a subsequent rest period (Fujimoto et al, 2017;Mihara et al, 2012Mihara et al, , 2013.…”
Section: Neurofeedback Run Periods and Their Timingmentioning
confidence: 99%
“…This session has introduced how artificial agents, and in particular humanoid robots, have been used to investigate mechanisms involved in human social cognition, in particular addressing the issue of whether humans adopt an intentional stance when interacting with artificial agents [1]. Also advanced brain-computer interfacing that can be used for online control of artificial agents pave the way in that direction [2].…”
Section: A Global Objective Four Disciplinesmentioning
confidence: 99%