A frontotemporoparietal network common to initiating and responding to joint attention bids

Caruana, Nathan; Brock, Jon; Woolgar, Alexandra

doi:10.1016/j.neuroimage.2014.12.041

Cited by 68 publications

(94 citation statements)

References 47 publications

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“…We employed an interactive paradigm that we had previously used to investigate the neural correlates of RJA and IJA (Caruana, Brock & Woolgar, 2015). The stimuli comprised an anthropomorphic avatar face, generated using FaceGen (Singular Inversions, 2008), that subtended 6.5 degrees of visual angle.…”

Section: Methodsmentioning

confidence: 99%

“…In reality, a gaze-contingent algorithm controlled the avatar’s responsive behaviour (see Caruana, Brock & Woolgar, 2015) for a detailed description of this algorithm and a video demonstration of the task). The goal of the game was to catch a burglar that was hiding inside one of the six houses presented on the screen.…”

Section: Methodsmentioning

confidence: 99%

“…In a recent fMRI study, we developed a novel joint attention task to better capture this intention monitoring process (Caruana, Brock & Woolgar, 2015). Following Schilbach et al (2010), participants played a cooperative game with an avatar whom they believed to be controlled by a real person (referred to as “Alan”), but was actually controlled by a gaze-contingent algorithm.…”

Section: Introductionmentioning

confidence: 99%

“…Analysis of saccadic reactions times revealed that participants were significantly slower (by approximately 209 ms) to respond to the avatar’s eye gaze cue than they were to respond to the arrow (Caruana, Brock & Woolgar, 2015). This effect was surprising—previous studies have shown that gaze cues often engender rapid and reflexive attention shifts (see Frischen, Bayliss & Tipper, 2007), but that would predict faster rather than slower responses to gaze cues.…”

Section: Introductionmentioning

confidence: 99%

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Detecting communicative intent in a computerised test of joint attention

Caruana

McArthur

Woolgar

et al. 2017

PeerJ

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The successful navigation of social interactions depends on a range of cognitive faculties—including the ability to achieve joint attention with others to share information and experiences. We investigated the influence that intention monitoring processes have on gaze-following response times during joint attention. We employed a virtual reality task in which 16 healthy adults engaged in a collaborative game with a virtual partner to locate a target in a visual array. In the Search task, the virtual partner was programmed to engage in non-communicative gaze shifts in search of the target, establish eye contact, and then display a communicative gaze shift to guide the participant to the target. In the NoSearch task, the virtual partner simply established eye contact and then made a single communicative gaze shift towards the target (i.e., there were no non-communicative gaze shifts in search of the target). Thus, only the Search task required participants to monitor their partner’s communicative intent before responding to joint attention bids. We found that gaze following was significantly slower in the Search task than the NoSearch task. However, the same effect on response times was not observed when participants completed non-social control versions of the Search and NoSearch tasks, in which the avatar’s gaze was replaced by arrow cues. These data demonstrate that the intention monitoring processes involved in differentiating communicative and non-communicative gaze shifts during the Search task had a measurable influence on subsequent joint attention behaviour. The empirical and methodological implications of these findings for the fields of autism and social neuroscience will be discussed.

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Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Detecting communicative intent in a computerised test of joint attention

Caruana

McArthur

Woolgar

et al. 2017

PeerJ

Self Cite

View full text Add to dashboard Cite

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“…Seeing an avatar make dynamic gaze shifts towards the participant engages posterior STS [53]. Taking part in joint attention tasks with an avatar, where the avatar looks at the participant and then follows the participants gaze to a peripheral cue, also engages mPFC [54] and right TPJ [55]. Viewing a live confederate outside the scanner who engages in mutual gaze with a participant activates mPFC [56].…”

Section: Neurocognitive Responses To Direct Gazementioning

confidence: 99%

Gazing at me: the importance of social meaning in understanding direct-gaze cues

Hamilton¹

2016

Phil. Trans. R. Soc. B

123

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One contribution of 16 to a theme issue 'Understanding self and other: from origins to disorders'. Direct gaze is an engaging and important social cue, but the meaning of direct gaze depends heavily on the surrounding context. This paper reviews some recent studies of direct gaze, to understand more about what neural and cognitive systems are engaged by this social cue and why. The data show that gaze can act as an arousal cue and can modulate actions, and can activate brain regions linked to theory of mind and self-related processing. However, all these results are strongly modulated by the social meaning of a gaze cue and by whether participants believe that another person is really watching them. The implications of these contextual effects and audience effects for our theories of gaze are considered.

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Perceived communicative intent in gesture and language modulates the superior temporal sulcus

Redcay

Velnoskey

Rowe

2016

Human Brain Mapping

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Behavioral evidence and theory suggest gesture and language processing may be part of a shared cognitive system for communication. While much research demonstrates both gesture and language recruit regions along perisylvian cortex, relatively less work has tested functional segregation within these regions on an individual level. Additionally, while most work has focused on a shared semantic network, less has examined shared regions for processing communicative intent. To address these questions, functional and structural MRI data were collected from 24 adult participants while viewing videos of an experimenter producing communicative, Participant-Directed Gestures (PDG) (e.g., "Hello, come here"), noncommunicative Self-adaptor Gestures (SG) (e.g., smoothing hair), and three written text conditions: (1) Participant-Directed Sentences (PDS), matched in content to PDG, (2) Third-person Sentences (3PS), describing a character's actions from a third-person perspective, and (3) meaningless sentences, Jabberwocky (JW). Surface-based conjunction and individual functional region of interest analyses identified shared neural activation between gesture (PDGvsSG) and language processing using two different language contrasts. Conjunction analyses of gesture (PDGvsSG) and Third-person Sentences versus Jabberwocky revealed overlap within left anterior and posterior superior temporal sulcus (STS). Conjunction analyses of gesture and Participant-Directed Sentences to Third-person Sentences revealed regions sensitive to communicative intent, including the left middle and posterior STS and left inferior frontal gyrus. Further, parametric modulation using participants' ratings of stimuli revealed sensitivity of left posterior STS to individual perceptions of communicative intent in gesture. These data highlight an important role of the STS in processing participant-directed communicative intent through gesture and language. Hum Brain Mapp 37:3444-3461, 2016. © 2016 Wiley Periodicals, Inc.

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A frontotemporoparietal network common to initiating and responding to joint attention bids

Cited by 68 publications

References 47 publications

Detecting communicative intent in a computerised test of joint attention

Detecting communicative intent in a computerised test of joint attention

Gazing at me: the importance of social meaning in understanding direct-gaze cues

Perceived communicative intent in gesture and language modulates the superior temporal sulcus

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