Joint attention in joint action

Fiebich, Anika; Gallagher, Shaun

doi:10.1080/09515089.2012.690176

Cited by 47 publications

(32 citation statements)

References 19 publications

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“…In our investigation, we connect to enactive and phenomenological views on cooperation, attention and intentions (Fantasia, De Jaegher, & Fasulo, 2014;Fiebich & Gallagher, 2013;Pacherie, 2012). In cooperation, the subjects take into account the other's interests and 4 intentions, and act to complement the other's responses (Fantasia, et al, 2014).…”

Section: Theoretical Frameworkmentioning

confidence: 99%

“…Cooperation builds on intentions that are generated and transformed as interaction proceeds (Fantasia, et al, 2014;Fiebich & Gallagher, 2013;Pacherie, 2012). This requires joint attention, which moves from simple to more sophisticated forms as the infant develops (Fiebich & Gallagher, 2013); and engagement, in which the subjects connect to each other and allow the interaction to acquire its own momentum (Fantasia, et al, 2014).…”

Section: Theoretical Frameworkmentioning

confidence: 99%

“…This requires joint attention, which moves from simple to more sophisticated forms as the infant develops (Fiebich & Gallagher, 2013); and engagement, in which the subjects connect to each other and allow the interaction to acquire its own momentum (Fantasia, et al, 2014). Furthermore, cooperation is dynamic; interactions fluctuate between the participants' mutual coordination with each other and one participant's uni-lateral coordination to the other (Fantasia, et al, 2014).…”

Section: Theoretical Frameworkmentioning

confidence: 99%

See 2 more Smart Citations

Let’s play! An observational study of primary care physical therapy with preterm infants aged 3–14 months

Håkstad

Obstfelder

Øberg

2017

Infant Behavior and Development

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Introduction: Sensory-motor play is at the core of child development and an important element in physical therapist(PT)s' work to improve infants' motor skills. In this study, we investigate how PTs scaffold and use play in physical therapy intervention with preterm infants at corrected age (CA) 3-14 months. Material and Methods:We collected data by observing 20 physical therapy sessions. In the analysis, we connected to enactive theory on cooperation.Results: Successful use of sensory-motor play in physical therapy requires cooperation toward common goals. This is achieved via an enactive therapeutic sensory-motor play approach, in which the PTs plan and tailor the intervention to match the infant's interests; attune themselves to the infant's intentions; and incorporate therapeutic measures in sensory-motor play interactions with the child. Conclusions:Via cooperation and mutuality in therapeutic interactions, PTs can provide play situated learning opportunities that support the infants' development and understanding of the world.

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Section: Theoretical Frameworkmentioning

confidence: 99%

Section: Theoretical Frameworkmentioning

confidence: 99%

Section: Theoretical Frameworkmentioning

confidence: 99%

See 1 more Smart Citation

Let’s play! An observational study of primary care physical therapy with preterm infants aged 3–14 months

Håkstad

Obstfelder

Øberg

2017

Infant Behavior and Development

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“…As can be understood by the previous example, when considering joint attention, we are in fact talking about a joint action. Joint actions, as clarified by Fiebich and Gallagher [36], are coordinated behaviour patterns, specified depending on the shared intention of the agents, of which they are fully aware. This implies, not only a shared goal, but also a common goal in what Fiebich and Gallagher call a "weactivity" -an activity shared by both agents.…”

Section: A Basic Definitionsmentioning

confidence: 99%

Attentional Mechanisms for Socially Interactive Robots–A Survey

Ferreira

Dias

2014

IEEE Trans. Auton. Mental Dev.

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This review intends to provide an overview of the state of the art in the modelling and implementation of automatic attentional mechanisms for socially interactive robots. Humans assess and exhibit intentionality by resorting to multisensory processes that are deeply rooted within low-level automatic attention-related mechanisms of the brain. For robots to engage with humans properly, they should also be equipped with similar capabilities. Joint attention, the precursor of many fundamental types of social interactions, has been an important focus of research in the past decade and a half, therefore providing the perfect backdrop for assessing the current status of stateof-the-art automatic attentional-based solutions. Consequently, we propose to review the influence of these mechanisms in the context of social interaction in cutting-edge research work on joint attention. This will be achieved by summarising the contributions already made in these matters in robotic cognitive systems research, by identifying the main scientific issues to be addressed by these contributions and analysing how successful they have been in this respect, and by consequently drawing conclusions that may suggest a roadmap for future successful research efforts.Index Terms-automatic attentional mechanisms, multisensory active perception, socially interactive robots, joint attention, bottom-up influences, top-down influences, probabilistic, hierarchical/modular architecture This is the author's version of an article that has been published in this journal. Changes were made to this version by the publisher prior to publication.The final version of record is available at http://dx.

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“…Even though techniques are needed for responding to and guiding users' intention, there are not sufficient studies at the service level. We focus on making robot behaviors to respond to users' intention using the robot's gaze and pointing gesture since these behaviors can attract users' interests [1]. For this, the robot should be able to select behaviors to achieve a goal for responding to users' intention.…”

Section: Introductionmentioning

confidence: 99%

Guide system based users' intentions for a humanoid robot

Chae

Yun

Hwan

et al. 2016

2016 13th International Conference on Ubiquitous Robots and Ambient Intelligence (URAI)

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In the field of human-robot interaction, it is important to attract user's interests. In this regard, it is useful to use gaze and pointing gesture to read and lead to intentions. However, there are not sufficient to studies that generate behaviors according to recognized users' intentions. Furthermore, it is difficult to select suitable behavior considering changing user's state. In this paper, we propose a method that is to guide user's decision using robot's gaze and pointing gestures.

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Joint attention in joint action

Cited by 47 publications

References 19 publications

Let’s play! An observational study of primary care physical therapy with preterm infants aged 3–14 months

Let’s play! An observational study of primary care physical therapy with preterm infants aged 3–14 months

Attentional Mechanisms for Socially Interactive Robots–A Survey

Guide system based users' intentions for a humanoid robot

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