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Individual differences in reading social intentions from motor deviants.

Lewkowicz D, Quesque F, Coello Y, Delevoye-Turrell YN - Front Psychol (2015)

Bottom Line: Video clips were sliced and normalized to control for either the reaction times (RTs) or/and the movement times (MTs) of the grasping action.Tested in a second group of participants, results showed that the detection of social intention relies on the variation of both RT and MT that are implicitly perceived in the grasping action.The ability to use implicitly these motor deviants for action-outcome understanding would be the key to intuitive social interaction.

View Article: PubMed Central - PubMed

Affiliation: SCALab, UMR CNRS 9193, Department of Psychology, Université de Lille , Villeneuve-d'Ascq, France.

ABSTRACT
As social animals, it is crucial to understand others' intention. But is it possible to detect social intention in two actions that have the exact same motor goal? In the present study, we presented participants with video clips of an individual reaching for and grasping an object to either use it (personal trial) or to give his partner the opportunity to use it (social trial). In Experiment 1, the ability of naïve participants to classify correctly social trials through simple observation of short video clips was tested. In addition, detection levels were analyzed as a function of individual scores in psychological questionnaires of motor imagery, visual imagery, and social cognition. Results revealed that the between-participant heterogeneity in the ability to distinguish social from personal actions was predicted by the social skill abilities. A second experiment was then conducted to assess what predictive mechanism could contribute to the detection of social intention. Video clips were sliced and normalized to control for either the reaction times (RTs) or/and the movement times (MTs) of the grasping action. Tested in a second group of participants, results showed that the detection of social intention relies on the variation of both RT and MT that are implicitly perceived in the grasping action. The ability to use implicitly these motor deviants for action-outcome understanding would be the key to intuitive social interaction.

No MeSH data available.


Related in: MedlinePlus

Mean percentage of correct categorization for the three experimental conditions with standard errors (bars). Note that when post-treatment of the videos were performed to normalize both reaction times (RT in ms) and the movement times of the first reach element of the sequence (MT1 in ms), participants were not able to categorize the social intention of the visual kinematics above chance level (illustrated here by the gray dotted horizontal line).
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Figure 4: Mean percentage of correct categorization for the three experimental conditions with standard errors (bars). Note that when post-treatment of the videos were performed to normalize both reaction times (RT in ms) and the movement times of the first reach element of the sequence (MT1 in ms), participants were not able to categorize the social intention of the visual kinematics above chance level (illustrated here by the gray dotted horizontal line).

Mentions: A repeated measures ANOVA revealed an effect of video type [F(1,22) = 3.02, p = 0.05] on the percentage of correct categorization. Post hoc contrast analysis revealed a significant higher rate of correct judgments in the natural condition (M = 57.5%, SD = 10) compared to the RT + MT1 deviant condition (M = 51.9%, SD = 10; t = 2.32, p < 0.05). Furthermore, the performances in the MT1 deviant condition were located in the middle range (M = 54.3%, SD = 08) not differing statistically from the two other conditions (t = –0.22, p = 0.83), suggesting a progressive decrease across the three experimental conditions. Two-sided t-tests comparing performances against chance level (50%) in the categorization task revealed that participants were significantly above chance in two of the three conditions (see Figure 4). More specifically, participants were able to categorize the underlying intention above chance level when videos were presented in the RT + MT1 deviant condition [t(22) = 3.6, p < 0.01] and in the MT1 deviant condition [t(22) = 2.4, p < 0.05]. However, they were not able to respond above chance level when videos were presented in the No deviant condition [t(22) = 0.9, p = 0.37].


Individual differences in reading social intentions from motor deviants.

Lewkowicz D, Quesque F, Coello Y, Delevoye-Turrell YN - Front Psychol (2015)

Mean percentage of correct categorization for the three experimental conditions with standard errors (bars). Note that when post-treatment of the videos were performed to normalize both reaction times (RT in ms) and the movement times of the first reach element of the sequence (MT1 in ms), participants were not able to categorize the social intention of the visual kinematics above chance level (illustrated here by the gray dotted horizontal line).
© Copyright Policy
Related In: Results  -  Collection

License
Show All Figures
getmorefigures.php?uid=PMC4538241&req=5

Figure 4: Mean percentage of correct categorization for the three experimental conditions with standard errors (bars). Note that when post-treatment of the videos were performed to normalize both reaction times (RT in ms) and the movement times of the first reach element of the sequence (MT1 in ms), participants were not able to categorize the social intention of the visual kinematics above chance level (illustrated here by the gray dotted horizontal line).
Mentions: A repeated measures ANOVA revealed an effect of video type [F(1,22) = 3.02, p = 0.05] on the percentage of correct categorization. Post hoc contrast analysis revealed a significant higher rate of correct judgments in the natural condition (M = 57.5%, SD = 10) compared to the RT + MT1 deviant condition (M = 51.9%, SD = 10; t = 2.32, p < 0.05). Furthermore, the performances in the MT1 deviant condition were located in the middle range (M = 54.3%, SD = 08) not differing statistically from the two other conditions (t = –0.22, p = 0.83), suggesting a progressive decrease across the three experimental conditions. Two-sided t-tests comparing performances against chance level (50%) in the categorization task revealed that participants were significantly above chance in two of the three conditions (see Figure 4). More specifically, participants were able to categorize the underlying intention above chance level when videos were presented in the RT + MT1 deviant condition [t(22) = 3.6, p < 0.01] and in the MT1 deviant condition [t(22) = 2.4, p < 0.05]. However, they were not able to respond above chance level when videos were presented in the No deviant condition [t(22) = 0.9, p = 0.37].

Bottom Line: Video clips were sliced and normalized to control for either the reaction times (RTs) or/and the movement times (MTs) of the grasping action.Tested in a second group of participants, results showed that the detection of social intention relies on the variation of both RT and MT that are implicitly perceived in the grasping action.The ability to use implicitly these motor deviants for action-outcome understanding would be the key to intuitive social interaction.

View Article: PubMed Central - PubMed

Affiliation: SCALab, UMR CNRS 9193, Department of Psychology, Université de Lille , Villeneuve-d'Ascq, France.

ABSTRACT
As social animals, it is crucial to understand others' intention. But is it possible to detect social intention in two actions that have the exact same motor goal? In the present study, we presented participants with video clips of an individual reaching for and grasping an object to either use it (personal trial) or to give his partner the opportunity to use it (social trial). In Experiment 1, the ability of naïve participants to classify correctly social trials through simple observation of short video clips was tested. In addition, detection levels were analyzed as a function of individual scores in psychological questionnaires of motor imagery, visual imagery, and social cognition. Results revealed that the between-participant heterogeneity in the ability to distinguish social from personal actions was predicted by the social skill abilities. A second experiment was then conducted to assess what predictive mechanism could contribute to the detection of social intention. Video clips were sliced and normalized to control for either the reaction times (RTs) or/and the movement times (MTs) of the grasping action. Tested in a second group of participants, results showed that the detection of social intention relies on the variation of both RT and MT that are implicitly perceived in the grasping action. The ability to use implicitly these motor deviants for action-outcome understanding would be the key to intuitive social interaction.

No MeSH data available.


Related in: MedlinePlus