=Paper= {{Paper |id=Vol-1419/paper0091 |storemode=property |title=The Capacity for Implicit Social Learning in Relation to Autistic Traits. |pdfUrl=https://ceur-ws.org/Vol-1419/paper0091.pdf |volume=Vol-1419 |dblpUrl=https://dblp.org/rec/conf/eapcogsci/MacinskaKJ15 }} ==The Capacity for Implicit Social Learning in Relation to Autistic Traits.== https://ceur-ws.org/Vol-1419/paper0091.pdf
         The Capacity For Implicit Social Learning In Relation To Autistic Traits
                                     Sylwia Macinska (S.T.Macinska@2014.hull.ac.uk)
                                            Department of Psychology, University of Hull
                                                   HU6 7RX, United Kingdom

                                            Manon Krol (M.Krol@2013.hull.ac.uk)
                                            Department of Psychology, University of Hull
                                                   HU6 7RX, United Kingdom

                                          Dr Tjeerd Jellema (T.Jellema@hull.ac.uk)
                                            Department of Psychology, University of Hull
                                                   HU6 7RX, United Kingdom


                            Abstract                                       such as subtle facial expressions and bodily gestures. People
                                                                           learn social cue-outcome relationships and use this
  People learn social cue-outcome relationships and use this
  knowledge to guide their behavior, even in the absence of                knowledge to guide their behavior, even in the absence of
  explicit knowledge of social contingencies. The aim of the               explicit knowledge of social contingencies (Lewicki, Hill,
  current study was to investigate variations in implicit social           Czyzewska, 1992). Social cues may implicitly acquire value
  learning abilities between typically developed individuals               on a short timescale, sometimes within the space of a single
  with low and high number of autistic traits, as assessed by the          interaction (Heerey & Velani, 2010).
  AQ questionnaire. In the learning phase, participants                       Given the importance of social intuition, an impaired
  repeatedly observed two different identities whose gaze                  ability to implicitly encode and decode social cues might
  direction and facial expression were manipulated to convey               result in difficulty adjusting behavior to the demands of
  either a pro- or anti-social disposition toward the observer.
                                                                           social situations. Indeed, such an impairment has been
  These dispositions were determined by specific contingencies
  between these cues. Crucially, the participants were not aware           proposed to be a crucial factor underlying the social
  of these contingencies (as confirmed in the debrief session).            deficiencies in autism spectrum disorders (ASD; Frith &
  In the test phase, the participants showed specific biases in            Frith, 1999). ASD is characterized by deficits in social
  their perceptual report of morphs of the two identities, which           interaction and social communication, including nonverbal
  reflected that they had implicitly learned the identities’               communicative behaviors. As a result, individuals with
  dispositions. The results indicated that in the current paradigm         ASD are likely to misinterpret social cues and engage in
  others’ dispositions can be learned implicitly (i.e. without             socially inappropriate behavior. It has been argued that the
  awareness of the cue contingencies), and that this ability is            social impairments in ASD are linked to an impaired theory
  correlated with AQ scores; participants with higher AQ scores
                                                                           of mind; the ability to understand others as intentional
  showed less implicit social learning than those with lower AQ
  scores.                                                                  agents, that is, to interpret their minds in terms of intentional
                                                                           states such as desires and beliefs (Baron-Cohen, 2000).
  Keywords: Implicit learning; Autism spectrum disorder;                   There are indications that social deficits seen in individuals
  Intuition; Social cognition; Emotional facial expression.                with ASD are especially related to failure in automation of
                                                                           social cue processing rather than in the ability to understand
                        Introduction                                       intentions per se (Jellema et al., 2009; Senju, Southgate,
People exchange large numbers of nonverbal cues, which                     White & Frith, 2009). This may be compensated for through
are typically interpreted in a seemingly effortless manner.                deliberate reasoning about others’ intentions. However, the
The ability to encode and decode social information is                     interpretation of social cues using effortful cognitive
crucial to successfully navigate the social world. This social             processes would be much slower and possibly less accurate
competence seems to be employed automatically and                          than in involuntary processing.
involuntarily; people have a tendency to attribute                            Nevertheless, a recent meta-analysis looking at implicit
dispositional causes to non-verbal behavior in order to                    learning in individuals with ASD did not find any anomalies
obtain a quick impression of other’s thoughts and feelings,                on a number of implicit learning tasks (Foti et al., 2014).
rather than using effortful cognitive processes and deliberate             However, the reported studies examined implicit learning in
reasoning.                                                                 non-social domains, with tasks such as artificial grammar
  Implicit (social) learning is widely assumed to play a                   learning, serial reaction task or contextual cueing. There is
central role in social cognition and is regarded as a cognitive            an emerging body of research suggesting that implicit
substrate of social intuition (Lieberman, 2000). According                 learning is not a global impairment, but rather may be found
to Lieberman, social intuition involves making rapid                       either intact or impaired depending on the type of the
judgments about the emotions, intentions or attitudes of                   information to be learned (Travers et al., 2013).
others on the basis of learned sequences of nonverbal cues,



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   The autism spectrum condition could be considered as a                Sharpsburg, PA), at a distance of approximately 50cm from
scale of social aptitude with autistic traits found throughout           the participant.
the population to differing degrees, with clinical levels of
autism at the high end of this continuum (Constantino &                  Procedure
Todd, 2003). The Autistic-spectrum Quotient (AQ)
questionnaire is one of the measures that has been
                                                                         Learning Phase The learning phase used in the current
developed to gauge autistic traits in the population at large
                                                                         study was broadly consistent with the learning phase of the
(Baron-Cohen et al., 2001). It is a self-report questionnaire
                                                                         experiment conducted by Hudson et al. (2012). Participants
with a maximum score of 50, where a score of 32 or higher
                                                                         viewed 64 clips of two different identities, 32 for each
may meet the diagnostic criteria for ASD (Baron-Cohen et
                                                                         identity. Each clip consisted of 20 frames, the first and last
al., 2001). Although not currently used as a diagnostic tool,
                                                                         frame were displayed for 750 ms and the other 18 frames for
the questionnaire has been found to be a sustainable
                                                                         30 ms each. Two facial features were manipulated: gaze
indicator of ASD with 83% of accuracy (Woodbury-Smith,
                                                                         direction and facial expression. Each clip started with the
Robinson, Wheelwright, & Baron-Cohen, 2005). As
                                                                         gaze either directed towards the participant (direct gaze
typically developed individuals with relatively high levels
                                                                         direction) and then gradually averted horizontally until at a
of autistic traits are likely to share some social and cognitive
                                                                         30º angle away from the observer at the end of the clip
deficits with individuals with ASD, it should be possible to
                                                                         (indirect gaze direction), or began with a 30º aversion and
test typically developed individuals with varying AQ scores
                                                                         ended with direct gaze direction (the clip played
to enhance our understanding of ASD (Hudson, Nijboer, &
                                                                         backwards). To manipulate facial expressions, the clip
Jellema, 2012).
                                                                         began either with an identity displaying a happy expression,
                                                                         which gradually morphed into an angry expression, or began
Current Study                                                            with an angry expression which morphed into a happy
The aim of the current study was to investigate whether                  expression (clip played backwards).
implicit social learning would take place in a simple                       Crucially, each identity portrayed a different combination
computer-based task, and whether there are variations in                 of gaze direction and emotional expression, such that each
implicit social learning abilities in typically developed                could be said to have a different disposition toward the
individuals that vary in autistic traits (AQ). It was                    observer (Figure 1). For identity A, gaze averting away from
hypothesized that higher AQ scores would be correlated                   the observer was accompanied by a change from a happy to
with poorer implicit social learning. In the current study,              an angry expression, while gaze movement towards the
two types of nonverbal social cues were manipulated to                   observer was accompanied by a change from angry to happy
affect social judgments: emotional expression and gaze                   (played backward). This identity can therefore be inferred to
direction. Participants were hypothesized to implicitly learn            hold a pro-social disposition toward the observer; smiling
the agent’s disposition toward them on the basis of specific             when looking at the person and frowning when looking
combinations of these two cues. The experiment consisted                 away. For identity B, the reverse cue combinations were
of an initial learning phase, followed by a test phase, in               used and this identity can therefore be inferred to hold an
which the extent of learning was measured.                               antisocial disposition toward the observer.
                                                                            Each identity displayed happy and angry expressions for
                          Methods                                        exactly the same amount of time and looked at and away
                                                                         from the observer for exactly the same amount of time. This
                                                                         was to ensure that a social disposition could only be learnt
Participants                                                             on the basis of the specific combination of two cues; each
Fifty-one undergraduate students (20 women) from the                     cue on itself could not cause any social learning effects. The
University of Hull participated in the experiment in                     social disposition of the character used in the study was
exchange for course credit. All participants provided written            counterbalanced across participants; for half of the
informed consent prior to the experiment. After exclusion of             participants James was holding a pro-social disposition
one participant (see below) the mean age of participants was             while Simon was holding an anti-social disposition
21.3 (SD=2.77).                                                          (Experiment 1), while for the other half Simon was the pro-
                                                                         social and James the anti-social identity (Experiment 2).
Stimuli
Stimuli were created using Poser 7 animation software
(Curious Labs, Inc., Santa Cruz, CA, & e frontier, Inc.,
Scotts Valley, CA). Two male identities were used named
James and Simon. The characters were oriented facing the
observer throughout the presentation and were depicted
from the top of the shoulders upwards. The stimuli were
presented on a 21 inch monitor (100 Hz refresh rate) using
e-Prime software (Psychology Software Tools, Inc.,


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                                                                         Figure 2: Two test trials are shown (top row and bottom
                                                                        row). The central panels show morphs consisting of 50%
 Figure 1: Pro-social and anti-social dispositions of the two            Simon and 50% James (M3), for angry (top) and happy
   identities in the learning phase of Experiment 2 (upper              (bottom) facial expressions. The morphs were flanked by
            panels: Simon, bottom panels: James).                      James and Simon displaying neutral expressions, labeled as
                                                                                                  1 and 2.

Debriefing Phase Directly following the learning phase,
participants were required to give verbal responses to a               AQ Questionnaire At the end of the experiment,
series of questions checking whether they had picked up the            participants completed an online version of the AQ (Baron-
cue-identity contingencies. The questions were: (1) Could              Cohen et al., 2001).
you describe what you just have seen? (2) How many
different identities did you see? (3) What can you tell me
about their facial expressions? (4) What can you tell me
                                                                                                 Results
about their gaze direction? (5) Did you detect certain                 The debriefing phase indicated that one participant had
patterns between facial expressions, gaze directions and               discovered the cue-identity contingency and his data was
identities? Answers were manually recorded.                            removed from the analysis.
                                                                          The dependent variable consisted of mean scores on the
Testing Phase In the testing phase, a morph of the two                 five levels of morphs used in the test phase. A score of 1
identities was presented in the centre of the screen, with the         indicated that participants believed the morph resembled the
faces of James and Simon displaying neutral expressions on             pro-social identity more than the anti-social identity, while a
either side of the morphed identity (Figure 2). The morphed            score of 2 indicated that participants believed the morph
identity was either smiling or frowning, and was composed              resembled the anti-social identity more than the pro-social
of different proportions of either, the smiling James and the          one.
smiling Simon or the frowning James and the frowning                      Two separate experiments were conducted on two
Simon. Five morph levels (proportions) were used: M1 =                 participant groups, none of the participants participated in
60% pro-social and 40% anti-social, M2 = 55% pro-social                both experiments. In Experiment 1, James had the pro-social
and 45% anti-social, M3 = 50% pro-social and 50% anti-                 disposition and Simon the anti-social disposition; in
social, M4 = 45% pro-social and 55% anti-social, M5 =                  Experiment 2 the dispositions were reversed. The data from
40% pro-social and 60% anti-social. There were in total 20             both experiments was analyzed using a 2x5x2 repeated
test trials (5 morph levels x 2 emotions x 2 repetitions).             measures ANOVA with Morph Facial Expression (happy,
Participants were required to select whether the morphed               angry) and Morph Level (M1, M2, M3, M4, M5) as within-
identity resembled more closely the pro-social identity (key           subject factors and Experiment (Exp1, Exp2) as between-
1) or the anti-social identity (key 2) The rationale was that          subjects factor.
when participants would have implicitly learned that                      The main effect of the factor Morph Facial Expression
identity A had a pro-social disposition and identity B an              was significant (F1,48 = 6.7, p = .013, ηp2 = .12), with higher
anti-social disposition toward them, then they would be                scores for the angry morph than for the happy morph. This
more likely to judge the smiling morph as more similar to              indicated that implicit learning had taken place. The Morph
identity A, and the frowning morph as more similar to                  Facial Expression x Experiment interaction was non-
identity B, because intuitively identity A would be                    significant (F1,48 = .30, p = .59, ηp2 = .006). The main effect
associated with a ‘positive’ and identity B with ‘negative’            of Morph Level was significant (F4,192 = 33.4, p < .001, ηp2
attitude.                                                              = .41), indicating that participants were sensitive to the
                                                                       different morph proportions. The main effect of Experiment
                                                                       was non-significant (F1,48 = 3.28, p = .076, ηp2 = .064). The
                                                                       remaining 2-way interactions, and the 3-way interaction,
                                                                       were all non-significant (all p’s > .16) (Figure 3, top panel).



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    The mean AQ score was 15.5 (SD = 5.6), ranging from 5                                     Discussion
to 32. A correlation analysis for the mean difference score
                                                                      The main finding was that in the current paradigm typically
[mean score for Happy Morph across the 5 morph
                                                                      developed individuals were capable of implicit social
proportions minus mean score for Angry Morph across the 5
                                                                      learning. It suggests that the pro- or anti-social dispositions
morph proportions] and the individual AQ scores revealed a
                                                                      of another individual can be implicitly understood on the
significant negative correlation (r = -.287, p = .043),
                                                                      basis of specific social cue combinations conveyed in a
reflecting that an increase in the level of autistic traits
                                                                      social encounter, without one being aware of the
corresponded with a decrease in the extent of implicit social
                                                                      contingencies. The implicitly learned dispositions may serve
learning.
                                                                      as useful predictors of an individual’s future behaviour,
                                                                      affecting one’s subsequent responses to that individual. A
                                                                      second important finding was that this effect is influenced
                                                                      by individual differences in autistic traits. Those with less
                                                                      autistic traits (low AQ score) implicitly learned the social
                                                                      dispositions better than those with more autistic traits (high
                                                                      AQ score). Presumably, those with lower AQ scores are
                                                                      better in ‘picking up’ the meaning of social contingencies.
                                                                         It is tempting to speculate about the implications of the
                                                                      current findings for individuals with ASD. In line with the
                                                                      theory of an autism spectrum continuum (Baron-Cohen et
                                                                      al. 2001), extrapolation of the results of the high AQ group
                                                                      to individuals with ASD would suggest more severe deficits
                                                                      in the implicit social learning ability in ASD, which might
                                                                      underpin core deficits in social understanding in ASD.
                                                                         According to a recent account, sensitivity to social signals
                                                                      such as direct eye gaze is essential for learning through
                                                                      social interaction (Sodian, Schuwerk & Kristen, 2015).
                                                                      Impaired processing of social cues in ASD could explain
                                                                      insufficient learning from others and the same may be
                                                                      expected of those with high AQ scores.
                                                                         However, it is not quite clear whether individuals with
                                                                      high AQ scores are less receptive to social cues per se, or
                                                                      whether they are equally receptive, but have a diminished
                                                                      ability to learn associations between emotions and specific
                                                                      individuals. Face identity processing has been found to be
                                                                      impaired in people with ASD for tasks that require face
                                                                      memory (Weigelt, Koldewyn & Kanwisher, 2012). This
                                                                      deficit is much stronger when a delay intervenes between
                                                                      two presentations of an identity. However, in the current
                                                                      study the morphs in the testing phase were presented
                                                                      simultaneously with the faces of both identities, which
                                                                      should have reduced memory demand for this particular
                                                                      task.
                                                                         It is important to note that the task employed in this study
                                                                      is a simple computer task, which is only a human-artefact
                                                                      representation of a social interaction. While the under-
                                                                      complexity of the experimental design allows controlling
                                                                      for extraneous/confounding variables, the results of the
  Figure 3: The mean scores for all participants in the two           current study need to be approached with caution when
    experiments are shown (top panel). For illustrative               generalising to naturalistic settings.
 purposes, based on their scores on the AQ questionnaire,                There is also a possibility that the variations in implicit
  half of participants were allocated to a low AQ group               learning between individuals low and high in autistic traits
 (middle panel, M=11.5, SD=2.04) and the other half to a              may be due to low-level visual learning, rather than to a
   high AQ group (bottom panel, M=19.79, SD=4.90).                    form of social learning. The face configuration of a happy
                                                                      morph involves eyes looking at the participant and a smiling
                                                                      mouth, which is a closer visual match to the happy pro-
                                                                      social face than the angry anti-social face, which has the
                                                                      eyes averted. Similarly, the angry morph is a closer visual



                                                                557
match to the angry anti-social face. If the learning occurred            Constantino, J. N., & Todd, R. D. (2003). Autistic traits in
on the basis of the closer matching of low-level features –               the general population: a twin study. Archives of General
eye and mouth configuration – it would indicate that                      Psychiatry, 60, 524–30.
individuals high in autistic traits show deficits in implicit
learning that are not exclusive to the social domain.                    Foti, F., Crescenzo, F. De, Vivanti, G., Menghini, D., &
Subsequent studies, involving non-social stimuli, will                     Vicari, S. (2014). Implicit learning in individuals with
investigate whether the lower propensity for implicit                      autism     spectrum    disorders :   a    meta-analysis.
learning in the high AQ group is specific to the social                    PsychologicalMedicine,15, 1-14.
domain and does not apply to non-social learning, or
whether it is a more generalised impairment.                             Frith, C. D. (1999). Interacting Minds--A Biological Basis.
  It is as yet unknown whether the deficits in implicit social             Science, 286, 1692–1695.
learning in the high AQ group are specific to implicit social
learning and does not apply to explicit social learning. The             Heerey, E. a., & Velani, H. (2010). Implicit learning of
lack of automatic processing of social cues may be                        social predictions. Journal of Experimental Social
compensated for through deliberate reasoning about others’                Psychology, 46, 577–581.
intentions. For example, Senju and colleagues (2009) found
a striking dissociation between implicit and explicit theory             Hudson, M., Nijboer, T. C. W., & Jellema, T. (2012).
of mind; while the performance of individuals with ASD on                 Implicit social learning in relation to autistic-like traits.
an implicit theory of mind task revealed intriguing                       Journal of Autism and Developmental Disorders, 42,
difference from that of controls, they showed intact explicit             2534–2545.
theory of mind. As a result, one may expect intact explicit
social learning in individuals with high AQ scores.                      Jellema, T., Lorteije, J., Van Rijn, S., Van T’Wout, M., De
However, the interpretation of social cues using effortful                 Haan, E., Van Engeland, H., & Kemner, C. (2009).
cognitive processes would be much slower and possibly less                 Involuntary interpretation of social cues is compromised
accurate than in involuntary processing, which may be the                  in autism spectrum disorders. Autism Research, 2, 192–
primary reason for difficulties in social interactions found in            204.
ASD. Future studies should contrast the ability for implicit
and explicit learning in relation to AQ scores.                          Lewicki, P., Hill, T., & Czyzewska, M. (1992).
  In summary, this study provided evidence that people are                 Nonconscious aquisition of information. American
capable of learning contingencies between social cues and                  Psychologist, 47, 796-801.
use this knowledge to guide their behavior, even in the
absence of explicit knowledge. Furthermore, this effect is               Lieberman, M. D. (2000). Intuition: a social cognitive
related to individual differences in autistic traits, with                 neuroscience approach. Psychological Bulletin, 126(1),
individuals low in autistic traits outperforming individuals               109–137.
high in autistic traits. If the present pattern of results would
be more profound in an ASD sample, then that might help to               Senju, A., Southgate, V., White, S., & Frith, U. (2009).
explain their inefficiency in using social cue-outcome                     Mindblind eyes: An absence of spontaneous Theory of
relationships to modulate their behavior.                                  Mind in Asperger syndrome. Science, 325, 883-885.

                   Acknowledgments                                       Sodian, B., Schuwerk, T., & Kristen, S. (2015). Implicit and
                                                                           Spontaneous Theory of Mind Reasoning in Autism
SM and MK were funded by Hull University studentships.
                                                                           Spectrum Disorders. In M.Fitzgerald (Ed.). Autism
                                                                           Spectrum Disorder - Recent Advances. InTech.
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