ClinicalTrials.gg
Status unknownNCT04845243Updated Apr 14, 2021

Effectiveness of a Short Computer-based Emotion Recognition Training in Different Patient Groups

An interventional study of Emotionen Verstehen und Ausdrücken (E.V.A.) in Autism Spectrum Disorder and Conduct Disorder, sponsored by Prof. Christina Stadler. Status unknown. Open to participants aged 10 Years to 18 Years. Per ClinicalTrials.gov, last updated 2021-04-14.

Sponsored by Prof. Christina Stadler · Not applicable, Interventional, and Treatment

The sponsor has not verified this record recently (last verified Apr 2021), so the status shown — last known as Not yet recruiting — may be out of date.
Phase
Not applicable
Study type
Interventional
Enrollment
80
Allocation
Not applicable
Ages
10 Years to 18 Years
Sex
All
01

Study summary

Emotion recognition and regulation are necessary skills for social interaction. Disrupted development of these processes severely interferes with socio-emotional development. These difficulties are commonly reported in patients with Autistic Spectrum Disorder (ASD) or Conduct Disorder (CD), with the subsequent social/interpersonal difficulties. The available evidence suggest that impaired emotion regulation processes might underlie the aggressive behaviours frequently observed in both disorders. However, no study has yet investigated the presence of disorder-specific characteristics on emotion processing between these two disorders. Different impaired emotion recognition difficulties may underlie the reported emotion dysregulation. A practical implication of this is that given that both disorders have shown difficulties during emotion recognition processes, a short, computer-based intervention to improve emotion recognition might benefit both cases, even though their aetiologies might differ.

Read the detailed description

For ASD patients, studies training facial emotion recognition have focused on increasing the active attention to the eye region, re-directing attention to facial features to facilitate facial emotion recognition. Evidence shows positive results using computer-based emotion recognition training programs with young children and adolescents with ASD. It has also been recently suggested that emotion recognition training may be a suitable intervention for patients with CD. This would be supported by some preliminary evidence in patients with severe behavioural problems, young offenders and patients with CD + CU Traits. The overall goal of this project is to investigate the compared impact of an emotion recognition training in patients with ASD or CD. This goal can be subdivided into three separate subgoals: a) identify whether the training program is effective; b) identify whether the training program has differentiated or comparable effects between both patients groups and c) investigate individual characteristics that may help identify those individuals who would benefit most from the intervention. This information is crucial to inform the design of more efficient treatments to differentially address the specific deficits associated to the disorders.

02

Conditions studied

  • Autism Spectrum Disorder
  • Conduct Disorder

Keywords

  • Autism Spectrum Disorder
  • Emotion recognition training
03

In context

Autism Spectrum Disorder

1,724 studies on the registry are indexed under Autism Spectrum Disorder; 500 are open to participants now.

This study's planned enrollment of 80 is above the median of 52 across 1,368 interventional studies indexed under Autism Spectrum Disorder.

Browse Autism Spectrum Disorder studies →

Lead sponsor

Prof. Christina Stadler is the lead sponsor of 3 studies on the registry; 1 is open to participants now.

Counted across the registry records on this site, refreshed daily.

04

Who can participate

Ages eligible
10 Years to 18 Years
Sexes eligible
All
Accepts healthy volunteers
No

Go through the criteria one by one — yes, no or not sure — and take the list to your doctor or the study team. Kept in this browser only.

Inclusion criteria

  • Diagnosis: ASD or CD
  • German speaking
  • IQ > 70
  • Age: 10-18

Exclusion criteria

Exclusion Criteria:

  • Comorbid Anxiety or Depressive disorder diagnosis
  • IQ \< 70
  • Insufficient German language skills
  • Severe developmental disorders
05

Study design

Phase
Not applicable
Primary purpose
Treatment
Allocation
Not applicable
Intervention model
Single group
Masking
None (open label)
Enrollment
80 participants (estimated)

Study arms

  • Other
    Emotion recognition training

    All participants have to complete the online emotion recognition training E.V.A. as well as the pre- and post training tasks: GERT and social decision making task.

    Behavioral: Emotionen Verstehen und Ausdrücken (E.V.A.)

Interventions

  • BehavioralEmotionen Verstehen und Ausdrücken (E.V.A.)

    The online training is focused on the strengthening of socioemotional competences and consists of different training tasks (up to 3 million) presented to the participant as mini games. These training tasks are specifically designed according to empirical findings to match the socio-emotional recognition needs of people with ASD. During these games, an adapted Elo-Algorithm allows to automatically evaluate the participants' performance and adapts the difficulty levels throughout the users' progress in the training.

06

What researchers measure

Primary outcomes

  1. Change in performance accuracy in Geneva Emotion Recognition Test (GERT)

    Percentage of accuracy to stimuli showing facial emotions

    Time frame: Change in performance before and after the emotion recognition training, after 1 month (pre/post measure)

  2. Change in performance response times in Geneva Emotion Recognition Test (GERT)

    Response times to stimuli showing facial emotions

    Time frame: Change in performance before and after the emotion recognition training, after 1 month (pre/post measure)

  3. Change in performance reaction times in Social decision-making task

    Reaction times for each of the facial emotions shown

    Time frame: Change in Performance before and after the emotion recognition training, after 1 month (pre/post measure)

  4. Change in choices in Social decision-making task

    The proportion of choices that maximise their self-gain for each of the facial emotions shown

    Time frame: Change in choices before and after the emotion recognition training, after 1 month (pre/post measure)

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Study locations

No study locations are listed for this record.

08

References and documents

Publications

  • Ahmed SP, Bittencourt-Hewitt A, Sebastian CL. Neurocognitive bases of emotion regulation development in adolescence. Dev Cogn Neurosci. 2015 Oct;15:11-25. doi: 10.1016/j.dcn.2015.07.006. Epub 2015 Jul 29. PubMed 26340451 ↗
  • Blakemore SJ. The social brain in adolescence. Nat Rev Neurosci. 2008 Apr;9(4):267-77. doi: 10.1038/nrn2353. PubMed 18354399 ↗
  • Somerville LH, Casey BJ. Developmental neurobiology of cognitive control and motivational systems. Curr Opin Neurobiol. 2010 Apr;20(2):236-41. doi: 10.1016/j.conb.2010.01.006. Epub 2010 Feb 16. PubMed 20167473 ↗
  • Tanaka JW, Sung A. The "Eye Avoidance" Hypothesis of Autism Face Processing. J Autism Dev Disord. 2016 May;46(5):1538-52. doi: 10.1007/s10803-013-1976-7. PubMed 24150885 ↗
  • Wieckowski AT, White SW. Attention Modification to Attenuate Facial Emotion Recognition Deficits in Children with Autism: A Pilot Study. J Autism Dev Disord. 2020 Jan;50(1):30-41. doi: 10.1007/s10803-019-04223-6. PubMed 31520245 ↗
  • Ramdoss S, Machalicek W, Rispoli M, Mulloy A, Lang R, O'Reilly M. Computer-based interventions to improve social and emotional skills in individuals with autism spectrum disorders: a systematic review. Dev Neurorehabil. 2012;15(2):119-35. doi: 10.3109/17518423.2011.651655. PubMed 22494084 ↗
  • Kouo JL, Egel AL. The Effectiveness of Interventions in Teaching Emotion Recognition to Children with Autism Spectrum Disorder. Rev J Autism Dev Disord. 2016 Sep;3(3):254-65.
  • Silver M, Oakes P. Evaluation of a new computer intervention to teach people with autism or Asperger syndrome to recognize and predict emotions in others. Autism. 2001 Sep;5(3):299-316. doi: 10.1177/1362361301005003007. PubMed 11708589 ↗
  • Zoerner D, Schutze J, Kirst S, Dziobek I, Lucke U. Zirkus Empathico: Mobile Training of Socio-Emotional Competences for Children with Autism. In: 2016 IEEE 16th International Conference on Advanced Learning Technologies (ICALT) [Internet]. Austin, TX, USA: IEEE; 2016 [cited 2021 Feb 10]. p. 448-52. Available from: http://ieeexplore.ieee.org/document/7757020/
  • Hunnikin LM, van Goozen SHM. How can we use knowledge about the neurobiology of emotion recognition in practice? Journal of Criminal Justice. 2019 Nov;65:101537.
  • Cooper S, Hobson CW, van Goozen SH. Facial emotion recognition in children with externalising behaviours: A systematic review. Clin Child Psychol Psychiatry. 2020 Oct;25(4):1068-1085. doi: 10.1177/1359104520945390. Epub 2020 Jul 25. PubMed 32713184 ↗
  • Wells AE, Hunnikin LM, Ash DP, van Goozen SHM. Improving emotion recognition is associated with subsequent mental health and well-being in children with severe behavioural problems. Eur Child Adolesc Psychiatry. 2021 Nov;30(11):1769-1777. doi: 10.1007/s00787-020-01652-y. Epub 2020 Sep 30. PubMed 32997168 ↗
  • Dadds MR, Cauchi AJ, Wimalaweera S, Hawes DJ, Brennan J. Outcomes, moderators, and mediators of empathic-emotion recognition training for complex conduct problems in childhood. Psychiatry Res. 2012 Oct 30;199(3):201-7. doi: 10.1016/j.psychres.2012.04.033. Epub 2012 Jun 15. PubMed 22703720 ↗
  • Hubble K, Bowen KL, Moore SC, van Goozen SH. Improving Negative Emotion Recognition in Young Offenders Reduces Subsequent Crime. PLoS One. 2015 Jun 29;10(6):e0132035. doi: 10.1371/journal.pone.0132035. eCollection 2015. PubMed 26121148 ↗
  • Moebert, T. & Lucke, U., (2019). E.V.A. - Emotionen Verstehen und Ausdrücken. In: Pinkwart, N. & Konert, J. (Hrsg.), DELFI 2019. Bonn: Gesellschaft für Informatik e.V.. (S. 289-290). DOI: 10.18420/delfi2019_324
  • Schlegel K, Grandjean D, Scherer KR. Introducing the Geneva emotion recognition test: an example of Rasch-based test development. Psychol Assess. 2014 Jun;26(2):666-72. doi: 10.1037/a0035246. Epub 2013 Dec 2. PubMed 24295238 ↗

Individual participant data

Plan to share: No

09

Timeline

Tracking since Sep 25, 2026
ElapsedEstimatedEstimated, not yet reachedSimilar studies: half by the dot; the band is the middle halfHalf of similar studies reached it by the dot; the band is the middle half, from a quarter to three quarters

Start is estimated for Apr 2021; primary completion for Nov 2021, 7 months later.

Of 800 non-industry interventional studies with no phase under Autism Spectrum Disorder, half reached primary completion within 25 months of starting (the median), counting those still running; a quarter within 12 and three quarters within 48. This study's planned 7 months is below that.

Counting every sponsor, half of 823 studies reached it within 25 months; a quarter within 12 and three quarters within 47.

How these figures are worked out, and which studies are left out of them.

Registered
Apr 8, 2021
First posted
Apr 14, 2021
StartEst.
Apr 15, 2021
Primary completionEst.
Nov 30, 2021
CompletionEst.
Nov 30, 2021
Last update
Apr 14, 2021
What these dates mean
Start.
When the first participant enrolled; while estimated, when the study expects to open to recruitment.
Primary completion.
When the last participant was examined or treated to collect data for the study's main question, its primary outcome. A study that stopped early gives the date its data collection stopped.
Completion.
When the last participant's last visit took place, for every outcome, secondary ones and side effects included: the end of the study. Often later than primary completion, sometimes the same day.
Actual and Est.
Actual means the registry says the date has happened. Est. (estimated) is a date the sponsor plans or expects. It can still move, and the sponsor is expected to change it to actual once it has passed.
No changes since tracking began. The registry record was last updated on Apr 14, 2021, before this site started recording changes on Sep 25, 2026. Its history is on ClinicalTrials.gov ↗
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Registry details

Key details

Study ID
NCT04845243
Lead sponsor
Prof. Christina Stadler
Responsible party
Prof. Christina Stadler (Head Psychologist, Clinical Professor, Clinic for Children and Adolescents, University Psychiatric Clinics Basel) — Sponsor-investigator
First posted
Apr 14, 2021
Start date
Apr 15, 2021 (estimated)
Primary completion
Nov 30, 2021 (estimated)
Completion
Nov 30, 2021 (estimated)
Last update
Apr 14, 2021

Study contacts

Christina Stadler, Professor
Contact
Christina.stadler@upk.ch
+41 61 325 51 11
Ana Cubillo, PhD
Contact
Ana.cubillo@upk.ch
+41 61 325 80 33

Oversight

FDA-regulated drug
No
FDA-regulated device
No
View the source record on ClinicalTrials.gov ↗

Not currently enrolling

This study is status unknown, as verified in Apr 2021. You cannot join it, but the record below documents what was studied.

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