Overt responding in computer-based training

A single treatment approach will never be sufficient to address the diversity of individuals with substance use disorders (SUDs). SUDs have historically defied definition through simple characterizations or models, and no single characterization has led to the development of broadly effective interventions. The range of dimensions of heterogeneity among individuals with SUDs, including severity of the disorder, type of substance, and issues that frequently co-occur, underscores the need for highly tailored approaches. Personalized medicine for individuals with SUDs will require two major developments. First, given the diversity of individuals with SUDs, multivariate phenotyping is needed to identify the particular features driving addictive processes in a given individual. Second, a wider range of interventions that directly target core mechanisms of addiction and the problems that co-occur with them is needed. As clinicians cannot be expected to master the full range of interventions that may target these core processes, developing interventions that can be delivered easily, flexibly, and systematically via technology will facilitate the ability to truly tailor them to this highly complex and challenging population. One such technology-delivered intervention, Computer-Based Training for Cognitive Behavioral Therapy (CBT4CBT), is used as an example to illustrate a vision for the future of highly tailored interventions for individuals with SUDs.

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FASTER and SCOTT&EVA trainings for adults with high-functioning autism spectrum disorder (ASD): study protocol for a randomized controlled trial

Trials ◽

10.1186/s13063-021-05205-9 ◽

2021 ◽

Vol 22 (1) ◽

Author(s):

Ludger Tebartz van Elst ◽

Thomas Fangmeier ◽

Ulrich Max Schaller ◽

Oliver Hennig ◽

Meinhard Kieser ◽

...

Keyword(s):

Autism Spectrum Disorder ◽

Social Communication ◽

Primary Outcome ◽

Autism Spectrum ◽

Spectrum Disorder ◽

Social Responsiveness ◽

Evidence Based ◽

Computer Based Training ◽

Randomized Controlled ◽

Computer Based

Abstract Background Autism spectrum disorder (ASD) is a chronic neurodevelopmental condition with a prevalence rate above 1%, characterized by deficits in social communication and interaction; restrictive, repetitive patterns of behavior, interests, or activities; and a preference for sameness and routines. The majority of adult ASD patients suffer from comorbid conditions such as depression and anxiety. Therapy options for adult ASD patients are lacking, with presently no available evidence-based interventions in Germany. Recently, two interventions to improve social responsiveness have been published. FASTER (“Freiburger Asperger-Spezifische Therapie für ERwachsene” = Freiburg Asperger-specific therapy for adults) is a manualized group psychotherapy program including three modules on psychoeducation, stress regulation management, and non-verbal and verbal social communication training with videotaped tasks. SCOTT&EVA (“Social Cognition Training Tool”, and its enhancement “Emotionen Verstehen und Ausdruecken” = understanding and expressing emotions) is a computer-based training program to enhance social cognition including video and audio material of emotional expressions and complex real-life social situations. Initial studies for both programs have shown good feasibility and efficacy. Methods Three hundred sixty adult participants with an autism spectrum disorder (ASD) will take part in a randomized controlled three-armed multi-center trial to prove the efficacy of manualized group psychotherapy and a manualized computer-based training program. Both interventions will be compared with a treatment as usual (TAU) group, aiming to establish evidence-based psychotherapy approaches for adult individuals with ASD. The primary outcome is evaluated by parents, spouses, or others who have sufficient insight into the respective participant’s social communication and interaction, and will be measured with the Social Responsiveness Scale. First, each of both interventions will be compared to TAU. If at least one of the differences is significant, both interventions will be compared against each other. The primary outcome will be measured at baseline (T0) and 4 months after baseline (T1). Discussion The trial is the first to validate psychiatric therapeutic and training interventions for adult ASD patients in Germany. A trial is needed because the prevalence of ASD in adulthood without intellectual disability is high, and no evidence-based intervention can be offered in Germany. Trial registration German Clinical Trial Register DRKS00017817. Registered on 20 April 2020.

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Weatherwise: Evaluation of a Cue-Based Training Approach for the Recognition of Deteriorating Weather Conditions during Flight

Human Factors The Journal of the Human Factors and Ergonomics Society ◽

10.1518/hfes.45.2.337.27246 ◽

2003 ◽

Vol 45 (2) ◽

pp. 337-345 ◽

Cited By ~ 50

Author(s):

Mark Wiggins ◽

David O'Hare

Keyword(s):

Decision Making ◽

Significant Proportion ◽

Evaluation Process ◽

Weather Conditions ◽

The United States ◽

Training System ◽

General Aviation ◽

Self Report ◽

Computer Based Training ◽

Computer Based

Inappropriate and ineffective weather-related decision making continues to account for a significant proportion of general aviation fatalities in the United States and elsewhere. This study details the evaluation of a computer-based training system that was developed to provide visual pilots with the skills necessary to recognize and respond to the cues associated with deteriorating weather conditions during flight. A total of 66 pilots were assigned to one of two groups, and the evaluation process was undertaken at both a self-report and performance level. At the self-report level, the results suggested that pilots were more likely to use the cues following exposure to the training program. From a performance perspective, there is evidence to suggest that cue-based training can improve the timeliness of weather-related decision making during visual flight rules flight. Actual or potential applications of this research include the development of computer-based training systems for fault diagnosis in complex industrial environments.

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