Meta-analytic methods to detect publication bias in behavior science research
Publication bias is an issue of great concern across a range of scientific fields. Although less
documented in the behavior science fields, there is a need to explore viable methods for …
documented in the behavior science fields, there is a need to explore viable methods for …
[HTML][HTML] DigiDOP: A framework for applying digital technology to the Differential Outcomes Procedure (DOP) for cognitive interventions in persons with neurocognitive …
We present a framework–Digi-DOP-that includes a series of evidence-based
recommendations to design and apply cognitive interventions for people with …
recommendations to design and apply cognitive interventions for people with …
Toward an explicit technology of ecological validity
Ecological validity refers to how closely an experiment aligns with real‐world phenomena. In
applied behavioral research, ecological validity may guide decisions about experimental …
applied behavioral research, ecological validity may guide decisions about experimental …
Attack rate, case fatality rate and determinants of measles infection during a measles outbreak in Ethiopia: systematic review and meta-analysis
Abstract Background Although Ethiopia is working towards measles elimination, a recurrent
measles outbreak has occurred. To take appropriate measures, previously, many …
measles outbreak has occurred. To take appropriate measures, previously, many …
The role of the differential outcomes procedure and schizotypy in the recognition of dynamic facial expressions of emotions
A González-Rodríguez, Á García-Pérez… - Scientific Reports, 2024 - nature.com
Emotional facial expression recognition is a key ability for adequate social functioning. The
current study aims to test if the differential outcomes procedure (DOP) may improve the …
current study aims to test if the differential outcomes procedure (DOP) may improve the …
Differential outcomes training of visuospatial memory: a gamified approach using a socially assistive robot
A Markelius, S Sjöberg, M Bergström… - International Journal of …, 2024 - Springer
This study represents the first stage of evaluating whether cognitive training interventions
may be facilitated by the presence of a socially assistive robot (SAR) and gamification. Our …
may be facilitated by the presence of a socially assistive robot (SAR) and gamification. Our …
A primer for using multilevel models to meta‐analyze single case design data with AB phases
Meta‐analytic methods provide a way to synthesize data across treatment evaluation
studies. However, these well‐accepted methods are infrequent with behavior analytic …
studies. However, these well‐accepted methods are infrequent with behavior analytic …
Human-Robot Mutual Learning through Affective-Linguistic Interaction and Differential Outcomes Training [Pre-Print]
E Heikkinen, E Silvennoinen, I Khan… - arxiv preprint arxiv …, 2024 - arxiv.org
Owing to the recent success of Large Language Models, Modern AI has been much focused
on linguistic interactions with humans but less focused on non-linguistic forms of …
on linguistic interactions with humans but less focused on non-linguistic forms of …
A brief review on behavior recognition based on key points of human skeleton and eye gaze to prevent human error
N Lathifah, HI Lin - 2022 13th Asian Control Conference (ASCC …, 2022 - ieeexplore.ieee.org
The review on human behavior recognition and human error behavior is discussed in this
paper. Human error has advanced understanding of human behavior and provided a set of …
paper. Human error has advanced understanding of human behavior and provided a set of …
A human-robot mutual learning system with affect-grounded language acquisition and differential outcomes training
A Markelius, S Sjöberg, Z Lemhauori, L Cohen… - … Conference on Social …, 2023 - Springer
This paper presents a novel human-robot interaction setup for robot and human learning of
symbolic language for identifying robot homeostatic needs. The robot and human learn to …
symbolic language for identifying robot homeostatic needs. The robot and human learn to …