Analyzing conditions for recognizing pictures of family members in a patient with Alzheimer's disease

Brogård-Antonsen, Anette; Arntzen, Erik

doi:10.1002/bin.1655

Cited by 7 publications

(4 citation statements)

References 27 publications

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“…Among the different types of apparatus used for applied research, researchers used the computer most often at 43.86% ( n = 50) of the 114 apparatuses that were used within the 100 applied studies that were included in the current review. Studies that used computers primarily utilized programmable software such as Microsoft’s Visual Basic (e.g., Lovett & Rehfeldt, 2014; Varella & de Souza, 2015); preprogrammed computer software that collected the DV automatically (e.g., Headsprout Early Learning for Grindle et al, 2013; a custom match-to-sample program for Brogård-Antonsen & Arntzen, 2019); or applications that run on mobile devices (e.g., Motiv8 for Martner & Dallery, 2019; Plickers for Radley et al, 2019).…”

Section: Resultsmentioning

confidence: 99%

The use of automated data collection in applied behavior analytic research: A systematic review.

Bak¹,

Plavnick²,

Dueñas³

et al. 2021

Behavior Analysis: Research and Practice

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Applied behavior analysis (ABA) involves the study of human behavior and typically uses human data collectors to observe and measure behavior. Recent developments in technology have introduced various automated data-collection apparatuses that can measure human behavioral data useful to applied behavior-analysts. However, there have been very little extant literature on the use of automated data-collections in applied behavior-analytic research. The current review investigated the extent to which the field of ABA incorporates automated data-collection from selected ABA journals between 2010 to 2019. Of the 2,155 data-based articles selected for the current review, 9.74% (n = 207) used automated data-collection. Among these, 48.31% (n = 100) were coded as being applied research. Limitations and future research for automated data-collection in ABA are also discussed.

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Section: Resultsmentioning

confidence: 99%

The use of automated data collection in applied behavior analytic research: A systematic review.

Bak¹,

Plavnick²,

Dueñas³

et al. 2021

Behavior Analysis: Research and Practice

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“…To assess for generalization of the MTS-training, it would be of interest to study how participants with dementia respond when presented novel stimuli in an identity matching test after the MTS-training and test (see, Camara et al, 2017;Steingrimsdottir & Arntzen, 2011a). Furthermore, it is important to replicate earlier studies which have employed MTS training and tests with longer delays (Steingrimsdottir & Arntzen 2011b), and showed maintenance of matching performance over time (Brogård-Antonsen & Arntzen, 2019). In sum, the studies suggested above would gain more knowledge about the use of the MTS-procedure to detect behavioral changes related to the progression of the disease.…”

Section: Limitations and Further Researchmentioning

confidence: 99%

“…Remembering can be described as emitting a correct response to a comparison stimulus after a temporal delay between the offset of a sample stimulus and the onset of the comparison stimuli (White, 2013). The MTS procedure has been used to assess the progression of dementia (Fowler, Saling, Conway, Semple, & Louis, 1995), and in maintaining and retraining functional skills (Brogård-Antonsen & Arntzen, 2019;Cowley, Green, & Braunling-McMorrow, 1992;Ducatti & Schmidt, 2016;Steingrimsdottir & Arntzen, 2014).…”

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confidence: 99%

Identity matching in a person with Alzheimer’s disease

Brogård-Antonsen

Arntzen

2020

European Journal of Behavior Analysis

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In the present study, a 91-year-old woman with Alzheimer's disease participated. The purpose of the experiment was to study how repetitions of conditions affected correct responding in identity matching-to-sample. The participant was presented with identity matching training with three colors (yellow, blue, and red). It was alternated between (A) delayed matching-to-sample 0 s (DMTS 0 s) and (B) simultaneous matching-to-sample (SMTS). These two conditions were repeated in six phases in an ABABAB-design. In the second part of the experiment, the participant was exposed for the same six phases again but with another set of color stimuli (green, orange, and purple). The results showed that the number of trials needed to meet the criterion for training decreased as the conditions were repeated, also with the new set of stimuli.

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“…However, the equivalence theory can be used in teaching new concepts to normal children and adults, including college students (Sidman et al, 1986;Hove, 2003;Saunders et al, 2005;Fienup et al, 2010;Walker et al, 2010;Lovett et al, 2011;Grisante et al, 2013;Placeres, 2014;Fienup et al, 2015). Some neurocognitive disorders, like Alzheimer's disease, are also a research area that equivalence theory deals with where it is discussed that derived relational responding is deteriorated as the cognitive impairment advances over time (Bódi et al, 2009;Gallagher & Keenan, 2009;Steingrimsdottir & Arntzen, 2011;Sidman, 2013;Arntzen et al, 2013;Arntzen & Steingrimsdottir, 2014;Seefeldt, 2015;Ducatti & Schmidt, 2016;Arntzen & Steingrimsdottir, 2017;Brogård-Antonsen & Arntzen, 2019).…”

Section: Introductionmentioning

confidence: 99%

Equivalence Projective Simulation as a Framework for Modeling Formation of Stimulus Equivalence Classes

et al. 2020

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Stimulus equivalence (SE) and projective simulation (PS) study complex behavior, the former in human subjects and the latter in artificial agents. We apply the PS learning framework for modeling the formation of equivalence classes. For this purpose, we first modify the PS model to accommodate imitating the emergence of equivalence relations. Later, we formulate the SE formation through the matching-to-sample (MTS) procedure. The proposed version of PS model, called the equivalence projective simulation (EPS) model, is able to act within a varying action set and derive new relations without receiving feedback from the environment. To the best of our knowledge, it is the first time that the field of equivalence theory in behavior analysis has been linked to an artificial agent in a machine learning context. This model has many advantages over existing neural network models. Briefly, our EPS model is not a black box model, but rather a model with the capability of easy interpretation and flexibility for further modifications. To validate the model, some experimental results performed by prominent behavior analysts are simulated. The results confirm that the EPS model is able to reliably simulate and replicate the same behavior as real experiments in various settings, including formation of equivalence relations in typical participants, nonformation of equivalence relations in language-disabled children, and nodal effect in a linear series with nodal distance five. Moreover, through a hypothetical experiment, we discuss the possibility of applying EPS in further equivalence theory research.

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Analyzing conditions for recognizing pictures of family members in a patient with Alzheimer's disease

Abstract: In the present study, an 89-year-old woman with the neurocognitive disorder Alzheimer's disease participated.The purpose was to study recognition of the participant's relatives' faces with the use of sorting tests and matchingto-sample (MTS) trainings and tests for emergent relations.

Cited by 7 publications

References 27 publications

The use of automated data collection in applied behavior analytic research: A systematic review.

The use of automated data collection in applied behavior analytic research: A systematic review.

Identity matching in a person with Alzheimer’s disease

Equivalence Projective Simulation as a Framework for Modeling Formation of Stimulus Equivalence Classes

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