The current work examines the effect of trial-by-trial feedback about correct and error responding on performance in two basic cognitive tasks: a classic Stroop task (n = 40) and a color-word matching task (n = 30). Standard measures of both RT and accuracy were examined in addition to measures obtained from fitting the ex-Gaussian distributional model to the correct RTs. For both tasks, RTs were faster in blocks of trials with feedback than in blocks without feedback, but this difference was not significant. On the other hand, with respect to the distributional analyses, providing feedback served to significantly reduce the size of the tails of the RT distributions. Such results suggest that, for conditions in which accuracy is fairly high, the effect of corrective feedback might either be to reduce the tendency to double-check before responding or to decrease the amount of attentional lapsing.
Cognitive assessment with virtual reality (VR) may have superior ecological validity for older adults compared to traditional pencil-and-paper cognitive assessment. However, few studies have reported the development of VR tasks. The aim of this study was to present the development, feasibility, content validity, and preliminary evidence of construct validity of an ecological task of cognitive assessment for older adults in VR (ECO-VR). The tasks were prepared based on theoretical and clinical backgrounds. We had 29 non-expert judges identify virtual visual stimuli and three-dimensional scenarios, and five expert judges assisted with content analysis and developing instructions. Finally, six older persons participated in three pilot studies and thirty older persons participated in the preliminary study to identify construct validity evidence. Data were analyzed by descriptive statistics and partial correlation. Target stimuli and three-dimensional scenarios were judged adequate and the content analysis demonstrated that ECO-VR evaluates temporo-spatial orientation, memory, language and executive functioning. We made significant changes to the instructions after the pilot studies to increase comprehensibility and reduce the completion time. The total score of ECO-VR was positively correlated mainly with performance in executive function (r = .172, p < .05) and memory tests (r = .488, p ≤ .01). The ECO-VR demonstrated feasibility for cognitive assessment in older adults, as well as content and construct validity evidences.
Abstract:The aim of this work is to evaluate the roles of age and emotional valence in word recognition in terms of ex-Gaussian distribution components. In order to do that, a word recognition task was carried out with two age groups, in which emotional valence was manipulated. Older participants did not present a clear trend for reaction times. The younger participants showed significant statistical differences in negative words for target and distracting conditions. Addressing the ex-Gaussian τ parameter, often related to attentional demands in the literature, agerelated differences in emotional valence seem not to have an effect for negative words. Focusing on emotional valence for each group, the younger participants only showed an effect on negative distracting words. The older participants showed an effect regarding negative and positive target words, and negative distracting words. This suggests that the attentional demand is higher for emotional words, in particular, for the older participants.
The development of neuropsychological assessment methods using virtual reality (VR) is a valid and promising option for the detection of cognitive impairment in the older people, focusing on activities composed of tasks of multiple demands. This study verified the association of age, schooling, and general cognitive status on the performance of neurologically healthy older adults in ECO-VR, a VR task of multiple demands for neuropsychological assessment. A total of 111 older adults answered a sociodemographic questionnaire, the Mini Mental State Examination, the Vocabulary subtest of the Wechsler Intelligence Scale for Adults (third edition), and the ECO-VR. Correlation analyses, multiple linear regression, and comparisons between groups (effects by age and schooling groups) were used to evaluate the results. The ECO-VR total score was significantly associated with age, years of education, MMSE, and Vocabulary subtest. The linear regression models identified that age was the main predictor for total score and rule breaking of ECO-VR. According to the univariate analysis, it was identified the main effect of age group and schooling group in the total ECO-VR score, but there was no interaction effect. The results are discussed in order to understand the role of sociodemographic characteristics in the performance of older adults in a VR task of multiple demands. It was also verified the possibility use of VR for neuropsychological assessment of older adults.
Introduction: In order to satisfactorily perform the tasks of daily life we must emphasize the importance of manual skills. The hand not only serves as a receiver of information, but also as an executer response. The manual skill interacts with
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