Utilizing in-vivo feedback for caregiver training of pediatric feeding protocols

Researchers have used multicomponent behavioral skills training packages including written and verbal instructions, modeling, rehearsal, and feedback when teaching caregivers to implement pediatric feeding treatment protocols (e.g., Anderson & McMillan, 2001; Seiverling et al., 2012). Some investigators have shown that fewer behavioral skills training components may be necessary for effective training (e.g., Mueller et al., 2003; Pangborn et al., 2013). We examined the use of in-vivo feedback following written instructions to train caregivers to implement pediatric feeding treatment protocols using a multiple baseline design across 3 caregiver dyads. Correct implementation of the feeding treatment procedures was low during baseline (written instructions only), increased with only the addition of in-vivo feedback, and remained high during follow-up sessions for all caregivers. Results are discussed in terms of clinical implications and caregiver satisfaction.     

Evaluating discrete trial teaching with instructive feedback delivered in a dyad arrangement via telehealth

Telehealth research in the field of applied behavior analysis (ABA) has focused on the training and supervision of others to implement various behavior analytic procedures. Current guidelines for practicing telehealth suggest that direct telehealth services may be appropriate for some individuals diagnosed with autism spectrum disorder, but more research is needed. This study evaluated the effects of discrete trial teaching with instructive feedback in a dyad arrangement delivered directly via telehealth to teach tact relations to 6 children diagnosed with autism spectrum disorder. All participants and the experimenter were located in different physical locations. All participants learned their primary and secondary targets, and 5 of the participants acquired the observational primary and secondary targets without direct teaching. Areas of future research and clinical implications are discussed in the context of telehealth service delivery.     

How do we judge our confidence? Differential effects of meta-memory feedback on eyewitness accuracy and confidence

According to the cue–belief model, we assess confidence in our memories using self-credibility cues that reflect beliefs about our memory faculties. We tested the influence of meta-memory feedback on self-credibility cues in the context of eyewitness testimony, when feedback was provided prior to “testifying” via a memory questionnaire (Experiment 1) and after an initial memory questionnaire but before participants had to retake it (Experiment 2). Participants received feedback (good score, bad score, or none) on a fictitious scale purported to predict eyewitness memory ability. Those given good score feedback before testifying were more confident (but no more accurate) than those given bad score feedback. Feedback also affected confidence (good increased and bad decreased) and accuracy (good increased) after testifying but only on leading questions. These differential effects of meta-memory feedback on confidence for normal and leading questions are not explained by the cue–belief model. Implications for our confidence judgments are discussed.     

App-based feedback on safety to novice drivers: Learning and monetary incentives

An over-proportionally large number of car crashes is caused by novice drivers. In a field experiment, we investigated whether and how car drivers who had recently obtained their driving license reacted to app-based feedback on their safety-relevant driving behavior (speeding, phone usage, cornering, acceleration and braking). Participants went through a pre-measurement phase during which they did not receive app-based feedback but driving behavior was recorded, a treatment phase during which they received app-based feedback, and a post-measurement phase during which they did not receive app-based feedback but driving behavior was recorded. Before the start of the treatment phase, we randomly assigned participants to two possible treatment groups. In addition to receiving app-based feedback, the participants of one group received monetary incentives to improve their safety-relevant driving behavior, while the participants of the other group did not. At the beginning and at the end of experiment, each participant had to fill out a questionnaire to elicit socio-economic and attitudinal information.We conducted regression analyses to identify socio-economic, attitudinal, and driving-behavior-related variables that explain safety-relevant driving behavior during the pre-measurement phase and the self-chosen intensity of app usage during the treatment phase. For the main objective of our study, we applied regression analyses to identify those variables that explain the potential effect of providing app-based feedback during the treatment phase on safety-relevant driving behavior. Last, we applied statistical tests of differences to identify self-selection and attrition biases in our field experiment.For a sample of 130 novice Austrian drivers, we found moderate improvements in safety-relevant driving skills due to app-based feedback. The improvements were more pronounced under the treatment with monetary incentives, and for participants choosing higher feedback intensities. Moreover, drivers who drove relatively safer before receiving app-based feedback used the app more intensely and, ceteris paribus, higher app use intensity led to improvements in safety-related driving skills. Last, we provide empirical evidence for both self-selection and attrition biases.     

反馈间隔影响反馈加工：整合行为和电生理研究的视角

反馈在现实生活中扮演着重要角色, 通过反馈信息进行学习是人类获取知识和技能的有效手段。反馈间隔是指个体行为发生到反馈刺激呈现之间的时间间隔。在反馈加工过程中, 反馈间隔是一个重要影响因素, 但反馈间隔影响反馈加工的研究结果不一。对反馈间隔影响反馈加工的行为和电生理研究分别做了介绍, 对结果出现差异的原因进行了分析。未来的研究应考虑结合行为研究与电生理研究, 并统一反馈间隔的操作定义。     

Autoshaping and automaintenance: a neural-network approach

This article presents an interpretation of autoshaping, and positive and negative automaintenance, based on a neural-network model. The model makes no distinction between operant and respondent learning mechanisms, and takes into account knowledge of hippocampal and dopaminergic systems. Four simulations were run, each one using an A-B-A design and four instances of feedfoward architectures. In A, networks received a positive contingency between inputs that simulated a conditioned stimulus (CS) and an input that simulated an unconditioned stimulus (US). Responding was simulated as an output activation that was neither elicited by nor required for the US. B was an omission-training procedure. Response directedness was defined as sensory feedback from responding, simulated as a dependence of other inputs on responding. In Simulation 1, the phenomena were simulated with a fully connected architecture and maximally intense response feedback. The other simulations used a partially connected architecture without competition between CS and response feedback. In Simulation 2, a maximally intense feedback resulted in substantial autoshaping and automaintenance. In Simulation 3, eliminating response feedback interfered substantially with autoshaping and automaintenance. In Simulation 4, intermediate autoshaping and automaintenance resulted from an intermediate response feedback. Implications for the operant-respondent distinction and the behavior-neuroscience relation are discussed.     

The relationship between employees’ experience of performance management and work engagement within a South African organisation

The study investigated the relationship between employees’ experience of performance management and work engagement. Participants were a convenience sample of employed adults (N=202; females=59%, middle management?=?48%, White?=?54%, tenure more than 9 years?=?48%) in an organisation in the vehicle and asset-based finance industry. They completed the Performance Management Questionnaire (PMQ) and Utrecht Work Engagement Scale (UWES). Multiple regression analysis was used to determine the proportion of variance of work engagement that is explained by employees’ experience of performance management. Results revealed that only empowerment significantly predicted work engagement. These findings suggest that when employees experience performance management as empowering, they are also likely to have higher levels of work engagement.     

When Fluency Signals Truth: Prior Successful Reliance on Fluency Moderates the Impact of Fluency on Truth Judgments

Repeated statements are more frequently judged to be true. One position relates this so‐called “truth effect” to metacognitive experiences of fluency, suggesting that repeated statements are more frequently judged to be true because they are processed more fluently. Although most prior research focused on why repetition influences truth judgments, considerably less is known about when fluency is used as information. The present research addresses this question and investigates whether reliance on fluency is moderated by learning experiences. Specifically, we focus on changes in the reliance on fluency over the course of time. A series of experiments reveals that fluency is more likely to be used in truth judgments when previous reliance on fluency has resulted in valid judgments, compared with when previous reliance on fluency was misleading. These findings suggest that reliance on fluency in judgments is a finely tuned process that takes prior experiences with fluency‐based judgments into account. Copyright © 2013 John Wiley & Sons, Ltd.     

社会交往情境中权力和反馈对情绪的影响

以往关于权力是否影响情绪的研究存在结果争议,这意味着可能存在其它因素的作用。本研究基于权力控制理论和社会距离理论,探究了社交情境中权力和反馈对情绪的影响。研究1采用经验取样法收集了140名被试五天内的1706段社交经历,研究2采用实验法考察了148名被试的社交经历。结果表明,权力和反馈对情绪存在交互影响:(1)当个体处于低权力情境时,反馈影响情绪,反馈越积极,情绪也越积极;(2)当个体获得积极反馈时,权力不影响情绪;当个体获得消极反馈时,权力影响情绪,权力越高,情绪相对更积极。本研究有助于厘清以往研究关于权力与情绪关系的争议。     

Disrupting somatosensory processing impairs motor execution but not motor imagery

While motor imagery (MI) is thought to be ‘functionally equivalent’ with motor execution (ME), the equivalence of feedforward and feedback mechanisms between the two modalities is unexplored. Here, we tested the equivalence of these mechanisms between MI and ME via two experiments designed to probe the role of somatosensory processing (Exp 1), and cognitive processing (Exp 2). All participants were engaged in a previously established force-matching task adapted for MI. A reference force was applied (on scale of 1–10, with higher numbers indicative of greater force) to one index finger while participants matched the force with their opposite index finger via ME or MI (control conditions). Participants then rated the force on the same scale of 1–10. Exp 1: Participants (N = 27) performed the task with tactile stimulation (ME+TAC, MI+TAC) in addition to control conditions. Exp 2: Participants (N = 26) performed the task in dual-task conditions (ME+COG, MI+COG) in addition to control conditions. Results indicate that (Exp 1) tactile stimulation impaired performance in ME but not MI. Dual-task conditions (Exp 2) were not shown to impair performance in either practice modality. Findings suggest that while somatosensory processing is critical for ME, it is not for MI. Overall we indicate a functional equivalence between feedforward/back mechanisms in MI and ME may not exist.