Errors In Task Performance Research Articles

Implicit audiomotor adaptation

Sensorimotor adaptation alters mappings between motor commands and their predicted outcomes. Such remapping has been extensively studied in the visual domain, but the degree to which it occurs in modalities other than vision remains less well understood. Here, we manipulated the modality of reach target presentation to compare sensorimotor adaptation in response to perturbations of visual and auditory feedback location. We compared the extent of adaptation to perturbed sensory feedback for visual and auditory sensory modalities, and the magnitude of reach-direction aftereffects when the perturbation was removed. To isolate the contribution of implicit sensorimotor recalibration to adaptation in reach direction, we held sensory prediction errors and task-performance errors constant via a task-irrelevant clamp of sensory feedback. Seventy-two participants performed one of three experiments in which target location information and endpoint reach direction feedback were presented by loudspeakers (n = 24), headphones (n = 24), or a visual display (n = 24). Presentation durations for target stimuli (500 ms) and (non-veridical) endpoint feedback of reach direction (100 ms) were matched for visual and auditory modalities. For all three groups, when endpoint feedback was perturbed, adaptation was evident: reach-directions increased significantly in the direction opposite the clamped feedback, and a significant aftereffect persisted after participants were instructed that the perturbation had been removed. This study provides new evidence that implicit sensorimotor adaptation occurs in response to perturbed auditory feedback of reach direction, suggesting that an implicit neural process to recalibrate sensory to motor maps in response to sensory prediction errors may be ubiquitous across sensory modalities.

Limb-related sensory prediction errors and task-related performance errors facilitate human sensorimotor learning through separate mechanisms.

The unpredictable nature of our world can introduce a variety of errors in our actions, including sensory prediction errors (SPEs) and task performance errors (TPEs). SPEs arise when our existing internal models of limb-environment properties and interactions become miscalibrated due to changes in the environment, while TPEs occur when environmental perturbations hinder achievement of task goals. The precise mechanisms employed by the sensorimotor system to learn from such limb- and task-related errors and improve future performance are not comprehensively understood. To gain insight into these mechanisms, we performed a series of learning experiments wherein the location and size of a reach target were varied, the visual feedback of the motion was perturbed in different ways, and instructions were carefully manipulated. Our findings indicate that the mechanisms employed to compensate SPEs and TPEs are dissociable. Specifically, our results fail to support theories that suggest that TPEs trigger implicit refinement of reach plans or that their occurrence automatically modulates SPE-mediated learning. Rather, TPEs drive improved action selection, that is, the selection of verbally sensitive, volitional strategies that reduce future errors. Moreover, we find that exposure to SPEs is necessary and sufficient to trigger implicit recalibration. When SPE-mediated implicit learning and TPE-driven improved action selection combine, performance gains are larger. However, when actions are always successful and strategies are not employed, refinement in behavior is smaller. Flexibly weighting strategic action selection and implicit recalibration could thus be a way of controlling how much, and how quickly, we learn from errors.

The effects of over-reliance on AI dialogue systems on students' cognitive abilities: a systematic review

The growing integration of artificial intelligence (AI) dialogue systems within educational and research settings highlights the importance of learning aids. Despite examination of the ethical concerns associated with these technologies, there is a noticeable gap in investigations on how these ethical issues of AI contribute to students’ over-reliance on AI dialogue systems, and how such over-reliance affects students’ cognitive abilities. Overreliance on AI occurs when users accept AI-generated recommendations without question, leading to errors in task performance in the context of decision-making. This typically arises when individuals struggle to assess the reliability of AI or how much trust to place in its suggestions. This systematic review investigates how students’ over-reliance on AI dialogue systems, particularly those embedded with generative models for academic research and learning, affects their critical cognitive capabilities including decision-making, critical thinking, and analytical reasoning. By using the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines, our systematic review evaluated a body of literature addressing the contributing factors and effects of such over-reliance within educational and research contexts. The comprehensive literature review spanned 14 articles retrieved from four distinguished databases: ProQuest, IEEE Xplore, ScienceDirect, and Web of Science. Our findings indicate that over-reliance stemming from ethical issues of AI impacts cognitive abilities, as individuals increasingly favor fast and optimal solutions over slow ones constrained by practicality. This tendency explains why users prefer efficient cognitive shortcuts, or heuristics, even amidst the ethical issues presented by AI technologies.

Task performance errors and rewards affect voluntary task choices.

Humans are remarkably flexible in adapting their behavior to current demands. It has been suggested that the decision which of multiple tasks to perform is based on a variety of factors pertaining to the rewards associated with each task as well as task performance (e.g., error rates associated with each task and/or error commission on the previous trial). However, further empirical investigation is needed to examine whether task performance still influences task choices if task choices are rewarded but task performance is not. Accordingly, we exposed participants to a novel reward-varying voluntary task switching paradigm where the reward for the performed task gradually decreased while the reward associated for the alternative task was unchanged. Importantly, we rewarded participants' task choices before participants performed the task to investigate the effect of rewards independent from task performance. We examined the effect of (i) reward, (ii) error rates associated with each of the two tasks, and (iii) error commission in the previous trial on voluntary task choices. As expected, we found that participants' task selection was influenced by reward differences between task choices. In addition, error rates associated with a task also influenced task selection, with participants requiring larger reward differences to switch to a task associated with relatively higher error rates, compared to switching to a task with relatively lower error rates. However, errors in n - 1 did not influence participants' probability to switch to the alternative task. These findings contribute to an ongoing discussion on the influence of task performance on task selection.

Application of Rasch Analysis to Timed Instrumental Activities of Daily Living in Low Vision: A Validation Study.

This work validates Rasch analysis of a performance-based low vision outcome measure evaluated in patients' own homes to ensure real-world relevance. Inclusion of sources of variance from the patient's home environment in functional outcome measures introduced nonuniform variance in measurements but did not preclude estimation of valid measures. This study aimed to validate Rasch analysis of a performance-based outcome measure with real-world relevance. Low vision patients (N = 161) receiving services from an occupational therapist performed Timed Instrumental Activity of Daily Living (TIADL) tasks in their homes. Rasch analysis was applied to error count and performance time data. Internal validity was assessed with evaluations of the accuracy and precision of estimated measures. External validity was assessed by comparing TIADL measures with measures estimated from the Activity Inventory (i.e., from self-reported difficulty ratings). Task measures were well targeted to person measures estimated from task performance time but were poorly targeted for measures estimated from task performance errors, for which most task trials (72%) were performed without error at baseline. Error-based person measures had larger standard errors with a smaller pseudo- R2 than time-based person or task measures and error-based task measures. Person measure infits for time- and error-based estimates conformed to expected values. The linear regressions between time-based person and task measures and corresponding error-based estimates had slopes of approximately 0.5, an observation consistent with larger estimation error variance for error-based measures than for time-based measures. Time-based TIADL person measures ( x ) and Activity Inventory person measures (estimated from all items, y ) were colinear but weakly correlated ( R = 0.19). Functional ability measures estimated from performance times of instrumental activity of daily living tasks in patients' homes demonstrate good internal and external validity. The ceiling effect from the infrequency of task performance errors in our data set limits use of TIADL error data to measure rehabilitation outcomes.

Sensorimotor Learning in Response to Errors in Task Performance.

The human sensorimotor system is sensitive to both limb-related prediction errors and task-related performance errors. Prediction error signals are believed to drive implicit refinements to motor plans. However, an understanding of the mechanisms that performance errors stimulate has remained unclear largely because their effects have not been probed in isolation from prediction errors. Diverging from past work, we induced performance errors independent of prediction errors by shifting the location of a reach target but keeping the intended and actual kinematic consequences of the motion matched. Our first two experiments revealed that rather than implicit learning, motor adjustments in response to performance errors reflect the use of deliberative, volitional strategies. Our third experiment revealed a potential dissociation of performance-error-driven strategies based on error size. Specifically, behavioral changes following large errors were consistent with goal-directed or model-based control, known to be supported by connections between prefrontal cortex and associative striatum. In contrast, motor changes following smaller performance errors carried signatures of model-free stimulus-response learning, of the kind underpinned by pathways between motor cortical areas and sensorimotor striatum. Across all experiments, we also found remarkably faster re-learning, advocating that such “savings” is associated with retrieval of previously learned strategic error compensation and may not require a history of exposure to limb-related errors.

Flexible use of post-saccadic visual feedback in oculomotor learning.

Saccadic eye movements bring objects of interest onto our fovea. These gaze shifts are essential for visual perception of our environment and the interaction with the objects within it. They precede our actions and are thus modulated by current goals. It is assumed that saccadic adaptation, a recalibration process that restores saccade accuracy in case of error, is mainly based on an implicit comparison of expected and actual post-saccadic position of the target on the retina. However, there is increasing evidence that task demands modulate saccade adaptation and that errors in task performance may be sufficient to induce changes to saccade amplitude. We investigated if human participants are able to flexibly use different information sources within the post-saccadic visual feedback in task-dependent fashion. Using intra-saccadic manipulation of the visual input, participants were either presented with congruent post-saccadic information, indicating the saccade target unambiguously, or incongruent post-saccadic information, creating conflict between two possible target objects. Using different task instructions, we found that participants were able to modify their saccade behavior such that they achieved the goal of the task. They succeeded in decreasing saccade gain or maintaining it, depending on what was necessary for the task, irrespective of whether the post-saccadic feedback was congruent or incongruent. It appears that action intentions prime task-relevant feature dimensions and thereby facilitated the selection of the relevant information within the post-saccadic image. Thus, participants use post-saccadic feedback flexibly, depending on their intentions and pending actions.

Identifying the Executive Function Strategies in Learning Tenses and in the Verb Gap-Fill Task Performance of an EFL Student with Dyslexia

Teaching of executive function strategies in learning and task performance to EFL students with specific learning difficulties plays an important role in inclusive education. The present case study presents an investigation of the strategies supporting executive functioning in the frames of learning self-regulation, which are applied in learning tenses and the verb gap-fill task performance of a grammar school student with dyslexia. A triangulation research approach included a semi-structured interview with the participant, a qualitative assessment of her written work, a questionnaire with the parents and EFL teacher, and a study of the evaluation report. The results highlight the participant’s difficulties in tense acquisition and frequent task performance errors, weak tense knowledge and low application of strategies supporting executive functioning. The results might help teachers create an inclusive environment in EFL classes.

Implementation of an assistive technology for meal preparation within a supported residence for adults with acquired brain injury: a mixed-methods single case study

Objectives This study aimed to investigate the feasibility of implementing an assistive technology for meal preparation called COOK within a supported community residence for a person with an acquired brain injury. Methods Using a mixed-methods approach, a multiple baseline single-case experimental design and a descriptive qualitative study were conducted. The participant was a 47-year-old woman with cognitive impairments following a severe stroke. She received 21 sessions of training on using COOK within a shared kitchen space. During meal preparation, independence and safety were evaluated using three target behaviours: required assistance, task performance errors, and appropriate responses to safety issues, which were compared with an untrained control task, making a budget. Benefits, barriers, and facilitators were assessed via three individual interviews with the client and three focus groups with the care team. Results Both quantitative and qualitative analyses showed that COOK significantly increased independence and safety during meal preparation but not in the control task. Stakeholders suggested that the availability of a training toolkit to a greater number of therapists at the residence and installation of COOK within the client’s apartment would help with successful adoption of this technology. Conclusion COOK is a promising assistive technology for individuals with cognitive deficits who live in supported community residences. Implication For Rehabilitation COOK is a promising assistive technology for cognition to increase independence and safety in meal preparation for clients with ABI within their supported living contexts. Receiving training from an expert and the availability of technical support are imperative to the successful adoption of COOK.

Decomposition of a sensory prediction error signal for visuomotor adaptation.

To accomplish effective motor control, the brain contains an internal forward model that predicts the expected sensory consequence of a motor command. When this prediction is inaccurate, a sensory prediction error is produced which adapts the forward model to make more accurate predictions of future movements. Other types of errors, such as task performance errors or reward, play less of a role in adapting a forward model. This raises the following question: What unique information is conveyed by the sensory prediction error that results in forward model adaptation? sensory prediction errors typically contain both the magnitude and direction of the error, but it is unclear if both components are necessary for adaptation or a single component is sufficient. In this article, we address this by having participants learn to counter a visuomotor rotation, which induces an angular mismatch between movements of the hand and visual feedback. We manipulated the information content of the visual feedback, in the form of a line, which accurately represented only the magnitude (distance), direction, or both magnitude and direction, of the virtual cursor relative to the target. We demonstrate that sensorimotor adaptation does not occur, or is minimal, when feedback is limited to information about the magnitude of an error. In contrast, sensorimotor adaptation is present when feedback is limited only to the direction of an error or when it contains combined direction and magnitude information. This result stands in contrast to current computational models of cerebellar-based sensorimotor adaptation that use error magnitude to drive adaptation. (PsycINFO Database Record

Characteristics of Implicit Sensorimotor Adaptation Revealed by Task-irrelevant Clamped Feedback

Sensorimotor adaptation occurs when there is a discrepancy between the expected and actual sensory consequences of a movement. This learning can be precisely measured, but its source has been hard to pin down because standard adaptation tasks introduce two potential learning signals: task performance errors and sensory prediction errors. Here we employed a new method that induces sensory prediction errors without task performance errors. This method combines the use of clamped visual feedback that is angularly offset from the target and independent of the direction of motion, along with instructions to ignore this feedback while reaching to targets. Despite these instructions, participants unknowingly showed robust adaptation of their movements. This adaptation was similar to that observed with standard methods, showing sign dependence, local generalization, and cerebellar dependency. Surprisingly, adaptation rate and magnitude were invariant across a large range of offsets. Collectively, our results challenge current models of adaptation and demonstrate that behavior observed in many studies of adaptation reflect the composite effects of task performance and sensory prediction errors.

Transfer and priming of surgical skills across minimally invasive surgical platforms

BackgroundRobot-assisted laparoscopic surgery (RALS) uses 3-dimensional visualization and wristed instruments that provide more degrees of freedom than rigid traditional laparoscopic (TLS) instrumentation. These features have been touted to improve accuracy and efficiency during surgical task performance. Little is known, however, about the transferability of skills between the two platforms or whether task performance on one platform primes surgeons for task performance on the other. MethodsTwenty-six subjects naïve to RALS were recruited to perform three Fundamentals of Laparoscopic Surgery tasks on both TLS and RALS platforms: peg transfer, pattern cutting (PC), and intracorporeal suturing. All tasks were performed within Fundamentals of Laparoscopic Surgery testing parameters and repeated three times by each subject on each platform. Platform and task order were randomized. Errors in task performance were defined as drops in the peg transfer task, faults 5 mm or more from the defined pattern during PC, and faults greater than 1 mm in suture placement from the defined points in intracorporeal suturing. Mean completion times and mean errors per trial (EPT) were calculated for each task on both platforms. Results were compared between those who performed TLS first (LF) and those who performed RALS first (RF) using unpaired Student's t-test (P < 0.05 considered statistically significant). ResultsNo statistically significant differences in task completion time were noted between the LF and RF groups. RF subjects had fewer errors during robotic PC than LF subjects (1.02 EPT versus 1.86 EPT, respectively; P = 0.02). No other differences in task quality were noted. ConclusionsIn surgeon's naïve to RALS, there is no evidence that skills acquired on RALS or TLS platforms are transferable to the other platform or that performing tasks on one platform primes a subject for task performance on the other. Performing TLS PC may have had a negative impact on subsequent RALS PC performance. These findings suggest that distinct programs for skills acquisition are necessary for both the TLS and RALS platforms.

The Effect of Vigil Length on Stress and Cognitive Fatigue

Finding effective ways to mitigate the effects of cognitive fatigue is important especially for high risk occupations. Previous work may have been affected by ceiling effects as it did not attempt to induce stress and fatigue prior to treatment. Therefore, establishing a method to induce stress and cognitive fatigue quickly and effectively in laboratory settings would be useful. Vigilance tasks are a validated method to induce perceived stress and task performance errors, but can be lengthy. We compared an abbreviated vigilance task at two vigil lengths (15-minute &amp; 30-minute) against a 15-minute quiet break as a control, while measuring per-ceived stress, mood, anxiety, and objective performance on a cognitive task before and after each condition. Our results showed the vigilance tasks can induce stress and cognitive fatigue and show promise as a pre-study measure to reduce ceiling effects in stress and fatigue restoration studies.

Measuring task performance after acquired brain injury: Construct and concurrent validity of ‘Upper Limb Performance Analysis’

Objective: This preliminary investigation studies selected aspects of validity of the Upper Limb Performance Analysis (ULPA), an occupation-based functional upper limb (UL) measure.Methods: The study investigated the ULPA–Task Performance Mastery (ULPA-TPM) in 35 community dwelling adults with upper motor neuron syndrome following acquired brain injury and 26 healthy controls. Construct and concurrent validity of the ULPA were determined via group discrimination between adults with and without ABI; and ABI participants who were and were not referred for UL spasticity management with botulinum toxin-A injections (injected and non-injected group). Concurrent validity was examined by investigating the relationships between the ULPA and an existing functional UL measure, the Action Research Arm Test, using Spearman’s rank-order correlation.Results: Significant differences in UL performance were demonstrated between the ABI and the Control group on all ULPA sub-scales (including: Omission (z = −2.6 to −3.6, rspb = 0.37–0.48), Accuracy (z = −5.8 to −6.0, rspb = 0.78–0.82), Repetition (z = −5.1 to −5.4, rspb = 0.63–0.73) and Timing errors (z = −5.9 to −6.2, rspb = 0.77–0.88). Those in the Injected group demonstrated more task performance errors than the Non-injected group, with significant differences in Accuracy (z = −2.1 to −2.4, rspb = 0.37–0.45), Repetition (z = −2.5 to −2.1, rspb = 0.43) and Timing (z = −2.0, rspb = 0.37).Conclusions: This study demonstrated good construct and concurrent validity of the ULPA-TPM.

MULTIJOINT COORDINATION DURING SIT-TO-STAND TASK IN PEOPLE WITH NON-SPECIFIC CHRONIC LOW BACK PAIN

Sit-to-stand (STS) is an important functional task affected by low back pain (LBP). It requires fundamental coordination among all segments of the body to control important performance variables such as body's center of mass (CM) and head positions. This study was conducted to determine whether LBPs could coordinate their multiple joints to achieve the task stability to the same extent as healthy controls. About 11 non-specific chronic LBP and 12 healthy control subjects performed STS task at three postural difficulty levels: rigid surface — open eyes (RO), rigid surface — closed eyes (RC) and narrow surface — closed eyes (NC). Motion variability of seven body segments, CM and head positions were calculated across 15 trials, and uncontrolled manifold (UCM) approach was used to investigate joint coordination. This approach partitioned segment angle variations into component that stabilizes a given performance variable and leads to task performance flexibility (UCM variability: VUCM) and that which does not stabilize the performance variable and leads to task performance error (orthogonal variability: VORT). The results showed that LBPs demonstrated significantly less VUCMregarding the control of horizontal CM position and greater VORTregarding the control of horizontal head position. The current findings revealed that multijoint coordination was impaired in the LBP subjects. These altered motor coordination strategies would make their postural control system less adaptive to altered postural demands and may predispose these subjects to re-injury.

Exploring the Validity of the Perceive, Recall, Plan and Perform System of Task Analysis: Cognitive Strategy Use in Adults with Brain Injury

Introduction: Ecologically valid assessment linking cognitive strategies to observed functional performance has been strongly advocated. This study examines the construct validity of one such assessment: the Perceive, Recall, Plan and Perform (PRPP) System of Task Analysis for the evaluation of adults with brain injury. Method: Eighteen occupational therapists observed videoed patient performance (n = 16) of personal and instrumental activities of daily living, then used the PRPP System of Task Analysis to identify task performance errors and to attribute these errors to underlying cognitive strategy deficits. Multifaceted Rasch analysis was used to generate a hierarchy of test items and to propose a linear continuum, along which the difficulty of test items, raters, patients and tasks could be measured simultaneously. The generated hierarchy was examined for congruency with theories of information processing and neurorehabilitation. Results: Test items, raters, patients and tasks demonstrated ‘fit’ with the Rasch model. Construct validity was well supported by strong parallels between the Rasch-generated hierarchy of PRPP items and conceptual models of information processing and occupational performance. Conclusion: The PRPP System of Task Analysis is a valid measure of cognitive strategy use during the occupational performance of adults with brain injury, demonstrating high levels of fit with Rasch modelling for test items, raters and patients.

Effects of alcohol impairment on motorcycle riding skills

Alcohol intoxication is a significant risk factor for fatal traffic crashes; however, there is sparse research on the impairing effects of alcohol on skills involved in motorcycle control. Twenty-four male motorcycle riders between the ages of 21 and 50 were assessed on a test track with task scenarios based on the Motorcycle Safety Foundation's (MSF) training program. A balanced incomplete block design was used to remove confounding artifacts (learning effects) by randomizing four BAC levels across three test days. In general, intoxicated riders demonstrated longer response times and adopted larger tolerances leading to more task performance errors. Most of the alcohol effects were evident at the per se 0.08% alcohol level, but some of the effects were observed at the lower 0.05% alcohol level. The effects of alcohol on motorcycle control and rider behavior were modest and occurred when task demand was high (offset weave), time pressure was high (hazard avoidance for near obstacles), and tolerances were constrained (circuit track). The modest effects may be due to the study design, in which experienced riders performed highly practiced, low-speed tasks; alcohol at these levels may produce larger effects with less experienced riders in more challenging situations.

Dissociating Early and Late Error Signals in Perceptual Recognition

Decisions about object identity follow a period in which evidence is gathered and analyzed. Evidence can consist of both task-relevant external stimuli and internally generated goals and expectations. How the various pieces of information are gathered and filtered into meaningful evidence by the nervous system is largely unknown. Although object recognition is often highly efficient and accurate, errors are common. Errors may be related to faulty evidence gathering arising from early misinterpretations of incoming stimulus information. In addition, errors in task performance are known to elicit late corrective performance monitoring mechanisms that can optimize or otherwise adjust future behavior. In this study, we used functional magnetic resonance imaging (fMRI) in an extended trial paradigm of object recognition to study whether we could identify performance-based signal modulations prior to and following the moment of recognition. The rationale driving the current report is that early modulations in fMRI activity may reflect faulty evidence gathering, whereas late modulations may reflect the presence of performance monitoring mechanisms. We tested this possibility by comparing fMRI activity on correct and error trials in regions of interest (ROIs) that were selected a priori. We found pre- and postrecognition accuracy-dependent modulation in different sets of a priori ROIs, suggesting the presence of dissociable error signals.

On Cognitive Properties of Human Factors and Error Models in Engineering and Socialization

Human factors are the most predominated factors in all systems where humans are part of the systems. Human traits and needs are the fundamental force underlying almost all phenomena in human task performances, engineering organizations, and socialization. This article explores the cognitive foundations of human traits and cognitive properties of human factors in engineering. A comprehensive set of fundamental traits of human beings are identified, and the hierarchical model of basic human needs is formally described. The characteristics of human factors and their influences in engineering organizations and socialization are explored. Based on the models of basic human traits, needs, and their influences, driving forces behind the human factors in engineering and society are revealed. A formal model of human errors in task performance is derived, and case studies of the error model in software engineering are presented.

Lowering Communication Barriers in Operating Room Technology

This paper examines the effects of new technology on team communication and information flow in a complex work environment, and offers design suggestions for improved team performance. Case study of a robot-assisted cholecystectomy procedure revealed teamwork disruption and an increase in the complexity of information flow and communication in the operating room as a result of the novel technology. A controlled experiment using a between-subjects design was conducted to test the hypothesis that providing critical information in a timely and accessible manner would increase communication efficiency and reduce errors in task performance. Eighteen pairs of participants took part in a simulated tool-changing task in surgery under one of three communication conditions: (a) no rules, (b) scripted, or (c) automated. Teams in the scripted and automated conditions performed significantly faster than the no-rules teams (p < .05). Teams in the automated condition made significantly more errors than those in the scripted condition (p < .05). Scripted speech can facilitate team communication and adaptation to new technology; automatic information display interfaces are not useful if the modality is incompatible with operator expectations. Information displays and communication protocols can be designed to ease adaptation to complex operating room technology.