Task Outcomes Research Articles

Attentional focus on learning fundamental movement skills in children

Several researchers studying focus of attention have concluded that the external focus is superior to the internal in learning motor skills in adults. However, there is limited research concerning the effect of different focus of attention on learning fundamental movement skills in kindergarten children. The present study aimed to compare the effectiveness of internal and external focus of attention on learning and transfer of a throwing skill in kindergarten children. Participants were 51 children (5-6 years), boys and girls, who were randomly selected and assigned into three groups: two experimental (internal and external focus respectively) and one control group. The movement form and the outcome of a throwing task were evaluated. It was found that both experimental groups improved over time, in both movement form and outcome. During the transfer test, the external focus group was better than the internal focus group in movement form; however, there were no differences in movement outcome. It is concluded that both the external or internal focus of attention improved over time the movement outcome and form of the throwing skill. Since the acquisition of sports skills requires the acquisition of fundamental motor skills, further research is needed to investigate the effect of the external or internal focus of attention on fundamental movement skills in kindergarten children.

Bimanual motor impairments in older adults: an updated systematic review and meta-analysis.

This updated systematic review and meta-analysis further examined potential effects of aging on bimanual movements. Forty-seven qualified studies that compared bimanual motor performances between elderly and younger adults were included in this meta-analysis. Moderator variable analyses additionally determined whether altered bimanual motor performances in older adults were different based on the task types (i.e., symmetry vs. asymmetry vs. complex) or outcome measures (i.e., accuracy vs. variability vs. movement time). The random effects model meta-analysis on 80 comparisons from 47 included studies revealed significant negative overall effects indicating more bimanual movement impairments in the elderly adults than younger adults. Moderator variable analyses found that older adults showed more deficits in asymmetrical bimanual movement tasks than symmetrical and complex tasks, and the bimanual movement impairments in the elderly adults included less accurate, more variable, and greater movement execution time than younger adults. These findings suggest that rehabilitation programs for improving motor actions in older adults are necessary to focus on functional recovery of interlimb motor control including advanced motor performances as well coordination.

Gamification in Education: A Study of Design-Based Learning in Operationalizing a Game Studio for Serious Games

The gamification of learning has proven educational benefits, especially in secondary education. Studies confirm the successful engagement of students with improved time on task, motivation and learning outcomes. At the same time, there remains little research on games and learning at the postsecondary level of education where traditional pedagogies remain the norm. Studies that have been conducted remain almost exclusively restricted to science programs, including medicine and engineering. Moreover, postsecondary subject-matter experts who have created their own gamified experiences often are forced to do so on an ad hoc basis either on their own, teaching themselves game engines, or with irregular support from experts in the field. But to ensure a well-designed, developed, and high-quality educational experience that leads to desired outcomes for a field, a sustainable infrastructure needs to be developed in institutions that have (or can partner with) others that have an established game design program. Moreover, such a design-based learning approach can be embedded within an existing studio model to help educate participants while producing an educational product. As such, this qualitative case study provides an example of the process of operationalizing a game design studio from pre-production through post-production, drawing from the design and development of the educational video game The Museum of the Lost VR (2022). The results, resources, and classification system presented are scalable and provide models for different sized institutions. Methods to develop a sustainable infrastructure are presented to ensure interdisciplinary partnerships across departments and institutions with game design programs to collaborate and create educational experiences that optimize user experience and learning outcomes.

Judgement of agency as a measure of efficacy prediction

In psychology, the idea has been repeatedly expressed that the perceptions of a possible outcome influence the actual outcome. According to this idea, the efficacy prediction simultaneously affects the results and is based on the results, which complicates the possibility of experimental research in this area. One problem is developing a method for measuring the efficacy prediction. This study proposes a retrospective method to measure the efficacy prediction based on the sense of agency. The method is based on the hypothesis that task outcomes that do not match the efficacy prediction will be accompanied by a low sense of agency. Two experiments were conducted in which participants had to perform a sensorimotor task related to the evaluation of time intervals. A screen showed two objects: a moon (the target) and a rocket located on a vertical line. The task was to “land the rocket on the moon” without vision control. In order to achieve the goal, the participants had to press the spacebar twice: the longer the participants waited before the second press, the further the rocket would go. The distance and size of the target were used as variables that determined the difficulty of the task. We hypothesized that the hits in the difficult tasks would be attributed to the computer more often than the hits in the simple tasks. The results agreed with our hypothesis. The participants were more likely to attribute to the computer the hits on more difficult targets and the misses on easier targets. We concluded that the judgement of agency can be used as a valid method for measuring efficacy control, although further research is planned to investigate an alternative explanation for the results.

Differential association of baseline body weight and body-weight loss with neurological deficits, histology, and death after repetitive closed head traumatic brain injury

Clinical observations indicate that body weight (BW) extremes are associated with worse outcome after traumatic brain injury (TBI); yet, it is uncertain whether the baseline BW (bBW) may affect outcome after mouse TBI. We retrospectively analyzed 129 similarly aged (9–12 weeks) male C57BL6/J mice that were subjected to repetitive closed head TBI (rTBI) using an established weight drop paradigm as well as 55 sham injured mice. We sought to determine whether the bBW as well as the post-TBI weight relative to baseline (%BW) were associated with a variety of post-rTBI outcomes, including acute model complications (skull fractures and macroscopic hemorrhage), impact seizures, return of the righting reflex (RR), the neurological severity score (NSS), post-rTBI BW-change, and 28-day mortality. In a subset of rTBI mice, we also assessed for potential associations between the bBW and %BW and performance in the novel object recognition (NOR) task and various histological outcomes at 28 days. We found no association between the bBW with acute model complications, impact seizure burden, RR, NSS, and NOR performance at 28 days, as well as cerebral microbleed burden, presence of hyperphosphorylated tau, and TDP-43 pathology after rTBI. However, a higher bBW was associated with a longer time to first impact seizure, a greater microglial activation, astrocytosis, and neuronal loss in the injured cerebral cortex at 28 days. A greater %BW-loss was associated with a shorter impact seizure-free survival, longer time to return of the righting reflex, greater neurological deficit severity as assessed by the NSS and NOR, and worse mortality. On multiple linear regression there was no independent association of the %BW-loss with neuronal loss and neuroinflammation after adjustment for the bBW. These observations indicate that the bBW and %BW-loss may be important biological variables in certain experimental mouse TBI investigations, depending on the outcome measures of interest.

The role of the SLC6A3 3\u2019 UTR VNTR in nicotine effects on cognitive, affective, and motor function

RationaleNicotine has been widely studied for its pro-dopaminergic effects. However, at the behavioural level, past investigations have yielded heterogeneous results concerning effects on cognitive, affective, and motor outcomes, possibly linked to individual differences at the level of genetics. A candidate polymorphism is the 40-base-pair variable number of tandem repeats polymorphism (rs28363170) in the SLC6A3 gene coding for the dopamine transporter (DAT). The polymorphism has been associated with striatal DAT availability (9R-carriers > 10R-homozygotes), and 9R-carriers have been shown to react more strongly to dopamine agonistic pharmacological challenges than 10R-homozygotes.ObjectivesIn this preregistered study, we hypothesized that 9R-carriers would be more responsive to nicotine due to genotype-related differences in DAT availability and resulting dopamine activity.MethodsN=194 non-smokers were grouped according to their genotype (9R-carriers, 10R-homozygotes) and received either 2-mg nicotine or placebo gum in a between-subject design. Spontaneous blink rate (SBR) was obtained as an indirect measure of striatal dopamine activity and smooth pursuit, stop signal, simple choice and affective processing tasks were carried out in randomized order.ResultsReaction times were decreased under nicotine compared to placebo in the simple choice and stop signal tasks, but nicotine and genotype had no effects on any of the other task outcomes. Conditional process analyses testing the mediating effect of SBR on performance and how this is affected by genotype yielded no significant results.ConclusionsOverall, we could not confirm our main hypothesis. Individual differences in nicotine response could not be explained by rs28363170 genotype.

Computer-mediated Diagnostic Assessment of Mixed-ability EFL Learners’ Performance on Tiered Tasks: Differentiating Mediation on Google Meet™

Grounded in Vygotsky’s sociocultural theory of mind and the learner-centered approach to second/foreign language acquisition (SLA), this study investigated the extent to which the embedded differentiated instructions and diagnostic assessment, being mediated on Google Meet™ computer-mediated communication platform, would impact the improvement of mixed-ability English-as-a-Foreign-Language (EFL) learners’ English words pronunciation and their degree of engagement in language learning. In a repeated-measures research design, an intact group of 66 EFL learners were partitioned into three tiers of higher, mid- and lower achievers to complete a virtual pretest of listening comprehension, followed by a series of parallel tiered performance tasks of English words pronunciation on a weekly basis. Their task outcomes were subsequently subjected to collective computer-mediated diagnostic assessment. After 10 sessions of intervention, the participants performed on an immediate virtual posttest of listening comprehension, and a post hoc interview. The results of mixed between-within subjects analysis of variance (ANOVA) indicated both the significant learning progress by the tiers, and the outperformance of the lower achievers on the tiered tasks. The statistical results of an analysis of covariance (ANCOVA) similarly reported significant improvement of the tiers’ performance on the pretest-posttest summative assessment in this study. The inductive content analysis of the participants’ responses to the structured interview elicited seven themes which were interpreted as the participants’ strong approval of the usefulness of differentiated instructions, effectiveness of diagnostic assessment, and successful appeal of Google Meet platform.

Measuring self-efficacy and outcome expectancy in evidence-based practice: A systematic review on psychometric properties.

Evidence-based practice has developed over the last 30 years as a tool for the best possible nursing care. Nevertheless, many nurses do not regularly participate in the evidence-based practice process. Barriers to participation include nurses' self-perceived ability in successfully fulfilling evidence-based practice-related tasks (self-efficacy) and their expectations of the positive outcomes of such tasks (outcome expectancy). To evaluate progress and provide feedback to professionals, monitoring the levels of self-efficacy and outcome expectancy with validated instruments is desirable. A comprehensive overview of the psychometric properties of such instruments is lacking. To determine the psychometric properties of instruments designed to measure nurses' self-efficacy and outcome expectancy in evidence-based practice. This systematic review was performed on studies reporting psychometric properties of instruments that measure self-efficacy and outcome expectancy in EBP. MEDLINE, EMBASE and CINAHL databases were searched up to March 2020. Studies that reported psychometric properties on eligible scales and studied nurses or other healthcare professionals were included. Psychometric properties included content validity, construct validity, reliability, and responsiveness. The COSMIN risk of bias checklist and criteria for good measurement properties were applied independently by two reviewers. This review is registered with PROSPERO (CRD42020183069). Eleven scales measuring self-efficacy or a similar construct and one scale measuring outcome expectancy were identified. The vast majority of the research focused on nurses. Internal consistency and structural validity were the most frequently reported properties, though the recommended confirmative factor analysis to verify the structural validity was rarely performed correctly. In addition, most studies that reported on construct validity did not hypothesise on the expected strength or direction of an effect before the data analysis. Responsiveness was not typically reported or was incorrectly studied. The included articles showed a high quality of evidence for four scales on structural validity and internal consistency. The Self-Efficacy in Evidence-Based Practice Activities scale showed the best content validity and was accompanied by an Outcome Expectations of Evidence-Based Practice scale. Both scales met the COSMIN standards for construct validity with high-quality evidence. In light of the evidence, the Self-Efficacy in Evidence-Based Practice Activities scale is considered promising, and along with the accompanying Outcome Expectations of Evidence-Based Practice scale, appears capable of accurately measuring both self-efficacy and outcome expectancy. The use of these scales is recommended, and further research should be conducted on the responsiveness of the scales.

Examining the quality of mobile-assisted, video-making task outcomes: The role of proficiency, narrative ability, digital literacy, and motivation

Although increasing evidence has demonstrated the benefits of mobile technology in diverse aspects of language learning, research on the use of mobiles in task-based instruction has been scarce. Particularly, there has been little research directly investigating predictors of the quality of mobile-assisted, video-making tasks. To fill the gap and contribute to the area of emerging technology-mediated, task-based language teaching, the current study examined predicting factors of the quality of digital-video-making task outcomes. Forty-eight Korean high school students completed a digital-video-making task using a mobile application called KineMaster. Students created a self-introduction storytelling video focusing on their experiences of success or failure in their life. To examine predicting factors (English writing proficiency, first language narrative ability, digital literacy, intrinsic and extrinsic motivation), multiple data sources were gathered: timed argumentative English essays and Korean writing samples on the same narrative topic, a digital literacy questionnaire, and a motivation survey. For data analyses, the quality of the digital-video-making task outcome was scored using an analytic rubric assessing the use of multi-modes, language use, and task fulfillment. Students’ English and Korean narrative essays were rated for English writing proficiency and first language narrative ability, respectively. Digital literacy and motivation questionnaires were analysed quantitatively, and the composite scores were included in statistical models. Multiple regression models were created to investigate which factors predicted the quality of the digital-video-making task outcome. The results showed that English writing proficiency and first language narrative ability significantly predicted the quality of language use and task fulfillment. The findings shed light on mobile-assisted task performance in foreign language classrooms.

A Pilot Event-Related Potentials Study on Mechanisms Underlying a tDCS-Enhanced Food-Specific Response Inhibition Task for Patients With Binge Eating Disorder.

Behavioural studies demonstrate alterations in cognitive functioning, particularly impaired response inhibition and increased attentional bias towards food in binge eating disorder (BED). This pilot study aimed to investigate the neurophysiological processing of a food-specific inhibition training combined with anodal transcranial direct current stimulation (tDCS) of the right dorsolateral prefrontal cortex (DLPFC) in 16 patients with BED (mean age = 38.6, mean BMI = 33.7 kg/m2). Patients performed a food-specific antisaccade task at baseline (T0) and in a cross-over design with verum vs. sham stimulation at T1 and T2. We investigated (i) event-related potentials (ERPs; N2, ERN and P3 amplitudes) while executing the task at baseline, (ii) whether baseline ERPs would predict task performance at T1 and T2 and (iii) associations between ERPs, eating disorder pathology and impulsivity at baseline. The mean amplitude of N2 was less pronounced in erroneous saccades (ES) than correct saccades (CS), whereas ERN and P3 mean amplitudes were more pronounced in ES. Moreover, the P3 mean amplitude of ES predicted the percentage of ES at both follow up-measurements irrespective of the applied stimulation (sham vs. verum). N2 in trials with correct saccades were negatively correlated with nonplanning trait impulsivity, while P3 in erroneous antisaccade trials was negatively correlated with food-related impulsivity. Overall, the findings of reduced ERN, enhanced P3 and N2 amplitude might be interpreted as difficulties in response inhibition towards food in individuals with BED. In particular, P3 predicts task outcome at follow-up and might represent a potential marker for inhibitory control processes.

Building energy consumption prediction for residential buildings using deep learning and other machine learning techniques

The high proportion of energy consumed in buildings has engendered the manifestation of many environmental problems which deploy adverse impacts on the existence of mankind. The prediction of building energy use is essentially proclaimed to be a method for energy conservation and improved decision-making towards decreasing energy usage. Also, the construction of energy efficient buildings will aid the reduction of total energy consumed in newly constructed buildings. Machine Learning (ML) method is recognised as the best suited approach for producing desired outcomes in prediction task. Hence, in several studies, ML has been applied in the field of energy consumption of operational building. However, there are not many studies investigating the suitability of ML methods for forecasting the potential building energy consumption at the early design phase to reduce the construction of more energy inefficient buildings. To address this gap, this paper presents the utilization of several machine learning techniques namely Artificial Neural Network (ANN), Gradient Boosting (GB), Deep Neural Network (DNN), Random Forest (RF), Stacking, K Nearest Neighbour (KNN), Support Vector Machine (SVM), Decision tree (DT) and Linear Regression (LR) for predicting annual building energy consumption using a large dataset of residential buildings. This study also examines the effect of the building clusters on the model performance. The novelty of this paper is to develop a model that enables designers input key features of a building design and forecast the annual average energy consumption at the early stages of development. This result reveals DNN as the most efficient predictive model for energy use at the early design phase and this presents a motivation for building designers to utilize it before construction to make informed decision, manage and optimize design.

Comparing the characteristics of EFL students’ multimodal composing and traditional monomodal writing: The case of a reading-to-write task

Although digital multimodal composing (DMC) is receiving increasing attention in language classrooms, the extent to which it contributes to students’ writing practices is controversial. In order to understand the affordances of DMC compared to traditional monomodal writing in school contexts, it is pertinent to compare DMC and traditional writing using academic integrated-skills tasks. The current study aims to investigate the relationship between the quality of Korean high school students’ multimodal composing and that of the same students’ traditional monomodal writing, as well as content and language alignment. Thirty-one Korean high school students carried out a summary-reflection task through DMC and traditional monomodal writing. After reading a short fable by Aesop, students summarized and reflected on the text. While students used only one mode in traditional writing (i.e. English text), they utilized multiple modes in DMC (e.g. pictures, movies). Students’ task outcomes were scored using analytic rubrics, and texts were coded in terms of the content and linguistic features students retrieved from the text (i.e. alignment) and their degree of reflection. The results showed that there were no statistically significant differences in the quality, content and language alignment, or amount of reflection in writing outcomes between students’ DMC and traditional monomodal writing.

Who Willed It?

To reduce frustration while performing no-risk tasks (e.g. in training and games) for BCI users, we propose increasing their perceived level of control through fabricated input - system-generated positive task outcomes. Two surrogate BCI studies injected fabricated input creating additional positive task outcomes to a 50% baseline. Users' perceived control increased significantly compared to the 50% baseline. In turn, frustration levels decreased. Fabricated input worked equally well in a game story context that provided an emotional stake in the protagonist's success and a simpler task lacking such incentives. People's number of input attempts during the tasks determined perceived control more than our controlled ratios of positive to negative task outcomes. Delays between users' input attempts and subsequent fabricated inputs further moderated their perceived control.

The effect of prenatal lithium exposure on the neuropsychological development of the child.

ObjectivesLithium is an effective treatment for bipolar disorder, also during pregnancy to prevent the recurrence of episodes in the perinatal period. Little is known about the neuropsychological development of lithium‐exposed offspring. The current study was designed to investigate neuropsychological functioning in lithium‐exposed children with the aim to provide further knowledge on the long‐term effects of lithium use during pregnancy.MethodsParticipants were offspring of women with a diagnosis of bipolar spectrum disorder, aged 6–14 years. In total, 99 children participated in the study, 56 were exposed to lithium in utero and 43 were not exposed to lithium. Neuropsychological tests were administered, including the Snijders‐Oomen Nonverbal Intelligence Test and the NEPSY‐II‐NL assessment. Linear and negative binomial regression models were used to investigate the association between prenatal lithium exposure and neuropsychological functioning. In secondary analyses, the association between lithium blood level during pregnancy and neuropsychological functioning was assessed. Additionally, norm scores and percentiles for task outcomes were calculated.ResultsLithium use during pregnancy was associated with the total number of mistakes made on the Auditory Attention task, but not statistically significant after full adjustment for potential confounding factors. No association between prenatal lithium exposure and IQ was found. Also, no relationship between lithium blood level during pregnancy and neuropsychological functioning was found after adjustment for potential confounders. Task outcomes in both groups were comparable to the general population.ConclusionIn this study, we found no evidence for significantly altered neuropsychological functioning of lithium‐exposed children at the age of 6–14 years, when compared to non‐lithium‐exposed controls.

Learning Outcomes during Information Search in Digital Archives

AbstractA museum's digital archive system gathers information about cultural heritage and makes it accessible to the public. In this study we clarify the extent to which search behaviors reflect task outcome and foster users’ knowledge of painting and calligraphy. Ten users participated who are special interest museum visitors. They joined in this evaluation of the Digital Archives of Chinese Painting and Calligraphy Search System (DA‐PCSS) of the National Palace Museum in Taiwan. Participants’ search activities and interactions with the DA‐PCSS were recorded in two simulated tasks. The results show that the high‐performance (HP) group who received high scores for their essays on the tasks formulated precise and relevant queries. Furthermore, the HP group were able to find information needed inside or outside the system to explore and synthesize the information, which was clearly reflected in their search move patterns, during the search process. Our results suggest that the criteria for learning at various stages of search suggested by Vakkari (2016) seem to validly reflect the quality of the search outcomes. In all, the results elucidate how the evaluated system supports users as they search for target items, as well as how learning occurs during the search process and in turn influences task outcomes.

Knowledge Work in the Library

AbstractLibrary staff are knowledge workers (KWs), but it is not entirely clear what this work looks like, how it is allocated, what outcomes are associated with it, or how the pandemic influenced this work. This poster outlines an agenda to study the KW of paraprofessional and professional library staff. Learning more about the form, context, and authority of KW in the library—as well as the personal and task outcomes of this work—will better position LIS to prepare future librarians and guide the development of equitable workplaces that support the needs of library staff.

Global, Low-Amplitude Cortical State Predicts Response Outcomes in a Selective Detection Task in Mice.

Spontaneous neuronal activity strongly impacts stimulus encoding and behavioral responses. We sought to determine the effects of neocortical prestimulus activity on stimulus detection. We trained mice in a selective whisker detection task, in which they learned to respond (lick) to target stimuli in one whisker field and ignore distractor stimuli in the contralateral whisker field. During expert task performance, we used widefield Ca2+ imaging to assess prestimulus and post-stimulus neuronal activity broadly across frontal and parietal cortices. We found that lower prestimulus activity correlated with enhanced stimulus detection: lower prestimulus activity predicted response versus no response outcomes and faster reaction times. The activity predictive of trial outcome was distributed through dorsal neocortex, rather than being restricted to whisker or licking regions. Using principal component analysis, we demonstrate that response trials are associated with a distinct and less variable prestimulus neuronal subspace. For single units, prestimulus choice probability was weak yet distributed broadly, with lower than chance choice probability correlating with stronger sensory and motor encoding. These findings support low amplitude and low variability as an optimal prestimulus cortical state for stimulus detection that presents globally and predicts response outcomes for both target and distractor stimuli.

Deep neural network ensembles for remote sensing land cover and land use classification

ABSTRACT With the advancement of satellite technology, a considerable amount of very high-resolution imagery has become available to be used for the Land Cover and Land Use (LCLU) classification task aiming to categorize remotely sensed images based on their semantic content. Recently, Deep Neural Networks (DNNs) have been widely used for different applications in the field of remote sensing and they have profound impacts; however, improvement of the generalizability and robustness of the DNNs needs to be progressed further to achieve higher accuracy for a variety of sensing geometries and categories. We address this problem by deploying three different Deep Neural Network Ensemble (DNNE) methods and creating a comparative analysis for the LCLU classification task. DNNE enables improvement of the performance of DNNs by ensuring the diversity of the models that are combined. Thus, enhances the generalizability of the models and produces more robust and generalizable outcomes for LCLU classification tasks. The experimental results on NWPU-RESISC45 and AID datasets demonstrate that utilizing the aggregated information from multiple DNNs leads to an increase in classification performance, achieves state-of-the-art, and promotes researchers to make use of DNNE.

Oxytocin reduces romantic rejection-induced pain in online speed-dating as revealed by decreased frontal-midline theta oscillations

BackgroundRomantic rejection is an emotionally distressful experience profoundly affecting life, possibly leading to mental illness or suicide. Oxytocin (OT) is a neuropeptide widely implicated in reducing physical pain and negative emotions; however, whether OT has an effect on reducing intense social pain (e.g., romantic rejection) remains unknown. Here, we tested the effect of OT on social pain and investigated its role in the outcome evaluation phase of social decision-making. MethodsElectroencephalographic recordings were obtained between August 2nd and October 20th, 2020 in Shenzhen University from 61 healthy participants in a double-blind, placebo-controlled study with a between-subject design. We defined frontal-midline theta oscillation as a neural signature of social pain and assessed self-reported pleasantness ratings for four possible romantic outcomes in an online speed-dating task. ResultsIn the placebo group, greater theta power was induced by romantic rejection, being associated with rejection distress. This pattern was not observed in the OT group, where romantic rejection induced significantly decreased theta power compared to the placebo group; in the OT group, there was no association between theta power and rejection distress. Furthermore, the frontal-midline theta oscillation could be source-localized to brain areas overlapping with the physical-social pain matrix (i.e., somatosensory cortex, anterior cingulate cortex, frontal pole, and supplementary motor area). ConclusionsOT relieves social pain caused by romantic rejection, reflected in decreased frontal-midline theta oscillations and a diminished connection between theta power and rejection distress. These findings can help understand and harness OT’s pain-reducing effect on social pain.

If You’re Happy and You Know it Stay Alert: The Effects of Lighting on Vigilance Performance and Affective State

Vigilance, or sustained attention tasks involve detecting critical signals, embedded amid more frequent neutral signals, over an extended period of time. A decline in performance, engagement, and arousal over time, as well as high workload and stress, are common outcomes of such tasks. Exposure to broad-spectrum or short wavelength bright light has been found to positively impact alertness, speed of information processing, and mood, but has not been extensively explored in the vigilance domain. The present study explored whether a light therapy lamp could mitigate the negative vigilance outcomes found in both performance and affective state. Results indicated that the therapy light did not prevent a decline in detection of critical signals over time, nor significantly impact workload, sleepiness, or subjective stress state compared to a dim light condition. However, mood questionnaire results suggest that lighting may impact separate constructs of arousal and tiredness, warranting further research.