False memory guided eye movements::insights from a DRM-Saccade paradigm

The Deese-Roediger and McDermott (DRM) paradigm and visually guided saccade tasks are both prominent research tools in their own right. This study introduces a novel DRM-Saccade paradigm, merging both methodologies. We used rule-based saccadic eye movements whereby participants were presented with items at test and were asked to make a saccade to the left or right of the item to denote a recognition or non-recognition decision. We measured old/new recognition decisions and saccadic latencies. Experiment 1 used a pro/anti saccade task to a single target. We found slower saccadic latencies for correct rejection of critical lures, but no latency difference between correct recognition of studied items and false recognition of critical lures. Experiment 2 used a two-target saccade task and also measured corrective saccades. Findings corroborated those from Experiment 1. Participants adjusted their initial decisions to increase accurate recognition of studied items and rejection of unrelated lures but there were no such corrections for critical lures. We argue that rapid saccades indicate cognitive processing driven by familiarity thresholds. These occur before slower source-monitoring is able to process any conflict. The DRM-saccade task could effectively track real-time cognitive resource use during recognition decisions

Automating the detection of breaks in continuous user experience with computer games

This paper describes an approach towards automating the identification of design problems with three-dimensional mediated or gaming environments through the capture and query of user-player behavior represented as a data schema that we have termed “immersidata”. Analysis of data from a study of an educational computer game that we are developing shows that this approach is an effective way to pinpoint potential usability or design problems occurring in unfolding situational and episodic events that can interrupt or break user experience. As well as informing redesign, a key advantage of this cost-effective approach is that it considerably reduces the time evaluators spend analyzing hours of videoed study material. Categories & Subject Descriptors

False memory-guided eye movements: insights from a DRM-Saccade paradigm

The Deese-Roediger and McDermott (DRM) paradigm and visually guided saccade tasks are both prominent research tools in their own right. This study introduces a novel DRM-Saccade paradigm, merging both methodologies. We used rule-based saccadic eye movements whereby participants were presented with items at test and were asked to make a saccade to the left or right of the item to denote a recognition or non-recognition decision. We measured old/new recognition decisions and saccadic latencies. Experiment 1 used a pro/anti saccade task to a single target. We found slower saccadic latencies for correct rejection of critical lures, but no latency difference between correct recognition of studied items and false recognition of critical lures. Experiment 2 used a two-target saccade task and also measured corrective saccades. Findings corroborated those from Experiment 1. Participants adjusted their initial decisions to increase accurate recognition of studied items and rejection of unrelated lures but there were no such corrections for critical lures. We argue that rapid saccades indicate cognitive processing driven by familiarity thresholds. These occur before slower source-monitoring is able to process any conflict. The DRM-Saccade task could effectively track real-time cognitive resource use during recognition decisions

Screen Time Weight-loss Intervention Targeting Children at Home (SWITCH): process evaluation of a randomised controlled trial intervention

Abstract Background The Screen Time Weight-loss Intervention Targeting Children at Home (SWITCH) trial tested a family intervention to reduce screen-based sedentary behaviour in overweight children. The trial found no significant effect of the intervention on children’s screen-based sedentary behaviour. To explore these null findings, we conducted a pre-planned process evaluation, focussing on intervention delivery and uptake. Methods SWITCH was a randomised controlled trial of a 6-month family intervention to reduce screen time in overweight children aged 9–12 years (n = 251). Community workers met with each child’s primary caregiver to deliver the intervention content. Community workers underwent standard training and were monitored once by a member of the research team to assess intervention delivery. The primary caregiver implemented the intervention with their child, and self-reported intervention use at 3 and 6 months. An exploratory analysis determined whether child outcomes at 6 months varied by primary caregiver use of the intervention. Results Monitoring indicated that community workers delivered all core intervention components to primary caregivers. However, two thirds of primary caregivers reported using any intervention component “sometimes” or less frequently at both time points, suggesting that intervention uptake was poor. Additionally, analyses indicated no effect of primary caregiver intervention use on child outcomes at 6 months, suggesting the intervention itself lacked efficacy. Conclusions Poor uptake, and the efficacy of the intervention itself, may have played a role in the null findings of the SWITCH trial on health behaviour and body composition. Trial registration The trial was registered in the Australian and New Zealand Clinical Trials Registry (no. ACTRN12611000164998 ); registration date: 10/02/2011

Constraints on the Size of Extra Dimensions from the Orbital Evolution of Black-Hole X-Ray Binaries

One of the plausible unification schemes in physics considers the observable universe to be a 4-dimensional surface (the "brane") embedded in a higher-dimensional curved spacetime (the "bulk"). In such braneworld gravity models with infinitely large extra dimensions, black holes evaporate fast through the emission of the additional gravitational degrees of freedom, resulting in lifetimes of stellar-mass black holes that are significantly smaller than the Hubble time. We show that the predicted evaporation rate leads to a change in the orbital period of X-ray binaries harboring black holes that is observable with current instruments. We obtain an upper limit on the rate of change of the orbital period of the binary A0620-00 and use it to constrain the asymptotic curvature radius of the extra dimension to a value comparable to the one obtained by table-top experiments. Furthermore we argue that any measurement of a period increase for low-mass X-ray binaries with a high mass ratio is evidence for new physics beyond general relativity and the standard model.Comment: accepted for publication in ApJ, typo correcte

Screen Time Weight-loss Intervention Targeting Children at Home (SWITCH): process evaluation of a randomised controlled trial intervention

Abstract Background The Screen Time Weight-loss Intervention Targeting Children at Home (SWITCH) trial tested a family intervention to reduce screen-based sedentary behaviour in overweight children. The trial found no significant effect of the intervention on children’s screen-based sedentary behaviour. To explore these null findings, we conducted a pre-planned process evaluation, focussing on intervention delivery and uptake. Methods SWITCH was a randomised controlled trial of a 6-month family intervention to reduce screen time in overweight children aged 9–12 years (n = 251). Community workers met with each child’s primary caregiver to deliver the intervention content. Community workers underwent standard training and were monitored once by a member of the research team to assess intervention delivery. The primary caregiver implemented the intervention with their child, and self-reported intervention use at 3 and 6 months. An exploratory analysis determined whether child outcomes at 6 months varied by primary caregiver use of the intervention. Results Monitoring indicated that community workers delivered all core intervention components to primary caregivers. However, two thirds of primary caregivers reported using any intervention component “sometimes” or less frequently at both time points, suggesting that intervention uptake was poor. Additionally, analyses indicated no effect of primary caregiver intervention use on child outcomes at 6 months, suggesting the intervention itself lacked efficacy. Conclusions Poor uptake, and the efficacy of the intervention itself, may have played a role in the null findings of the SWITCH trial on health behaviour and body composition. Trial registration The trial was registered in the Australian and New Zealand Clinical Trials Registry (no. ACTRN12611000164998 ); registration date: 10/02/2011

Scholarly insight 2016: a Data wrangler perspective

We are pleased to offer you our first Scholarly insight 2016: a Data wrangler perspective. The OU is going through several fundamental changes, whereby strategic, pedagogical informed research and insight what drives student learning and academic performance is essential. Making sense of Big Data in particular can be a challenge, especially when data is stored at different data warehouses and require advanced statistical skills to interpret complex patterns of data. In 2012 the Open University UK (OU) instigated a Data Wrangling initiative, which provided every Faculty with a dedicated academic with expertise in data analysis and whose task is to provide strategic, pedagogical, and sense-making advice to staff and senior management. Given substantial changes within the OU over the last 18 months (e.g., new Faculty structure, real-time dashboards, increased reliance on analytics), an extensive discussion with various stakeholders within the Faculties was initiated to make sure that data wranglers provide effective pedagogical insight based upon best practice and evidence-based analyses and research (see new Data wrangler structure). Demand for actionable insights to help support OU staff and senior management in particular with module and qualification design is currently strong (Miller & Mork, 2013), especially a desire for evidence of impact of “what works” (Ferguson, Brasher, et al., 2016). Learning analytics are now increasingly taken into consideration when designing, writing and revising modules, and in the evaluation of specific teaching approaches and technologies (Rienties, Boroowa, et al., 2016). A range of data interrogation and visualization tools developed by the OU supports this (Calvert, 2014; Toetenel & Rienties, 2016b). With the new ways of working with Data Wrangling, first we have provided our basic statistical analyses in form of our Key Metrics report. Second, from January 2017 onwards we will focus again on dealing with bespoke requests from Faculties, and where possible share the insights across all Schools and Faculties. Third, this Scholarly insight has a different purpose to previous Data wrangler work, namely we aim to provide state-of-the-art and forward looking insights into what drives our students and staff in terms of learning and learning success. Based upon consultation with the Faculties, seven key cross-Faculty themes were identified that influence our students’ learning experiences, academic performance, and retention. The first five chapters focus on how the OU designs modules, formative and summative assessments and feedback, helps students from informal to formal learning, and how these learning designs influence student satisfaction. All five chapters indicate that the way we design our modules fundamentally influences student satisfaction, and perhaps more importantly academic retention. Clear guidelines and good-reads are provided for how module teams, ALs, and others can improve our focus on Students First. In Chapter 6-7, we specifically address how individual student demographics (e.g., age, ethnicity, prior education) and accessibility in particular influence the students’ learning journeys, with concrete suggestions how to support our diverse groups of students. Note that each chapter can be read independently and in any particular order. We are looking forward to your feedback

Future Directions for Whole Atmosphere Modeling:Developments in the Context of Space Weather

Coupled Sun‐to‐Earth models represent a key part of the future development of space weather forecasting. With respect to predicting the state of the thermosphere and ionosphere, there has been a recent paradigm shift; it is now clear that any self‐respecting model of this region needs to include some representation of forcing from the lower atmosphere, as well as solar and geomagnetic forcing. Here we assess existing modeling capability and set out a roadmap for the important next steps needed to ensure further advances. These steps include a model verification strategy, analysis of the impact of non‐hydrostatic dynamical cores, and a cost‐benefit analysis of model chemistry for weather and climate applications