Line Spacing in Mondrian Paintings and Computer-Generated Modifications

Students compared computer-generated pictures of which I had line spacing and orientation proportional to that in a Mondrian picture (Mondrian-like), and 9 had divergent line spacing (divergently spaced). Preference was above average for the Mondrian-like picture compared with that for the divergently spaced pictures. However, participants did not prefer the Mondrian-like picture to divergently spaced pictures that were preselected as aesthetically pleasing by other participants. The results of the present experiments suggest that a computer algorithm can be developed to modify a picture in a way that is comparable with the way in which humans modify a picture to obtain a preferred picture. If aesthetic appeal is used in the storage and retrieval of visual information, then the algorithm could provide a better understanding of human perceptual processes. The results are related to consistency of aesthetic judgments across participants, levels of processing, and apparent contrast effects.     

Saving-enhanced performance: saving items after study boosts performance in subsequent cognitively demanding tasks

ABSTRACT

By saving and storing information, we use digital devices as our external memory stores, being able to offload and temporarily forget saved contents. Storm and Stone [2015. Saving-enhanced memory: The benefits of saving on the learning and remembering of new information. Psychological Science, 26(2), 182–188] showed that such memory offloading can be beneficial for subsequent memory performance. Saving already encoded items enhanced recall of items encoded after saving. In the present study, we did not only replicate saving-enhanced memory but found saving-enhanced performance for unrelated cognitively demanding tasks. Participants solved more modular arithmetic problems when they were able to offload a previously studied word list, compared to trials without the possibility to offload. Thus, saving of recently encoded items entailed a general benefit on subsequent cognitive performance, beyond encoding and retrieving word lists. We assume that offloading frees participants from the need to maintain offloaded items. Gained resources can then be used for subsequent tasks with high cognitive demands. In a nutshell, memory offloading can help to reduce the amount of information that has to be processed at a given time, efficiently delegating our limited cognitive resources to the most relevant tasks at hand while currently irrelevant information are safely stored outside our own memory.     

NiTi superelasticity via atomistic simulations

The NiTi shape memory alloys (SMAs) are promising candidates for the next-generation multifunctional materials. These materials are superelastic i.e. they can fully recover their original shape even after fairly large inelastic deformations once the mechanical forces are removed. The superelasticity reportedly stems from atomic scale crystal transformations. However, very few computer simulations have emerged, elucidating the transformation mechanisms at the discrete lattice level, which underlie the extraordinary strain recoverability. Here, we conduct breakthrough molecular dynamics modelling on the superelastic behaviour of the NiTi single crystals, and unravel the atomistic genesis thereof. The deformation recovery is clearly traced to the reversible transformation between austenite and martensite crystals through simulations. We examine the mechanistic origin of the tension–compression asymmetries and the effects of pressure/temperature/strain rate variation isolatedly. Hence, this work essentially brings a new dimension to probing the NiTi performance based on the mesoscale physics under more complicated thermo-mechanical loading scenarios.     

Effect of mindfulness meditation on brain–computer interface performance

Electroencephalogram based brain–computer interfaces (BCIs) enable stroke and motor neuron disease patients to communicate and control devices. Mindfulness meditation has been claimed to enhance metacognitive regulation. The current study explores whether mindfulness meditation training can thus improve the performance of BCI users. To eliminate the possibility of expectation of improvement influencing the results, we introduced a music training condition. A norming study found that both meditation and music interventions elicited clear expectations for improvement on the BCI task, with the strength of expectation being closely matched. In the main 12 week intervention study, seventy-six healthy volunteers were randomly assigned to three groups: a meditation training group; a music training group; and a no treatment control group. The mindfulness meditation training group obtained a significantly higher BCI accuracy compared to both the music training and no-treatment control groups after the intervention, indicating effects of meditation above and beyond expectancy effects.     

Using the Networked Fire Chief for Ego-Depletion Research: Measuring Dynamic Decision-Making Effort and Performance

This study replicated ego-depletion predictions from the self-control literature in a computer simulation task that requires ongoing decision-making in relation to constantly changing environmental information: the Network Fire Chief (NFC). Ego-depletion led to decreased self-regulatory effort, but not performance, on the NFC task. These effects were also buffered by task enjoyment so that individuals who enjoyed the dynamic decision-making task did not experience ego-depletion effects. These findings confirm that past ego-depletion effects on decision-making are not limited to static or isolated decision-making tasks and can be extended to dynamic, naturalistic decision-making processes more common to naturalistic settings. Furthermore, the NFC simulation provides a methodological mechanism for independently measuring effort and performance when studying ego-depletion.     

Interactive computer training to teach discrete‐trial instruction to undergraduates and special educators in Brazil: A replication and extension

Discrete‐trial instruction (DTI) is a behavioral method of teaching young children with autism spectrum disorders (ASD) that has received a significant amount of research support. Because of a lack of qualified trainers in many areas of the world, researchers have recently begun to investigate alternative methods of training professionals to implement behavioral teaching procedures. One promising training method is interactive computer training, in which slides with recorded narration, video modeling, and embedded evaluation of content knowledge are used to teach a skill. In the present study, the effectiveness of interactive computer training developed by Pollard, Higbee, Akers, and Brodhead (2014), translated into Brazilian Portuguese, was evaluated with 4 university students (Study 1) and 4 special education teachers (Study 2). We evaluated the effectiveness of training on DTI skills during role‐plays with research assistants (Study 1) and during DTI sessions with young children with ASD (Studies 1 and 2) using a multiple baseline design. All participants acquired DTI skills after interactive computer training, although 5 of 8 participants required some form of feedback to reach proficiency. Responding generalized to untaught teaching programs for all participants. We evaluated maintenance with the teachers in Study 2, and DTI skills were maintained with 3 of 4 participants.     

Percentile Norms and Accompanying Interval Estimates from an Australian General Adult Population Sample for Self‐Report Mood Scales (BAI,BDI, CRSD,CES‐D,DASS, DASS‐21, STAI‐X,STAI‐Y,SRDS, and SRAS)

Despite their widespread use, many self‐report mood scales have very limited normative data. To rectify this, Crawford et al. have recently provided percentile norms for a series of self‐report scales. The present study aimed to extend the work of Crawford et al. by providing percentile norms for additional mood scales based on samples drawn from the general Australian adult population. Participants completed a series of self‐report mood scales. The resultant normative data were incorporated into a computer programme that provides point and interval estimates of the percentile ranks corresponding to raw scores for each of the scales. The programme can be used to obtain point and interval estimates of the percentile ranks of an individual's raw scores on the Beck Anxiety Inventory, the Beck Depression Inventory, the Carroll Rating Scale for Depression, the Centre for Epidemiological Studies Rating Scale for Depression, the Depression, Anxiety, and Stress Scales (DASS), the short‐form version of the DASS (DASS‐21), the Self‐rating Scale for Anxiety, the Self‐rating Scale for Depression, the State–Trait Anxiety Inventory (STAI), form X, and the STAI, form Y, based on normative sample sizes ranging from 497 to 769. The interval estimates can be obtained using either classical or Bayesian methods as preferred. The programme (which can be downloaded at http://www.abdn.ac.uk/~psy086/dept/MoodScore_Aus.htm ) provides a convenient and reliable means of obtaining the percentile ranks of individuals' raw scores on self‐report mood scales.     

Sequential dependencies in driving

The effect of recent experience on current behavior has been studied extensively in simple laboratory tasks. We explore the nature of sequential effects in the more naturalistic setting of automobile driving. Driving is a safety-critical task in which delayed response times may have severe consequences. Using a realistic driving simulator, we find significant sequential effects in pedal-press response times that depend on the history of recent stimuli and responses. Response times are slowed up to 100 ms in particular cases, a delay that has dangerous practical consequences. Further, we observe a significant number of history-related pedal misapplications, which have recently been noted as a cause for concern in the automotive safety community. By anticipating these consequences of sequential context, driver assistance systems could mitigate the effects of performance degradations and thus critically improve driver safety.