Laboratory vs. naturalistic prospective memory task predictions: young adults are overconfident outside of the laboratory

ABSTRACT

This study investigated whether individuals can predict their future prospective memory (PM) performance in a lab-based task and in a naturalistic task. Metacognitive awareness was assessed by asking participants to give judgments-of-learning (JOLs) on an item-level for the prospective (that something has to be done) and retrospective (what to do) PM component. In addition, to explore whether giving predictions influences PM performance, we compared a control group (without predictions) to a prediction group. Results revealed that giving predictions did not change PM performance. Moreover, participants were underconfident in their PM performance in the lab-based task, while they were overconfident in the naturalistic task. In addition, item-level JOLs indicated that they were inaccurate in predicting what items they will recall or not, but only for the prospective component of the PM task. As for the retrospective component, they were equally accurate in both task settings. This study suggests a dissociation of metacognitive awareness for PM according to both task setting and processing component.     

Eye blink detection for different driver states in conditionally automated driving and manual driving using EOG and a driver camera

In this article, we examine the performance of different eye blink detection algorithms under various constraints. The goal of the present study was to evaluate the performance of an electrooculogram- and camera-based blink detection process in both manually and conditionally automated driving phases. A further comparison between alert and drowsy drivers was performed in order to evaluate the impact of drowsiness on the performance of blink detection algorithms in both driving modes. Data snippets from 14 monotonous manually driven sessions (mean 2 h 46 min) and 16 monotonous conditionally automated driven sessions (mean 2 h 45 min) were used. In addition to comparing two data-sampling frequencies for the electrooculogram measures (50 vs. 25 Hz) and four different signal-processing algorithms for the camera videos, we compared the blink detection performance of 24 reference groups. The analysis of the videos was based on very detailed definitions of eyelid closure events. The correct detection rates for the alert and manual driving phases (maximum 94%) decreased significantly in the drowsy (minus 2% or more) and conditionally automated (minus 9% or more) phases. Blinking behavior is therefore significantly impacted by drowsiness as well as by automated driving, resulting in less accurate blink detection.     

Academic Misconduct in Nigerian Medical Schools-A Report from Focus Group Discussions among House Officers

Concern is growing as research continues to find evidence of academic misconduct among medical students. There is, however, paucity of information on this issue among medical students and medical graduates in Africa. We determined the perceptions and attitude of house officers on academic misconduct within Nigerian medical schools. We conducted 7 focus group discussions (FGDs) among pre-registration house-officers (PRHOs) working in a Nigerian Teaching hospital between October and November 2013. A FGD guide containing 7 broad questions related to their perception and attitude on academic misconduct was employed. Ethnographic content analysis and manual coding were adopted in identifying themes, issues and representative quotations. A total of 58 participants out of an eligible pool of 76 PRHOs were recruited. All the groups associated academic misconduct chiefly with cheating in examinations, and perceived it as a commonplace problem. “It is a part of school life”, admitted one PRHO. Copying during exam appeared to be the commonest form of cheating. Another respondent opined that “The lecturers should be more concerned with helping students understand better. They should not make passing an exam a do-or-die affair.” The perception and attitudes towards academic misconduct may be a reflection of the prevailing moral decline in the contemporary Nigerian society. Underlying the reasons adduced by the participants for getting involved in academic misconduct is the fear of failure in examinations. Apart from consolidating formal and informal medical ethics education, the medical schools should ensure that the opportunities and pressures to indulge in academic misconduct are minimized.     

Different contexts change the impression of animacy

The aim of this research was to explore the effect of different spatiotemporal contexts on the perceptual saliency of animacy, and the extent of the relationship between animacy and other related properties such as emotions and intentionality. Paired-comparisons and ratings were used to compare the impressions of animacy elicited by a small square moving on the screen, either alone or in the context of a second square. The context element was either static or moving showing an animate-like or a physical-like trajectory, and the target object moved either toward it or away from it. The movement of the target could also include animacy cues (caterpillar-like expanding/contracting phases). To determine the effect of different contexts on the emergence of emotions and intentions, we also recorded and analysed the phenomenological reports of participants. The results show that the context significantly influences the perception of animacy, which is stronger in dynamic contexts than in static ones, and also when the target is moving away from the context element than when it is approaching it. The free reports reveal different proportions in emotional or intentional attributions in the different conditions: in particular, the "moving away" condition is related to negative emotions, while the "approaching" condition evokes positive emotions. Overall, the results suggest that animacy is a graded concept that can be articulated in more general characteristics, like simple aliveness, and more specific ones, like intentions or emotions, and that the spatiotemporal contingencies of the context play a crucial role in making them evident.     

Perception of Candomble Practitioners About Herbal Medicine and Health Promotion in Ceará, Brazil

Candomble, a Brazilian religion of African origin that worships Orishas, promotes “healing” assistance during its worship rituals using therapy with plants and beliefs. From its ancestry tradition, the respect and beware with nature are expressed. Therefore, the aim of this study is to investigate the perception of ethnoecology and health promotion among Candomble practitioners from a Candomble temple in the state of Ceará, Brazil. The ethnography was designed to allow greater immersion into the current mystique. This immersion results in the breaking of existing prejudices and admiration for their worldview. Thus, it can be observed that people seek Candomble to get rid of “bad” health difficulties, such as insomnia, depression, eyesight problems among others, which are commonly treated with herbal preparations, baths, and teas, using plants native to the region; however, their indications are not always in accordance with scientific evidence. In parallel with biomedicine, their hospitable and healthcare practices are considered by most as the equivalent to traditional healthcare actions, but greater recognition of biomedicine is necessary. Based on this perspective, the use of native plants in Candomble is examples of memory, hospitality, and humanization for the community wellness.     

Automated Item Generation with Recurrent Neural Networks

Utilizing technology for automated item generation is not a new idea. However, test items used in commercial testing programs or in research are still predominantly written by humans, in most cases by content experts or professional item writers. Human experts are a limited resource and testing agencies incur high costs in the process of continuous renewal of item banks to sustain testing programs. Using algorithms instead holds the promise of providing unlimited resources for this crucial part of assessment development. The approach presented here deviates in several ways from previous attempts to solve this problem. In the past, automatic item generation relied either on generating clones of narrowly defined item types such as those found in language free intelligence tests (e.g., Raven’s progressive matrices) or on an extensive analysis of task components and derivation of schemata to produce items with pre-specified variability that are hoped to have predictable levels of difficulty. It is somewhat unlikely that researchers utilizing these previous approaches would look at the proposed approach with favor; however, recent applications of machine learning show success in solving tasks that seemed impossible for machines not too long ago. The proposed approach uses deep learning to implement probabilistic language models, not unlike what Google brain and Amazon Alexa use for language processing and generation.     

Cyber Victimization and Internalizing Difficulties: The Mediating Roles of Coping Self-Efficacy and Emotion Dysregulation

Cyber victimization has consistently been associated with internalizing difficulties in adolescents. However, the underlying psychological mechanisms linking this relationship have not been adequately examined. The present study aimed to investigate the mediational roles of coping self-efficacy and emotion dysregulation in the relationships between cyber victimization with depression and social anxiety. Participants were 459 students (199 girls) from independent middle-class schools in grades 8 (M _age ?=?13 years 9 months) and 10 (M _age ?=?15 years 7 months). They completed a self-report questionnaire about cyberbullying participation, internalizing symptoms, coping self-efficacy, and emotion dysregulation. Structural equation modeling revealed that most domains of coping self-efficacy and emotion dysregulation partially mediated the relationship between cyber victimization and depression, and fully mediated the relationship between cyber victimization and social anxiety. The results highlight the importance of targeting these mediating factors in intervention programs to reduce the negative impact of cyber victimization on adolescents.     

Counterpossibles in Science: The Case of Relative Computability

I develop a theory of counterfactuals about relative computability, i.e. counterfactuals such as

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