Attractive Force Estimation of a Magnetic Adsorption Unit for Inspection UAVs

This paper presents an attractive force estimation system and an automatic activation system for an electropermanent magnet (EPM) for an inspection UAV. Adsorption to infrastructures for inspection at a distance is extremely difficult to perform safely because the operator cannot detect the state of adsorption of the drone equipped with a magnetic adsorption device. Therefore, in this paper, we clarify the relationship between the magnetic flux density and attractive force of the EPM through experiments, and develop an estimation algorithm for the attractive force based on the results. An automatic activation system, using the induced voltage in the coil when the EPM approaches the magnetic substance, is developed and mounted on a quadrotor for a flight experiment along with the estimation system for the attractive force. The developed system is verified using flight and adsorption experiments on the quadrotor.

The limits of automatic sensorimotor processing during word processing: investigations with repeated linguistic experience, memory consolidation during sleep, and rich linguistic learning contexts

While a number of studies have repeatedly demonstrated an automatic activation of sensorimotor experience during language processing in the form of action-congruency effects, as predicted by theories of grounded cognition, more recent research has not found these effects for words that were just learned from linguistic input alone, without sensorimotor experience with their referents. In the present study, we investigate whether this absence of effects can be attributed to a lack of repeated experience and consolidation of the associations between words and sensorimotor experience in memory. To address these issues, we conducted four experiments in which (1 and 2) participants engaged in two separate learning phases in which they learned novel words from language alone, with an intervening period of memory-consolidating sleep, and (3 and 4) we employed familiar words whose referents speakers have no direct experience with (such as plankton). However, we again did not observe action-congruency effects in subsequent test phases in any of the experiments. This indicates that direct sensorimotor experience with word referents is a necessary requirement for automatic sensorimotor activation during word processing.

The limits of automatic sensorimotor processing during word processing: Investigations with repeated linguistic experience, memory consolidation during sleep, and rich linguistic learning contexts

While a number of studies have repeatedly demonstrated an automatic activation of sensorimotor experience during language processing in the form of action-congruency effects, as predicted by theories of grounded cognition, more recent research has not found these effects for words that were just learned from linguistic input alone, without sensorimotor experience with their referents. In the present study, we investigate whether this absence of effects can be attributed to a lack of repeated experience and consolidation of the associations between words and sensorimotor experience in memory. To address these issues, we conducted four experiments in which (1 and 2) participants engaged in two separate learning phases in which they learned novel words from language alone, with an intervening period of memory-consolidating sleep, and (3 and 4) we employed familiar words whose referents speakers have no direct experience with (such as plankton). However, we again did not observe action-congruency effects in subsequent test phases in any of the experiments. This indicates that direct sensorimotor experience with word referents is a necessary requirement for automatic sensorimotor activation during word processing.

A Pilot Study on Approach Bias Modification in Smoking Cessation: Activating Personalized Alternative Activities for Smoking in the Context of Increased Craving

Background The act of smoking has been associated with the automatic activation of approach biases towards smoking-related stimuli. However, previous research has produced mixed findings when smokers are trained to avoid such smoking-related stimuli through the application of Approach Bias Modification (ApBM). As such, this study aimed to test an improved ApBM (ApBM +), where smokers were trained to approach personalized alternative activities for smoking in the context of increased craving, in addition to training smoking-avoidance responses. Methods Sixty-seven daily smokers motivated to quit (M age = 29.27, 58.2% female) were randomly assigned to seven sessions of either ApBM + (n = 26), standard-ApBM (n = 19), or sham-ApBM (n = 22), after a brief motivational smoking intervention. Primary outcomes of approach biases for smoking and for alternative activities and secondary outcomes of smoking-related behaviors were assessed at pre-test, post-test, and 1-month follow-up. Results Overall, no group differences by condition were demonstrated in changing approach biases or smoking-related behaviors at post-test and 1-month follow-up. A trend level indication for differences in changes of smoking-approach biases between sham-ApBM and ApBM + for relatively heavy smokers was found at post-test. This was primarily driven by a significant increase in smoking-approach biases within the sham-ApBM condition and a trend decrease in smoking-approach biases within the ApBM + condition. Conclusions Our findings did not provide support for the current ApBM + concerning improved effects across the whole sample. Diverging training effects on approach biases for smoking in relatively heavy smokers warrants further research, for which we provide some suggestions.

Criterion Validity of the Implicit Positive and Negative Affect Test: Prediction of Facial Affect Perception

This study focused on the criterion-related validity of the Implicit Positive and Negative Affect Test (IPANAT). The IPANAT is thought to be a measure of automatic activation of cognitive representations of affects. In this study, it was investigated whether implicit affect scores differentially predict ratings of facial emotions over and above explicit affectivity. Ninety-six young female participants completed the IPANAT, the Positive and Negative Affect Schedule (PANAS) as an explicit measure of state and trait affectivity, and a task for the perception of facial emotions. Implicit negative affect predicted the perception of negative but not positive facial emotions, whereas implicit positive affect predicted the perception of positive but not negative facial emotions. The observed double-dissociation in the correlational pattern strongly supports the validity of the IPANAT as a measure of implicit affectivity and is indicative of the orthogonality and thus functional distinctness of the two affect dimensions of the IPANAT. Moreover, such affect-congruent correlations were absent for explicit affect scales, which additionally supports the incremental validity of the IPANAT.

Between automatic and control processes: How relationships between problem elements interact to facilitate or impede insight

Solving a problem requires relating the pieces of information available to each other and to the solution. We investigated how the strength of these relationships determines the likelihood of solving insight tasks based on remote associates. In these tasks, the solver is provided with several cues (e.g. drop, coat, summer) and has to find the solution that matches those cues (e.g., rain). We measured the semantic similarity between the cues and the solution (cue-solution similarity) as well as between cues (cue-cue similarity). We assume those relationships modulate two basic processes underlying insight problem solving. First, there is an automatic activation process whereby conceptual activation spreads across a semantic network from each cue node to their associated nodes, potentially reaching the node of the solution. Thus, in general, the higher cue-solution similarity, the more likely the solution will be found (Prediction1). Second, there is a controlled search process focused on an area in semantic space whose radius depends on competing cue-cue similarity. High cue-cue similarity will bias a search for the solution close to the provided cues because the associated nodes shared by both cues are highly co-activated. Therefore, high cue-cue similarity will have a beneficial effect when the cue-solution similarity is high but a detrimental effect when cue-solution similarity is low (Prediction2). Our two predictions were confirmed using both verbal and pictorial remote association tasks, supporting the view that insight is dependent on meaningful relationships between cues and solutions, and clarify the mechanisms of insight problem solving in remote associates.

Eye-tracking as a window into assembled phonology in native and non-native reading

The past 30 years of reading research has confirmed the importance of bottom-up processing. Rather than a psycholinguistic guessing game (Goodman, 1967), reading is dependent on rapid, accurate recognition of written forms. In fluent first language (L1) readers, this is seen in the automatic activation of a word’s phonological form, impacting lexical processing (Perfetti & Bell, 1991; Rayner, Sereno, Lesch & Pollatsek, 1995). Although the influence of phonological form is well established, less clear is the extent to which readers are sensitive to the possible pronunciations of a word (Lesch & Pollatsek, 1998), derived from the varying consistency of grapheme-to-phoneme correspondences (GPCs) (e.g., although ‘great’ has only one pronunciation, [ɡɹeɪt], the grapheme <ea> within it has multiple possible pronunciations: [i] in [plit] ‘pleat’, [ɛ] in [bɹɛθ] ‘breath’; Parkin, 1982). Further, little is known about non-native readers’ sensitivity to such characteristics. Non-native readers process text differently from L1 readers (Koda & Zehler, 2008; McBride-Chang, Bialystok, Chong & Li, 2004), with implications for understanding L2 reading comprehension (Rayner, Chace, Slattery & Ashby, 2006). The goal of this study was thus to determine whether native and non-native readers are sensitive to the consistency of a word’s component GPCs during lexical processing and to compare this sensitivity among readers from different L1s.

Activate Compliance: A Multilevel Study of Factors Associated With Activation of Body-Worn Cameras

Body-worn cameras (BWCs) have quickly become popular tools in law enforcement. In theory, BWCs have the capacity to record all the time. However, due to privacy, legal, and practical concerns, cameras must be activated by officers in most jurisdictions. Early comments have raised concerns that officers would not activate their cameras in situations where there was a possibility that an intervention would not “look good” or when a situation might involve unnecessary or excessive use of force—posing a clear threat to transparency. The current study aims (1) to examine activation trends during a 10-month pilot to better understand officers’ compliance with departmental policies over time and (2) to identify situational and individual factors related to activation in situations where, based on a detailed policy, cameras should have been activated. Using generalized linear mixed models, camera activation was found to be significantly related to the nature of police–civilian encounters and officers’ personal characteristics such as experience and gender. Because suspicions of voluntary nonactivation in controversial situations can greatly affect police–citizen relations, this article concludes on a discussion of automatic activation.