Mathias Risse and Gabriel Wollner: On Trade Justice: A Philosophical Plea for a New Global Deal

Ethical Theory and Moral Practice -     

The Natural Selection of Prediction Heuristics: Anchoring and Adjustment versus Representativeness

There are several heuristics which people use in making numerical predictions and these heuristics compete for the determination of prediction output. Some of them (e.g. representativeness) lead to excessively extreme predictions while others (e.g. anchoring and adjustment) lead to regressive (and even over-regressive) predictions. In this paper we study the competition between these two heuristics by varying the representation of predictor and outcome. The results indicate that factors which facilitate reliance on representativeness (e.g. compatibility between predictor and outcome) indeed lead to an increase in extremity, while factors that facilitate reliance on anchoring and adjustment (e.g. increased salience of a potential anchor) lead to a decrease in extremity.     

Timing the “magical number seven”: Presentation rate and regularity affect verbal working memory performance

The informative value of time and temporal structure often remains neglected in cognitive assessments. However, next to information about stimulus identity we can exploit temporal ordering principles, such as regularity, periodicity, or grouping to generate predictions about the timing of future events. Such predictions may improve cognitive performance by optimising adaptation to dynamic stimuli. Here, we investigated the influence of temporal structure on verbal working memory by assessing immediate recall performance for aurally presented digit sequences (forward digit span) as a function of standard (1000 ms stimulus-onset-asynchronies, SOAs), short (700 ms), long (1300 ms) and mixed (700–1300 ms) stimulus timing during the presentation phase. Participant's digit spans were lower for short and mixed SOA presentation relative to standard SOAs. This confirms an impact of temporal structure on the classic “magical number seven,” suggesting that working memory performance can in part be regulated through the systematic application of temporal ordering principles.     

Evaluation of a trial-based interview-informed synthesized contingency analysis

We evaluated the viability of an interview-informed synthesized-contingency analysis (IISCA) conducted in a trial-based format with 3 children with autism spectrum disorders who engaged in problem behavior. We compared results to those from typical trial-based and traditional functional analyses and found high degrees of correspondence. The trial-based IISCA format took the least amount of time to conduct and was associated with the lowest frequencies of problem behavior. Results are discussed in terms of merits of each of the 3 types of functional analysis arrangements and directions for future research.     

Humor and coping with stress: A test under real-life conditions

The relationship between humor and coping with stress was investigated for trainees in a course for combat NCOs in the Israel Defense Forces. Measures of humor through self-report and peer-ratings were administered to 159 soldiers. Coping with stress was assessed through ratings by commanders and peers, and through final course grades. The findings showed that humor as rated by peers (but not by self-report) was positively related to performance under stress. This was especially true for active humor (self-produced as opposed to reactive humor). No differences were found between individuals characterized by self-directed humor and other-directed humor in performance under stress. The implications in terms of humor theories and further research are discussed.     

EARSHOT: A Minimal Neural Network Model of Incremental Human Speech Recognition

Despite the lack of invariance problem (the many-to-many mapping between acoustics and percepts), human listeners experience phonetic constancy and typically perceive what a speaker intends. Most models of human speech recognition (HSR) have side-stepped this problem, working with abstract, idealized inputs and deferring the challenge of working with real speech. In contrast, carefully engineered deep learning networks allow robust, real-world automatic speech recognition (ASR). However, the complexities of deep learning architectures and training regimens make it difficult to use them to provide direct insights into mechanisms that may support HSR. In this brief article, we report preliminary results from a two-layer network that borrows one element from ASR, long short-term memory nodes, which provide dynamic memory for a range of temporal spans. This allows the model to learn to map real speech from multiple talkers to semantic targets with high accuracy, with human-like timecourse of lexical access and phonological competition. Internal representations emerge that resemble phonetically organized responses in human superior temporal gyrus, suggesting that the model develops a distributed phonological code despite no explicit training on phonetic or phonemic targets. The ability to work with real speech is a major advance for cognitive models of HSR.     

The generalized approach,attainMent, maintenance,and avoidance (GAMMA) motivation scale: development,validation, and theoretical contribution

Motivation and Emotion - In this investigation, the Generalized Approach, attainMent, Maintenance, and Avoidance (GAMMA) Motivation Scale was developed and validated. This scale measures approach...     

Effects of socially appropriate singing on the vocal stereotypy of children with autism spectrum disorder

This study evaluated the effects of children with autism spectrum disorder engaging in socially acceptable singing on their vocal stereotypy. A multiple‐baseline across four participants with embedded multielement designs was used to assess the effects of the singing intervention upon later occurrence of vocal stereotypy for each participant. Results showed that fewer instances of vocal stereotypy occurred during and after singing intervention sessions. Additionally, two children began to emit appropriate singing after intervention, which suggests that the topography of their vocal stereotypy (e.g., monosyllabic or screeching sounds) was altered to some extent. Overall, results suggest positive implications for teaching appropriate vocal behaviors as functional replacements for vocal stereotypy.     

Talking Points: A Modulating Circle Increases Listening Effort Without Improving Speech Recognition in Young Adults

Psychonomic Bulletin & Review - Speech recognition is improved when the acoustic input is accompanied by visual cues provided by a talking face (Erber in Journal of Speech and Hearing Research,...     

Towards Including End-Users in the Design of Prosthetic Hands: Ethical Analysis of a Survey of Australians with Upper-Limb Difference

Science and Engineering Ethics - Advances in prosthetic design should benefit people with limb difference. But empirical evidence demonstrates a lack of uptake of prosthetics among those with limb...