Attention effects on auditory scene analysis: insights from event-related brain potentials

Sounds emitted by different sources arrive at our ears as a mixture that must be disentangled before meaningful information can be retrieved. It is still a matter of debate whether this decomposition happens automatically or requires the listener’s attention. These opposite positions partly stem from different methodological approaches to the problem. We propose an integrative approach that combines the logic of previous measurements targeting either auditory stream segregation (interpreting a mixture as coming from two separate sources) or integration (interpreting a mixture as originating from only one source). By means of combined behavioral and event-related potential (ERP) measures, our paradigm has the potential to measure stream segregation and integration at the same time, providing the opportunity to obtain positive evidence of either one. This reduces the reliance on zero findings (i.e., the occurrence of stream integration in a given condition can be demonstrated directly, rather than indirectly based on the absence of empirical evidence for stream segregation, and vice versa). With this two-way approach, we systematically manipulate attention devoted to the auditory stimuli (by varying their task relevance) and to their underlying structure (by delivering perceptual tasks that require segregated or integrated percepts). ERP results based on the mismatch negativity (MMN) show no evidence for a modulation of stream integration by attention, while stream segregation results were less clear due to overlapping attention-related components in the MMN latency range. We suggest future studies combining the proposed two-way approach with some improvements in the ERP measurement of sequential stream segregation.     

Getting What the Occupation Gives: Exploring Multilevel Links Between Work Design and Occupational Values

The history of work design research is voluminous and compelling. Thousands of studies have demonstrated the wide‐reaching and powerful impact the design of work can have on a host of meaningful outcomes. Yet, absent in much of this research is an explicit consideration of the context within which work is performed and how this context might impact work design. Drawing from the theory of work adjustment, we describe the different ways in which occupations are linked to work design. In a sample of 805 individuals from 230 occupations, our multilevel examinations show the occupational‐level values of achievement, independence, altruism, status, and comfort are related to a variety of work characteristics. In addition, we found that work characteristics are key mechanisms through which these occupational values affect individual‐level job satisfaction. Implications of these results for work design theory and practice are discussed.     

Measurement and interpretation of the mismatch negativity

The mismatch negativity (MMN) is a preattentive brain response elicited by changes in repetitive auditory stimulation. Usually, it is identified as the difference between the event-related potential elicited by a high-probabilitystandard and that elicited by a low-probabilitydeviant stimulus. Most likely, MMN is generated by the outcome of a comparison process that registers a difference between the neural representation of the actual input and the memory trace of the standard stimulation. Since its discovery by Näätänen and colleagues in 1978, MMN has become a useful tool for investigating the brain’s auditory information processing in several hundred studies. The present paper describes problems related to the measurement and interpretation of MMN. First, it reviews important features of MMN. Second, it provides technical information about recording and parametrization of this brain wave. Third, it discusses various methodological aspects which may be taken into account in the designing of MMN experiments. Fourth, it addresses some conceptual problems that have to be considered in the proper interpretation of MMN.     

Psychiatric diagnoses in infancy: A comparison

This study investigated the specificity of diagnostic classification in two standardized systems: DSM-IV and Diagnostic Classification: Zero to Three. A sample of 82 infants aged 1–24 months suffering from various psychogenic and functional pediatric symptoms was diagnosed applying both systems. For DC: 0–3 (the Diagnostic Classification on Mental Health and Developmental Disorders of Infancy and Early Childhood), this study presents results with respect to the specificity of symptom patterns. Twelve out of 27 symptoms, specific for disorders in early infancy, showed high specificity and were significantly discriminative for the diagnostic entities. These symptoms were differentiated for frequency and severity of occurrence for each diagnosis. In the sample, DSM-IV and DC: 0–3 diagnoses were compared. Additionally, 13 items of biographical-biological data were collected (e.g., low SES combined with very young or older mothers resulted in an increased risk for psychiatric disorders in early infancy). The data provide support for the idea that the use of DC: 0–3 in early infancy may be helpful in relation to daily routines and research by increasing the range of clearly defined diagnostic entities.     

Intrinsic Ethics Regarding Integrated Assessment Models for Climate Management

In this essay we develop and argue for the adoption of a more comprehensive model of research ethics than is included within current conceptions of responsible conduct of research (RCR). We argue that our model, which we label the ethical dimensions of scientific research (EDSR), is a more comprehensive approach to encouraging ethically responsible scientific research compared to the currently typically adopted approach in RCR training. This essay focuses on developing a pedagogical approach that enables scientists to better understand and appreciate one important component of this model, what we call intrinsic ethics. Intrinsic ethical issues arise when values and ethical assumptions are embedded within scientific findings and analytical methods. Through a close examination of a case study and its application in teaching, namely, evaluation of climate change integrated assessment models, this paper develops a method and case for including intrinsic ethics within research ethics training to provide scientists with a comprehensive understanding and appreciation of the critical role of values and ethical choices in the production of research outcomes.