Generation of speech continua through monaural fusion

A procedure based on monaural fusion has been developed to construct acoustic continua between natural speech sounds, to be used in studies of speech perception. Two speech stimuli of similar temporal structure and different spectral composition are precisely aligned in time and presented simultaneously to the listener. By mixing both stimulus components in varying intensity ratios, a transition from one component to the other can be achieved. Such stimulus continua have several advantages over the synthetic continua commonly used in studies of categorical perception and related phenomena: They are based on real speech stimuli; the endpoint stimuli are unambiguous; and the stimuli are characterized by a well-defined physical variable, the relative intensity of the two components.     

Microswitch technology and contingent stimulation to promote adaptive engagement in persons with minimally conscious state: a case evaluation

This study assessed whether a post-coma woman functioning at the lower end of the minimally conscious state would (a) develop adaptive responding through the use of microswitch technology and contingent stimulation, (b) consolidate and maintain her responding over time, and (c) show evidence of response-consequences awareness (learning and discrimination). The study involved an ABABB¹CB¹ sequence in which the A represented baseline phases, the B and B¹ intervention phases, and the C a control phase with continuous stimulation. Results indicated that the woman developed adaptive responding and consolidated it over the intervention phases of the study. The woman also showed evidence of being aware of response-consequences links. Potential implications and limitations of these findings are discussed.     

Sampling assumptions in inductive generalization

Inductive generalization, where people go beyond the data provided, is a basic cognitive capability, and it underpins theoretical accounts of learning, categorization, and decision making. To complete the inductive leap needed for generalization, people must make a key 'sampling' assumption about how the available data were generated. Previous models have considered two extreme possibilities, known as strong and weak sampling. In strong sampling, data are assumed to have been deliberately generated as positive examples of a concept, whereas in weak sampling, data are assumed to have been generated without any restrictions. We develop a more general account of sampling that allows for an intermediate mixture of these two extremes, and we test its usefulness. In two experiments, we show that most people complete simple one-dimensional generalization tasks in a way that is consistent with their believing in some mixture of strong and weak sampling, but that there are large individual differences in the relative emphasis different people give to each type of sampling. We also show experimentally that the relative emphasis of the mixture is influenced by the structure of the available information. We discuss the psychological meaning of mixing strong and weak sampling, and possible extensions of our modeling approach to richer problems of inductive generalization.     

How to administer the Initial Preference Task

Individuals like their name letters more than non‐name letters. This effect has been termed the Name Letter Effect (NLE) and is widely exploited to measure implicit (i.e. automatic, unconscious) self‐esteem, predominantly by means of the Initial Preference Task (IPT). Methodological research on how to best administer the IPT is, however, scarce. In order to bridge this gap, the present paper assessed the advantages and disadvantages of different types of IPT administrations with two meta‐analyses (k = 49; N = 11,514) and a follow‐up experiment (N = 449). As a result, a new type of administration is recommended which (1) treats the effects of the first and the last name initials separately, (2) uses a duplicate administration for reliability reasons, (3) uses the likability as well as the attractiveness item wording and (4) exploits not only letters but also numbers (i.e. birthday number effect) to measure implicit self‐esteem. Copyright © 2011 John Wiley & Sons, Ltd.