Online therapy for addictive behaviors.

Clinicians working in the field of addictive behaviors cannot afford to ignore the Internet. Psychological advice, help, and treatment for addicts are no exceptions, with both counseling and psychotherapy entering the computer age. This paper reviews the main issues in the area and approaches the discussion acknowledging that online therapy has to be incorporated within the overall framework of the need for clinical assistance. The paper also provides brief overviews of some websites as illustrative examples of what types of online therapy are available.     

Modeling individual differences using Dirichlet processes

We introduce a Bayesian framework for modeling individual differences, in which subjects are assumed to belong to one of a potentially infinite number of groups. In this model, the groups observed in any particular data set are not viewed as a fixed set that fully explains the variation between individuals, but rather as representatives of a latent, arbitrarily rich structure. As more people are seen, and more details about the individual differences are revealed, the number of inferred groups is allowed to grow. We use the Dirichlet process—a distribution widely used in nonparametric Bayesian statistics—to define a prior for the model, allowing us to learn flexible parameter distributions without overfitting the data, or requiring the complex computations typically required for determining the dimensionality of a model. As an initial demonstration of the approach, we present three applications that analyze the individual differences in category learning, choice of publication outlets, and web-browsing behavior.     

Online data collection from video game players: methodological issues.

The paper outlines the advantages and disadvantages of using the Internet to collect data concerning both online and offline gamers. Drawing from experience of a number of studies carried out online by the authors and by reviewing the available literature, the authors discuss the main issues concerning data collected from video game players. The paper examines a number of areas, including recruiting and utilizing participants, validity, suitable methods of data collection (i.e., questionnaire studies, online tests, participant observation, online interviews), and ethical issues. It is concluded that online research methods can be a useful way of examining the psychosocial aspects of video game playing.     

A Bayesian framework for word segmentation: Exploring the effects of context

Since the experiments of Saffran et al. [Saffran, J., Aslin, R., & Newport, E. (1996). Statistical learning in 8-month-old infants. Science, 274, 1926-1928], there has been a great deal of interest in the question of how statistical regularities in the speech stream might be used by infants to begin to identify individual words. In this work, we use computational modeling to explore the effects of different assumptions the learner might make regarding the nature of words - in particular, how these assumptions affect the kinds of words that are segmented from a corpus of transcribed child-directed speech. We develop several models within a Bayesian ideal observer framework, and use them to examine the consequences of assuming either that words are independent units, or units that help to predict other units. We show through empirical and theoretical results that the assumption of independence causes the learner to undersegment the corpus, with many two- and three-word sequences (e.g. what’s that, do you, in the house) misidentified as individual words. In contrast, when the learner assumes that words are predictive, the resulting segmentation is far more accurate. These results indicate that taking context into account is important for a statistical word segmentation strategy to be successful, and raise the possibility that even young infants may be able to exploit more subtle statistical patterns than have usually been considered.     

The Wisdom of Individuals: Exploring People's Knowledge About Everyday Events Using Iterated Learning

Determining the knowledge that guides human judgments is fundamental to understanding how people reason, make decisions, and form predictions. We use an experimental procedure called 'iterated learning,' in which the responses that people give on one trial are used to generate the data they see on the next, to pinpoint the knowledge that informs people's predictions about everyday events (e.g., predicting the total box office gross of a movie from its current take). In particular, we use this method to discriminate between two models of human judgments: a simple Bayesian model ( Griffiths & Tenenbaum, 2006 ) and a recently proposed alternative model that assumes people store only a few instances of each type of event in memory (Min K ; Mozer, Pashler, & Homaei, 2008 ). Although testing these models using standard experimental procedures is difficult due to differences in the number of free parameters and the need to make assumptions about the knowledge of individual learners, we show that the two models make very different predictions about the outcome of iterated learning. The results of an experiment using this methodology provide a rich picture of how much people know about the distributions of everyday quantities, and they are inconsistent with the predictions of the Min K model. The results suggest that accurate predictions about everyday events reflect relatively sophisticated knowledge on the part of individuals.     

Characteristics of consultants and consultees and success in mental health consultation

Selected attitudinal and value characteristics of high and low successful consultants were considered. Twelve consultants and 15 consultees completed six measures. Consultants were categorized as high or low success consultants based on the coding of consultants' logs. Results indicate high and low success consultants do not differ on the selected characteristics. Also, the results indicate that more successful consultants have consultees who are more authoritarian and dogmatic and are more dissimilar to their consultees in level of dogmatism and reported need for assistance. Future investigations will indicate whether the results can be replicated on a more representative consultee sample.     

Counselling in the treatment of pathological gambling: An overview

Gambling is an activity that will become increasingly known to the counselling profession as the problematic effects of gambling deregulation in the United Kingdom slowly take effect over the nextfive to ten years. The gambling literature and the phases of the pathological gambler's career are briefly examined. Counselling approaches that have been used in the treatment of pathological gambling include (i) psychotherapy, (ii) conjoint marital therapy, (iii) minimal interventions, (iv) behavioural counselling, and (v) practical approaches to the treatment of adolescent problem gamblers. It is concluded that, although a number of evaluation studies have been carried out, few are directly comparable with one another, and several have methodological problems which may undermine the value of the evidence produced.     

Suppression of ethanol self-administration in alcoholics by contingent time-out from social interactions

In a residential research ward setting six volunteer chronic alcoholics were given daily access to 17 alcoholic drinks provided that a minimum of 40 min elapsed between receiving successive drinks. Each drink contained 1 oz 95-proof ethanol in orange juice. During baseline phases subjects were free to drink and socialize on the dayroom. However, during social time-out phases subjects were not permitted to socialize for the 40 min period following receipt of each drink. This contingent social time-out manipulation was systematically replicated across three conditions which varied with respect to the number of non-contingent ward privileges available. The results show that contingent social time-out suppressed drinking; and its effectiveness depended directly upon the conditions of available privileges. Within individual subjects, contingent time-out was increasingly effective in suppressing drinking as the available privileges were increasingly restricted.