The Implications of Computer‐Mediated Communication (CMC) for Social Support Message Processing and Outcomes: When and Why Are the Effects of Support Messages Strengthened During CMC?

Widespread use of computer‐mediated communication (CMC) for exchanging social support has raised questions about the support‐related implications of CMC. This study drew from the dual‐process theory of supportive message outcomes and examined the implications of CMC for support message processing and outcomes. We hypothesized that the reduced social cues in CMC would encourage greater elaboration on support message content and lead support messages to have a greater impact than in face‐to‐face interaction. The results of the experiment showed that, although the support message was held constant, participants in the CMC condition reported the strongest motivation to receive support, engaged in the greatest level of message elaboration, and experienced the most beneficial changes in worry and uncertainty discrepancy.     

Inferring causal networks from observations and interventions

Information about the structure of a causal system can come in the form of observational data—random samples of the system's autonomous behavior—or interventional data—samples conditioned on the particular values of one or more variables that have been experimentally manipulated. Here we study people's ability to infer causal structure from both observation and intervention, and to choose informative interventions on the basis of observational data. In three causal inference tasks, participants were to some degree capable of distinguishing between competing causal hypotheses on the basis of purely observational data. Performance improved substantially when participants were allowed to observe the effects of interventions that they performed on the systems. We develop computational models of how people infer causal structure from data and how they plan intervention experiments, based on the representational framework of causal graphical models and the inferential principles of optimal Bayesian decision‐making and maximizing expected information gain. These analyses suggest that people can make rational causal inferences, subject to psychologically reasonable representational assumptions and computationally reasonable processing constraints.     

Computer‐Aided Psychotherapy for Anxiety Disorders: A Meta‐Analytic Review

Computer‐aided psychotherapy (CP) is said to (1) be as effective as face‐to‐face psychotherapy, while requiring less therapist time, for anxiety disorder sufferers, (2) speed access to care, and (3) save traveling time. CP may be delivered on stand‐alone or Internet‐linked computers, palmtop computers, phone‐interactive voice response, DVDs, and cell phones. The authors performed a meta‐analysis of 23 randomised controlled studies (RCTs) that compared CP with non‐CP in anxiety disorders: phobias, n = 10; panic disorder/agoraphobia, n = 9; PTSD, n = 3; obsessive–compulsive disorder, n = 1. Overall mean effect size of CP compared with non‐CP was 1.08 (95% confidence interval: 0.84–1.32). CP and face‐to‐face psychotherapy did not differ significantly from each other (13 comparisons, d = ?0.06). Much caution is needed when interpreting the findings indicating that outcome was unrelated to type of disorder, type of comparison group, mode of CP delivery (Internet, stand‐alone PC, palmtop), and recency of the CP system and that effect size decreased when more therapist time was replaced by the computer. Because CP as a whole was as effective as face‐to‐face psychotherapy, certain forms of CP deserve to be integrated into routine practice.     

Using E-Z Reader to examine the concurrent development of eye-movement control and reading skill

Compared to skilled adult readers, children typically make more fixations that are longer in duration, shorter saccades, and more regressions, thus reading more slowly (Blythe & Joseph, 2011). Recent attempts to understand the reasons for these differences have discovered some similarities (e.g., children and adults target their saccades similarly; Joseph, Liversedge, Blythe, White, & Rayner, 2009) and some differences (e.g., children’s fixation durations are more affected by lexical variables; Blythe, Liversedge, Joseph, White, & Rayner, 2009) that have yet to be explained. In this article, the E-Z Reader model of eye-movement control in reading (Reichle, 2011 and Reichle et al., 1998) is used to simulate various eye-movement phenomena in adults vs. children in order to evaluate hypotheses about the concurrent development of reading skill and eye-movement behavior. These simulations suggest that the primary difference between children and adults is their rate of lexical processing, and that different rates of (post-lexical) language processing may also contribute to some phenomena (e.g., children’s slower detection of semantic anomalies; Joseph et al., 2008). The theoretical implications of this hypothesis are discussed, including possible alternative accounts of these developmental changes, how reading skill and eye movements change across the entire lifespan (e.g., college-aged vs. older readers), and individual differences in reading ability.     

Predicting the Personal Appeal of Marketing Images Using Computational Methods

Images play a central role in digital marketing. They attract attention, trigger emotions, and shape consumers’ first impressions of products and brands. We propose that the shift from one‐to‐many mass communication to highly personalized one‐to‐one communication requires an understanding of image appeal at a personal level. Instead of asking “How appealing is this image?” we ask “How appealing is this image to this particular consumer?” Using the well‐established five‐factor model of personality, we apply machine learning algorithms to predict an image's personality appeal—the personality of consumers to which the image appeals most—from a set of 89 automatically extracted image features (Study 1). We subsequently apply the same algorithm on new images to predict consequential outcomes from the fit between consumer and image personality. We show that image‐person fit adds incremental predictive power over the images’ general appeal when predicting (a) consumers’ liking of new images (Study 2) and (b) consumers’ attitudes and purchase intentions (Study 3).     

An examination of the effect of computerized performance monitoring feedback on monitoring fairness, performance, and satisfaction

Research has examined how the design and implementation of computerized performance monitoring (CPM) systems affects individuals’ performance and attitudes. In this study, we examine how the attributes of the feedback received in a CPM context affects individuals’ reactions to monitoring. One hundred and sixty-five individuals participated in an experiment that examined the effect of three feedback attributes (feedback control, feedback constructiveness, and feedback medium) on monitoring fairness judgments, performance, and satisfaction. Results demonstrate feedback constructiveness significantly predicted monitoring fairness. Additionally, supervisor-mediated feedback was associated with higher levels of monitoring fairness than was computer-mediated feedback. Moreover, monitoring fairness mediated the relationship between these feedback attributes and performance and satisfaction. However, contrary to expectations, feedback control did not affect perceptions of monitoring fairness. Implications for future research on the design of CPM systems are discussed.     

Stimulus Control with Computer Assisted Learning

Computer Assisted Learning (CAL) has been shown to be an efficient learning-teaching procedure. Although there is an extensive educational software tradition using CAL approaches, few of them have demonstrated a better student performance than standard drill and practice methods. The purpose of this study was (a) to evaluate the effectiveness of the Let's Play With... software program, and (b) to evaluate the effectiveness of a prompt (i.e. a blinking object) used in the program. The educational software Let's Play With... was designed to teach basic concepts involving shapes and body positions to preschool students. The software structure follows a behavioral design and uses a stimulus control procedure. The study was carried out with 64 preschool students in the Cadiz (Spain) School District. Statistically significant differences were found between the experimental group and a control group.     

Structural consequences of individual position in nondyadic social networks

The pattern of dyadic relationships among members of a population has often been used to obtain important information on the way that social structure can further or constrain social action. More recently, it has been proposed that nondyadic relationships can play a similar role. In this paper, a formalism is proposed that allows the dyadic structure and the nondyadic structure to be considered simultaneously. If this formalism is applied to the study of the structure arising from attendance at significant social events, it becomes possible to identify potential loci for social action. Still further, it is shown that information on individuals' structural perspectives with respect to such potential loci can be translated into conclusions about the individuals' positions in the dyadic structure. Such considerations can be used to evaluate the relative potential of these loci for social action.     

Individual autonomy in organizations

This paper attempts to quantify the notion of an individual's desire for autonomy in an organization. It is shown that the basis for this concept can be formulated axiomatically, and a numerical function constituting the “degree” of autonomy can be derived. The relations between the individual's basic preferences, his/her feelings of autonomy, and the individual's performance as an organization member, are also studied. In this connection the loyalty of the member to the organization becomes important, and this notion is also developed axiomatically.     

How extraverted is honey.bunny77@hotmail.de? Inferring personality from e-mail addresses

Computer mediated communication (CMC) plays a rapidly growing role in our social lives. Within this domain, e-mail addresses represent the thinnest slice of information that people receive from one another. Using 599 e-mail addresses of young adults, their self-reported personality scores and the personality judgments of 100 independent observers, it was shown that personality impressions based solely on e-mail addresses were consensually shared by observers. Moreover, these impressions contained some degree of validity. This was true for neuroticism, openness, agreeableness, conscientiousness, and narcissism but not for extraversion. Level of accuracy was explained using lens model analyses: Lay observers made broad use of perceivable e-mail address features in their personality judgments, features were slightly valid and observers were sensitive to subtle differences in validity between cues. Altogether, even the thinnest slice of CMC—the mere e-mail address—contains valid information about the personality of its owner.