Is computer simulation changing the face of experimentation?

Morrison points out many similarities between the roles of simulation models and other sorts of models in science. On the basis of these similarities she claims that running a simulation is epistemologically on a par with doing a traditional experiment and that the output of a simulation therefore counts as a measurement. I agree with her premises but reject the inference. The epistemological payoff of a traditional experiment is greater (or less) confidence in the fit between a model and a target system. The source of this payoff is the existence of a causal interaction with the target system. A computer experiment, which does not go beyond the simulation system itself, lacks any such interaction. So computer experiments cannot confer any additional confidence in the fit (or lack thereof) between the simulation model and the target system.     

The philosophical novelty of computer simulation methods

Reasons are given to justify the claim that computer simulations and computational science constitute a distinctively new set of scientific methods and that these methods introduce new issues in the philosophy of science. These issues are both epistemological and methodological in kind.     

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.     

The Effects of Delayed Report and Motive for Reporting on Perceptions of Sexual Harassment

We examined whether the timing of the report and the victim's apparent motive for reporting influences women's and men's perceptions of sexual harassment. Undergraduates (153 women, 149 men) listened to 1 of 6 versions of audiotaped testimony of the victim and defendant. The report was filed either immediately or 18 months later, and motive either was presented as altruistic, retaliatory, or was not specified. Participants chose a verdict, rated the defendant's guilt, and rated the defendant and victim on several dimensions. Higher guilt ratings, more positive evaluations of the victim, and more negative evaluations of the defendant were associated with immediate reporting and an altruistic motive, although women weighed these factors more heavily than did men.     

Is disability really an obstacle to success? Impact of a disability simulation on motivation and performance

In Western societies, statistics on the integration of people with disabilities into the labor market consistently indicate that this category of workers faces serious discrimination. Research has evidenced negative perceptions about their occupational skills, despite positive beliefs about their personal qualities. The main purpose of this study was to show how these subjective beliefs about disability can shape performance (speed and accuracy, Studies 1, 3, and 4) and self‐reported motivation (Studies 2, 3, and 4) of able‐bodied persons simulating a disability. Participants were 281 French students without disabilities who carried out a task either with or without a simulated disability. This simulated disability constituted an actual handicap to perform the task (Studies 1 and 2) or not (Studies 3 and 4). The first three studies were focused on cognitive abilities, whereas Study 4 introduced a job interview component. Results consistently showed that participants in the simulated disability situation completed the task more accurately than controls, but took more time to do so. Higher degrees of motivation and perseverance are found for participants in the simulated disability situation, except in a job interview setting. These results are important for understanding how subjective beliefs about persons with disabilities can constitute objective barriers to social participation, and more specifically, to access to the labor market.     

The Problem of Other Minds

This paper reimagines the traditional problem of other minds. On a Cartesian view, the problem involves humans’ inability to perceive other persons’ minds. Similarly, Gilbert Ryle claims that we cannot directly access another’s mind. The paper’s rethinking of the problem of other minds moves beyond these questions of perceptibility and accessibility. It asks whether there are certain groups of people whose minds are systematically misinterpreted, or even denied mentality. It argues that there are. This claim builds off recent work in philosophy and social psychology on epistemic injustice and the role of social categories in mental state attribution. The paper proposes the Problem of the Other’s Mind: the phenomenon of a (relatively) socially privileged person’s inability or lack of desire to understand the mind of a (relatively) socially underprivileged person.     

A sad thumbs up: incongruent gestures and disrupted sensorimotor activity both slow processing of facial expressions

Recognising a facial expression is more difficult when the expresser's body conveys incongruent affect. Existing research has documented such interference for universally recognisable bodily expressions. However, it remains unknown whether learned, conventional gestures can interfere with facial expression processing. Study 1 participants (N?=?62) viewed videos of people simultaneously producing facial expressions and hand gestures and reported the valence of either the face or hand. Responses were slower and less accurate when the face-hand pairing was incongruent compared to congruent. We hypothesised that hand gestures might exert an even stronger influence on facial expression processing when other routes to understanding the meaning of a facial expression, such as with sensorimotor simulation, are disrupted. Participants in Study 2 (N?=?127) completed the same task, but the facial mobility of some participants was restricted, which disrupted face processing in prior work. The hand-face congruency effect from Study 1 was replicated. The facial mobility manipulation affected males only, and it did not moderate the congruency effect. The present work suggests the affective meaning of conventional gestures is processed automatically and can interfere with face perception, but does not suggest that perceivers rely more on gestures when sensorimotor face processing is disrupted.     

Models and mechanisms in network neuroscience

This paper considers the way mathematical and computational models are used in network neuroscience to deliver mechanistic explanations. Two case studies are considered: Recent work on klinotaxis by Caenorhabditis elegans, and a long-standing research effort on the network basis of schizophrenia in humans. These case studies illustrate the various ways in which network, simulation, and dynamical models contribute to the aim of representing and understanding network mechanisms in the brain, and thus, of delivering mechanistic explanations. After outlining this mechanistic construal of network neuroscience, two concerns are addressed. In response to the concern that functional network models are nonexplanatory, it is argued that functional network models are in fact explanatory mechanism sketches. In response to the concern that models which emphasize a network’s organization over its composition do not explain mechanistically, it is argued that this emphasis is both appropriate and consistent with the principles of mechanistic explanation. What emerges is an improved understanding of the ways in which mathematical and computational models are deployed in network neuroscience, as well as an improved conception of mechanistic explanation in general.     

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).