Human–Android Interaction in the Near and Distant Future

ABSTRACT— In this article, a psychologist and an artificial-intelligence (AI) researcher speculate on the future of social interaction between humans and androids (robots designed to look and act exactly like people). We review the trajectory of currently developing robotics technologies and assess the level of android sophistication likely to be achieved in 50 years time. On the basis of psychological research, we consider obstacles to creating an android indistinguishable from humans. Finally, we discuss the implications of human–android social interaction from the standpoint of current psychological and AI research and speculate on the novel psychological issues likely to arise from such interaction. The science of psychology will face a remarkable new set of challenges in grappling with human–android interaction.     

The contribution of personal resources to physical and mental health: looking into age and gender effects

In this study, a model that specified the effects of socioeconomic and psychological resources on physical and mental health was investigated. It was hypothesized that (a) both kinds of resources would affect physical and mental health more strongly in older than in younger adults, and that (b) socioeconomic resources would exert stronger effects in men, whereas psychological resources would exert stronger effects in women. Data were collected in an Israeli national sample. Structural modeling analyses indicated that the model fit the data. A comparison of 4 groups of participants (2 age groups--18-39 and 40-84--and both genders) showed that, for men, the respective effects of socioeconomic and psychological resources on physical and mental health were strong in the older, but not in the younger, group. For women, socioeconomic resources had nonsignificant effects, whereas psychological resources had strong effects on mental health in both age groups; psychological resources also had a moderate effect on physical health in the older group. The results suggest that the contribution of personal resources to health is regulated by the joint impact of age and gender, presumably involving shifting roles and vulnerabilities of men and women across the life span.     

The House-Tree-Person Test as a measure of intelligence and creativity.

The House-Tree-Person test and a verbal test of mental ability, the Basic Word Vocabulary Test, were administered to 23 male and 27 female, university undergraduates and to 27 boys and 38 girls in Grades 3 to 8. The drawings were given three separate and independent scorings by judges who computed intelligence scores according to the House-Person manual; rated them impressionistically on intelligence, using a forced-distribution method; or rated them impressionistically on creativity, using the same forced-distribution method. The three House-Tree-Person measures were highly intercorrelated for all groups of subjects. All three House-Tree-Person scores also correlated positively and significantly with vocabulary test scores for female university students, as did both Impressionistically derived House-Tree-Person scores for grade-school girls. Male students' and boys' vocabulary scores were unrelated to any of the House-Tree-Person scores. Results suggest that competence in graphic expression operates independently of verbal intelligence in males but validity as a nonverbal test of mental ability and that it can be scored efficiently and reliably by using a global, impressionistic method.     

Posttraumatic stress disorder in medically ill patients: what is known, what needs to be determined, and why is it important?

Can a medical illness or its treatment qualify as an emotionally traumatic event and can it cause posttraumatic stress disorder symptoms? If so, can the view of a medical illness as a traumatic experience enhance our ability to understand patients' adjustment to illness and their emotional reactions to it? Is it important to identify posttraumatic symptoms and try to address them in medically ill patients? These questions form the backbone for this review. Because many questions remain unanswered (or the answers are not definitive yet), we concisely summarize the issues and present our own view of the most pressing questions for further research.     

Input and output in distributive theory

Distributive theories evaluate distributions of goods based on candidate recipients’ characteristics, e.g. how well off candidates are, how deserving they are, and whether they fare below sufficiency. But such characteristics vary across possible worlds, so distributive theories may differ in terms of the world which for them settles candidates’ characteristics. This paper examines how distributive theories differ in terms of whether candidate recipients’ relevant characteristics are grounded in the possible world that would take place if the distributor does not intervene (call it the “input” world) or if they are grounded in each possible world that the distributor can bring about through different decisions (call each an “output” world). We illustrate the importance of this distinction in relation to one distributive theory, prioritarianism. As we show, both input and output versions of prioritarianism are plausible interpretations of the literature, and there are good reasons to take input prioritarianism seriously. Ultimately, however, we argue that input prioritarianism should be rejected.     

Perceptual versus postperceptual mediation of visual context effects: Evidence from the letter-superiority effect

Two experiments demonstrated letter-context effects that cannot easily be accounted for by post-perceptual theories based on structural redundancy, figural goodness, or memory advantage. In Experiment 1, subjects identified the color of a letter fragment more accurately in letter than in nonletter contexts. In Experiment 2, subjects identified the feature presented in a precued color more accurately in letters than in nonletters. We argue that these effects result from top-down perceptual processing.     

Area activation: a computational model of saccadic selectivity in visual search

The Area Activation Model (Pomplun, Reingold, Shen, & Williams, 2000) is a computational model predicting the statistical distribution of saccadic endpoints in visual search tasks. Its basic assumption is that saccades in visual search tend to foveate display areas that provide a maximum amount of task‐relevant information for processing during the subsequent fixation. In the present study, a counterintuitive prediction by the model is empirically tested, namely that saccadic selectivity towards stimulus features depends on the spatial arrangement of search items. We find good correspondence between simulated and empirically observed selectivity patterns, providing strong support for the Area Activation Model.     

Mind the Gap: Between‐group differences and fair test use

This paper integrates recent meta‐analytical findings regarding group differences in job‐ and educational‐related criteria and cognitive ability measures used as predictors in personnel selection and selection to higher education institutions. The findings suggest that cognitive ability measures reveal much higher group differences than the corresponding between‐group differences in job‐ and educational‐related criteria. One possible explanation for these differential gaps is that cognitive ability measures are objective and standardized while the typical measures used as job‐ and‐educational related criteria are non‐standardized subjective evaluations of job performance and academic achievement. While these findings are consistent with unbiased prediction or over‐prediction for lower scoring groups, they imply that selection is biased against them. Implications and future research are discussed.     

Can psychopathic offenders discern moral wrongs? A new look at the moral/conventional distinction

A prominent view of psychopathic moral reasoning suggests that psychopathic individuals cannot properly distinguish between moral wrongs and other types of wrongs. The present study evaluated this view by examining the extent to which 109 incarcerated offenders with varying degrees of psychopathy could distinguish between moral and conventional transgressions relative to each other and to nonincarcerated healthy controls. Using a modified version of the classic Moral/Conventional Transgressions task that uses a forced-choice format to minimize strategic responding, the present study found that total psychopathy score did not predict performance on the task. Task performance was explained by some individual subfacets of psychopathy and by other variables unrelated to psychopathy, such as IQ. The authors conclude that, contrary to earlier claims, insufficient data exist to infer that psychopathic individuals cannot know what is morally wrong.