Part I. Experimental Studies: 2. Experiment in psychology 3. Experiments on perceiving III Experiments on imaging 4-8. Experiments on remembering: (a) The method of description (b) The method of repeated reproduction (c) The method of picture writing (d) The method of serial reproduction (e) The method of serial reproduction picture material 9. Perceiving, recognizing, remembering 10. A theory of remembering 11. Images and their functions 12. Meaning Part II. Remembering as a Study in Social Psychology: 13. Social psychology 14. Social psychology and the matter of recall 15. Social psychology and the manner of recall 16. Conventionalism 17. The notion of a collective unconscious 18. The basis of social recall 19. A summary and some conclusions.

Remembering. A Study in Experimental and Social Psychology, Cambridge (University Press) 1964.

This review of 122 research reports (184 independent samples, 14,900 subjects) found average r = .274 for prediction of behavioral, judgment, and physiological measures by Implicit Association Test (IAT) measures. Parallel explicit (i.e., self-report) measures, available in 156 of these samples (13,068 subjects), also predicted effectively (average r = .361), but with much greater variability of effect size. Predictive validity of self-report was impaired for socially sensitive topics, for which impression management may distort self-report responses. For 32 samples with criterion measures involving Black-White interracial behavior, predictive validity of IAT measures significantly exceeded that of self-report measures. Both IAT and self-report measures displayed incremental validity, with each measure predicting criterion variance beyond that predicted by the other. The more highly IAT and self-report measures were intercorrelated, the greater was the predictive validity of each.

https://faculty.washington.edu/agg/pdf/GPU&B.meta-analysis.JPSP.2009.pdf

Understanding and using the Implicit Association Test: III. Meta-analysis of predictive validity.

Sex and gender: modifiers of health, disease, and medicine.

Nationality: American Education: Ph.D. in Sociology and Personality... Alone Together: Why We Expect More from Technology â€¦ https://www.goodreads.com/book/show/8694125-alone-together Start by marking â€œAlone Together: Why We Expect More from Technology and Less from Each Otherâ€ as Want to Read: ... Unfortunately I am no closer to telling you why we expect more from technology & less from each other than I was before I read this book. One of the main things that bothered me about this book was that, even though I was really interested in these â€¦

Alone Together: Why We Expect More from Technology and Less from Each Other

The social category "children" defines a group of individuals who are perceived to be distinct, with essential characteristics including innocence and the need for protection (Haslam, Rothschild, & Ernst, 2000). The present research examined whether Black boys are given the protections of childhood equally to their peers. We tested 3 hypotheses: (a) that Black boys are seen as less "childlike" than their White peers, (b) that the characteristics associated with childhood will be applied less when thinking specifically about Black boys relative to White boys, and (c) that these trends would be exacerbated in contexts where Black males are dehumanized by associating them (implicitly) with apes (Goff, Eberhardt, Williams, & Jackson, 2008). We expected, derivative of these 3 principal hypotheses, that individuals would perceive Black boys as being more responsible for their actions and as being more appropriate targets for police violence. We find support for these hypotheses across 4 studies using laboratory, field, and translational (mixed laboratory/field) methods. We find converging evidence that Black boys are seen as older and less innocent and that they prompt a less essential conception of childhood than do their White same-age peers. Further, our findings demonstrate that the Black/ape association predicted actual racial disparities in police violence toward children. These data represent the first attitude/behavior matching of its kind in a policing context. Taken together, this research suggests that dehumanization is a uniquely dangerous intergroup attitude, that intergroup perception of children is underexplored, and that both topics should be research priorities.

/pdf/the-essence-of-innocence-consequences-of-dehumanizing-black-2itcajnvuq.pdf

The essence of innocence: Consequences of dehumanizing Black children.

Previous research on gender effects in robots has largely ignored the role of facial cues. We fill this gap in the literature by experimentally investigating the effects of facial gender cues on stereotypical trait and application ascriptions to robots. As predicted, the short-haired male robot was perceived as more agentic than was the long-haired female robot, whereas the female robot was perceived as more communal than was the male counterpart. Analogously, stereotypically male tasks were perceived more suitable for the male robot, relative to the female robot, and vice versa. Taken together, our findings demonstrate that gender stereotypes, which typically bias social perceptions of humans, are even applied to robots. Implications for design-related decisions are discussed. jasp_937 2213..2230 Imagine the following scenario that takes place several decades in the future: By then, both authors of this work might be senior citizens, and the same might hold true for our readers. In spite of grieving lost youth, however, imagine that each senior citizen of this future society would be equipped with a personal robot assistant that would take care of everyday life chores, such as personal care, household maintenance, and other conveniences for you. Your personal robot assistant would facilitate everyday life by being able to support you in any possible way. What could your robot assistant look like, and why did designers opt for this particular appearance? Would your companion’s look affect your perceptions of its “personality” and capabilities? The present research focuses on exactly these questions, as we address the issues of design choices in robots and their consequences for the perception of those robots. It is clear that, to date, the scenario outlined here has not yet been fully realized. Nevertheless, taking into account the interdisciplinary effort of international scientists in social robotics, engineering, computer sciences, psychology, and related fields, such a vision will sooner or later become

(S)he's Got the Look: Gender Stereotyping of Robots1

The goal of sex and gender analysis is to promote rigorous, reproducible and responsible science. Incorporating sex and gender analysis into experimental design has enabled advancements across many disciplines, such as improved treatment of heart disease and insights into the societal impact of algorithmic bias. Here we discuss the potential for sex and gender analysis to foster scientific discovery, improve experimental efficiency and enable social equality. We provide a roadmap for sex and gender analysis across scientific disciplines and call on researchers, funding agencies, peer-reviewed journals and universities to coordinate efforts to implement robust methods of sex and gender analysis. The authors discuss the potential for sex and gender analysis to foster scientific discovery, improve experimental efficiency and enable social equality.

/pdf/sex-and-gender-analysis-improves-science-and-engineering-3o94govr6e.pdf

Sex and gender analysis improves science and engineering

Previous work has shown that non-verbal behaviors affect anthropomorphic inferences about artificial communicators such as virtual agents or social robots In an experiment with a humanoid robot we investigated the effects of the robot’s hand and arm gestures on the perception of humanlikeness, likability of the robot, shared reality, and future contact intentions after interacting with the robot For this purpose, the speech-accompanying non-verbal behaviors of the humanoid robot were manipulated in three experimental conditions: (1) no gesture, (2) congruent co-verbal gesture, and (3) incongruent co-verbal gesture We hypothesized higher ratings on all dependent measures in the two multimodal (ie, speech and gesture) conditions compared to the unimodal (ie, speech only) condition The results confirm our predictions: when the robot used co-verbal gestures during interaction, it was anthropomorphized more, participants perceived it as more likable, reported greater shared reality with it, and showed increased future contact intentions than when the robot gave instructions without gestures Surprisingly, this effect was particularly pronounced when the robot’s gestures were partly incongruent with speech, although this behavior negatively affected the participants’ task-related performance These findings show that communicative non-verbal behaviors displayed by robotic systems affect anthropomorphic perceptions and the mental models humans form of a humanoid robot during interaction

To Err is Human(-like): Effects of Robot Gesture on Perceived Anthropomorphism and Likability

Previous work on social categorization has shown that people often use cues such as a person's gender, age, or ethnicity to categorize and form impressions of others. The present research investigated effects of social category membership on the evaluation of humanoid robots. More specifically, participants rated a humanoid robot that either belonged to their in-group or to a national out-group with regard to anthropomorphism (e.g., mind attribution, warmth), psychological closeness, contact intentions, and design. We predicted that participants would show an in-group bias towards the robot that ostensibly belonged to their in-group--as indicated by its name and location of production. In line with our hypotheses, participants not only rated the in-group robot more favourably--importantly, they also anthropomorphized it more strongly than the out-group robot. Our findings thus document that people even apply social categorization processes and subsequent differential social evaluations to robots.

Social categorization of social robots: anthropomorphism as a function of robot group membership.

In an experiment we manipulated a robot's voice in two ways: First, we varied robot gender; second, we equipped the robot with a human-like or a robot-like synthesized voice. Moreover, we took into account user gender and tested effects of these factors on human-robot acceptance, psychological closeness and psychological anthropomorphism. When participants formed an impression of a same-gender robot, the robot was perceived more positively. Participants also felt more psychological closeness to the same-gender robot. Similarly, the same-gender robot was anthropomorphized more strongly, but only when it utilized a human-like voice. Results indicate that a projection mechanism could underlie these effects.

http://aiweb.techfak.uni-bielefeld.de/files/p125.pdf

Friederike Anne Eyssel

Papers

(S)he's Got the Look: Gender Stereotyping of Robots1

Sex and gender analysis improves science and engineering

To Err is Human(-like): Effects of Robot Gesture on Perceived Anthropomorphism and Likability

Social categorization of social robots: anthropomorphism as a function of robot group membership.

'If you sound like me, you must be more human': on the interplay of robot and user features on human-robot acceptance and anthropomorphism