Predicting Divorce among Newlyweds from the First Three Minutes of a Marital Conflict Discussion

This study tested the hypothesis that how a discussion of a marital conflict begins--in its first few minutes--is a predictor of divorce. The marital conflict discussion of 124 newlywed couples was coded using the Specific Affect Coding System, and the data were divided into positive, negative, and positive-minus-negative affect totals for five 3-minute intervals. It was possible to predict marital outcome over a 6-year period using just the first 3 minutes of data for both husbands and wives. For husbands this prediction improved as the groups diverged in the remaining 12 minutes; for wives the prediction remained equally powerful for the remaining 12 minutes as it had been in the first 3 minutes.     

Virtual Humans and Persuasion: The Effects of Agency and Behavioral Realism

Two studies examined whether participant attitudes would change toward positions advocated by an ingroup member even if the latter was known to be an embodied agent; that is, a human-like representation of a computer algorithm. While immersed in a virtual environment, participants listened to a persuasive communication from a digital representation of another student. The latter was actually an embodied agent (a computer-controlled digital representation of a human). Study 1 examined the extent to which gender of the virtual human, participant gender, and the agent's behavior affected attitude change. Results revealed gender-based ingroup favoritism in the form of greater attitude change for same gender virtual humans. Study 2 examined behavioral realism and agency beliefs; that is, whether participants believed the other to be an agent or an avatar (an online representation of an actual person). Results supported Blascovich and colleague's model of social influence within immersive virtual environments. Specifically, the prediction that virtual humans high in behavioral realism would be more influential than those low in behavioral realism was supported, but this effect was moderated by the gender of the virtual human and the research participant. Implications of these findings for the model are discussed.     

Sex Differences in Jealousy: An Evolutionary Perspective on Online Infidelity

This study examined whether sex differences in jealousy would generalize to online infidelity. Based on the evolutionary psychological explanation for sex differences in jealousy (ancestral men's challenge of paternal uncertainty vs. ancestral women's challenge of ensuring paternal investment), we expected that men and women would perceive online infidelity similarly to conventional infidelity. The experimental design was a 2 (Infidelity Context: online or conventional) × 2 (Participant Sex) × 2 (Infidelity Type: emotional vs. sexual) mixed factorial. Participants were 332 (132 male, 200 female) undergraduates who completed a questionnaire assessing their responses to potential infidelity. As predicted, online and conventional infidelity elicited the same sex difference in jealousy. Implications for social scientists who study online behavior are discussed.     

Self‐Representations in Immersive Virtual Environments1

This experiment varied whether individuals interacted with virtual representations of themselves or of others in an immersive virtual environment. In the self‐representation condition, half of the participants interacted with a self‐representation that bore photographic resemblance to them, whereas the other half interacted with a self‐representation that bore no resemblance to them. In the other‐representation condition, participants interacted with a representation of another individual. The experimental design was a 2 (Participant Gender) × 3 (Agent Identity: high‐similarity self‐representation vs. low‐similarity self‐representation vs. other representation). Overall, participants displayed more intimacy‐consistent behaviors for representations of themselves than others. Implications of using immersive virtual environment technology for studying the self are discussed.     

Figural vividness and persuasion: capturing the "elusive" vividness effect

Despite the widespread belief that the use of vividness in persuasive communications is effective, many laboratory studies have failed to find vividness effects. A possible explanation for this discrepancy is that many laboratory tests have not vivified solely the central thesis of the message but have vivified irrelevant portions of the message as well or instead. Two experiments examined the effect of vivifying the central ("figure") or noncentral ("ground") features of a message on persuasion. In both experiments, the formerly "elusive vividness effect" of superior persuasion was found, but only in vivid-figure communications. A mediation analysis revealed the salutary role of supportive cognitive elaborations, rather than memory for the communication, in mediating the vividness effect. The findings caution against attempts to persuade by increasing overall message vividness because off-thesis vividness has the unintended and undercutting consequence of distracting recipients from the point of the communication.     

Matching Abilities to Careers for Others and Self: Do Gender Stereotypes Matter to Students in Advanced Math and Science Classes?

Interest in STEM (science, technology, engineering, and mathematics) careers falls off more quickly for young women than for young men over adolescence, and gender stereotypes may be partially to blame. Adolescents typically become more stereotypical in their career interests over time, yet they seem to become more flexible in applying stereotypes to others. Models of career interest propose that career decisions result from the alignment of self-perceived abilities with occupation-required skills and that gender stereotypes may influence this process. To investigate the discrepancy between applying stereotypes to self and others, we examined if these models can be applied to perceptions of others. Focusing on students from fifth grade through college enrolled in advanced STEM courses, we investigated how STEM occupational stereotypes, abilities, and efficacy affect expectations for others’ and own career interests. U.S. participants (n = 526) read vignettes describing a hypothetical male or female student who was talented in math/science or language arts/social studies and then rated the student’s interest in occupations requiring some of those academic skills. Participants’ self-efficacy, interest, and stereotypes for STEM occupations were also assessed. Findings suggest that ability beliefs, whether for oneself or another, are powerful predictors of occupational interest, and gender stereotypes play a secondary role. College students were more stereotypical in their ratings of others, but they did not manifest gender differences in their own STEM self-efficacy and occupational interests. Experiences in specialized STEM courses may explain why stereotypes are applied differentially to the self and others.     

A reproductive threat-based model of evolved sex differences in jealousy

Although heterosexual women and men consistently demonstrate sex differences in jealousy, these differences disappear among lesbians and gay men as well as among heterosexual women and men contemplating same-sex infidelities (infidelities in which the partner and rival are the same sex). Synthesizing these past findings, the present paper offers a reproductive threat-based model of evolved sex differences in jealousy that predicts that the sexes will differ only when the jealous perceivers' reproductive outcomes are differentially at risk. This model is supported by data from a web-based study in which lesbians, gay men, bisexual women and men, and heterosexual women and men responded to a hypothetical infidelity scenario with the sex of the rival randomly determined. After reading the scenario, participants indicated which type of infidelity (sexual versus emotional) would cause greater distress. Consistent with predictions, heterosexual women and men showed a sex difference when contemplating opposite-sex infidelities but not when contemplating same-sex infidelities, whereas lesbians and gay men showed no sex difference regardless of whether the infidelity was opposite-sex or same-sex.     

Weapons of Influence Misused: A Social Influence Analysis of Why People Fall Prey to Internet Scams

Internet crime, including fraud and spread of malicious software, is a pervasive and costly global issue. Many of these crimes occur not because of technology failure but because of the human element. People can easily be manipulated through social engineering – the use of psychological tactics to influence individuals to assist in their own victimization. We employ a social influence framework, drawing upon ideas from Robert Cialdini, to understand the nature of social engineering techniques and why they are successful in exploiting unsuspecting individuals. Specifically, we discuss how social engineers misuse six pervasive weapons of influence – Liking, Authority, Scarcity, Social Proof, Reciprocity, and Commitment and Consistency – in order to effectively influence individuals to take the initial steps toward their exploitation. We conclude with a discussion of the precautions individuals can take to resist malicious influence attempts online.