Measuring and modeling facial affect

In recent years, researchers in computer science and human-computer interaction have become increasingly interested in characterizing perception of facial affect. Ironically, this applied interest comes at a time when the classic findings on perception of human facial affect are being challenged in the psychological research literature, largely on methodological grounds. This paper first describes two experiments that empirically address Russell’s methodological criticisms of the classic work on measuring “basic emotions,” as well as his alternative approach toward modeling “facial affect space.” Finally, a user study on affect in a prototype model of a robot face is reported; these results are compared with the human findings from Experiment 1. This work provides new data on measuring facial affect, while also demonstrating how basic and more applied research can mutually inform one another.     

A feature-based inference model of numerical estimation: The split-seed effect

Prior research has identified two modes of quantitative estimation: numerical retrieval and ordinal conversion. In this paper we introduce a third mode, which operates by a feature-based inference process. In contrast to prior research, the results of three experiments demonstrate that people estimate automobile prices by combining metric information associated with two critical features: product class and brand status. In addition, Experiments 2 and 3 demonstrated that when participants are seeded with the actual current base price of one of the to-be-estimated vehicles, they respond by revising the general metric and splitting the information carried by the seed between the two critical features. As a result, the degree of post-seeding revision is directly related to the number of these features that the seed and the transfer items have in common. The paper concludes with a general discussion of the practical and theoretical implications of our findings.     

A Systematic Review of Studies Reporting Data-Driven Cognitive Subtypes across the Psychosis Spectrum

Neuropsychology Review - The delineation of cognitive subtypes of schizophrenia and bipolar disorder may offer a means of determining shared genetic markers and neuropathology among individuals...     

Exploring the role of sexual experiences in on‐again/off‐again dating relationships

As an important dimension of romantic relationships, sexual activity has received little attention in research on on‐again/off‐again (on–off) relationships. Study 1 assessed the prevalence and perceptions of sexual experiences in on–off relationships as compared to non‐cyclical relationships (those without a history of breakups and renewals); furthermore, current and post‐dissolution (PD) relationships were assessed. Findings showed that on–off partners were four times more likely to engage in sex after breakups than non‐cyclical partners (55 vs. 13%). Results also suggested that on–off partners' perceptions of PD sexual experiences were more satisfying, more compatible, and less stressful than were non‐cyclical partners'. Using longitudinal data, Study 2 showed that PD sex was linked with reconciling the relationship. Conclusions from these findings and future directions are discussed.     

Relationship satisfaction determines the association between Epstein–Barr virus latency and somatic symptoms after the loss of a spouse

The loss of a spouse is associated with a host of negative health outcomes. While bereaved individuals commonly report somatic symptoms, no investigations exist of the association between reactivation of latent Epstein–Barr virus (EBV) and somatic symptoms among this population. Further, how an individual perceives the quality of their lost relationship in retrospect may impact loss outcomes. Among 99 bereaved spouses, elevated EBV antibody titers were associated with somatic symptoms for those who retrospectively reported high or mean levels of relationship satisfaction (RS), but not among those less satisfied. Further, higher RS was associated with greater grief symptoms. This study identifies higher retrospective RS as a possible risk factor for negative physical and mental health outcomes during bereavement.     

‘You Are What You Read:’ Is selective exposure a way people tell us who they are?

Selective exposure is the tendency to gather viewpoint-congenial versus viewpoint-uncongenial information. Extant models of selective exposure suggest this tendency occurs because people anticipate reading congenial (vs. uncongenial) information will cause more favourable intrapersonal consequences. However, these models ignore the notion that people's information choices are, in part, symbolic gestures designed to convey identity-relevant beliefs to an audience through information display. Drawing from perspectives that emphasize human consumption as symbolic and a way to signal one's identity, we suggest that selective exposure pertains not only to information processing but also to conveying identity through information display. Experiment 1 showed that people characterize information display as a way to communicate their views to an audience. Experiments 2–4 showed that people are averse to displaying uncongenial versus congenial information (without processing the information), anticipate feeling more uncomfortable and more inauthentic merely displaying (without processing) uncongenial versus congenial information, and that people's intentions to engage in selective exposure in daily life are a function of their belief that selective-exposure displays convey their identity. None of these studies or findings can be generated from extant selective-exposure theories. Thus, selective-exposure theories are likely incomplete because they ignore people's beliefs and goals regarding information display.     

Group cognition,membership change,and performance: Investigating the benefits and detriments of collective knowledge

This study analyzes the effects of group membership change on group cognition and performance to determine how groups can simultaneously leverage oldtimers’ collective knowledge and a newcomer’s expertise. Our analysis focuses specifically on the interrelated effects of the two components of a transactive memory system (TMS)—TMS structure and TMS processes—to explain the cognitive mechanisms through which membership change affects group performance. Results from a laboratory study show that groups that experience partial membership change tend to rely on the TMS structure that oldtimers developed in their original group, and that doing so is ultimately detrimental to performance because it creates inefficient TMS processes. Results from a supplemental study indicate that these TMS process inefficiencies can be avoided when oldtimers are instructed to reflect upon their collective knowledge prior to task execution. We discuss the implications for managing group cognition in organizations where membership change is prevalent.