Why and how to use virtual reality to study human social interaction: The challenges of exploring a new research landscape

As virtual reality (VR) technology and systems become more commercially available and accessible, more and more psychologists are starting to integrate VR as part of their methods. This approach offers major advantages in experimental control, reproducibility, and ecological validity, but also has limitations and hidden pitfalls which may distract the novice user. This study aimed to guide the psychologist into the novel world of VR, reviewing available instrumentation and mapping the landscape of possible systems. We use examples of state-of-the-art research to describe challenges which research is now solving, including embodiment, uncanny valley, simulation sickness, presence, ethics, and experimental design. Finally, we propose that the biggest challenge for the field would be to build a fully interactive virtual human who can pass a VR Turing test – and that this could only be achieved if psychologists, VR technologists, and AI researchers work together.     

Personality Testing in Personnel Selection: Adverse impact and differential hiring rates

Personality tests are often used in selection and have demonstrated predictive validity across a variety of occupational groups and performance criteria. Although different selection decision methods can be used to make selection decisions (e.g., compensatory top down, compensatory with sliding bands, noncompensatory) from personality test results, there is a paucity of research addressing the influence of these different selection decision methods on issues such as, adverse impact and differential hiring rates. This gap in the literature is redressed in the current study. Results from 398 bus operator candidates indicated that there may be adverse impact and differential hiring rate issues depending on the selection decision method used and the designated group being assessed. Implications and future research directions are discussed.     

Impact of health beliefs, quality of life, and the physician-patient relationship on the treatment intentions of inflammatory bowel disease patients.

The research tested a model of treatment decision making in chronic illness that includes health beliefs, quality of life, and relationship with the physician (shared or not). Inflammatory bowel disease patients (N = 218) reported on their physician-patient relationship, general and disease-specific quality of life, and intentions to take a drug, for which perceived benefits and costs were manipulated. For more symptomatic patients, both costs and benefits predicted intentions; however, for less symptomatic patients, costs played a more important role. Physician recommendation predicted intention primarily among those who shared a decision-making relationship with their physician. Overall, the model accounted for 57.8% of the variance in medication-taking intention. Findings suggest that an integrative consideration of relationship factors, health beliefs, and health status may help explain treatment intentions among the chronically ill.