Exploring the underlying structure of personal Web usage in the workplace

Personal Web usage (PWU) represents a tension between employers and employees as employers generally regard employees' PWU as negative and employees see many PWU behaviors as acceptable. Employers attempt to limit PWU primarily through electronic monitoring and Internet usage policies. Employees, however, find PWU not only permissible, but also useful and rationalize these workplace behaviors. While researchers identified many PWU behaviors, the underlying structure of the phenomenon is not clearly understood. In this article, we offer a comprehensive new definition of PWU, and develop an empirically grounded classification of PWU framed by psychological contract theory and based on two studies. Using multidimensional scaling techniques and cluster analysis, we identified four clusters of PWU behaviors-work/family, hedonic, self-development, and citizenship. The results provide information as to what constitutes the domain of PWU, and how various usages are related to one another via the dimensions of individual and organizational benefits. We offer directions for future work and suggest how our work might be useful to practitioners.     

Age-cognition relations and the personality trait of Conscientiousness

Increasing age has been found to correlate with a decrease in many cognitive abilities and an increase in the personality trait of Conscientiousness. The first goal of this study was to examine whether an age-related decline in cognitive abilities, in particular Fluid ability, accounts for the age-related increase in Conscientiousness. The second goal was to investigate whether the role of cognitive abilities in the relation between age and Conscientiousness is similar among people of different levels of education.Our results support the conclusion that the relation between age and Conscientiousness is mediated by fluid ability and working memory abilities, and that these effects are stronger in people with lower levels of education.Altogether, these findings are consistent with the hypothesis that age differences in characteristics such as persistence, self-motivation and dutifulness may help compensate for age differences in cognition.     

The ripple effect of personality on social structure: self-monitoring origins of network brokerage

Despite growing interest in social network brokerage, its psychological antecedents have been neglected. One possibility is that brokerage relates to self-monitoring personality orientation. High self-monitors, relative to low self-monitors, in adapting their self-presentations to the demands of different groups, may occupy positions as brokers between disconnected social worlds. For 162 Korean expatriate entrepreneurs in a Canadian urban area, the results showed that those high in self-monitoring tended to occupy direct brokerage roles within the Korean community--in terms of their direct acquaintances being unconnected with each other. Those high in self-monitoring also tended to occupy indirect brokerage roles--in terms of the acquaintances of their acquaintances being unconnected with each other. Finally, for recent arrivals, those high in self-monitoring tended to establish ties to a wider range of important non-Korean position holders outside the community. These results (which controlled for strongly significant effects of network size on individuals' brokerage within the community) suggest a ripple effect of self-monitoring on social structure and contribute to a clearer understanding of how personality relates to brokerage at different levels.     

Commentary on reconceptualizing personality disorder categories using trait dimensions

The ability of trait models of personality to account for categories of personality disorder is examined with particular reference to the five-factor approach. Although dimensional models are consistent with the evidence, and trait models can accommodate personality disorder categories, it is not clear that such models are directly applicable to clinical use. The lower-order or facet structure, in particular, needs further development to capture clinical concepts. It is also suggested that trait models do not account for all aspects of personality disorder-attention also needs to be paid to the organizing and integrative functions of personality.     

Perceptions of personal Web usage in the workplace: AQ-methodology approach.

An important aspect to managing Personal Web Usage (PWU) at the workplace lies in understanding and reshaping the perceptions of the users. The study contends that the outward manifestation of PWU behaviors at the workplace is but one consequence of the actors' attitudes which in turn are determinants of their ingrained beliefs. This study explores user perceptions about PWU using a web-based Q-methodology. Q-methodology used in this study is suitable for exploratory research, to obtain a deeper and first-hand understanding about the underlying phenomena about an under-explored concept. Twenty-five participants were asked to sort 38 statements according to their relative importance. The results uncover three distinct factors PWU: (1) cyber-bureaucrat, (2) cyber-humanist, and (3) cyber-adventurer. This indicates that PWU maybe a multidimensional construct instead of a uni-dimensional one as previously thought. The findings of this study can help managers understand, and shape the perceptions of the users rather than the outwardly manifested behaviors.     

Implicit self-esteem in the context of trait models of personality

Although the basic dimensions of personality are strongly associated with individual differences in (explicit) self-esteem, the relations between personality and implicit self-esteem have not been systematically researched. In three studies, implicit self-evaluations (measured both with the Name-Letter Test and the self-esteem IAT) were generally independent of personality self-reports (Studies 1–3) and peer-reports (Study 3). Moreover, the implicit measures were also independent of one another. Discussion centers on the problems and promises of implicit measures as indicators of individual differences in self-esteem and their relation to personality.     

Your personality on a good day: How trait and state personality predict daily well-being

The dynamic mediation model (Wilt, Noftle, Fleeson, & Spain, 2012) explains the associations between personality traits and happiness through links between personality states and daily well-being. To test this model, and the mediators of these relations, we examined if between- and within-person variation in personality was associated with daily well-being for undergraduates (N = 133) and US adults (N = 117). The model explained the trait neuroticism and daily well-being association. Also, after controlling for traits, people were happier on days in which they were extraverted, agreeable, conscientious, emotionally stable, and open to experience. Finally, these associations were partially mediated by the satisfaction of daily psychological needs. We discuss how the operationalization of state extraversion might impact its relation with daily well-being.     

The influence of trait affect and the five-factor personality model on impulse buying

Research into the influence of affect on impulse buying has to date produced contradictory results, partly due to confusion between the potentially discrete influences of, respectively, state and trait affect. Additionally, studies on how the five-factor personality model’s dimensions influence impulse buying have also produced contradictory results. Moreover, while the established link between trait affect and personality suggests dimensions of this latter could account for whatever influence the former has on impulse buying, no study has yet attempted to examine this possibility. We draw on self-regulation theory to examine three unanswered questions: (1) the extent to which trait affect influences impulse buying whilst controlling for state affect; (2) establish which dimensions of the five-factor personality model predict impulse buying; and (3) test whether or not any influence of trait affect on impulse buying is additive to the effects of the five-factor personality model. Analyses of cross-sectional data (n = 842) find that trait affect does have a significant (p < .05) influence on impulse buying controlling for state affect, but that this influence is fully accounted for by the five-factor personality model (p < .001), the extraversion, conscientiousness and neuroticism dimensions of which are found consistently to predict impulse buying.     

The effects of self-monitoring and self-reported consistency on the consistency of personality judgments made by strangers and intimates

How consistent are strangers' and intimates' judgments of stimulus people's personalities, and how is this interjudge consistency affected by stimulus persons' assessed self-monitoring and self-reported behavioral consistency? To answer these questions, 38 stimulus subjects rated themselves on the personality dimensions of extraversion and anxiety and also rated their cross-situational consistency on these dimensions. Strangers, friends, mothers, and fathers of stimulus persons also rated them on extraversion and anxiety. The results indicated that: For judgments of anxiety there was lower interjudge consistency for high than for low self-monitoring stimulus subjects. For judgments of extraversion there was no difference in interjudge consistency for low and high self-monitoring stimulus subjects. The results also showed that anxiety was a more “private” trait in that intimates' but not strangers' judgments correlated with stimulus subjects' self-reported anxiety (r = .50 and r = .11, respectively), while extraversion was a more “public” trait in that both intimates' and strangers' judgments correlated with stimulus subjects' self-reported extraversion (r = .42 and r = .51, respectively). These results suggest that self-monitoring of stimulus persons affects interjudge consistency of peroonality judgments particularly for “private” traits such as anxiety, which are most subject to expressive control and inhibition.     

Exploring the usage of supervised driving automation in naturalistic conditions

This study reports usage of supervised automation and driver attention from longitudinal naturalistic driving observations. Automation inexperienced drivers were provided with instrumented vehicles with adaptive cruise control (ACC) and lane keeping (LK) features (SAE level 2). Data was collected comparing one month of driving without support to two months where drivers were instructed to use automation as desired.On highways, level 2 automation was used respectively 63% and 57% of the time by Tesla and BMW users, with peak usage during slow stop-and-go traffic (0–30 km/h) and higher speeds (>80 km/h). On roads with speed limits below 70 km/h, automation was used less than 8%, and use on urban roads was incidental rather than habitual. Automation usage increased with time in trip, but no clear time of day effects were found. Head pose data could not classify driver attention, and we recommend gaze tracking in future studies. Head pose deviation was selected as alternative indicator for monitoring activity. Comparing among forms of automation usage on the highway, head heading deviation was smallest during ACC use, but did not differ between automation and baseline manual driving. Head heading deviation during manual driving was smaller in the baseline than the experimental phase, which suggests that motives for manual highway driving may be attention related. Automation usage did not change much over the first 12 weeks of the experimental condition, and there were no longitudinal changes in head pose deviation.     

Neuroanatomical and functional substrates of the hypomanic personality trait and its prediction on aggression

Hypomanic personality manifests a close link with several psychiatric disorders and its abnormality is a risk indicator for developing bipolar disorders. We systematically investigated the potential neuroanatomical and functional substrates underlying hypomanic personality trait (HPT) and its sub-dimensions (i.e., Social Vitality, Mood Volatility, and Excitement) combined with structural and functional imaging data as well as their corresponding brain networks in a large non-clinical sample across two studies (n = 464). Behaviorally, HPT, specifically Mood Volatility and Excitement, was positively associated with aggressive behaviors in both studies. Structurally, sex-specific morphological characteristics were further observed in the motor and top-down control networks especially for Mood Volatility, although HPT was generally positively associated with grey matter volumes (GMVs) in the prefrontal, temporal, visual, and limbic systems. Functionally, brain activations related to immediate or delayed losses were found to predict individual variability in HPT, specifically Social Vitality and Excitement, on the motor and prefrontal-parietal cortices. Topologically, connectome-based prediction model analysis further revealed the predictive role of individual-level morphological and resting-state functional connectivity on HPT and its sub-dimensions, although it did not reveal any links with general brain topological properties. GMVs in the temporal, limbic (e.g., amygdala), and visual cortices mediated the effects of HPT on behavioral aggression. These findings suggest that the imbalance between motor and control circuits may be critical for HPT and provide novel insights into the neuroanatomical, functional, and topological mechanisms underlying the specific temperament and its impacts on aggression.     

Nonverbal display of emotion in public and in private: self-monitoring, personality, and expressive cues.

Individual differences in the expression and regulation of emotion are important components of social skill. The present study focused on the concealing of spontaneous expressions of happiness after winning in a competitive situation against peers. In a repeated measures design, spontaneous expressive behaviors in response to triumph were secretly videotaped when Ss (N = 38) were alone in a room and when they were with 2 fellow competitors (confederates). Edited tapes were analyzed by naive raters and trained coders. As predicted, the social context strongly influenced the expressive behaviors of Ss, providing support for a social inhibition effect. More important, the self-monitoring construct (Snyder, 1987) was helpful in explaining individual differences in expressive regulation, with high self-monitors being successful at hiding their happiness when appropriate; and they did so in particular ways. Low self-monitors did not conceal their emotions. Other findings with regard to personality and sex differences were also uncovered.     

Exploring the career construction interview for vocational personality assessment

This mixed-methods study explored the validity and usefulness of the Career Construction Interview (CCI) with college students (n = 83) from a midsize Southern university. Using Pearson's r correlations, comparisons were made between the three-letter RIASEC Strong Interest Inventory (SII) theme code and RIASEC theme codes derived from coding the CCI narratives of the participants. Results indicated moderate correlation between the CCI and SII participant results.