Happier together. Social cohesion and subjective well‐being in Europe

Despite mushrooming research on “social” determinants of subjective well‐being (SWB), little is known as to whether social cohesion as a collective property is among the key societal conditions for human happiness. This article fills this gap in investigating the importance of living in a cohesive society for citizens' SWB. For 27 European Union countries, it combines the newly developed Bertelsmann Foundation's Cohesion Index with individual well‐being data on life evaluation and psychological functioning as surveyed in the recent European Quality of Life Survey. The main results from multi‐level analyses are as follows. First, Europeans are indeed happier and psychologically healthier in more cohesive societies. Second, all three core domains of cohesion increase individuals' SWB. Third, citizens in the more affluent part of Europe feel the positivity of social cohesion more consistently than those in the less affluent part. Finally, within countries, cohesion is good for the SWB of resource‐rich and resource‐poor groups alike. Our findings also shed new light on the ongoing debate on economic progress and quality of life: what makes citizenries of affluent societies happier is, in the first place, their capacity to create togetherness and solidarity among their members—in other words, cohesion.     

Measuring drivers’ takeover performance in varying levels of automation: Considering the influence of cognitive secondary task

Mixed control by driver and automated system will remain in use for decades until fully automated driving is perfected. Thus, drivers must be able to accurately regain control of vehicles in a timely manner when the automated system sends a takeover request (TOR) at its limitation. Therefore, determining the factors that affect drivers’ takeover quality at varying levels of automated driving is important. Previous studies have shown that visually distracting secondary tasks impair drivers’ takeover performance and increase the subjective workload. However, the influence of purely cognitive distracting secondary tasks on drivers’ takeover performance and how this influence varies at different levels of automation are still unknown. Hence, a 5 (driving modes) × 3 (cognitive secondary tasks) factorial design with the within-subject factors was adopted for this driving simulator experiment. The sample consisted of 21 participants. The participants’ subjective workloads were recorded by the NASA-Task Load Index (NASA-TLX). Results showed that compared to manual driving conditions, the drivers’ subjective workloads were significantly reduced in both partially and highly automated driving conditions, even with a TOR, confirming the benefit of the automated driving system in terms of reducing the driving workload. Moreover, the drivers exhibited a lower takeover behavior quality at high levels of automation than manual driving in terms of increased reaction time, abnormal performance, standard deviation of lane position, lane departure probability, and reduced minimum of time to collision. However, at the highly automated driving condition, the drivers’ longitudinal driving safety and ability to follow instructions improved when performing a highly cognitive secondary task. This phenomenon possibly occurred because automated driving conditions lead to an underload phenomenon, and the execution of highly cognitive tasks transfers drivers into moderate load, which helps with the drivers’ takeover performance.     

How is the visual working memory load of driver influenced by information density of traffic signs?

The rapid development of urban roads has resulted in an increase in the amount of information that needs to be displayed on traffic signs. The overloading of information on traffic signs may increase drivers’ visual cognition burden and cause driving errors. It could be an important factor affecting driving safety and result in accidents. To enable drivers to cognize traffic signs, the information density that they could endure under reasonable workload levels should be determined. In this study, we designed and implemented trials to analyze drivers’ visual working memory load (VWML) caused by different information densities (including stimulus intensity (SI) and interval time of stimulus (IS)) of traffic signs. Twenty-four paid participants (12 females) with a mean age of 23.38 years (SD = 1.38) participated in laboratory simulation trials based on the memory retrieval approach. Subjective ratings (rating scale mental effort (RSME)), and performance measurement based on reaction time and accuracy of information-matching task were measured to reflect drivers’ VWML at different information densities. The results show that information density is an important factor affecting drivers’ VWML. The following are the significant observations of the study: (1) The subjective ratings on mental effort increased with increase in the SI. Meanwhile, it first decreased and then increased with increase in the IS. (2) The response accuracy results show that a high accuracy (≥0.7) was achieved by drivers in an IS of 15 s when the SI was at most 14.16 bit/m². Correspondingly, the drivers underwent less mental workload as a result of their better short-term memory characteristic. (3) The mean reaction time was over 1800 ms when the SI was over 14.16 bit/m². This indicated a reduction in the information-processing capability of the drivers. The results indicate that cognition of information of unreasonable density on traffic signs would increase drivers’ VWML. This would, in turn, result in an increase in their reaction time and decrease in accuracy. The threshold of information density was also determined through the experiment. It would satisfy the information demand of drivers and prevent information redundancy. The results contribute to an understanding of drivers’ VWML while cognizing traffic signs with different information densities and provide safety, effectiveness, and information continuity considerations for the design and setting of traffic signs.     

Assessment of apathy in neurological patients using the Apathy Motivation Index caregiver version

Apathy is a common, disabling neuropsychiatric syndrome that occurs across many brain disorders and may be associated with diminished motivation in behavioural, cognitive, emotional and social domains. Assessment is complicated by the variability of symptoms across apathy domains and self-report from patients, which can be misleading due to their lack of insight. Independent evaluation by clinicians also has limitations though if it has to be performed with limited time. Caregiver reports are a viable alternative, but current assessments for them either do not distinguish between different apathy domains or are interview-based and take long to administer. In this study, we developed a brief caregiver questionnaire version of the recently developed Apathy Motivation Index (AMI), which is a self-report tool. We confirmed three apathy factors in this new caregiver measure (AMI-CG) that were also present in the AMI: Behavioural Activation, Emotional Sensitivity and Social Motivation. Furthermore, we validated the scores against more extensive caregiver interviews using the established Lillle apathy rating scale as well as patient self-reports of apathy, measures of depression, anhedonia, cognition, activities of daily living and caregiver burden across four different neurological conditions: Parkinson's disease, Alzheimer's disease, subjective cognitive impairment and limbic encephalitis. The AMI-CG showed good internal reliability, external validity and diagnostic accuracy. It also uncovered cases of social apathy overlooked by traditional instruments. Crucially, patients who under-rated their apathy compared to informants were more likely to have difficulties performing everyday activities and to be a greater burden to caregivers. The findings provide evidence for a multidimensional conceptualization of apathy and an instrument for efficient detection of apathy based on caregiver reports for use in clinical practice.     

Does childhood general cognitive ability at age 12 predict subjective well-being at age 52?

Drawing on a broad, multidimensional conceptualization of subjective well-being, this study examined the power of childhood general cognitive ability to predict life satisfaction, satisfaction with eight individual life domains, and the frequency of experiencing positive and negative affect in middle adulthood. Data were obtained from a representative Luxembourgish sample (N = 738; 53% female) in a longitudinal study conducted in 1968 and 2008. Childhood general cognitive ability was unrelated to life satisfaction, negatively related to negative affect and satisfaction with free time, and positively related to positive affect and satisfaction with some of the life domains associated with socioeconomic success (i.e. finances, self, housing, work, or health). This predictive power persisted even when childhood socioeconomic status was controlled.     

Does personality moderate reaction and adaptation to major life events? Evidence from the British Household Panel Survey

A nationally representative panel study of British households was used to examine the extent to which Big Five personality traits interact with the experience of major life events (marriage, childbirth, unemployment, and widowhood) to predict increases and decreases in life satisfaction following the event. Results show that major life events are associated with changes in life satisfaction, and some of these changes are very long lasting. Personality traits did not have consistent moderating effects on the association between stressful life events and life satisfaction over time.     

Context affects the interpretation of low but not high numerical probabilities: A hypothesis testing account of subjective probability

Low numerical probabilities tend to be directionally ambiguous, meaning they can be interpreted either positively, suggesting the occurrence of the target event, or negatively, suggesting its non-occurrence. High numerical probabilities, however, are typically interpreted positively. We argue that the greater directional ambiguity of low numerical probabilities may make them more susceptible than high probabilities to contextual influences. Results from five experiments supported this premise, with perceived base rate affecting the interpretation of an event’s numerical posterior probability more when it was low than high. The effect is consistent with a confirmatory hypothesis testing process, with the relevant perceived base rate suggesting the directional hypothesis which people then test in a confirmatory manner.     

Demand characteristics and research into drug use

Abstract

Health research makes frequent use of verbal reports; and such reports are usually assumed to be the surface indicants of measurable entities such as attitudes, beliefs, intentions, etc. which reside inside the person. It is our assertion that verbal reports themselves are motivated and variable; they are functional and context-dependent and their meaning and significance are localised. Consequently discourse cannot be treated as if it were fixed and categorical data to be retrieved from memory by asking questions that appear objective or disinterested. A method is postulated, using a social perception analogy with signal detection (SD) theory. The method allows for the assessment of subject criterion, and permits an examination of signal-strength in terms of the researcher's motivation. Data are evaluated in terms of their “robustness”, a measure which derives from the variability of response in different contexts, and under different elicitation procedures. The method requires few assumptions to be made about the “truth” or “falsity” of verbal reports. It focuses on the types of social activities that are performed by utterances and thus on the contextual variability revealed by asking questions in different situations and in different ways. This procedure does not presume a direct correspondence between verbal reports and mental representations.     

Personal resources at the juncture of culture and life satisfaction

This study investigates cultural group differences (Israeli Arab vs. Jewish) in personal resources and life satisfaction. Arab students evidenced lower levels of life satisfaction, as well as perceived personal resources, when compared to their Jewish counterparts. Furthermore, personal resources mediated the effects of culture on life satisfaction. The role of personal resources at the juncture of culture and life satisfaction was discussed.     

Psychological wellbeing and the diathesis-stress hypothesis model: The role of psychological functioning and quality of relations in promoting subjective well-being in a life events study

Negative life events are associated with poor wellbeing and mental health outcomes. Following a diathesis-stress model, we tested whether psychological functioning and quality of interpersonal relationships moderated the effect of life events on subjective wellbeing. This study comprised data from a young and middle-aged adult sample (n = 364) drawn from an Australian university-student population. Results indicated that life events were associated with negative but not positive wellbeing outcomes. Perceived impact of life events was a stronger predictor of wellbeing than was the number of life events. Psychological functioning and quality of interpersonal relationships were associated with both wellbeing dimensions but only quality of interpersonal relationships moderated the effect of life events on wellbeing. In conclusion, perceived impact of life events was more strongly related to wellbeing than number of life events. Interpersonal relationships moderate the effect of life events with those reporting higher levels of quality of interpersonal relationships reporting less decrement in negative affect following stressful life events.