Do Smarter People Employ Better Decision Strategies? The Influence of Intelligence on Adaptive Use of the Recognition Heuristic

Within the adaptive toolbox approach, it has repeatedly been shown that, on average, people tend to adapt their decision strategies to the decision context. Building upon these results, we investigated whether individuals systematically differ in their ability to successfully adapt to the situation when applying the fast‐and‐frugal recognition heuristic (RH). In decisions between recognized and unrecognized choice objects, individuals can base their choices solely on recognition, as predicted by the RH, or they can use further knowledge retrieved from memory. Since intelligence has been conceived as the ability to successfully adapt to different situations, we expected intelligence to influence the degree of adaptive use of the RH. To test this hypothesis, we first re‐analyzed data that referred to a decision domain for which RH‐use is known to perform well. As expected, individual RH‐use increased with general intelligence. Next, we designed an experiment addressing individual RH‐use in two new decision domains, one domain for which RH‐use was less effective than knowledge‐use and another domain for which both strategies were about equally effective. In addition, we tested whether fluid or crystallized intelligence best predicts adaptive use of the RH. RH‐use was found to decrease with fluid but not crystallized intelligence when RH‐use was less effective than use of further knowledge. In contrast, there was no significant association between either type of intelligence and RH‐use when none of the two strategies was optimal. We conclude that adaptive use versus non‐use of the RH is moderated by fluid intelligence. Copyright © 2017 John Wiley & Sons, Ltd.     

Self-monitoring and public posting improve competitive youth cyclists' training performance

This study investigated the effects of self-monitoring and public posting on the cycling performance of competitive youth cyclists. We measured three primary dependent variables: performance volume, intensity precision, and performance-duration deviation. In addition, we evaluated self-monitoring accuracy and social validity. The participants were three males aged 14–16 years. We used an ABAB design to evaluate an intervention package that consisted primarily of self-monitoring and public posting. Athletes self-monitored their performance after training using an online summative Google Form. The coach publicly posted performance-based rankings on the social media application WhatsApp. Results indicate that the intervention package positively improved all performance measures across all athletes. Social-validity measures were also favorable.     

The Effects of Appearance-Based Comments and Non-Appearance-Based Evaluations on Body Dissatisfaction and Disordered Eating Urges: An Ecological Momentary Assessment Study

The current study used ecological momentary assessment (EMA) to investigate whether appearance-based comments, social and performance-based evaluations affected levels of body dissatisfaction (BD) and urges to engage in disordered eating behaviors (DE) throughout daily life. A total of 620 participants completed a baseline questionnaire assessing sociodemographic variables. Participants then downloaded a mobile app which alerted them to complete short surveys assessing their levels of BD, DE urges, and experiences of receiving comments and evaluations six times per day for 7 days. Negative appearance-based comments predicted greater levels of state BD, while positive appearance comments predicted lower levels of state BD. Negative social and performance-based evaluations predicted an increase in state BD, while positive evaluations predicted a decrease in this outcome variable. No significant predictor was found for the DE urge outcomes. The present findings suggest that receiving negative and positive feedback in various domains of one’s life may predict opposite outcomes for body image. However, these effects do not necessarily associate with urges to engage in DE in a nonclinical population.     

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.     

客户支持对一线服务员工服务绩效的影响——基于自我验证理论的视角

基于自我验证理论, 文章探讨了客户支持能否通过组织自尊的中介作用促进员工服务绩效(角色内服务绩效和主动服务客户行为), 以及员工促进定向和内控的调节作用。针对3时间点的调查得到652名员工和139名主管的配对数据进行分析, 结果显示：(1)客户支持会显著正向影响员工组织自尊, 进而显著影响他们的角色内服务绩效和主动服务客户行为; (2)员工促进定向正向调节客户支持对员工组织自尊的影响; (3)员工内控负向调节客户支持对员工组织自尊的影响。研究结果拓展了员工服务绩效的机制研究, 为组织提升员工服务绩效提供了新的思路。     

Modeling the effects of perceived intuitiveness and urgency of various auditory warnings on driver takeover performance in automated vehicles

Existing driver models mainly account for drivers’ responses to visual cues in manually controlled vehicles. The present study is one of the few attempts to model drivers’ responses to auditory cues in automated vehicles. It developed a mathematical model to quantify the effects of characteristics of auditory cues on drivers’ response to takeover requests in automated vehicles. The current study enhanced queuing network-model human processor (QN-MHP) by modeling the effects of different auditory warnings, including speech, spearcon, and earcon. Different levels of intuitiveness and urgency of each sound were used to estimate the psychological parameters, such as perceived trust and urgency. The model predictions of takeover time were validated via an experimental study using driving simulation with resultant R squares of 0.925 and root-mean-square-error of 73 ms. The developed mathematical model can contribute to modeling the effects of auditory cues and providing design guidelines for standard takeover request warnings for automated vehicles.     

Eye-gaze behaviour of expert and novice surfers in a simulated surf environment

Skilled performance in sport often relies on looking at the right place at the right time. Differences in visual behaviour can thus characterise expertise. The current study examined visual attention associated with surfing expertise. Expert (n = 12) and novice (n = 12) surfers viewed 360-degree surfing videos in a head-mounted display. Eye-gaze, presence, and engagement were measured. Experts were faster to detect approaching high, and low waves, spent more time overall attending to high-performance value areas-of-interest (AOIs; pocket, shoulder, lip), and were more physically engaged. Group differences were not found for presence or simulator sickness. Outcomes show that surfing expertise is associated with more optimal visual attention to cues informing wave approach and wave dynamics. Experts look at these areas earlier than novices, and for more time overall. The findings suggest the performance advantages of early planning of motor actions, along with moment-to-moment adjustments while surfing.     

The mediational role of executive functions for the relationship between motor ability and academic performance in pediatric cancer survivors

IntroductionPediatric Cancer Survivors (PCS) bear a high risk for late effects within motor abilities (MAs) and executive functions (EFs). In typically developing children, these domains are interrelated and predictors of academic performance. The current study investigated (i) whether MAs and EFs are also interrelated in PCS, and (ii) whether EFs mediate the relation between MAs and academic performance.Methods78 PCS (7–16 years; M = 11.23; SD = 2.49) participated in this study. Three MAs were assessed: coordination and strength (using the German Motor Test) and endurance (using a cycle ergometer test). EFs were assessed: inhibition and cognitive flexibility (Color-Word Interference Test) and working memory (Block Recall test); and academic performance by questionnaire asking for children’s grade point average.ResultsPearson correlations revealed associations of coordination and strength with EFs and associations of all three MAs with academic performance. A multiple regression model revealed that among the three MAs, coordination was the only significant predictor of EFs (β = 0.42, p = .001). Lastly, mediation analyses revealed that the association of MAs with academic performance was mediated by EFs (indirect effect: β = 0.167, p = .003). Regarding individual motor abilities, this was only true for coordination and strength, but not for endurance.ConclusionResults show that MAs and EFs are interrelated in PCS and that EFs mediate the relationship between coordination and strength with academic performance. This may be important for the design of future physical activity interventions to improve MAs, EFs and academic performance.