情绪在危机新闻框架和团体危机回应中的作用

采用2(新闻框架类型:诱发气愤情绪或诱发悲伤情绪)×2(危机事件团体回应类型:惩罚型或补偿型)×2(团体回应中情绪感染力的呈现情况:呈现或缺乏)的被试间实验设计,探讨不同版本的危机事件新闻报道诱发出的不同情绪如何影响个体的信息加工,以及情绪反应怎样影响个体对组织随后回应策略的偏好。结果发现:气愤情绪促使公众采用启发性加工方式,悲伤情绪促使公众采用系统性加工方式;相比于悲伤情绪,气愤情绪会导致公众对公司更加负面的态度;惩罚型回应信息的可信性更高;惩罚型和补偿型回应信息使公众对企业的态度从比较消极转变为偏向积极;具有强烈情绪感染力的回应信息更容易降低气愤组对企业的责任归因程度,并进而促进公众对企业态度的改变;公众的气愤和悲伤情绪水平在接受企业回应后明显减弱,但没有达到基线水平。结果表明,在面对危机事件时,新闻框架的类型、企业对危机事件的回应方式以及回应中的情绪感染力,会结合在一起,制约公众对危机事件的知觉以及对企业的判断。     

A Study of the Impact of Informed Consent Procedures on Participant Responses in Trauma-Related Research

Researchers and ethics board members are often concerned about the possibility of adverse reactions to trauma-related research. While research has shown that participants in trauma-related studies rarely experience adverse reactions, mild short-term emotional distress is common. While a number of protections have been suggested to minimize risks for more vulnerable subgroups of participants, no research to date has tested how modifications to informed consent procedures may affect the data collected and participant reactions to the research. One-hundred and forty-five college students were separated into five conditions with different modifications to the informed consent procedures. Participants completed surveys on trauma experience, posttraumatic stress, coping, and reactions to research participation. The results showed no differences among the conditions on all outcome measures. It appears that modifications to informed consent procedures geared toward minimizing risk do not affect the quality of the data collected nor change reactions to participating in trauma-related research.     

不同情感强度正性生活事件的情感和行为反应:多模型的检验和整合

3个实验探讨情感强度不同正性生活事件对个体情感和行为反应的影响。发现:(1)面对复合正性生活事件(1高正+1低正),个体会感觉比面对1个单独的高正性情感强度事件的正性感受更低,出现平均效应,2个正性生活事件不如1个好;进一步研究发现:(2)当复合正性生活事件为异类时,出现平均效应;当事件为同类时,出现累加效应;(3)当复合正性生活事件有明显的时间特点时,个体加工符合峰-终定律的解释。     

A projective assessment of autonomous motivation in children: Correlational and experimental evidence

This article presents two studies aimed at validating a new TAT-like projective measure of autonomous motivation in children. Study 1 assesses the validity of the new measure by correlating it with self-report questionnaires of autonomous motivation, positive and negative affect, task value and mastery goal orientation. Study 2 is an experiment in which autonomous motivation is manipulated and then assessed with the new projective measure and with a self-report scale. Results of both studies support the validity of the new projective measure. In study 2, regression analysis suggests that the new projective measure is sensitive to aspects of experimentally induced autonomous motivation that are not captured by a self-report measure.

Sensorimotor representation and knowledge-based reasoning for spatial exploration and localisation

We investigate a hybrid system for autonomous exploration and navigation, and implement it in a virtual mobile agent, which operates in virtual spatial environments. The system is based on several distinguishing properties. The representation is not map-like, but based on sensorimotor features, i.e. on combinations of sensory features and motor actions. The system has a hybrid architecture, which integrates a bottom-up processing of sensorimotor features with a top-down, knowledge-based reasoning strategy. This strategy selects the optimal motor action in each step according to the principle of maximum information gain. Two sensorimotor levels with different behavioural granularity are implemented, a macro-level, which controls the movements of the agent in space, and a micro-level, which controls its eye movements. At each level, the same type of hybrid architecture and the same principle of information gain are used for sensorimotor control. The localisation performance of the system is tested with large sets of virtual rooms containing different mixtures of unique and non-unique objects. The results demonstrate that the system efficiently performs those exploratory motor actions that yield a maximum amount of information about the current environment. Localisation is typically achieved within a few steps. Furthermore, the computational complexity of the underlying computations is limited, and the system is robust with respect to minor variations in the spatial environments.     

网络成瘾的社会-心理-生理模型及研究展望

对于网络成瘾,目前还没有统一的诊断量表,相应的研究手段和研究方法也不够成熟,有关的理论解释更有待于进一步探讨。以众多实验和理论研究成果为基础提出的“社会-心理-生理”整合模型也许能更好地解释这一现象。网络成瘾者的大脑活动变化规律,网络虚拟情境的特征及其与上网行为、个性特征等的交互影响,以及网络交互过程中的情感交流和情感识别等问题,将是今后网络成瘾研究的重要课题。     

Public perception of autonomous vehicles: A qualitative study based on interviews after riding an autonomous shuttle

Autonomous vehicles (AVs) can potentially compensate for human error whilst driving. Thus, the number of accidents and the amount of congestion, emissions and fuel consumption could be reduced. For such reduction to occur, insights into public acceptance of AVs must be considered because they are a crucial factor for the successful implementation of AVs in existing traffic systems.PurposeThis study aims to explore (1) the mobility behaviour of current passengers, (2) the perception of the public of how AVs can be applied, (3) the perceived challenges of AVs in terms of integration into existing traffic systems, (4) the general attitude of the public towards AVs and (5) the perceived safety of passengers after riding an autonomous shuttle with a maximum SAE level of 3 in the setting of mixed traffic.MethodThis qualitative study was conducted in Carinthia (Austria) in September 2018. Interviews were conducted with 19 participants aged between 20 and 75 years. The participants were recruited through purposeful sampling, and data were collected through in-depth, semistructured interviews which were recorded, transcribed, organised and analysed using systematic, qualitative content analysis.ResultsResults show that transport mobility plays an important role in social life. In rural areas, AVs can shift transportation modes from private cars to public transportation. The respondents perceive AVs as an alternative more than as a substitute for existing means of transportation. With the integration of AVs into existing traffic systems, the transportation of goods and people could be improved despite related uncertainties. This study explores different aspects of societal, technical, legal and economic challenges. Overall, the respondents feel positive about AVs. Responses regarding safety show that experience with AVs and speed are key factors.Originality/ValueThis study is one of the first to explain qualitatively public perceptions of AVs after an actual ride in an AV under real-life conditions. The results, which help understand AVs from the public’s perspective, may also provide guidelines for the successful integration of AVs in Austria.     

Effects of explanation types and perceived risk on trust in autonomous vehicles

Despite technological advances, trust still remains as a major issue facing autonomous vehicles. Existing studies have reported that explanations of the status of automation systems can be an effective strategy to increase trust, but these effects can differ depending on the forms of explanations and autonomous driving situations. To address this issue, this study examines the effects of explanation types and perceived risk on trust in autonomous vehicles. Three types of explanations (i.e., no, simple, and attributional explanations) are designed based on attribution theory. Additionally, four autonomous driving situations with different levels of risk are designed based on a simulator program. Results show that explanation type significantly affects trust in autonomous vehicles, and the perceived risk of driving situations significantly moderates the effect of the explanation type. At a high level of perceived risk, attributional explanations and no explanations lead to the lowest and highest values in trust, respectively. However, at a low level of perceived risk, these effects reverse.     

Neuroevolution-based autonomous robot navigation: A comparative study

The field of neuroevolution has achieved much attention in recent years from both academia and industry. Numerous papers have reported its successful applications in different fields ranging from medical domain to autonomous systems. However, it is not clear which evolutionary optimization techniques lead to the best results. In this paper, multilayer perceptron (MLP) neural networks (NNs) are trained and optimized using four advanced bio-inspired evolutionary algorithms (EA). The algorithms are Multi-Verse Optimizer (MVO), Moth-flame optimization (MFO), Cuckoo Search (CS) and Particle Swarm Optimization (PSO). Each algorithm is equipped with two operators: evolutionary population dynamics and mutation, which impact on exploration and exploitation. Optimized MLPs are then used for the navigation of an autonomous robot. Accuracy and area under the curve metrics are used for the evaluation and comparison metrics. Moreover, two well-regarded gradient descent algorithms including Back propagation (BP) and Levenberg Marquardt (LM) are utilized to validate the results obtained by evolutionary-based MLP trainers. It is observed that MLPs developed using MFO are the most robust ones among MLPs trained using other evolutionary and gradient descent algorithms.     

Does students’ self-determined motivation toward Physical Education influence the effectiveness of a fitness teaching unit? A cluster-randomized controlled trial and cluster analysis

ObjectiveThe aim was to compare the effect of a Physical Education (PE)-based fitness teaching unit to improve cardiorespiratory fitness levels between students’ motivational profiles toward PE in high-school students using cluster analysis.MethodOne hundred and eighty-one high school students (final sample 165, 52.1% females; M_age = 12.9 ± 0.9) from nine pre-established classes were cluster-randomly assigned into an experimental group (n = 120) and control group (n = 61). The experimental group performed a fitness teaching unit twice a week for nine weeks. Students’ baseline of self-determined motivation toward PE was measured by the Spanish version of the Perceived Locus of Causality-II Scale. Cardiorespiratory fitness was measured before and after the intervention through the 20-m shuttle run test.ResultsBased on a two-stage cluster analysis approach, four clusters were identified in both groups. Results showed that the experimental group students within the high self-determined motivational profiles toward PE (i.e., clusters 2 and 4) statistically significantly improved their cardiorespiratory fitness levels compared with the control group students in cluster 2 (i.e., those with moderate self-determined motivational profile toward PE) (p < 0.05; d = 0.37–0.48). However, statistically significant differences between the students with a moderate autonomous motivation profile toward PE (i.e., cluster 3 of the experimental group) and the control group students in clusters 2 and 3 were not found (p > 0.05). Conclusions: With the objective of increasing all students’ cardiorespiratory fitness levels, PE teachers should encourage students’ motivation toward PE applying specific motivational strategies during PE lessons.