Team situation awareness within the context of human-autonomy teaming

Effective team communication, a fundamental part of team coordination, is crucial for both effective Team Situation Awareness (TSA) and team performance. In this study, we looked at the role that team interaction (i.e., more specifically team verbal behaviors) played in TSA and team performance in order to better understand Human-Autonomy Teaming (HAT). We first analyzed team verbal behaviors (i.e., pushing and pulling information) across conditions of human-autonomy teams and human-human teams, and then analyzed their relationship with TSA and team performance via Growth Curve Modelling (GCM). Good teamwork involves anticipating the needs of teammates and that means pushing information before it is requested. Therefore, if things are going well, there should be little need for pulling information. In this study’s task, participants were instructed to push information to others, and over time master the specific timing of information sharing to the intended recipient. Findings indicate that pushing information was positively associated with TSA and team performance, and human-autonomy teams had lower levels of both pushing and pulling information than all-human teams. Through this study, we have learned that anticipation of other team member behaviors and information requirements in human-autonomy teams are important for effective TSA and team performance. In order to make HAT more effective in terms of teamwork, we need to develop mechanisms to enhance pushing information within HAT.     

Enhancing treatment effectiveness through social modelling: A pilot study

Objective: Medical treatments take place in social contexts; however, little research has investigated how social modelling might influence treatment outcomes. This experimental pilot study investigated social modelling of treatment effectiveness and placebo treatment outcomes.

Design: Fifty-nine participants took part in the study, ostensibly examining the use of beta-blockers (actually placebos) for examination anxiety. Participants were randomly assigned to observe a female confederate report positive treatment effects (reduced heart rate, relaxed, calm) or feeling no different.

Main outcome measures: Heart rate, anxiety and blood pressure were assessed, as were symptoms and attributed side effects.

Results: Heart rate decreased significantly more in the social modelling compared to control condition, p = .027 (d = .63), and there were trends towards effects in the same direction for both anxiety, p = .097 (d = .46), and systolic blood pressure, p = .077 (d = .51). Significant pre-post placebo differences in heart rate, anxiety and diastolic blood pressure were found in the social modelling group, ps < .007 (ds = .77–1.37), but not the control condition, ps > .28 (ds = .09–.59).

Conclusions: Social observation of medication effectiveness enhanced placebo effectiveness in heart rate, and showed a trend towards enhancing treatment effectiveness in both anxiety and systolic blood pressure. Social modelling may have utility in enhancing the effectiveness of many active medical treatments.     

Learning in the brain–computer interface: insights about degrees of freedom and degeneracy from a landscape model of motor learning

In this paper, we examine the role of degrees of freedom and their degeneracy in learning in the brain–computer interface paradigm. Though the traditional notion of degrees of freedom in motor learning gave emphasis to muscle and joint activity, the broader concept of dimensions of behavior is relevant to brain–computer interface learning where there is no muscle activity. The role of degeneracy in the dimensions of brain activity is proposed to enhance learning through robustness to stability loss and adaptability in the search for new stable states. Principles for the application of augmented information for learning to coordinate and control the degenerate degrees of freedom in the brain–computer interface are outlined.     

小麦中烟曲霉生长温度与水分活度预测模型的建立

为快速预测和监控引起小麦霉变的烟曲霉的生长,在15～40℃温度及0.70～0.96水分活度下进行小麦储藏模拟实验,建立和验证烟曲霉D6生长的一级和二级预测模型。结果表明,一级生长模型中Bo-ltsmann模型优于Logistic模型。以Boltsmann模型拟合数据建立二级模型,采用平方根模型拟合,得烟曲霉D6的最低生长温度和水分活度分别为5.784℃和0.721。经验证,平方根模型能较好描述烟曲霉D6最大比生长速率与温度、水分活度之间的对应关系。     

Quelles méthodes et quelle modélisation d’analyse de l’activité de travail de l’encadrement ? L’exemple de l’encadrement des chantiers de la construction

By referring to the ergonomic analysis of work and to the management sciences, the authors propose an analysis model of the managers’ activity. Until then, few researchs were realized in ergonomics science with this population which has to prepare and to organize the works of other operators. According to the authors, it is possible to apply to this population the model of “the centre de décision”. It allows to understand how their activity is determined by “upstream” centres and then how it determines the activity of centres “approval”. Applied to the project and site managers, this model brings solutions to transform their work and the work of the workmen.     

智力和元认知技能在发现学习中的作用:任务复杂性的影响

采用自编的计算机模拟发现学习任务,以49名大学生为被试,探讨了在简单和复杂发现学习任务中,智力、元认知技能和学习成绩三者之间的关系。结果发现:在简单任务中,三者关系基本符合混合模型;进行过多的元认知活动,并不能提高学习效果。在复杂任务中,智力对学习成绩起主要预测作用。随着任务复杂性的增加,智力对学习的影响也随之变化,符合难度阈限理论的假设。任务复杂性不同时,智力、元认知技能和发现学习成绩之间的关系也不同,在一定程度上验证了难度阈限扩展理论。     

Strategic adaptation to performance objectives in a dual-task setting

How do people interleave attention when multitasking? One dominant account is that the completion of a subtask serves as a cue to switch tasks. But what happens if switching solely at subtask boundaries led to poor performance? We report a study in which participants manually dialed a UK‐style telephone number while driving a simulated vehicle. If the driver were to exclusively return his or her attention to driving after completing a subtask (i.e., using the single break in the xxxxx‐xxxxxx representational structure of the number), then we would expect to see a relatively poor driving performance. In contrast, our results show that drivers choose to return attention to steering control before the natural subtask boundary. A computational modeling analysis shows that drivers had to adopt this strategy to meet the required performance objective of maintaining an acceptable lateral position in the road while dialing. Taken together these results support the idea that people can strategically control the allocation of attention in multitask settings to meet specific performance criteria.     

Impulsivity and reward sensitivity within the pen model: A test of discriminant hypotheses

Impulsivity and reward sensitivity are often treated as interchangeable constructs. This conflation may be traced back to Gray’s interpretation of impulsivity as the trait level manifestation of the Behavioral Activation System (BAS), that mediates sensitivity to rewards. In this study (N = 696) we evaluated discriminant hypotheses regarding the relationships between BAS-mediated reward sensitivity, impulsivity and Eysenck’s PEN superfactors. We hypothesized that reward sensitivity would be mainly linked with Extraversion, and that impulsivity would be primarily connected with Psychoticism. Hypotheses were tested using structural equation modelling and equality constraints tests. Results mostly supported our expectations: reward sensitivity was more strongly related to Extraversion than to the other PEN superfactors, while impulsivity was more strongly related to Psychoticism and Neuroticism. Implications for BAS and impulsivity research are discussed.     

Beyond Therapy and Enhancement: The Alteration of Human Nature

With the rapid progress and considerable promise of nanobiotechnology/neurosciences there is the potential of transforming the very nature of human beings and of how humans can conceive of themselves as rational animals through technological innovations. The interface between humans and machines (neuro-digital interface), can potentially alter what it means to be human, i.e., the very idea of human nature and of normal functioning will be changed. In this paper, I argue that we are potentially on the verge of a paradigm shift in terms of the ends and goals of techno-science and its applications in the biomedical sciences. In particular, the development of brain-computer interfaces could reconceptualize the very notion of what it means to be human. Hence, we should not limit our reflections of applications in terms of therapy and enhancement but also include an examination of applications aiming at the alteration of human nature. To this end I will first delineate the potential paradigm shift and then map out four distinct clusters of concerns in relation to the brain-computer interface. Finally, I argue that our moral and philosophical reflections should follow a procedural model based on managed consensus due to our pluralistic context.