Situation Awareness (SA) is a distinct critical commodity for teams working in complex industrial systems and its measurement is a key provision in system, procedural and training design efforts. This article describes a study that was undertaken in order to compare three different SA measures (a freeze probe recall approach, a post trial subjective rating approach and a critical incident interview technique) when used to assess participant SA during a military planning task. The results indicate that only the freeze probe recall method produced a statistically significant correlation with performance on the planning task and also that there was no significant correlation between the three methods, which suggests that they were effectively measuring different things during the trials. In conclusion, the findings, whilst raising doubts over the validity of post trial subjective rating and interviewbased approaches, offer validation evidence for the use of freeze probe recall approaches to measure SA. The findings are subsequently discussed with regard to their implications for the future measurement of SA in complex collaborative systems. Relevance to IndustrySituation Awareness is a critical commodity for teams working in industrial systems and designers and analysts alike require reliable and valid methods for assessing the impact of new systems, interfaces, training programs and procedures on the level of situation awareness held by teams. This article presents a review and comparison of situation awareness measurement approaches for use in complex industrial systems and provides recommendations on the types of methods to use during situation awareness assessments.

The Internet of Things (IoT) is an emerging paradigm branded by heterogeneous technologies composed of smart ubiquitous objects that are seamlessly connected to the Internet. These objects are often deployed in open environments to provide innovative services in various application domains such as smart cities, smart health, and smart communities. These IoT devices produce a massive amount of confidentiality and security-sensitive data. Thus, security of these devices is very important in order to ensure the safety and effectiveness of the system. In this paper, a decentralized authentication and access control mechanism is proposed for lightweight IoT devices and is applicable to a large number of scenarios. The mechanism is based on the technology of the fog computing and the concept of the public blockchain. The results gained from the experiments demonstrate a superior performance of the proposed mechanism when compared to a state-of-the-art blockchainbased authentication technique.

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Background and Aims Adaptations with different modes of delivery and target addictions have found highly divergent rates of success for Community Reinforcement Approach and Family Training (CRAFT). This study aims to clarify which (1) treatment components and (2) participant characteristics contribute to rates of identified patient (IP) treatment entry.Method Systematic review of CRAFT evaluation studies of all designs (controlled and uncontrolled) with data synthesis and narrative analysis of addiction treatment services and university research departments in North America and Europe.Results A total of 691 concerned significant others (CSOs), predominately female spouses/parents, participating in 20 distinct treatment conditions from 14 studies. The main outcome of IP treatment entry rate reported by CSOs up to 12 months after starting CRAFT with key predictors/correlates including IP addiction, IP-CSO relationship, CRAFT modality and integration of treatment for IP. Meta-analysis found CRAFT to be twice as effective as controls/comparison groups. Multi-modality treatment, including both individual and group sessions, yielded the highest IP treatment entry rates (77 and 86%), with progressively lower rates for individual (12.5-71%), group (60%) and self-directed workbook (13.3-40%) modalities. While all five studies targeting gambling addiction had consistently low rates (12.5-23%), other treatment components, including therapist training, treatment fidelity and integrating treatment for the IP, were implicated. Conclusions Adaptations of Community Reinforcement Approach and Family Training for different delivery modalities and addictions have yielded widely varying rates of treatment engagement for the identified patient, with those offering the most comprehensive support to the concerned significant other, including individual and group sessions, having highest levels of engagement success.

Since 1958 more than 80 journal papers from the mainstream ergonomics literature have used either the words 'complex' or 'complexity' in their titles. Of those, more than 90% have been published in only the past 20 years. This observation communicates something interesting about the way in which contemporary ergonomics problems are being understood. The study of complexity itself derives from non-linear mathematics but many of its core concepts have found analogies in numerous non-mathematical domains. Set against this cross-disciplinary background, the current paper aims to provide a similar initial mapping to the field of ergonomics. In it, the ergonomics problem space, complexity metrics and powerful concepts such as emergence raise complexity to the status of an important contingency factor in achieving a match between ergonomics problems and ergonomics methods. The concept of relative predictive efficiency is used to illustrate how this match could be achieved in practice. What is clear overall is that a major source of, and solution to, complexity are the humans in systems. Understanding complexity on its own terms offers the potential to leverage disproportionate effects from ergonomics interventions and to tighten up the often loose usage of the term in the titles of ergonomics papers. STATEMENT OF RELEVANCE: This paper reviews and discusses concepts from the study of complexity and maps them to ergonomics problems and methods. It concludes that humans are a major source of and solution to complexity in systems and that complexity is a powerful contingency factor, which should be considered to ensure that ergonomics approaches match the true nature of ergonomics problems.