Testing a Multi-level Theory of Emotion in Organisations. Affective moods and emotions at work are now recognised internationally as important determinants of employee attitudes and behaviours at work, including job satisfaction, turnover, and performance. This collaborative project involves research teams in Australia and the United States, and entails three studies of the role of emotions in organisations. Based on experience-sampling methods, where participants report real-time data using ha ....Testing a Multi-level Theory of Emotion in Organisations. Affective moods and emotions at work are now recognised internationally as important determinants of employee attitudes and behaviours at work, including job satisfaction, turnover, and performance. This collaborative project involves research teams in Australia and the United States, and entails three studies of the role of emotions in organisations. Based on experience-sampling methods, where participants report real-time data using hand-held computers, the studies span within-person, between-persons, leadership, group, and organisational levels of analysis. The project also extends previous research by studying organisations as a source of depletion of regulatory resources that limit employees' potential to perform to their ability.Read moreRead less
A Scalable Theory of Behavior Composition for Practical Engineering Models of Human Performance. Minimizing human error and maximizing human performance is a major design goal in safety critical systems. The development of methods for affordable human performance modeling has widespread applicability for evaluating user-system interfaces. The compositional method explored here has been shown to make accurate predictions reduce model development time by an order of magnitude. Large safety critica ....A Scalable Theory of Behavior Composition for Practical Engineering Models of Human Performance. Minimizing human error and maximizing human performance is a major design goal in safety critical systems. The development of methods for affordable human performance modeling has widespread applicability for evaluating user-system interfaces. The compositional method explored here has been shown to make accurate predictions reduce model development time by an order of magnitude. Large safety critical applications, such as military or air traffic control systems, would benefit greatly. The proposed work tests whether the compositional methods will scale to more complex domains. The work will be coordinated with Australian industry, academia, and government research efforts.Read moreRead less
Balancing the needs of customers and employees following service failure: A dyadic psychosocial approach. Service industries dominate Australia's economy. When service fails, conflicts frequently ensue, leaving customers and employees feeling angry and stressed. Consequent social and economic costs are enormous. This project addresses the research priority of promoting and maintaining good health by identifying ways in which customers and employees can resolve service problems such that particip ....Balancing the needs of customers and employees following service failure: A dyadic psychosocial approach. Service industries dominate Australia's economy. When service fails, conflicts frequently ensue, leaving customers and employees feeling angry and stressed. Consequent social and economic costs are enormous. This project addresses the research priority of promoting and maintaining good health by identifying ways in which customers and employees can resolve service problems such that participants' psychosocial needs are met and outcomes for both parties are optimised. Findings will strengthen Australia's social and economic fabric by providing strategies to increase customer satisfaction and reduce worker stress. Service firms will benefit from a more loyal customer-base, and reduced employee absenteeism, turnover and compensation claims. Read moreRead less
Learning and Deciding Under Low Levels of Awareness: Representation Issues and Memory Processes. Human decision making is frequently sub-optimal and can be influenced by factors of which we are only dimly aware. At times, this sub-optimality produces large social, economic, and health costs. We address decisions made under low levels of awareness including those typically influenced by advertising and other marketing activities, such as pairing brands with images of attractive people. We examine ....Learning and Deciding Under Low Levels of Awareness: Representation Issues and Memory Processes. Human decision making is frequently sub-optimal and can be influenced by factors of which we are only dimly aware. At times, this sub-optimality produces large social, economic, and health costs. We address decisions made under low levels of awareness including those typically influenced by advertising and other marketing activities, such as pairing brands with images of attractive people. We examine the cognitive processes invoked by this pairing in order to determine how it competes with the provision of factual information. We aim to improve decision making in areas such as food choice and consumer understanding, as well as provide the knowledge base to support policy for regulating marketing communications.Read moreRead less