How do principles for human-centred automation apply to Disruption Management Decision Support?

While automation of signal and route setting is routine, the use of automation or decision support in disruption management processes is far less common. Such support offers significant advantages in optimising re-planning of both timetable and resources (crew and rolling stock), and has value in offering a 'shared view' of re-planning across the many actors manage disruption. If this vision is to be realised, however, disruption management decision support and automation must adhere to proven principles for effective human-agent cooperation. This paper synthesises data from a programme of work to understand user requirements for automated disruption support tools. It then compares these outputs with two frameworks for human-centred automation - one general (Klein et al's [2004] ten challenges for automation) and one transport specific (Balfe et al’s [2012] principles for transport automation). Emergent design requirements include the need for iterative modification of rescheduling parameters throughout a disruption, visibility of the reasoning behind options, accountability remaining in the hands of disruption controllers, and the need for the automated disruption support tools to take a multi-dimensional view of disruption that varies depending on the event encountered. The paper reflects on the practical utility of high-level design principles for automated disruption support tools

Going one step further: towards cognitively enhanced problem-solving teaming agents

Operating current advanced production systems, including Cyber-Physical Systems, often requires profound programming skills and configuration knowledge, creating a disconnect between human cognition and system operations. To address this, we suggest developing cognitive algorithms that can simulate and anticipate teaming partners' cognitive processes, enhancing and smoothing collaboration in problem-solving processes. Our proposed solution entails creating a cognitive system that minimizes human cognitive load and stress by developing models reflecting humans individual problem-solving capabilities and potential cognitive states. Further, we aim to devise algorithms that simulate individual decision processes and virtual bargaining procedures that anticipate actions, adjusting the system’s behavior towards efficient goal-oriented outcomes. Future steps include the development of benchmark sets tailored for specific use cases and human-system interactions. We plan to refine and test algorithms for detecting and inferring cognitive states of human partners. This process requires incorporating theoretical approaches and adapting existing algorithms to simulate and predict human cognitive processes of problem-solving with regards to cognitive states. The objective is to develop cognitive and computational models that enable production systems to become equal team members alongside humans in diverse scenarios, paving the way for more efficient, effective goal-oriented solutions

How do principles for human-centred automation apply to Disruption Management Decision Support?

While automation of signal and route setting is routine, the use of automation or decision support in disruption management processes is far less common. Such support offers significant advantages in optimising re-planning of both timetable and resources (crew and rolling stock), and has value in offering a 'shared view' of re-planning across the many actors manage disruption. If this vision is to be realised, however, disruption management decision support and automation must adhere to proven principles for effective human-agent cooperation. This paper synthesises data from a programme of work to understand user requirements for automated disruption support tools. It then compares these outputs with two frameworks for human-centred automation - one general (Klein et al's [2004] ten challenges for automation) and one transport specific (Balfe et al’s [2012] principles for transport automation). Emergent design requirements include the need for iterative modification of rescheduling parameters throughout a disruption, visibility of the reasoning behind options, accountability remaining in the hands of disruption controllers, and the need for the automated disruption support tools to take a multi-dimensional view of disruption that varies depending on the event encountered. The paper reflects on the practical utility of high-level design principles for automated disruption support tools

Seven Guidelines for Designing the User Interface in Robotic Process Automation

Robotic Process Automation (RPA) aims to automate rule-based business process tasks by software robots (bots) mimicking human interactions. Despite the partial automation achieved with RPA, humans still need to interact with the bots, which requires appropriate user interfaces. However, existing RPA research has not evaluated RPA from a software-ergonomic perspective so far and no corresponding user interface design guidelines exist. The objective of this paper is to evaluate the usability of RPA bots in industry and to provide user interface design guidelines to bot developers. The results we obtained from 50 questionnaires filled by RPA users indicate that both the input/output and the dialogue interfaces of RPA need to be improved, especially regarding error tolerance, perceptibility, directability of user’s attention, suitability for the task, and availability. Finally, we derive seven guidelines for designing the user interface of RPA bots. Potential improvements include, among others, the quality of error messages, the efforts for error handling, and the monitoring of the current status of the tasks assigned to the bot

Human-Agent Teamwork in Cyber Operations: Supporting Co-evolution of Tasks and Artifacts with Luna

Abstract. In this article, we outline the general concept of coactive emergence, an iterative process whereby joint sensemaking and decision-making activities are undertaken by analysts and software agents. Then we explain our rationale for the development of the Luna software agent framework. In particular, we focus on how we use capabilities for comprehensive policy-based governance to ensure that key requirements for security, declarative specification of task-work, and built-in support for joint activity within mixed teams of humans and agents are satisfied

Artificial Companion: building a impacting relation

International audienceIn this paper we show that we are in front of an evolution from traditional human-computer interactions to a kind of intense exchange between the human user and new generation of virtual or real systems -Embodied Conversational Agents (ECAs) or affective robots- bringing the interaction to another level, the "relation level". We call these systems "companions" that is to say systems with which the user wants to build a kind of life- long relationship. We thus argue that we need to go beyond the concepts acceptability and believability of system to get closer to human and look for "impact" concept. We will see that this problematic is shared between the community of researchers in Embodied Conversational Agents (ECAs) and in affective robotics fields. We put forward a definition of an "impacting relation" that will enable believable interactive ECAs or robots to become believable impacting companions

Aviation Automation and CNS/ATM-related Human-Technology Interface: ATSEP Competency Considerations

Abstract The aviation industry has, no doubt, undergone profound transformations ever since the first powered aircraft flight on December 17, 1903. An especially noticeable aspect of the transformations is in the area of automation. Remarkably, aviation operations are becoming increasingly automated and it is expected that the wind of change sweeping through the industry will be getting stormier as new technologies emerge especially within the context of the emerging prospects of intelligent technologies, which may ultimately enthrone complete automated or technology-based intelligent decision making. Perhaps, in no sphere of the aviation system has there been, in recent times, a much more lively and sustained exhibition of the spirit of automation than in the realm of communications, navigation, surveillance/air traffic management (CNS/ATM). This scenario, invariably, imposes far-reaching obligations on and have wide-ranging implications for air traffic safety electronics personnel (ATSEP) – the ICAO-recognized nomenclature for personnel involved and proven competent in the installation, operation, and/or maintenance of a CNS/ATM system. This paper explores, based on a systematic review of extant literature, the concept of aviation automation in the context of the broader conceptual and theoretical underpinnings of automation and with an emphasis on automated CNS/ATM systems. The primary aim is to examine the implications of an automated CNS/ATM environment on aspects relating to the roles, tasks, competence, and training of ATSEP within the framework of the safety-criticality of air traffic management. Based on arguments regarding ATSEP competency considerations in the context of an automation-rich CNS/ATM environment, a conceptual model of ATSEP competencies and a model of competency-based, human-technology ATSEP task flow are proposed