Search

International audience; The Road Freight Transport (RFT) sector is continuously evolving, being confronted with intense competition and growing pressure from customers and suppliers, tight delivery times, and many regulations. All these factors lead the RFT sector to face multiple economic, environmental, and safety challenges. In these companies, the planner has a central position. The tasks of planner include supervising the transport round, keeping contact with the drivers during delivery, providing new instructions when needed, ensuring order follow-up with customers, etc. Such tasks require a high cognitive load which implies difficulties for planners in assessing the consequences of their decisions in terms of economic, environmental, and safety dimensions. In this study, principles of prospective ergonomics have been tested to support the transition from a human-based decision making to a computer-supported decision-making to anticipate the future computer-supported decision-making. We focused on the effect of system transparency and reliability. We confronted six planners with planning problems. We modified information available on planning to provide high and low levels of transparency. Starting from real issues, we also generated reliable and unreliable solutions (for these latter by adding invalid data). For each problem, planners were asked to assess the quality of the proposed solutions and indicators. The results showed than planners give a higher score to reliable scenarios displaying reliable information than to a less reliable scenario in which information is modified. This assessment of scenario is more adequate and easier with high transparency than with low transparency of information.

International audience; Automated systems changed the role of the human operator from active controller to supervisor of automated system. This new role comes with several human factors issues, as monitoring inefficiency. Some authors showed that it is possible to mitigate this monitoring performance drop using adaptive automation. Here, we assessed the consequences of a return to manual control with four different levels of automation reliability on eighty students. We compared the effect of the introduction of two manual sessions to exclusively automated sessions (total duration 90 min) using the MATB-II (i.e., intermittent vs permanent automation). Results showed that participants spend more time looking at the automated task in the 0% level reliability compared to 100% level of reliability over the time whatever the automation type. Manuals sessions in intermittent automation group had an impact on the time spend looking at the automated monitoring task.

ISBN 978-3-319-92284-3 (print), 978-3-319-92285-0 (online); International audience; Automated systems are becoming increasingly prevalent in our environment. This leads to a new tasks repartition between the human operator and automation. Understanding human-machine cooperation including potential failures has become a hot topic. In this study we focus on a possible negative consequence of automation: the complacency phenomenon. This phenomenon has been repeatedly observed in dynamic situations in which automation execute an action in order to relieve the human operator from his/her activity. In static task, automation often serves to simplify/pre-process the data and not to directly make a decision. The goal of automation in a static task (like planning) is to optimize an external representation and allow the human operator to make his choices more easily. The Eye Tracker is used to understand human behaviors and their strategies in these static situations. The purpose of this study is therefore to compare complacency to "action execution" from complacency to "data simplifica-tion". We confronted 96 participants to these two automation types on the Multi Attribute Task Battery. We also manipulated four levels of automation reliability (0%; 56.25%; 87.5%, 100%). In all these conditions we assessed complacency through the detection rate of automation failure. In addition, we used an eye tracker to assess a potential low level of suspicion regarding automation failure.