This paper proposes a two-part contribution to the human factor issues raised by prospect of deployment swarms autonomous robots under supervision operator. First, we propose generic framework for system description that allows us analyze and guide design automated systems. Second, way some highly adaptive systems such as can be perceived operators, especially representational gaps between man machine impact global performances.

Fatigue, and many other human performance factors, impact worker wellbeing, thus production quality efficiency. Adopting the Industry 5.0 perspective, we propose that integrating models into wider industrial system can improve modeling accuracy lead to superior outcomes. Integrating our Worker Fatigue Model as part of their architect model allowed Airbus, a leading aircraft manufacturer, more accurately predict function workforce makeup, which could be combination workers robots, or highly...

Abstract As artificial intelligence (AI) is increasingly present in different aspects of society and its harmful impacts are more visible, concrete methods to help design ethical AI systems limit currently encountered risks must be developed. Taking the example a well-known Operations Research problem, Nurse Rostering Problem (NRP), this paper presents way close gap between abstract principles on-the-ground applications with two steps. We first propose normative step that uses dedicated...

Interest in the area of collaborative Unmanned Aerial Vehicles (UAVs) a Multi-Agent System is growing to compliment strengths and weaknesses human-machine relationship. To achieve effective management multiple heterogeneous UAVs, status model agents must be communicated each other. This paper presents effects on operator Cognitive Workload (CW), Situation Awareness (SA), trust performance by increasing autonomy capability transparency through text-based communication UAVs human agents. The...

In this paper, we present a process to simulate 3D data; as an unmanned combat aerial vehicle (drone) equipped with Ladar sensor could do. The data obtained are colored point clouds in where potential targets highlighted. Our objective these simulated corpus of cloud is explore the usage Virtual Reality settings validate selection target. To do that detail implementation VR headset visualize our data. We also introduce metric estimate visibility

This paper deals with a return of experience on the TAPAS project. It aims at presenting method and tools developed for analyzing assessing different flight collaborative configurations by examining their effects pilots. The resulting classification activities in terms mental workload level is then used to design new mechanisms so as ease unlock some these critical collaborations.

The interest in mental workload (MWL) has strongly increased over the last 40 years ergonomics and engineering studies. However, subject is still very controversial there a debate on dimensions to be considered for representing estimating workload. This paper reinvestigates modeling of concept, by combining model Hart Staveland (1988), which considers this concept as multidimensional construction, models Sperandio (1971) Leplat (2006), focus regulation activity operator. combination reveals...

The competitive context in which the number of new audiovisual services increases requires taking user preferences into account to maintain best possible quality experience. aim experiment presented this paper is study how standardized ITU subjective measures may be supplemented by physiological measurements. Subjective assessments (ITU-T P.920, P.911) and measurements (Blood Volume Pulse, Temperature, Skin Conductance Eye Tracking) are collected from 34 subjects viewing three different 2D...

In this paper we present HeloVis: a 3D interactive visualization that relies on immersive properties to improve the user performance during SIGINT analysis. SIGINT, which stands for SIGnal INTelligence, is field facing many challenges like huge amounts of data, complex data and novice users. HeloVis draws perceptive biases, highlighted by Gestalt laws, depth perception enhance recurrence contained into abstract from interferences such as noise or missing data. paper, first it brings visual...

This paper addresses the challenge of embedded computing resources required by future autonomous Unmanned Aircraft Systems (UAS). Based on an analysis onboard functions that will lead to higher levels autonomy, we look at most common UAS tasks first propose a classification considering categories such as flight, navigation, safety, mission and executing entities human, offline machine, system. We then analyse how given combination can autonomy defining level. link applications, those level...

Collaborative virtual environments allow people to work together while being distant. At the same time, empathic computing aims create a deeper shared understanding between people. In this paper, we investigate how improve perception of distant collaborative activities in environment by sharing users’ activity. We first propose several visualization techniques for activity multiple users. selected one these pilot study and evaluated its benefits controlled experiment using reality adaptation...

Self-organisation in robot swarms can produce collective behaviours, particularly through spatial self-organisation. For example, it be used to ensure that the robots a swarm move collectively. However, from designer’s point of view, understanding precisely what happens allows these behaviours emerge at macroscopic level remains difficult task. The same behaviour come multiple different controllers (ie control algorithm robot) and single controller give rise sometimes caused by slight...

Researchers have largely neglected the evolutionary aspect of human-machine relations over time. To account for this and thus better design decision-support systems, authors developed a framework tested it with individual distributed decision makers.

The focus of visual attention has been argued to play a key role in object recognition. Many computational models were proposed estimate locations eye fixations driven by bottom-up stimuli. Most these rely on pyramids consisting multiple scaled versions the scene. This design aims at capturing fact that neural cells higher areas tend have larger receptive fields (RFs). On other hand, very few represent multi-scaling resulting from eccentricity-dependent RF sizes within each layer, also known...

Several studies have shown a test material dependency on perceived quality. Consequently, methods for evaluating AV quality should take account of influence contents corpus (regarding audio, video and relationship between audio video) to avoid uncontrolled effects. In this paper, technical, semantic hedonic dimensions (including different descriptors) were used characterize contents. Results significant effects modality, dynamic interest descriptors the viewer perception. It also seems that...

In complex systems such as cockpits or unmanned systems, operators manage a set of tasks with high temporal dynamics. Frequent changes situation within the same mission can sometimes induce loss operators' Situation Awareness.

Real-time and high-intensity teamwork management is complex, as team leaders must ensure good results while also considering the well-being of members. Given that stress other factors directly impact members’ output volume error rate, these be aware manage levels in combination with allocating new work. This paper examines methods for visualizing each member’s status mixed reality, which, combined a simulated model virtual members, allows leader to take into account individual statuses when...