Human-System Interaction Analysis for Military Pilot Activity and Mental Workload Determination

Cognitive Interaction Analysis in Human–Robot Collaboration Using an Assembly Task

Electronics ◽

10.3390/electronics10111317 ◽

2021 ◽

Vol 10 (11) ◽

pp. 1317

Author(s):

Alejandro Chacón ◽

Pere Ponsa ◽

Cecilio Angulo

Keyword(s):

Interaction Analysis ◽

Mental Workload ◽

Cognitive Task ◽

Physical Work ◽

Work Skills ◽

Dexterous Manipulation ◽

Assembly Task ◽

Cognitive Interaction ◽

Human Operators ◽

Assembly Tasks

In human–robot collaborative assembly tasks, it is necessary to properly balance skills to maximize productivity. Human operators can contribute with their abilities in dexterous manipulation, reasoning and problem solving, but a bounded workload (cognitive, physical, and timing) should be assigned for the task. Collaborative robots can provide accurate, quick and precise physical work skills, but they have constrained cognitive interaction capacity and low dexterous ability. In this work, an experimental setup is introduced in the form of a laboratory case study in which the task performance of the human–robot team and the mental workload of the humans are analyzed for an assembly task. We demonstrate that an operator working on a main high-demanding cognitive task can also comply with a secondary task (assembly) mainly developed for a robot asking for some cognitive and dexterous human capacities producing a very low impact on the primary task. In this form, skills are well balanced, and the operator is satisfied with the working conditions.

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How to resolve the paradox of mental workload when navigating and operating underwater. Experiences on a new Human System Interface

OCEANS 2009-EUROPE ◽

10.1109/oceanse.2009.5278221 ◽

2009 ◽

Author(s):

O. Kleindienst ◽

M. Lueth

Keyword(s):

Mental Workload ◽

Human System

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Transdisciplinary Assessment Matrix to Design Human-Machine Interaction

Advances in Transdisciplinary Engineering - Transdisciplinary Engineering for Complex Socio-technical Systems – Real-life Applications ◽

10.3233/atde200076 ◽

2020 ◽

Author(s):

Fabio Grandi ◽

Margherita Peruzzini ◽

Roberto Raffaeli ◽

Marcello Pellicciari

Keyword(s):

User Experience ◽

Interaction Analysis ◽

Mental Workload ◽

Physiological Data ◽

Human Machine Interaction ◽

Simulated Environments ◽

Assessment Matrix ◽

Physical Comfort ◽

Machine Interaction

Successful interaction with complex systems is based on the system ability to satisfy the user needs during interaction tasks, mainly related to performances, physical comfort, usability, accessibility, visibility, and mental workload. However, the “real” user experience (UX) is hidden and usually difficult to detect. The paper proposes a Transdisciplinary Assessment Matrix (TAS) based on collection of physiological, postural and visibility data during interaction analysis, and calculation of a consolidated User eXperience Index (UXI). Physiological data are based on heart rate parameters and eye pupil dilation parameters; postural data consists of analysis of main anthropometrical parameters; and interaction data from the system CAN-bus. Such a method can be adopted to assess interaction on field, during real task execution, or within simulated environments. It has been applied to a simulated case study focusing on agricultural machinery control systems, involving users with a different level of expertise. Results showed that TAS is able to validly objectify UX and can be used for industrial cases.

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