System device for the technical detection of decision deviations in human-machine systems

Abstract

System device for the technical detection of decision deviations in human-machine systems, comprising at least one processing unit, a data acquisition unit for recording machine-internal decision state data and associated human interaction state data, a state correlation unit, and a deviation detection unit, wherein the system device is designed to technically link machine decision states with human interaction states, characterized by that the deviation detection unit, either hardware- or firmware-side, determines a time-dependent divergence between the correlated states and from this determines a technical deviation state of the human-machine system.

Description

Technical field

[0001] The invention relates to the technical field of human-machine interaction and system-side condition monitoring of technical systems. In particular, the invention relates to a system device that technically correlates machine decision states with human interaction states in order to reliably detect and react to deviations in system-side decisions. State of the art

[0002] In modern technical systems, decisions are increasingly supported by machine systems or generated autonomously, while human operators monitor, confirm, or influence these systems. Existing solutions either capture machine states or human interactions in isolation.

[0003] However, the current state of the art does not offer a system that can map machine decision states and human interaction states together in a single technical state representation and then system-level the determination of time-dependent deviations. Furthermore, solutions are lacking that can detect such deviations independently of application software and immediately trigger system-level feedback or limiting measures. Object of the invention

[0004] The object of the present invention is to provide a system device which: • captures machine-internal decision states and human interaction states, • these states are technically correlated with each other, • detects time-dependent decision deviations, • reliably identified persistent deviations, • enables system-side feedback or limiting measures, and • can be operated independently of application software. Summary of the invention

[0005] The task is solved by a system device for the technical detection of decision deviations in human-machine systems with the features of the claims.

[0006] The system device comprises at least one processing unit, a data acquisition unit for recording machine-internal decision state data and associated human interaction state data, a state correlation unit, and a deviation detection unit. The deviation detection unit determines, either in hardware or firmware, a time-dependent divergence between machine decision states and human interaction patterns and uses this to define a technical deviation state of the system. Detailed description of the invention

[0007] The system device according to the invention is designed as an independent technical unit or as part of a higher-level system.

[0008] The data acquisition unit records machine-internal decision state data as well as associated interaction state data from a human operator. This data can include temporal, sequential, or resource-related system parameters.

[0009] The state correlation unit transforms the recorded decision states and interaction states into a uniform technical state representation, resulting in a comparable and system-side evaluable representation.

[0010] The deviation detection unit analyzes the correlated states and identifies a time-dependent divergence between machine decision states and human interaction patterns. If such a divergence is found to persist over a predetermined system time, state sequence, or processing depth, the deviation detection unit recognizes a persistent decision deviation.

[0011] Upon detection of a deviation, a system-side feedback or restriction function can be activated, which technically influences machine decision approvals, interaction speeds, or execution states.

[0012] The detection of decision deviations is independent of application software. Optionally, a logging unit is provided that stores tamper-proof system status information about detected deviation states.

Claims

[1] System device for the technical detection of decision deviations in human-machine systems, comprising at least one processing unit, a data acquisition unit for recording machine-internal decision state data and associated human interaction state data, a state correlation unit, and a deviation detection unit, wherein the system device is designed to technically link machine decision states with human interaction states, characterized by , that the deviation detection unit, either hardware- or firmware-side, determines a time-dependent divergence between the correlated states and from this determines a technical deviation state of the human-machine system. [2] System device according to claim 1, characterized bythat a persistent decision deviation is detected when the identified divergence persists over a predetermined system time, state sequence, or processing depth, and that upon detection of such a deviation state, a system-side feedback or constraint function is activated, which technically influences machine decision approvals, interaction speeds, or execution states. [3] System device according to claim 1, characterized by that the detection of decision deviations is independent of application software and that a logging unit is provided which stores tamper-proof system status information about detected decision deviations.