HCJun 26, 2017

Methodological Approach for the Design of a Complex Inclusive Human-Machine System

arXiv:1706.08461v110 citations
Originality Synthesis-oriented
AI Analysis

This addresses usability issues in industrial automation for vulnerable populations, but it appears incremental as it builds on existing frameworks like MEESTAR and project-specific use cases.

The paper tackles the problem of complex human-machine interfaces (HMIs) hindering effective use by vulnerable users like the elderly or disabled, proposing a methodological approach that integrates technical and ethical-legal-social requirements to design inclusive adaptive systems.

Modern industrial automatic machines and robotic cells are equipped with highly complex human-machine interfaces (HMIs) that often prevent human operators from an effective use of the automatic systems. In particular, this applies to vulnerable users, such as those with low experience or education level, the elderly and the disabled. To tackle this issue, it becomes necessary to design user-oriented HMIs, which adapt to the capabilities and skills of users, thus compensating their limitations and taking full advantage of their knowledge. In this paper, we propose a methodological approach to the design of complex adaptive human-machine systems that might be inclusive of all users, in particular the vulnerable ones. The proposed approach takes into account both the technical requirements and the requirements for ethical, legal and social implications (ELSI) for the design of automatic systems. The technical requirements derive from a thorough analysis of three use cases taken from the European project INCLUSIVE. To achieve the ELSI requirements, the MEESTAR approach is combined with the specific legal issues for occupational systems and requirements of the target users.

Foundations

The foundational work for this paper's niche, ranked by how specifically the neighbourhood builds on it — not by global fame.

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