Towards Effective Interface Designs for Collaborative HRI in Manufacturing

Abstract

We present a comprehensive framework and test methodology for the evaluation of human-machine interfaces (HMI) and human-robot interactions (HRI) in collaborative manufacturing applications. An overview of the challenges that face current-and next-generation collaborative robot systems is presented, specifically focused on the interactions between man and machine, and a series of objectively quantitative and subjectively qualitative metrics are given to guide the development and assessment of interfaces and interactions. A generalized set of guidelines for the design of HMI is also proposed to address these challenges and thereby enable effective and intuitive diagnostics and error corrections when process failures occur. These guidelines are aimed at aiding researchers in developing effective interface and interaction technologies, maximizing operator situation awareness in human-robot collaborative manufacturing teams, promoting effective process and system diagnostics reporting, and enabling faster responses to equipment or application errors. CCS Concepts: • Human-centered computing → Collaborative interaction; User interface design; User centered design; • Computer systems organization → External interfaces for robotics;

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

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Towards a Holistic Approach to Studying Human–Robot Interaction in Later Life

“…Measurement of HRI studies has been conducted with a multitude of subjective and objective performance measures (Habermehl, 2017;Hoffman & Zhao, 2020;Marvel et al, 2020;Marvel et al, 2021;Murphy & Schreckenghost, 2013;Schermerhorn & Scheutz, 2011;Steinfeld et al, 2020). In this section, common performance measures in HRI studies that are relevant to this thesis are noted and defined.…”

Performance and interaction quality variations of a collaborative Cable-Driven Parallel Robot

“…Since there are human inter-individual differences in adaptation and development [22], the methodology is con-100 structed in order to allow the analysis of the team performance with any human using the CDPR [23]. The collected performance measures are objective and do not rely on survey or operator assessment [24]. In the scope of this paper, the usability of a CDPR is studied.…”