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D6.1 Report on HRC Human factors - ABSTRACT
This document concludes the first part of the work realized to tackle the important issue of Human Factors within the SHAREWORK project. Its content was realized in collaboration with the project’s use-cases (ALSTOM, CEMBRE, GOIZPER, NISSAN) and the technical partners (EURECAT, INTRASOFT, LMS, RWTH, CNR and IWU). In this report, we detail the science-based methodology, observations, analyses and collaborative actions carried out to assess and optimize the impact of a cobotic solution on end-users. Even though Human Factors in SHAREWORK are transversal and integrated to the technical modules, this part of the project has its own agenda and methodology. The present document is complemented by the deliverable D1.8 “Formal operating rules in use cases”, which identifies in each of the use-case, the key characteristics likely to foster innovation integration.
In the first part of this report, we review the literature in the cognitive science of robotics, and introduce an original set of methods, that we called “Grounding methodology”, designed to optimize trust during human robot interaction and collaboration (HRC) and facilitate acceptance and safety. This methodology is based on recent advances in the social and cognitive sciences (cognitive neuroscience, social psychology and cultural anthropology) suggesting that the establishment of common ground (i.e., mutual knowledge) is key to the development of trustful exchange and relationship. We first review the literature on trust, HRC modelling and measurement, HR symbiosis, and function allocation in the context of HRC, and then propose a set of metrics relevant for SHAREWORK.
In the second part, we explain how we applied the Grounding methodology to the SHAREWORK use-cases. Specifically, we examine the tasks performed by the end-users in each scenario, from both the 1st and 3rd person perspective, taking into account the social, industrial and managerial ecosystem. As the organizations’ cultures differ greatly between one another (see deliverable D1.8 for the details), we report how concrete recommendations can derive from this analysis.
In the third and final part, we turn to the co-conception of the technical modules, which will ultimately constitute the SHAREWORK cobotic solution. Specifically, we report the theoretical and practical work that has been conducted in collaboration with the leaders of the modules
concerned with user experience under dynamic task planning (CNR), safety (IWU), and communication interface (LMS). We then anticipate the second wave of data-collection and analysis that will be carried out in the second phase of the Human Factors work package. We conclude with a discussion concerning the Key Performance Indicators in SHAREWORK (trust, cognitive load, and situational awareness), and propose a set of instruments for their monitoring through both objective (sensors) and subjective (surveys) means. Keywords: acceptance, human-robot collaboration, trust, mutual knowledge, common ground, task planning, communication, safety.