Aug 2026· International Conference on Biomedical Robotics and Biomechatronics· pp. 1230-1236· 0 citations· 60 references
Abstract
While collaborative robots (cobots) are designed to augment industrial workflows, their integration is often hindered by not accounting for the individual personality traits that influence human-to-human collaboration. Although personality is a primary driver of trust and coordination, it remains underexplored in multi-agent settings in which a robot serves as an agent moderating human-to-human collaboration. To investigate this, we designed an augmented reality (AR) interface to facilitate human-to-human collaboration moderated by a cobot. Using a gamified pick-and-place task, we examined how personality influences workers' behavior and conflict resolution in a shared workspace. Results from a study with 16 participants, split into 8 pairs of workers, indicate that extraversion/introversion, in particular, was associated with differences in interaction strategies and perceptions of workload. Our findings suggest that future AR-enabled multiagent workflows should consider personality variability to better support collaborative settings.
Introduction This article reports an empirical study on Human–Robot Collaboration (HRC) under Dual-Task Interference (DTI). To the best of our knowledge, prior research has not investigated the intersection of Dual-Task Interference (DTI) and Human–Robot Collaboration (HRC) in industrial contexts. This study represents...
Someshwar Roy, Igal Peretz, Lior Sayfeld et al.· Frontiers in Neurorobotics· 0 citations
Personality plays a central role in human-robot interaction, shaping how people engage with social robots. Yet most existing systems treat personality as fixed or reduce it to binary categories, limiting adaptation across diverse users. Moreover, adaptation is often implemented at the level of isolated components, rath...
Antonio Andriella, Giuseppina Russo, Silvia Rossi· IEEE Robotics and Automation...· 0 citations
It is argued that prompt design should be treated as a socio-technical problem rather than a minor implementation detail, requiring explicit capability boundaries, transparent behavioural assumptions, and context-sensitive safeguards to support reliable and interpretable HRI.
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Personalized autonomous packing requires robots to account for resident preferences that cannot be inferred from scene geometry alone. Expert teleoperators can interpret these preferences and translate them into feasible robot actions, but continuous expert involvement limits scalable deployment. In this paper, we inve...
Robot assistance is particularly crucial in unfamiliar tasks, where users must understand task requirements while coordinating with the robot. Previous research offers mixed evidence on the role of robot proxemics in user engagement: some studies suggest closer proximity enhances interaction, while others report it can...
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