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. 2023 Oct 9:10:1233328.
doi: 10.3389/frobt.2023.1233328. eCollection 2023.

Integrating intention-based systems in human-robot interaction: a scoping review of sensors, algorithms, and trust

Yifei Zhang #  1 , Thomas Doyle #  1   2   3
Affiliations

Integrating intention-based systems in human-robot interaction: a scoping review of sensors, algorithms, and trust

Yifei Zhang et al. Front Robot AI. .

Abstract

The increasing adoption of robot systems in industrial settings and teaming with humans have led to a growing interest in human-robot interaction (HRI) research. While many robots use sensors to avoid harming humans, they cannot elaborate on human actions or intentions, making them passive reactors rather than interactive collaborators. Intention-based systems can determine human motives and predict future movements, but their closer interaction with humans raises concerns about trust. This scoping review provides an overview of sensors, algorithms, and examines the trust aspect of intention-based systems in HRI scenarios. We searched MEDLINE, Embase, and IEEE Xplore databases to identify studies related to the forementioned topics of intention-based systems in HRI. Results from each study were summarized and categorized according to different intention types, representing various designs. The literature shows a range of sensors and algorithms used to identify intentions, each with their own advantages and disadvantages in different scenarios. However, trust of intention-based systems is not well studied. Although some research in AI and robotics can be applied to intention-based systems, their unique characteristics warrant further study to maximize collaboration performance. This review highlights the need for more research on the trust aspects of intention-based systems to better understand and optimize their role in human-robot interactions, at the same time establishes a foundation for future research in sensor and algorithm designs for intention-based systems.

Keywords: algorithm; intention (intent); intention-based system; sensor; trust.

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Conflict of interest statement

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Figures

FIGURE 1
FIGURE 1
PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) flowchart.
FIGURE 2
FIGURE 2
Ontology of intention-based system.
FIGURE 3
FIGURE 3
Distribution of studies from 2017 to 2022.
See this image and copyright information in PMC

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