Integrating intention-based systems in human-robot interaction: a scoping review of sensors, algorithms, and trust
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...
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2023-10-01
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| Series: | Frontiers in Robotics and AI |
| Subjects: | |
| Online Access: | https://www.frontiersin.org/articles/10.3389/frobt.2023.1233328/full |
| _version_ | 1827796802108129280 |
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| author | Yifei Zhang Thomas Doyle Thomas Doyle Thomas Doyle |
| author_facet | Yifei Zhang Thomas Doyle Thomas Doyle Thomas Doyle |
| author_sort | Yifei Zhang |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-03-11T19:12:12Z |
| format | Article |
| id | doaj.art-7bbddf6da46e4c8d93d32ccd41570dd3 |
| institution | Directory Open Access Journal |
| issn | 2296-9144 |
| language | English |
| last_indexed | 2024-03-11T19:12:12Z |
| publishDate | 2023-10-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Robotics and AI |
| spelling | doaj.art-7bbddf6da46e4c8d93d32ccd41570dd32023-10-09T10:57:39ZengFrontiers Media S.A.Frontiers in Robotics and AI2296-91442023-10-011010.3389/frobt.2023.12333281233328Integrating intention-based systems in human-robot interaction: a scoping review of sensors, algorithms, and trustYifei Zhang0Thomas Doyle1Thomas Doyle2Thomas Doyle3Department of Electrical and Computer Engineering, McMaster University, Hamilton, ON, CanadaDepartment of Electrical and Computer Engineering, McMaster University, Hamilton, ON, CanadaSchool of Biomedical Engineering, McMaster University, Hamilton, ON, CanadaVector Institute for Artificial Intelligence, Toronto, ON, CanadaThe 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.https://www.frontiersin.org/articles/10.3389/frobt.2023.1233328/fullsensoralgorithmintention (intent)trustintention-based system |
| spellingShingle | Yifei Zhang Thomas Doyle Thomas Doyle Thomas Doyle Integrating intention-based systems in human-robot interaction: a scoping review of sensors, algorithms, and trust Frontiers in Robotics and AI sensor algorithm intention (intent) trust intention-based system |
| title | Integrating intention-based systems in human-robot interaction: a scoping review of sensors, algorithms, and trust |
| title_full | Integrating intention-based systems in human-robot interaction: a scoping review of sensors, algorithms, and trust |
| title_fullStr | Integrating intention-based systems in human-robot interaction: a scoping review of sensors, algorithms, and trust |
| title_full_unstemmed | Integrating intention-based systems in human-robot interaction: a scoping review of sensors, algorithms, and trust |
| title_short | Integrating intention-based systems in human-robot interaction: a scoping review of sensors, algorithms, and trust |
| title_sort | integrating intention based systems in human robot interaction a scoping review of sensors algorithms and trust |
| topic | sensor algorithm intention (intent) trust intention-based system |
| url | https://www.frontiersin.org/articles/10.3389/frobt.2023.1233328/full |
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