Non-dyadic collaboration in human-robot interaction
Non-dyadic collaboration in human-robot interaction
With the ever-increasing number of domains in which we encounter robots - be it in industry, airports, or the home - the opportunity to interact and collaborate with these grows. And while an abundance of Human-Robot Interaction (HRI) literature has investigated dyadic interaction, non-dyadic HRI research, i.e., more than one human and one robot, has just recently begun to receive increasing attention. In this dissertation, I investigate characteristics of non-dyadic Human-Robot Interaction and collaboration. Specifically, I investigate two research questions focusing on i) the identification of existing characteristics of non-dyadic Human-Robot Interaction research and ii) the influence robots have on non-dyadic collaborative efforts.
This dissertation's contribution is based on five research papers. Paper I presents an empirical investigation of existing research on non-dyadic HRI over the last 15 years. Paper II to IV present qualitative field studies in the domestic and industrial contexts. Lastly, Paper V presents a mixed-methods lab-based study investigating human group collaboration and identifies design considerations to improve non-dyadic human-robot collaboration. Based on these five papers, this dissertation presents two primary contributions.
Firstly, I identify characteristics of non-dyadic HRI through an investigation of 164 research papers. These characteristics include the ongoing paradigm shift from a dyadic focus towards a non-dyadic focus, three non-dyadic configurations within HRI (one-to-many, many-to-one, and many-to-many) and an imbalance emphasising research involving one human interacting with multiple digital artefacts (one-to-many), a classification framework for non-dyadic Human-Robot Interaction, as well as empirical evidence showing the focus of non-dyadic HRI research on simultaneous over sequential interaction.
Secondly, I present several ways in which robots influence collaboration during non-dyadic Human-Robot Interaction. I highlight how introducing robots in both the domestic and industrial contexts into non-dyadic settings can lead to a fragmentation of previously coherent tasks while only some of the sub-tasks are automated. Furthermore, I show how the robot's presence, as previously hypothesised---can lead to a spatial restructuring resulting in a positive change in interpersonal relationships amongst collaborators. Lastly, I argue for the robot's capacity to alter, remove, and create roles and responsibilities within the non-dyadic collaborative Human-Robot Interaction.
Future work includes the investigation of i) robots as pro-active collaborators, ii) increase of transparency during robot introduction to counter unintended negative side-effects, and iii) a reconsideration of what a collaborative robot and collaboration with robots means.
Schneiders, Eike
9da80af0-1e27-4454-90e2-eb1abf7108bd
2022
Schneiders, Eike
9da80af0-1e27-4454-90e2-eb1abf7108bd
Skov, Mikael B.
5d1b7367-01e3-45f7-8b6e-74627ad7aff2
Van Berkel, Niels
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Kjeldskov, Jesper
0e8fd758-6136-4f74-af24-e1aab925aae9
Schneiders, Eike
(2022)
Non-dyadic collaboration in human-robot interaction.
Aalborg University, Doctoral Thesis.
Record type:
Thesis
(Doctoral)
Abstract
With the ever-increasing number of domains in which we encounter robots - be it in industry, airports, or the home - the opportunity to interact and collaborate with these grows. And while an abundance of Human-Robot Interaction (HRI) literature has investigated dyadic interaction, non-dyadic HRI research, i.e., more than one human and one robot, has just recently begun to receive increasing attention. In this dissertation, I investigate characteristics of non-dyadic Human-Robot Interaction and collaboration. Specifically, I investigate two research questions focusing on i) the identification of existing characteristics of non-dyadic Human-Robot Interaction research and ii) the influence robots have on non-dyadic collaborative efforts.
This dissertation's contribution is based on five research papers. Paper I presents an empirical investigation of existing research on non-dyadic HRI over the last 15 years. Paper II to IV present qualitative field studies in the domestic and industrial contexts. Lastly, Paper V presents a mixed-methods lab-based study investigating human group collaboration and identifies design considerations to improve non-dyadic human-robot collaboration. Based on these five papers, this dissertation presents two primary contributions.
Firstly, I identify characteristics of non-dyadic HRI through an investigation of 164 research papers. These characteristics include the ongoing paradigm shift from a dyadic focus towards a non-dyadic focus, three non-dyadic configurations within HRI (one-to-many, many-to-one, and many-to-many) and an imbalance emphasising research involving one human interacting with multiple digital artefacts (one-to-many), a classification framework for non-dyadic Human-Robot Interaction, as well as empirical evidence showing the focus of non-dyadic HRI research on simultaneous over sequential interaction.
Secondly, I present several ways in which robots influence collaboration during non-dyadic Human-Robot Interaction. I highlight how introducing robots in both the domestic and industrial contexts into non-dyadic settings can lead to a fragmentation of previously coherent tasks while only some of the sub-tasks are automated. Furthermore, I show how the robot's presence, as previously hypothesised---can lead to a spatial restructuring resulting in a positive change in interpersonal relationships amongst collaborators. Lastly, I argue for the robot's capacity to alter, remove, and create roles and responsibilities within the non-dyadic collaborative Human-Robot Interaction.
Future work includes the investigation of i) robots as pro-active collaborators, ii) increase of transparency during robot introduction to counter unintended negative side-effects, and iii) a reconsideration of what a collaborative robot and collaboration with robots means.
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Published date: 2022
Identifiers
Local EPrints ID: 494443
URI: http://eprints.soton.ac.uk/id/eprint/494443
PURE UUID: 10c17cf6-b3f3-4ab9-9e19-0185db930275
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Date deposited: 08 Oct 2024 16:43
Last modified: 09 Oct 2024 02:18
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Contributors
Author:
Eike Schneiders
Thesis advisor:
Mikael B. Skov
Thesis advisor:
Niels Van Berkel
Thesis advisor:
Jesper Kjeldskov
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