Context-Awareness in Human-Robot Interaction: Approaches and Challenges

Pauline Chevalier; Bob Rinse Schadenberg; Amir Aly; Angelo Cangelosi; Adriana Tapus

doi:10.1109/HRI53351.2022.9889584

Context-Awareness in Human-Robot Interaction: Approaches and Challenges

Pauline Chevalier, Bob Rinse Schadenberg, Amir Aly, Angelo Cangelosi, Adriana Tapus

Human Media Interaction

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

Abstract

To be seamlessly integrated in human-centered environments, robots are expected to have intelligent social capabilities on top of their physical abilities. To this end, research in artifi-cial intelligence and human-robot interaction face two major challenges. Firstly, robots need to cope with uncertainty during interaction, especially when dealing with factors that are not fully observable and hard to infer (latent variables) such as the states representing the dynamic environment and human behavior (e.g., intents, goals, preferences). Secondly, robots need to communicate their behaviors to agents (humans and other robots in the environment) in a clear and understandable manner. Therefore, robots need to be context-aware: being able to perceive and understand their surroundings, and adapt their functionalities accordingly.

Original language	English
Title of host publication	HRI '22 Proceedings of the 2022 ACM/IEEE International Conference on Human-Robot Interaction
Subtitle of host publication	17th ACM/IEEE International Conference on Human-Robot Interaction – (HRI’22)
Publisher	IEEE
Pages	1241-1243
Number of pages	3
ISBN (Electronic)	978-1-5386-8554-9
DOIs	https://doi.org/10.1109/HRI53351.2022.9889584
Publication status	Published - 29 Sept 2022
Event	17th ACM/IEEE International Conference on Human-Robot Interaction, HRI 2022 - Online Event, Sapporo, Japan Duration: 7 Mar 2022 → 11 Mar 2022 Conference number: 17 https://humanrobotinteraction.org/2022/

Conference

Conference	17th ACM/IEEE International Conference on Human-Robot Interaction, HRI 2022
Abbreviated title	HRI 2022
Country/Territory	Japan
City	Sapporo
Period	7/03/22 → 11/03/22
Internet address	https://humanrobotinteraction.org/2022/

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10.1109/HRI53351.2022.9889584

Cite this

Chevalier, P., Schadenberg, B. R., Aly, A., Cangelosi, A., & Tapus, A. (2022). Context-Awareness in Human-Robot Interaction: Approaches and Challenges. In HRI '22 Proceedings of the 2022 ACM/IEEE International Conference on Human-Robot Interaction: 17th ACM/IEEE International Conference on Human-Robot Interaction – (HRI’22) (pp. 1241-1243). IEEE. https://doi.org/10.1109/HRI53351.2022.9889584

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title = "Context-Awareness in Human-Robot Interaction: Approaches and Challenges",

abstract = "To be seamlessly integrated in human-centered environments, robots are expected to have intelligent social capabilities on top of their physical abilities. To this end, research in artifi-cial intelligence and human-robot interaction face two major challenges. Firstly, robots need to cope with uncertainty during interaction, especially when dealing with factors that are not fully observable and hard to infer (latent variables) such as the states representing the dynamic environment and human behavior (e.g., intents, goals, preferences). Secondly, robots need to communicate their behaviors to agents (humans and other robots in the environment) in a clear and understandable manner. Therefore, robots need to be context-aware: being able to perceive and understand their surroundings, and adapt their functionalities accordingly.",

author = "Pauline Chevalier and Schadenberg, {Bob Rinse} and Amir Aly and Angelo Cangelosi and Adriana Tapus",

year = "2022",

month = sep,

day = "29",

doi = "10.1109/HRI53351.2022.9889584",

language = "English",

pages = "1241--1243",

booktitle = "HRI '22 Proceedings of the 2022 ACM/IEEE International Conference on Human-Robot Interaction",

publisher = "IEEE",

address = "United States",

note = "17th ACM/IEEE International Conference on Human-Robot Interaction, HRI 2022, HRI 2022 ; Conference date: 07-03-2022 Through 11-03-2022",

url = "https://humanrobotinteraction.org/2022/",

}

Chevalier, P, Schadenberg, BR, Aly, A, Cangelosi, A & Tapus, A 2022, Context-Awareness in Human-Robot Interaction: Approaches and Challenges. in HRI '22 Proceedings of the 2022 ACM/IEEE International Conference on Human-Robot Interaction: 17th ACM/IEEE International Conference on Human-Robot Interaction – (HRI’22). IEEE, pp. 1241-1243, 17th ACM/IEEE International Conference on Human-Robot Interaction, HRI 2022, Sapporo, Japan, 7/03/22. https://doi.org/10.1109/HRI53351.2022.9889584

Context-Awareness in Human-Robot Interaction: Approaches and Challenges. / Chevalier, Pauline; Schadenberg, Bob Rinse; Aly, Amir et al.
HRI '22 Proceedings of the 2022 ACM/IEEE International Conference on Human-Robot Interaction: 17th ACM/IEEE International Conference on Human-Robot Interaction – (HRI’22). IEEE, 2022. p. 1241-1243.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

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T1 - Context-Awareness in Human-Robot Interaction

T2 - 17th ACM/IEEE International Conference on Human-Robot Interaction, HRI 2022

AU - Chevalier, Pauline

AU - Schadenberg, Bob Rinse

AU - Aly, Amir

AU - Cangelosi, Angelo

AU - Tapus, Adriana

N1 - Conference code: 17

PY - 2022/9/29

Y1 - 2022/9/29

N2 - To be seamlessly integrated in human-centered environments, robots are expected to have intelligent social capabilities on top of their physical abilities. To this end, research in artifi-cial intelligence and human-robot interaction face two major challenges. Firstly, robots need to cope with uncertainty during interaction, especially when dealing with factors that are not fully observable and hard to infer (latent variables) such as the states representing the dynamic environment and human behavior (e.g., intents, goals, preferences). Secondly, robots need to communicate their behaviors to agents (humans and other robots in the environment) in a clear and understandable manner. Therefore, robots need to be context-aware: being able to perceive and understand their surroundings, and adapt their functionalities accordingly.

AB - To be seamlessly integrated in human-centered environments, robots are expected to have intelligent social capabilities on top of their physical abilities. To this end, research in artifi-cial intelligence and human-robot interaction face two major challenges. Firstly, robots need to cope with uncertainty during interaction, especially when dealing with factors that are not fully observable and hard to infer (latent variables) such as the states representing the dynamic environment and human behavior (e.g., intents, goals, preferences). Secondly, robots need to communicate their behaviors to agents (humans and other robots in the environment) in a clear and understandable manner. Therefore, robots need to be context-aware: being able to perceive and understand their surroundings, and adapt their functionalities accordingly.

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DO - 10.1109/HRI53351.2022.9889584

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PB - IEEE

Y2 - 7 March 2022 through 11 March 2022

ER -

Context-Awareness in Human-Robot Interaction: Approaches and Challenges

Abstract

Conference

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