Static and Temporal Differences in Social Signals Between Error-Free and Erroneous Situations in Human-Robot Collaboration

Cahya, Dito Eka; Ramakrishnan, Rahul; Giuliani, Manuel

doi:10.1007/978-3-030-35888-4_18

Cited by 10 publications

(2 citation statements)

References 8 publications

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“…Based on insights from appraisal theory [3,4], social signal processing approaches [2,8], as well as our field observations, we made the assumption that emotion and attention serve as important intermediate features for detecting perceived appropriateness. Based on our previous observations of factors that affect perceived appropriateness, and taking into account realistic robot behavior in a narrow passageway, we chose 8 robot behavior (sudden accelerations and stop, sudden direction changes, block, squeeze, and non-moving) to trigger a rich set of perceived appropriateness of robot social navigation behavior.…”

Section: Data Collection and Analysis: Detecting Perceived Appropriat...mentioning

confidence: 99%

Perceived Appropriateness

Zhou

2023

Companion of the 2023 ACM/IEEE International Conference on Human-Robot Interaction

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Robots navigating in social environments inevitably exhibit behavior perceived as inappropriate by people, which they will repeat unless they are aware of them; hindering their social acceptance. This highlights the importance of robots detecting and adapting to the perceived appropriateness of their behavior, in line with what we found in a systematic literature review. Therefore, we have conducted experiments (both outdoor and indoor) to understand the perceived appropriateness of robot social navigation behavior, based on which we collected a dataset and developed a machine learning model for detecting such perceived appropriateness. To investigate the usefulness of such information and inspire robot adaptive navigation behavior design, we will further conduct a WoZ study to understand how trained human operators adapt robot behavior to people's feedback. In all, this work will enable robots to better remediate their inappropriate behavior, thus improving their social acceptance. CCS CONCEPTS• Human-centered computing → Social navigation; Empirical studies in interaction design; Interaction design process and methods;• Computing methodologies → Cognitive robotics.

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Section: Data Collection and Analysis: Detecting Perceived Appropriat...mentioning

confidence: 99%

Perceived Appropriateness

Zhou

2023

Companion of the 2023 ACM/IEEE International Conference on Human-Robot Interaction

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“…The team of researchers led by Giuliani has shown that participants in human-robot interaction studies show unique patterns of social signals when they experience an erroneous situation with a robot (Mirnig et al, 2015). The team annotated two large video corpora of 201 videos showing 578 erroneous situations and 1,200 videos showing 600 erroneous situations, respectively (Giuliani et al, 2015;Cahya et al, 2019Cahya et al, ). 10.3389/frobt.2023 They found that there are two types of errors that do occur in human-robot interaction.…”

Section: To Err Is Robotmentioning

confidence: 99%

Working with troubles and failures in conversation between humans and robots: workshop report

Förster,

Romeo,

Holthaus

et al. 2023

Front. Robot. AI

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This paper summarizes the structure and findings from the first Workshop on Troubles and Failures in Conversations between Humans and Robots. The workshop was organized to bring together a small, interdisciplinary group of researchers working on miscommunication from two complementary perspectives. One group of technology-oriented researchers was made up of roboticists, Human-Robot Interaction (HRI) researchers and dialogue system experts. The second group involved experts from conversation analysis, cognitive science, and linguistics. Uniting both groups of researchers is the belief that communication failures between humans and machines need to be taken seriously and that a systematic analysis of such failures may open fruitful avenues in research beyond current practices to improve such systems, including both speech-centric and multimodal interfaces. This workshop represents a starting point for this endeavour. The aim of the workshop was threefold: Firstly, to establish an interdisciplinary network of researchers that share a common interest in investigating communicative failures with a particular view towards robotic speech interfaces; secondly, to gain a partial overview of the “failure landscape” as experienced by roboticists and HRI researchers; and thirdly, to determine the potential for creating a robotic benchmark scenario for testing future speech interfaces with respect to the identified failures. The present article summarizes both the “failure landscape” surveyed during the workshop as well as the outcomes of the attempt to define a benchmark scenario.

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Appropriate Robot Reactions to Erroneous Situations in Human-Robot Collaboration

Cahya

Giuliani

2021

Social Robotics

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Static and Temporal Differences in Social Signals Between Error-Free and Erroneous Situations in Human-Robot Collaboration

Cited by 10 publications

References 8 publications

Perceived Appropriateness

Perceived Appropriateness

Working with troubles and failures in conversation between humans and robots: workshop report

Appropriate Robot Reactions to Erroneous Situations in Human-Robot Collaboration

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