Human-Robot Interaction

Bartneck, Christoph; Belpaeme, Tony; Eyssel, Friederike Anne; Kanda, Takayuki; Keijsers, Merel; Šabanović, Selma

doi:10.1017/9781108676649

Cited by 143 publications

(89 citation statements)

References 231 publications

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“…Furthermore, a relatively often discussed issue initially during the development process of ANEMONE was the nature and rigor of UX evaluation methods. We have experienced that UX evaluation as such is sometimes considered less scientific and less rigorous than psychological experiments that currently seem to be the most frequently used method to evaluate how humans interact with robots within the HRI field [ 7 , 8 , 68 ]. We emphasize that this way of arguing is like comparing apples and oranges, because their aims and purposes differ significantly.…”

Section: Discussionmentioning

confidence: 99%

“…This means that these more complex interplays between robots and their intended users have to be carefully considered when designing and developing robots in order for them to provide the added value to intended human users, depending on the situation, task at hand, and the context of use [ 6 ]. The challenge of understanding and designing a natural, fluent, and trustworthy interaction between human(s) and robot(s) is the key factor of interest in the field of human-robot interaction (HRI) [ 6 , 7 , 8 , 9 , 10 ]. More specifically, Dautenhahn [ 10 ] characterizes HRI as follows:…”

Section: Introductionmentioning

confidence: 99%

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The ANEMONE: Theoretical Foundations for UX Evaluation of Action and Intention Recognition in Human-Robot Interaction

Lindblom¹,

Alenljung²

2020

Sensors

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The coexistence of robots and humans in shared physical and social spaces is expected to increase. A key enabler of high-quality interaction is a mutual understanding of each other’s actions and intentions. In this paper, we motivate and present a systematic user experience (UX) evaluation framework of action and intention recognition between humans and robots from a UX perspective, because there is an identified lack of this kind of evaluation methodology. The evaluation framework is packaged into a methodological approach called ANEMONE (action and intention recognition in human robot interaction). ANEMONE has its foundation in cultural-historical activity theory (AT) as the theoretical lens, the seven stages of action model, and user experience (UX) evaluation methodology, which together are useful in motivating and framing the work presented in this paper. The proposed methodological approach of ANEMONE provides guidance on how to measure, assess, and evaluate the mutual recognition of actions and intentions between humans and robots for investigators of UX evaluation. The paper ends with a discussion, addresses future work, and some concluding remarks.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

The ANEMONE: Theoretical Foundations for UX Evaluation of Action and Intention Recognition in Human-Robot Interaction

Lindblom¹,

Alenljung²

2020

Sensors

View full text Add to dashboard Cite

show abstract

“…We use the term adaption to refer to the coordination of behaviors that are non-random and patterned in timing and form (Bernieri and Rosenthal, 1991 ) using a communicative lens (Burgoon et al, 1995 ). Although interpersonal adaption is often studied in face-to-face (Burgoon et al, 1995 ) and computer-mediated encounters (Dunbar et al, 2014 ), there is a growing body of scholarship that urges social scientists to further engage with HRI (Van Erp and Toet, 2013 ; Bartneck et al, 2020a ). Given that all interpersonal interactions have a degree of coordination (Gatewood and Rosenwein, 1981 ; Bernieri and Rosenthal, 1991 ; Chartrand and Bargh, 1999 ), it is essential to construct a framework to better explain why, how, and to what effect interacting with emerging technologies have for humans.…”

Section: Interpersonal Adaption Theory Frameworkmentioning

confidence: 99%

“…An example provided by Cappella ( 1991 ) is the tempo of the conversation—often measured by the rate of speech and the quickness of response. Bartneck et al ( 2020a ) argue contingency anthropomorphization of social robots can help users feel like the machine is partaking in appropriate regulation. For example, if the robot detects motion, “it should briefly look toward the origin of the movement” (p. 54).…”

Section: Processesmentioning

confidence: 99%

Who's Leading This Dance?: Theorizing Automatic and Strategic Synchrony in Human-Exoskeleton Interactions

2021

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Wearable robots are an emerging form of technology that allow organizations to combine the strength, precision, and performance of machines with the flexibility, intelligence, and problem-solving abilities of human wearers. Active exoskeletons are a type of wearable robot that gives wearers the ability to effortlessly lift up to 200 lbs., as well as perform other types of physically demanding tasks that would be too strenuous for most humans. Synchronization between exoskeleton suits and wearers is one of the most challenging requirements to operate these technologies effectively. In this conceptual paper, we extend interpersonal adaption theory (IAT) to the exoskeleton context and explicate (a) the antecedents that are most likely to shape synchrony in human-exoskeleton interactions, (b) automatic and strategic synchrony as adaptive behaviors in human-exoskeleton interactions, and (c) outcome variables that are especially important in these processes. Lastly, we offer a discussion of key methodological challenges for measuring synchrony in human-exoskeleton interactions and offer a future research agenda for this important area.

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“…Therefore, there is still a lack of consensus on how the interactions should be addressed and which robot morphology might be most effective. Consequently, several design techniques have started to be explored, where participatory design (PD) ensures the acceptability and functionality of the robot [21]. Besides, PD methods have been adopted to develop interventions for populations with special needs.…”

Section: Introductionmentioning

confidence: 99%

An Open-Source Social Robot Based on Compliant Soft Robotics for Therapy with Children with ASD

et al. 2020

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Therapy with robotic tools is a promising way to help improve verbal and nonverbal communication in children. The robotic tools are able to increase aspects such as eye contact and the ability to follow instructions and to empathize with others. This work presents the design methodology, development, and experimental validation of a novel social robot based on CompliAnt SofT Robotics called the CASTOR robot, which intends to be used as an open-source platform for the long-term therapy of children with autism spectrum disorder (CwASD). CASTOR integrates the concepts of soft actuators and compliant mechanisms to create a replicable robotic platform aimed at real therapy scenarios involving physical interaction between the children and the robot. The validation shows promising results in terms of robustness and the safety of the user and robot. Likewise, mechanical tests assess the robot’s response to blocking conditions for two critical modules (i.e., neck and arm) in interaction scenarios. Future works should focus on the validation of the robot’s effectiveness in the therapy of CwASD.

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Human-Robot Interaction

Cited by 143 publications

References 231 publications

The ANEMONE: Theoretical Foundations for UX Evaluation of Action and Intention Recognition in Human-Robot Interaction

The ANEMONE: Theoretical Foundations for UX Evaluation of Action and Intention Recognition in Human-Robot Interaction

Who's Leading This Dance?: Theorizing Automatic and Strategic Synchrony in Human-Exoskeleton Interactions

An Open-Source Social Robot Based on Compliant Soft Robotics for Therapy with Children with ASD

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