467 research outputs found

    Machine Body Language: Expressing a Smart Speaker’s Activity with Intelligible Physical Motion

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    People’s physical movement and body language implicitly convey what they think and feel, are doing or are about to do. In contrast, current smart speakers miss out on this richness of body language, primarily relying on voice commands only. We present QUBI, a dynamic smart speaker that leverages expressive physical motion – stretching, nodding, turning, shrugging, wiggling, pointing and leaning forwards/backwards – to convey cues about its underlying behaviour and activities. We conducted a qualitative Wizard of Oz lab study, in which 12 participants interacted with QUBI in four scripted scenarios. From our study, we distilled six themes: (1) mirroring and mimicking motions; (2) body language to supplement voice instructions; (3) anthropomorphism and personality; (4) audio can trump motion; (5) reaffirming uncertain interpretations to support mutual understanding; and (6) emotional reactions to QUBI’s behaviour. From this, we discuss design implications for future smart speakers

    Tangible Interaction with In-Car Smart Intelligence

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    Interacting with a car was once a tactile experience, which is on the decline with the rise of car assistants, where the dominant form of interaction is through screen displays and voice recognition. These interaction modalities within a car are not the only options available. In this paper, we discuss reintroducing tactility into the automotive experience. This work presents a tactile embodiment of an intelligent car system, different from previous studies, to improve engagement and emotional connection between users and future intelligent cars. A prototype tool was designed to embody an intelligent car system. It was used to investigate how to interact with and control a smart-comfort system to improve user comfort. The tool invited users to interact through touch. Users could use their hands to physically agree or disagree with changes made by the system with the system moving in response, creating a bi-directional interaction symbiosis that re-prioritises tactility

    Interactive spaces for children: gesture elicitation for controlling ground mini-robots

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    [EN] Interactive spaces for education are emerging as a mechanism for fostering children's natural ways of learning by means of play and exploration in physical spaces. The advanced interactive modalities and devices for such environments need to be both motivating and intuitive for children. Among the wide variety of interactive mechanisms, robots have been a popular research topic in the context of educational tools due to their attractiveness for children. However, few studies have focused on how children would naturally interact and explore interactive environments with robots. While there is abundant research on full-body interaction and intuitive manipulation of robots by adults, no similar research has been done with children. This paper therefore describes a gesture elicitation study that identified the preferred gestures and body language communication used by children to control ground robots. The results of the elicitation study were used to define a gestural language that covers the different preferences of the gestures by age group and gender, with a good acceptance rate in the 6-12 age range. The study also revealed interactive spaces with robots using body gestures as motivating and promising scenarios for collaborative or remote learning activities.This work is funded by the European Development Regional Fund (EDRF-FEDER) and supported by the Spanish MINECO (TIN2014-60077-R). The work of Patricia Pons is supported by a national grant from the Spanish MECD (FPU13/03831). Special thanks are due to the children and teachers of the Col-legi Public Vicente Gaos for their valuable collaboration and dedication.Pons TomĂĄs, P.; JaĂ©n MartĂ­nez, FJ. (2020). Interactive spaces for children: gesture elicitation for controlling ground mini-robots. 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    An emotion and memory model for social robots : a long-term interaction

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    In this thesis, we investigate the role of emotions and memory in social robotic companions. In particular, our aim is to study the effect of an emotion and memory model towards sustaining engagement and promoting learning in a long-term interaction. Our Emotion and Memory model was based on how humans create memory under various emotional events/states. The model enabled the robot to create a memory account of user's emotional events during a long-term child-robot interaction. The robot later adapted its behaviour through employing the developed memory in the following interactions with the users. The model also had an autonomous decision-making mechanism based on reinforcement learning to select behaviour according to the user preference measured through user's engagement and learning during the task. The model was implemented on the NAO robot in two different educational setups. Firstly, to promote user's vocabulary learning and secondly, to inform how to calculate area and perimeter of regular and irregular shapes. We also conducted multiple long-term evaluations of our model with children at the primary schools to verify its impact on their social engagement and learning. Our results showed that the behaviour generated based on our model was able to sustain social engagement. Additionally, it also helped children to improve their learning. Overall, the results highlighted the benefits of incorporating memory during child-Robot Interaction for extended periods of time. It promoted personalisation and reflected towards creating a child-robot social relationship in a long-term interaction

    How to Include Humanoid Robots into Experimental Research: A Multi-Step Approach

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    Robots have penetrated many areas of daily life, including increased uses of humanoid robots in personal and organizational settings such as health care, eldercare, and service encounters with customers. Little research examines humanoid robots in these professional settings, even though the human-robot interaction (HRI) is particularly critical in such contexts. On the basis of a literature review and experience from several experimental studies, this article offers some guidance for designing HRI experiments with humanoid robots. In addition to detailing major challenges associated with designing HRI studies, this article suggests important next steps for experimental research with humanoid robots, as well as implications for further study

    Pulling Back the Curtain on the Wizards of Oz

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    The Wizard of Oz method is an increasingly common practice in HCI and CSCW studies as part of iterative design processes for interactive systems. Instead of designing a fully-fledged system, the ‘technical work’ of key system components is completed by human operators yet presented to study participants as if computed by a machine. However, little is known about how Wizard of Oz studies are interactionally and collaboratively achieved in situ by researchers and participants. By adopting an ethnomethodological perspective, we analyse our use of the method in studies with a voice-controlled vacuum robot and two researchers present. We present data that reveals how such studies are organised and presented to participants and unpack the coordinated orchestration work that unfolds ‘behind the scenes’ to complete the study. We examine how the researchers attend to participant requests and technical breakdowns, and discuss the performative, collaborative, and methodological nature of their work. We conclude by offering insights from our application of the approach to others in the HCI and CSCW communities for using the method

    Social Robots as Language Tutors:Challenges and Opportunities

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    In this paper we highlight several challenges we encountered while developing an Intelligent Tutoring System. Most importantly, technical limitations are currently standing in the way of the robot's ability to behave fully autonomously, and there is a need for methods and best practices from the field of human-computer interaction to ensure that user experience goals related to the quality of the holistic experience of interacting with a robot are set, and subsequently met. We also identify opportunities in the form of a modular (technical) architecture, and the implementation of a human-centered design process by including this discipline as one of the core components when setting up a project in the field of human-robot interaction

    Impact of Head Motion on the Assistive Robot Expressiveness - Evaluation with Elderly Persons

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    International audienceIn the near future, robots will support human to perform tasks in many domains (industrial, domestic, educational and health tasks).Such robot behaviors need to take into account the social interaction between robot and human.In this context, we focus on the expressiveness of a moving head for an assistive robot for the elderly.We designed a new moving head for the KompaĂŻ companion robot.On one hand, this new head improves its perception capabilities.On the other hand, we expect to jointly increase its social skills and thus its acceptability.This new head is composed of a tablet to animate a virtual face according to 4 facial expressions and a mechanical neck with 4 degrees of freedom to enhance the robot's expression.Before improving face expressions and adding more complex head movements, it is essential to evaluate the combination of simple head movements with virtual face expressions. A study was held jointly with physicians (psychologists, ergonomists) at the Broca Hospital in Paris to assess the impact to combine head movements with virtual face expressions, and the global acceptability of the KompaĂŻ head by the elderly
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