A Taxonomy in Robot-Assisted Training: Current Trends, Needs and Challenges

Tsiakas, Konstantinos; Kyrarini, Maria; Karkaletsis, Vangelis; Makedon, Fillia; Korn, Oliver

doi:10.3390/technologies6040119

Cited by 17 publications

(9 citation statements)

References 85 publications

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“…Although formal cognitive training is uncommon in the robotics literature (but see Tsiakas et al 72 ), there is broad interest in providing direct IADL assistance, often in the form of reminders to complete daily living tasks. For example, medication reminding systems have been used to address older adults' reported desire to receive robotic assistance with medication management.…”

Section: Car Interventionsmentioning

confidence: 99%

<p>Home-Based Cognitively Assistive Robots: Maximizing Cognitive Functioning and Maintaining Independence in Older Adults Without Dementia</p>

Patten¹,

Keller²,

Maye³

et al. 2020

CIA

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Promoting health and prolonging independence in the home is a priority for older adults, caregivers, clinicians, and society at large. Rapidly developing robotics technology provides a platform for interventions, with the fields of physically and socially assistive robots expanding in recent years. However, less attention has been paid to using robots to enhance the cognitive health of older adults. The goal of this review is to synthesize the current literature on home-based cognitively assistive robots (CAR) in older adults without dementia and to provide suggestions to improve the quality of the scientific evidence in this subfield. First, we set the stage for CAR by: a) introducing the field of robotics to improve health, b) summarizing evidence emphasizing the importance of home-based interventions for older adults, c) reviewing literature on robot acceptability in older adults, d) highlighting important ethical issues in healthcare robotics, and e) reviewing current findings on socially assistive robots, with a focus on translating findings to the CAR context. With this foundation in place, we then review the literature on CAR, identifying gaps and limitations of current evidence, and proposing future directions for research. We conclude that CAR is promising and feasible and that there is a need for more methodologically rigorous evaluations of CAR to promote prolonged home-based independence in older adults.

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Section: Car Interventionsmentioning

confidence: 99%

<p>Home-Based Cognitively Assistive Robots: Maximizing Cognitive Functioning and Maintaining Independence in Older Adults Without Dementia</p>

Patten¹,

Keller²,

Maye³

et al. 2020

CIA

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show abstract

“…In addition, based on this review, we identified HRI elements and game design fundamentals to propose a novel taxonomy that helps to classify and categorize important components used in multiplayer HRI scenarios covering considerations from a robot-oriented perspective (e.g., role, appearance, motor abilities) as well as game design elements (e.g., mechanics, feedback, technology, application field). Other HRI taxonomies have been proposed to (i) better define human-robot interrelations [97], (ii) identify opportunities for robot-assisted training systems [84], (iii) categorize action representations in robotics [99], (iv) promote the inclusion of ethical guidelines in HRI research [75], and (v) improve interface design and user experience in teleoperation applications in games [60]. The new taxonomy proposed in this article unveils not only the fundamental elements to consider when designing games (in particular multiplayer games) in HRI scenarios, but also provides a comprehensive description and illustrative definitions of each category, which contributes to the body of knowledge of the convergence between HRI and game user research.…”

Section: Introductionmentioning

confidence: 99%

Robo Ludens

Muñoz

Dautenhahn

2021

J. Hum.-Robot Interact.

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The use of games as vehicles to study human-robot interaction (HRI) has been established as a suitable solution to create more realistic and naturalistic opportunities to investigate human behavior. In particular, multiplayer games that involve at least two human players and one or more robots have raised the attention of the research community. This article proposes a scoping review to qualitatively examine the literature on the use of multiplayer games in HRI scenarios employing embodied robots aiming to find experimental patterns and common game design elements. We find that researchers have been using multiplayer games in a wide variety of applications in HRI, including training, entertainment and education, allowing robots to take different roles. Moreover, robots have included different capabilities and sensing technologies, and elements such as external screens or motion controllers were used to foster gameplay. Based on our findings, we propose a design taxonomy called Robo Ludens, which identifies HRI elements and game design fundamentals and classifies important components used in multiplayer HRI scenarios. The Robo Ludens taxonomy covers considerations from a robot-oriented perspective as well as game design aspects to provide a comprehensive list of elements that can foster gameplay and bring enjoyable experiences in HRI scenarios.

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“…To identify the categories for data analysis, we integrated and adapted the HRI taxonomies from previous studies (Yanco and Drury, 2004;Bethel and Murphy, 2010;Salter et al, 2010;Tsiakas et al, 2018;Baraka et al, 2020;Onnasch and Roesler, 2020) and annotated the papers by the predefined categories. We describe below the different annotations used.…”

Section: Coding Frameworkmentioning

confidence: 99%

“…Goodrich and Schultz (2007) identified HRI roles, which were adopted by other researchers (Yanco and Drury, 2004;Tsiakas et al, 2018;Onnasch and Roesler, 2020). Based on their classification, 12 distinct participant's roles and eight robot's roles were defined.…”

Section: Participant's and Robot's Rolementioning

confidence: 99%

10 Years of Human-NAO Interaction Research: A Scoping Review

et al. 2021

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The evolving field of human-robot interaction (HRI) necessitates that we better understand how social robots operate and interact with humans. This scoping review provides an overview of about 300 research works focusing on the use of the NAO robot from 2010 to 2020. This study presents one of the most extensive and inclusive pieces of evidence on the deployment of the humanoid NAO robot and its global reach. Unlike most reviews, we provide both qualitative and quantitative results regarding how NAO is being used and what has been achieved so far. We analyzed a wide range of theoretical, empirical, and technical contributions that provide multidimensional insights, such as general trends in terms of application, the robot capabilities, its input and output modalities of communication, and the human-robot interaction experiments that featured NAO (e.g. number and roles of participants, design, and the length of interaction). Lastly, we derive from the review some research gaps in current state-of-the-art and provide suggestions for the design of the next generation of social robots.

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A Taxonomy in Robot-Assisted Training: Current Trends, Needs and Challenges

Cited by 17 publications

References 85 publications

<p>Home-Based Cognitively Assistive Robots: Maximizing Cognitive Functioning and Maintaining Independence in Older Adults Without Dementia</p>

<p>Home-Based Cognitively Assistive Robots: Maximizing Cognitive Functioning and Maintaining Independence in Older Adults Without Dementia</p>

Robo Ludens

10 Years of Human-NAO Interaction Research: A Scoping Review

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