Tangibot: A tangible-mediated robot to support cognitive games for ageing people—A usability study

Garcia-Sanjuan, Fernando; Jaén, Javier; Nacher, Vicente

doi:10.1016/j.pmcj.2016.08.007

Cited by 25 publications

(31 citation statements)

References 30 publications

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“…This category, with 21 articles, is the second most sizable category in this review. Robots represent the technology used most heavily for MCI treatment, with 13 out of 21 articles (Tapus et al, 2009; Chan and Nejat, 2010; Wu et al, 2011, 2013, 2016; Tiberio et al, 2012; Granata et al, 2013; Yamaguchi et al, 2014; Kintsakis et al, 2015; Demetriadis et al, 2016; Reppou et al, 2016; Garcia-Sanjuan et al, 2017; Korchut et al, 2017). On the other hand, papers that consider personal devices and smart environment-based treatment make up 8 out 21: (Zaccarelli et al, 2013; Zuchella et al, 2014; Muscio et al, 2015; Segkouli et al, 2015; Fiorini et al, 2017; Kyriazakos et al, 2017; Manera et al, 2017; Maselli et al, 2017).…”

Section: Application 2: Treatmentmentioning

confidence: 99%

“…In the second example, instead, each participant was involved in the therapeutic use of the robot. Particularly, each participant was asked to perform three different tasks using a tangible-mediated robot: control the orientation of the robot, move the Tangibot from one location to another, and perform a combination of the first two (Garcia-Sanjuan et al, 2017). Contrary to the use of therapeutic robots, the use of a tangible robotic interface is recommended more for people with no or mild cognitive impairments.…”

Section: Application 2: Treatmentmentioning

confidence: 99%

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Novel Technological Solutions for Assessment, Treatment, and Assistance in Mild Cognitive Impairment

Mancioppi

Fiorini

Sportiello

et al. 2019

Front. Neuroinform.

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Alzheimer's disease, and dementia, represent a common cause of disability and one of the most relevant challenges in the health world. In addition, these conditions do not have, at moment, a pharmacological treatment that can stop the pathological progress. Mild cognitive impairment (MCI), defined as the borderline between normal aging and early dementia, represents a meaningful field of study because, in the transition to dementia, clinicians have defined a useful therapeutic window. Additionally, due to the lack of effective pharmacological interventions, recent years have seen an increase in research into new technological solutions to assess, stimulate, and assist patients afflicted with Alzheimer's disease. This review aims to outline the use of information and communication technologies in the field studying MCI. Particularly, the goal is to depict the framework and describe the most worthwhile research efforts, in order to display the current technologies available, describe the research objectives, and delineate prospective future researches. Regarding data sources, the research was conducted within three databases, PubMed Central, Web of Science, and Scopus, between January 2009 and December 2017. A total of 646 articles were found in the initial search. Accurate definition of the exclusion criteria and selection strategy allowed identification of the most relevant papers to use for the study. Finally, 56 papers were fully evaluated and included in this review. Three major clinical application areas have been portrayed, namely “Cognitive Assessment,” “Treatment,” and “Assistance.” These have been combined with three main technological solutions, specifically “Sensors,” “Personal Devices,” and “Robots.” Furthermore, the study of the publications time series illustrates a steadily increasing trend, characterized by the enrollment of small groups of subjects, and particularly oriented to the subjects assistance using robots companion. In conclusion, despite the new technological solutions for people with MCI have received much interest, particularly regarding robots for assistance, nowadays it still owns vast room for improvement.

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Section: Application 2: Treatmentmentioning

confidence: 99%

Section: Application 2: Treatmentmentioning

confidence: 99%

Novel Technological Solutions for Assessment, Treatment, and Assistance in Mild Cognitive Impairment

Mancioppi

Fiorini

Sportiello

et al. 2019

Front. Neuroinform.

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“…In the present motor training approach, by using tangible robots both as game agents and objects to be moved, we aimed to provide an intuitive easy-touse and easy-to-set-up system for motor training. Recent studies showed that utilizing tangible objects that the elderly are familiar with and providing a tangible interface with simplified elements may facilitate learning of using these technologies among elderly (Apted et al, 2006;Hung et al, 2016;Garcia-Sanjuan et al, 2017;Wang et al, 2017;Guneysu Ozgur et al, 2018). Furthermore, making the learning of using these devices easier might be crucial, since the lack of familiarity and the steep learning curve of using training devices may reduce the training efficiency among elderly users (Aarhus et al, 2011;Gerling et al, 2011;Guneysu Ozgur et al, 2018).…”

Section: Introductionmentioning

confidence: 99%

“…Furthermore, making the learning of using these devices easier might be crucial, since the lack of familiarity and the steep learning curve of using training devices may reduce the training efficiency among elderly users (Aarhus et al, 2011;Gerling et al, 2011;Guneysu Ozgur et al, 2018). Direct contact via touch interfaces is proposed to provide lower cognitive loads and a more suitable and intuitive alternative, especially for aging users (Garcia-Sanjuan et al, 2017;Guneysu Ozgur et al, 2018).…”

Section: Introductionmentioning

confidence: 99%

Gamified Motor Training With Tangible Robots in Older Adults: A Feasibility Study and Comparison With the Young

Özgür

Wessel

Olsen

et al. 2020

Front. Aging Neurosci.

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Background: An increasing lifespan and the resulting change in our expectations of later life stages are dependent on a good health state. This emphasizes the importance of the development of strategies to further strengthen healthy aging. One important aspect of good health in later life stages is sustained skilled motor function.Objective: Here, we tested the effectiveness of robotic upper limb motor training in a game-like scenario assessing game-based learning and its transfer potential.Methods: Thirty-six healthy participants (n = 18 elderly participants, n = 18 young controls) trained with a Pacman-like game using a hand-held Cellulo robot on 2 consecutive days. The game-related movements were conducted on a printed map displaying a maze and targets that had to be collected. Gradually, the task difficulty was adjusted between games by modifying or adding different game elements (e.g., speed and number of chasing ghosts, additional rules, and haptic feedback). Transfer was assessed by scoring simple robot manipulation on two different trajectories.Results: Elderly participants were able to improve their game performance over time [t (874) = 2.97, p < 0.01]. The applied game elements had similar effects on both age groups. Importantly, the game-based learning was transferable to simple robot manipulation that resembles activities of daily life. Only minor age-related differences were present (smaller overall learning gain and different effects of the wall-crash penalty rule in the elderly group). Conclusions:Gamified motor training with the Cellulo system has the potential to translate into an efficient and relatively low-cost robotic motor training tool for promoting upper limb function to promote healthy aging.

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“…Wang et al proposed a tangible gaming board with 64 RGB LED rotary encoders and initial results showed the acceptance of the system by stroke survivors [57]. Direct contact via touch interfaces is proposed to provide lower cognitive loads and a more suitable and intuitive alternative, especially for aging users [20].…”

Section: Introductionmentioning

confidence: 99%

Iterative Design of an Upper Limb Rehabilitation Game with Tangible Robots

Özgür

Wessel

Johal

et al. 2018

Proceedings of the 2018 ACM/IEEE International Conference on Human-Robot Interaction

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Rehabilitation aims to ameliorate deficits in motor control via intensive practice with the affected limb. Current strategies, such as one-on-one therapy done in rehabilitation centers, have limitations such as treatment frequency and intensity, cost and requirement of mobility. Thus, a promising strategy is home-based therapy that includes task specific exercises. However, traditional rehabilitation tasks may frustrate the patient due to their repetitive nature and may result in lack of motivation and poor rehabilitation. In this article, we propose the design and verification of an effective upper extremity rehabilitation game with a tangible robotic platform named Cellulo as a novel solution to these issues. We first describe the process of determining the design rationales to tune speed, accuracy and challenge. Then we detail our iterative participatory design process and test sessions conducted with the help of stroke, brachial plexus and cerebral palsy patients (18 in total) and 7 therapists in 4 different therapy centers. We present the initial quantitative results, which support several aspects of our design rationales and conclude with our future study plans.

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Tangibot: A tangible-mediated robot to support cognitive games for ageing people—A usability study

Cited by 25 publications

References 30 publications

Novel Technological Solutions for Assessment, Treatment, and Assistance in Mild Cognitive Impairment

Novel Technological Solutions for Assessment, Treatment, and Assistance in Mild Cognitive Impairment

Gamified Motor Training With Tangible Robots in Older Adults: A Feasibility Study and Comparison With the Young

Iterative Design of an Upper Limb Rehabilitation Game with Tangible Robots

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