Acceptability of Robot Assistant in Management of Type 1 Diabetes in Children

Al-Taee, Majid A.; Kapoor, Ritika R; Garrett, Christopher J; Choudhary, Pratik

doi:10.1089/dia.2015.0428

Cited by 36 publications

(25 citation statements)

References 2 publications

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“…The developed testbed prototype is still open for further improvements and applications in various fields including self-management of chronic diseases and delivery of healthcare services over a distance using e/m-health platforms (Al-Taee et al, 2015, 2016a, 2016b.…”

Section: Resultsmentioning

confidence: 99%

A testbed for experimental evaluation of efficient multimedia delivery over lossy networks

Al-Taee

Khalifeh

Murshed

2017

IJDSSS

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Abstract:Multimedia transmission over lossy networks has been rapidly increasing, especially with the advent of different high-speed and cost-effective Internet technologies. Despite these technology advances, however, the quality of video streaming over lossy networks is still a major challenge towards obtaining the best quality of service. In this paper, a new experimental testbed that is based on the real-time media flow protocol (RTMFP) is proposed to enable researchers to investigate and optimise the effect of changing multiple key parameters relevant to the video-streaming quality. The impact of these parameters, which include video resolution, frames per second, and compression rate on the video quality are investigated with various settings of network packet loss. The obtained results and relationships between these parameters have led to development of a new algorithm that is capable of changing the parameters under study, in real time, according to the estimated packet loss towards maximum obtainable quality. Design details and experimental setup of the proposed testbed are presented along with key practical considerations and experimental evaluation results.

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Section: Resultsmentioning

confidence: 99%

A testbed for experimental evaluation of efficient multimedia delivery over lossy networks

Al-Taee

Khalifeh

Murshed

2017

IJDSSS

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“…Only one of these studies focused on behavioral acceptance as an outcome variable, whereas the other all focused on intentional acceptance. Important to note here is that of the full sample, only six articles explicitly mentioned the concept "acceptance" (Al-Taee et al, 2016;Kanda et al, 2012;Looije et al, 2017;Sabelli & Kanda, 2016;Saint-Aimé, Grandgeorge et al, 2011;Shiomi et al, 2016), of which only four (partly) operationalized it as either intentional (Kanda et al, 2012;Looije et al, 2017;Saint-Aimé, Grandgeorge et al, 2011) or behavioral acceptance (Shiomi et al, 2016). The other 28 articles used measures that were (partly) similar in their operationalization to intentional or behavioral acceptance, but were not explicitly conceptualized as such.…”

Section: Methodological Characteristicsmentioning

confidence: 99%

“…As for a child's sex, three studies found no effect on intentional acceptance of a social robot (Al-Taee et al, 2016;Gomes, Sardinha, Segura, Cramer, & Paiva, 2014;Leite & Lehman, 2016), whereas one study did find an effect on behavioral acceptance (Simmons & Knight, 2017): Girls showed a higher behavioral acceptance of the robot than did boys. Finally, one study (Kȩdzierski, Muszyński, Zoll, Oleksy, & Frontkiewicz, 2013) found positive correlations between various personality traits (i.e., openness to experience and agreeableness) and intentional acceptance, as well as between general interest in robots and intentional acceptance.…”

Section: The Effect Of User Characteristics On Acceptancementioning

confidence: 99%

Children’s acceptance of social robots

Jong

Peter

Kühne

et al. 2019

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Social robots progressively enter children’s lives, but little is known about children’s acceptance of social robots and its antecedents. To fill this research gap, this narrative review surveyed 34 articles on child-robot interaction published between 2000 and 2017. We focused on robot, user, and interaction characteristics as potential antecedents of children’s intentional and behavioral social robot acceptance. In general, children readily accept robots. However, we found that social, adaptive robot behavior, children’s sex and age, as well as frequency of the interaction seem to affect acceptance. Additionally, we found various theoretical and methodological shortcomings in the field. The review concludes with recommendations and directions for future research on children’s acceptance of social robots.

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“…In the case of children, there are studies of assistant robots for children with diabetes [5,25] which have been used in their private or domestic environment (86.7%). In the work [5] one key result was highlighted: "the development of a fully functional prototype and its end-to-end functionality.…”

Section: Robotic Assistantsmentioning

confidence: 99%

Smart-Home Environment to Support Homework Activities for Children

et al. 2020

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The Central Nervous System of humans continuously evolves when children engage in new activities. These activities are progressing from learning to eat as a baby over playing during childhood up to homework in all its dimensions. These activities, which are meaningful and relevant to everyone, constitute what occupational therapists call "occupations". The successful execution of these occupations makes the development of new roles as well as the construction of a correct state of health possible. Due to these reasons, occupational performance is a fundamental part of development throughout childhood. Homework is complex and extends beyond the school context to the home. For many children, the performance of these homework items is a difficult challenge or even impossible to overcome without the help of an adult. This article presents the design, implementation, and functional validation of an intelligent home environment that uses homework activities as a support tool for children with or without attention disabilities. In this project, the Internet of Things (IoT) paradigm is combined with the development of robotic assistance to implement an intelligent home environment. In this environment, we have included intelligent things (where the usual study chairs and desks become smart objects) that determine in real-time the child's behavior during the development of homework and a robotic assistant which interacts with the children providing the necessary accompaniment (supervision and guidelines) just as a therapist would do. This development has been functionally validated by tests on several school-aged children without pathologies. In a later phase of the study, the proposal will be validated with children with different pathologies with an impact on learning, including Attention Disorder Hyperactivity Disorder (ADHD). The goal is the generation of intelligent places for therapeutic purposes within the home as assistance for children having difficulties to work with their homework assignment due to ADHD.

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Acceptability of Robot Assistant in Management of Type 1 Diabetes in Children

Abstract: Use of robots as a new device to support diabetes self-management in children was well accepted by patients.

Cited by 36 publications

References 2 publications

A testbed for experimental evaluation of efficient multimedia delivery over lossy networks

A testbed for experimental evaluation of efficient multimedia delivery over lossy networks

Children’s acceptance of social robots

Smart-Home Environment to Support Homework Activities for Children

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