User Identification for Healthcare Service Robots: Multidisciplinary Design for Implementation of Interactive Services

Kuo, I-Han; Jayawardena, Chandimal; Tiwari, Priyesh; Broadbent, Elizabeth; MacDonald, Bruce A.

doi:10.1007/978-3-642-17248-9_3

Cited by 6 publications

(5 citation statements)

References 8 publications

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“…As a demonstration, the approach was used and applied to improve interaction between the "Cafero" robot (by Yujin Robot Co.) and users. The implementation resulting from the case study enabled the robot to actively prompt and start interaction and its service instead of passively waiting for the user to initialise by pressing a start button on the robot [27]. Compared to the previous work done by the author in [27], this paper gave more focus to translation of HRI design to actual implementation (connection between the first and second part of the design process).…”

Section: Discussionmentioning

confidence: 89%

“…The implementation resulting from the case study enabled the robot to actively prompt and start interaction and its service instead of passively waiting for the user to initialise by pressing a start button on the robot [27]. Compared to the previous work done by the author in [27], this paper gave more focus to translation of HRI design to actual implementation (connection between the first and second part of the design process). It is proposed to design HRI in units of interaction cues and the author argues that this level of abstraction is better than previous approaches [23] because it facilitates mapping to implementation with current software technologies e.g.…”

Section: Discussionmentioning

confidence: 89%

“…As was intended in the design, the HRI system implemented for the case study was used for other health care service applications in the Healthbots project including the medication reminder and management services [22,27]. During application of the design approach in these developments, several limitations were found.…”

Section: Discussionmentioning

confidence: 98%

See 2 more Smart Citations

Multidisciplinary Design Approach for Implementation of Interactive Services

Kuo

Jayawardena

Broadbent

et al. 2011

Int J of Soc Robotics

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In the design of service robots, a key research focus has been on Human Robot Interaction (HRI) required in service applications. HRI is one of the critical factors that determines the acceptability of a service robot. The user acceptance of a service robot and its applications is highly related to HRI, as HRI affects the user perception and user experience related to the robot. In this paper, a new design approach is proposed for designing and implementing HRI for service robot applications designed for real scenarios in the real-world environment. The objective of this design approach is to facilitate inter-disciplinary collaborations, which are essential for HRI research and for developing successful products. The proposed design approach was used in the design of the healthcare service robot "Cafero" developed at the University of Auckland in collaboration with the Electronic and Telecommunication Research Institute (ETRI) and Yujin Robot Company Ltd. of Korea. Vital signs measurement, medication management, entertainment and falls detection were implemented as service applications of Cafero.In the design process, UML and UMLi modelling diagrams were used to model the robot's multi-modal and interactive behaviour. Interaction design patterns were defined to represent recurring interactions or social cues in HRI using UMLi notations. The proposed design approach emphasises an iterative process to allow discovery of additional HRI requirements in the early design stage and to implement through Component-Based Software Engineering (CBSE).The design of communication initiation and user identification by Cafero is presented as a case study, in order to evaluate the proposed design approach. In this case study, enabling a service robot to act proactively to the presence of a potential user and identifying the user prior to providing healthcare services is presented. For the implementation, Open-RTM component-oriented framework was used.

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Section: Discussionmentioning

confidence: 89%

Section: Discussionmentioning

confidence: 89%

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Multidisciplinary Design Approach for Implementation of Interactive Services

Kuo

Jayawardena

Broadbent

et al. 2011

Int J of Soc Robotics

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“…However, these attempts aim at solving mainstream robotic problems. There are some unique problems to be solved in the domain of socially assistive robotics [8] [9].…”

Section: Introductionmentioning

confidence: 99%

“…Mobility aids [14], manipulation aids [15], therapeutic aids [16], surgical robots [17], physical and mental rehabilitation robots [18] [19], medication reminding robots [8] and elder-care robots [20] [21] are some examples . Among these solutions, 'socially assistive robots' belong to a distinct category.…”

Section: Introductionmentioning

confidence: 99%

An efficient programming framework for socially assistive robots based on separation of robot behavior description from execution

Jayawardena

Kuo

MacDonald

2013

2013 6th IEEE Conference on Robotics, Automation and Mechatronics (RAM)

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Abstract-One of the main challenges in socially assistive robotics is providing flexible and easy-to-use programming tools for users. Unlike other robots, designing socially assistive robots includes the subject-matter-experts (SMEs) from nonengineering disciplines. Therefore, the provided tools should be suitable for users with less programming experience. On the other hand, socially assistive robotic research involves field trials and user-centric studies, in which user and subject matter expert comments are used to improve the robot applications. Therefore, field programmability and customizability are key requirements. This paper presents a programming framework for socially assistive robots, which satisfies the above requirements; programmability by non-experts, field programmability and customizability. The proposed framework has been successfully implemented, deployed, and tested. Some robots with the framework presented in this paper are already in the commercialization pathway.

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