What People with Dementia Want: Designing MARIO an Acceptable Robot Companion

Casey, Dympna; Felzmann, Heike; Pegman, Geoff; Kouroupetroglou, Christos; Murphy, Kathy; Koumpis, Adamantios; Whelan, Sally

doi:10.1007/978-3-319-41264-1_44

Cited by 28 publications

(28 citation statements)

References 33 publications

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“…Hence, the exposure to such technology is still very limited worldwide and the need to identify potential safety issues arises. The wide adoption of social companions and smart toys would introduce some concerns and ethical considerations that must be addressed early on [22,24,74,100].…”

Section: Robots and Potential Risksmentioning

confidence: 99%

Head Impact Severity Measures for Small Social Robots Thrown During Meltdown in Autism

Alhaddad

Cabibihan

Bonarini

2018

Int J of Soc Robotics

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Social robots have gained a lot of attention recently as they have been reported to be effective in supporting therapeutic services for children with autism. However, children with autism may exhibit a multitude of challenging behaviors that could be harmful to themselves and to others around them. Furthermore, social robots are meant to be companions and to elicit certain social behaviors. Hence, the presence of a social robot during the occurrence of challenging behaviors might increase any potential harm. In this paper, we identified harmful scenarios that might emanate between a child and a social robot due to the manifestation of challenging behaviors. We then quantified the harm levels based on severity indices for one of the challenging behaviors (i.e. throwing of objects). Our results showed that the overall harm levels based on the selected severity indices are relatively low compared to their respective thresholds. However, our investigation of harm due to throwing of a small social robot to the head revealed that it could potentially cause tissue injuries, subconcussive or even concussive events in extreme cases. The existence of such behaviors must be accounted for and considered when developing interactive social robots to be deployed for children with autism.

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Section: Robots and Potential Risksmentioning

confidence: 99%

Head Impact Severity Measures for Small Social Robots Thrown During Meltdown in Autism

Alhaddad

Cabibihan

Bonarini

2018

Int J of Soc Robotics

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“…On the other hand, there are approaches that promote the use of assistive technology to help people with dementia with activities of daily living (ADLs) [20,13,18,8] and support different kinds of therapy to address psychological, emotional and behavioral symptoms of dementia [1,3,14,15].…”

Section: Related Workmentioning

confidence: 99%

“…Casey et al [1] performed a qualitative study wich describes how people with dementia and other key stakeholders could help to design a companion robot (MARIO). In their research they identified elements of importance to end users that make a companion robot acceptable to them and more likely that they would engage and interact with it.…”

Section: Related Workmentioning

confidence: 99%

Towards a Natural Language-based Dialog Model as an Assistant Tool for Dementia Therapy

Somodevilla¹,

Morales-de-Jesús²

2019

RCS

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Reminiscence therapy is a treatment of dementia that mitigates the unstable psychological states of a person with dementia, through conversations between patient and caregiver that evoke past experiences focusing on the patient's long-term memory. It is recommended that a person with dementia receive this type of therapy constantly. In this work, we propose the design of a dialog model that generates personalized conversations between a conversational system and patients with Alzheimer's disease, with the aim to assist their caregivers in providing this type of therapy. The proposed model will be capable of getting a semantic interpretation about what the user is saying, identifying the type of dialog, also it will use information from the patient's life history and lifestyle to generate the conversations. During the dialog between the system and the patient, the model searches for relevant information related to the patient's history through the use of ontologies to enrich and develop a further conversation.

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“…In the last decade, we have witnessed a considerable boost in this topic, with the development of new capabilities and skills for the robot that allows it, for example, to act as in-home caregivers capable of feeding disabled people [1], to support independent locomotion with smart wheelchairs [2], to promote cognitive activities for elders [3,4], to assist the user in finding lost objects [5] or unnoticed gas leaks [6], or to provide entertainment and health-related social network interactions [7]. In Europe, the interest in assistive robotics is clearly revealed by the number of EU research projects funded in the very recent years (e.g., [8][9][10][11][12][13]).…”

Section: Introductionmentioning

confidence: 99%

Automatic Waypoint Generation to Improve Robot Navigation Through Narrow Spaces

Moreno

Monroy

Ruiz-Sarmiento

et al. 2019

Sensors

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In domestic robotics, passing through narrow areas becomes critical for safe and effective robot navigation. Due to factors like sensor noise or miscalibration, even if the free space is sufficient for the robot to pass through, it may not see enough clearance to navigate, hence limiting its operational space. An approach to facing this is to insert waypoints strategically placed within the problematic areas in the map, which are considered by the robot planner when generating a trajectory and help to successfully traverse them. This is typically carried out by a human operator either by relying on their experience or by trial-and-error. In this paper, we present an automatic procedure to perform this task that: (i) detects problematic areas in the map and (ii) generates a set of auxiliary navigation waypoints from which more suitable trajectories can be generated by the robot planner. Our proposal, fully compatible with the robotic operating system (ROS), has been successfully applied to robots deployed in different houses within the H2020 MoveCare project. Moreover, we have performed extensive simulations with four state-of-the-art robots operating within real maps. The results reveal significant improvements in the number of successful navigations for the evaluated scenarios, demonstrating its efficacy in realistic situations.

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What People with Dementia Want: Designing MARIO an Acceptable Robot Companion

Cited by 28 publications

References 33 publications

Head Impact Severity Measures for Small Social Robots Thrown During Meltdown in Autism

Head Impact Severity Measures for Small Social Robots Thrown During Meltdown in Autism

Towards a Natural Language-based Dialog Model as an Assistant Tool for Dementia Therapy

Automatic Waypoint Generation to Improve Robot Navigation Through Narrow Spaces

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