Improving gesture-based interaction between an assistive bathing robot and older adults via user training on the gestural commands

Werner, Christian; Kardaris, Nikolaos; Koutras, Petros; Zlatintsi, Athanasia; Maragos, Petros; Bauer, Jürgen; Hauer, Klaus

doi:10.1016/j.archger.2019.103996

Cited by 18 publications

(14 citation statements)

References 59 publications

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“…A minimum sample size of 25 participants was determined using a two-tailed Wilcoxon signed-rank test power analysis with an α of 0.05, power of 0.8, and effect size index of 0.61. Our effect size is similar to other long-term HRI studies with older adults [64,65], which had effect sizes of 0.61 and 0.6, respectively.…”

Section: Participantssupporting

confidence: 88%

Long-Term Exercise Assistance: Group and One-on-One Interactions between a Social Robot and Seniors

et al. 2023

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For older adults, regular exercises can provide both physical and mental benefits, increase their independence, and reduce the risks of diseases associated with aging. However, only a small portion of older adults regularly engage in physical activity. Therefore, it is important to promote exercise among older adults to help maintain overall health. In this paper, we present the first exploratory long-term human–robot interaction (HRI) study conducted at a local long-term care facility to investigate the benefits of one-on-one and group exercise interactions with an autonomous socially assistive robot and older adults. To provide targeted facilitation, our robot utilizes a unique emotion model that can adapt its assistive behaviors to users’ affect and track their progress towards exercise goals through repeated sessions using the Goal Attainment Scale (GAS), while also monitoring heart rate to prevent overexertion. Results of the study show that users had positive valence and high engagement towards the robot and were able to maintain their exercise performance throughout the study. Questionnaire results showed high robot acceptance for both types of interactions. However, users in the one-on-one sessions perceived the robot as more sociable and intelligent, and had more positive perception of the robot’s appearance and movements.

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Section: Participantssupporting

confidence: 88%

Long-Term Exercise Assistance: Group and One-on-One Interactions between a Social Robot and Seniors

et al. 2023

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“…Considerable intra-cohort variability can also be observed in the patient group regarding the action recognition accuracy (standard deviation ∼26%). This reflects the patients' diverse mental or physical condition which, in several cases, hindered their ability to perform the exercises correctly, as shown by various related works as well (Rodomagoulakis et al, 2016;Werner et al, 2020). Moreover, the biometrics of each patient have a large impact on the system's performance, as some users largely fell outside the camera's field of view.…”

Section: Discussionmentioning

confidence: 98%

The i-Walk Lightweight Assistive Rollator: First Evaluation Study

et al. 2021

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Robots can play a significant role as assistive devices for people with movement impairment and mild cognitive deficit. In this paper we present an overview of the lightweight i-Walk intelligent robotic rollator, which offers cognitive and mobility assistance to the elderly and to people with light to moderate mobility impairment. The utility, usability, safety and technical performance of the device is investigated through a clinical study, which took place at a rehabilitation center in Greece involving real patients with mild to moderate cognitive and mobility impairment. This first evaluation study comprised a set of scenarios in a number of pre-defined use cases, including physical rehabilitation exercises, as well as mobility and ambulation involved in typical daily living activities of the patients. The design and implementation of this study is discussed in detail, along with the obtained results, which include both an objective and a subjective evaluation of the system operation, based on a set of technical performance measures and a validated questionnaire for the analysis of qualitative data, respectively. The study shows that the technical modules performed satisfactory under real conditions, and that the users generally hold very positive views of the platform, considering it safe and reliable.

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“…Study Purpose TRL Price Range Company/Link to the Product Domo Safety (a collection of ambient sensors such as motion, door, pressure, and smoke sensors) [22], [23] Monitoring activity (e.g., by detecting motion) and daily behaviour based on the sensor data. [23], [27], [28], [31], [33], [39], [41], [44], [48], [50]- [53] Contact sensor/magnetic contact sensor/reed contact sensor/Dry contact sensor/door sensor [19], [22], [31], [33], [38], [39], [41], [48], [51], [52], [54], [55] Smart lights (light sensor/light switch sensor/lighting control/smart electric switch) [33], [39], [41], [49]- [51], [55], [56] Robots (ICT-Supported Bath Robots/Robot Era/Robot Activity Support system/mobile robot/KSERA robot/socially-assistive humanoid robot) [17], [20], [41], [42], [46], [47], [57] Wearables (wearable device/wearable fitness tracker/wristwatch/self-developed sensor wristband) [23], [24], [32], [34], …”

Section: Sensor/ Devicementioning

confidence: 99%

“…], [32], [51], [64] Humidity sensor [41], [50], [56], [58] RFID and other tages [18], [29], [30], [34], [35] Sleep sensor/sleep monitor/EMFIT QS bed sensor device [23], [34], [35], [44] Smart phone/care-phone [18], [49], [51], [63] Plug sensors/smart plugs [34], [35], [44] Presence sensor [34], [35], [54] Remotely controlled fan and heating control [49], [55], [ [26], [27], [44], [49] each ies, see Figure 6). These studies used various methods for the evaluation of the systems (e.g., speaker recognition rate [61], command recognition rate [20], number of detected falls [27]), users' evaluations and ratings of the system (e.g., usability [55], user satisfaction [55], user acceptance [51], [63], or other impressions of the system, such as safety [41]), or the system's effect on users (e.g., impacts on independence, performance, and satisfaction [66]). Only two studies solely used qualitative data for evaluation...…”

Section: Sensor/ Devicementioning

confidence: 99%

Smart Home Devices for Supporting Older Adults: A Systematic Review

et al. 2023

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Smart home devices have great potential for supporting older adults' health, safety, and independent living. Past reviews have identified only a few studies on the use of smart home devices for older adults and reported low technology readiness levels for the devices. This article presents a systematic literature review to identify the devices that have been used in studies with older adults, the setting in which those devices have been tested, the evaluation methods of the existing user studies, and the limitations.[Method] ACM DL, Scopus, PubMed, and IEEE Xplore were searched for a set of different keywords that included smart home sensors and older adults. The search was limited to "past ten years" (from the search date). Articles written in English that included user studies evaluating smart home devices with older adults were included. PRISMA guidelines were followed. [Results] 3847 unique articles were identified, 48 of which were included in the review. The articles represented research from a large range of countries. The majority of the studies evaluated the devices in participants' homes, followed by research lab settings. A few articles used other settings such as care centres and hospitals. The studies mainly evaluated the performance of the systems, followed by users' evaluations, such as perceptions and acceptance. Many studies had longterm interactions (more than a month). [Conclusion] there are still limited studies on the impact and benefits of smart home devices on older adults' quality of life, health, or well-being. Future studies are needed to better understand these benefits. INDEX TERMSSmart homes, older adults, smart home devices, systematic review, research gaps I. INTRODUCTION

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Improving gesture-based interaction between an assistive bathing robot and older adults via user training on the gestural commands

Cited by 18 publications

References 59 publications

Long-Term Exercise Assistance: Group and One-on-One Interactions between a Social Robot and Seniors

Long-Term Exercise Assistance: Group and One-on-One Interactions between a Social Robot and Seniors

The i-Walk Lightweight Assistive Rollator: First Evaluation Study

Smart Home Devices for Supporting Older Adults: A Systematic Review

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