Human Robot Engagement and Acceptability in Residential Aged Care

Khosla, Rajiv; Nguyen, Kim Phi Phung; Chu, Mei-Tai

doi:10.1080/10447318.2016.1275435

Cited by 88 publications

(141 citation statements)

References 46 publications

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“…In a study of which factors determine long-term user acceptance of social robots [34], the evidence reveals that hedonic factors gain the most attention, but utilitarian factors are a fundamental prerequisite of long-term interactions (i.e., the robot must have a clear purpose). A more recent contribution investigates older adults with dementia at residential aged care facilities over four years [46]. After each trial, the robot's services improved, reflecting staff and resident feedback, leading to statistically significant increases in engagement and robot acceptability.…”

Section: Social Robots For Older Adultsmentioning

confidence: 99%

Robotic Versus Human Coaches for Active Aging: An Automated Social Presence Perspective

Čaić

Avelino

Mahr

et al. 2019

Int J of Soc Robotics

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This empirical study compares elderly people's social perception of human versus robotic coaches in the context of an active and healthy aging program. In evaluating hedonic and utilitarian value perceptions of exergames (i.e., video games integrating physical activity), we consider elderly people's judgments of the warmth and competence (i.e., social cognition) of their assigned coach (human vs. robot). The field experiments involve 58 elderly participants in the real-life context. Leveraging a mixed-method approach that combines quantitative and qualitative data, we show that (1) socially assistive robots activate feelings of (automated) social presence (2) human coaches score higher on perceived warmth and competence relative to robotic coaches, and (3) social cognition affects elderly people's experience (i.e., emotional and cognitive reactions and behavioral intentions) with respect to exergames. These findings can inform future developments and design of social robots and systems for their smoother inclusion into elderly people's social networks. In particular, we recommend that socially assistive robots take complementary roles (e.g., motivational coach) and assist human caregivers in improving elderly people's physical and psychosocial well-being.

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Section: Social Robots For Older Adultsmentioning

confidence: 99%

Robotic Versus Human Coaches for Active Aging: An Automated Social Presence Perspective

Čaić

Avelino

Mahr

et al. 2019

Int J of Soc Robotics

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“…In a prodromal population, data from 8 of the studies suggest that motion data can also be useful in early detection of mild cognitive impairment and/or mild Alzheimer`s disease (Sacco et al, 2012;Hsu et al, 2014;Akl et al, 2015;Dodge et al, 2015;Gochoo et al, 2018;Zhou et al, 2018). While the majority of identified studies focused on the assessment of behaviors, we also identified 8 studies that developed intervention approaches based on sensor data or other feedback (Rowe et al, 2009;Aloulou et al, 2013;Martin et al, 2013;Hattink et al, 2016;Vahia et al, 2017;Khosla et al, 2017;Melander et al, 2018).…”

Section: Discussionmentioning

confidence: 99%

Sensing Technology to Monitor Behavioral and Psychological Symptoms and to Assess Treatment Response in People With Dementia. A Systematic Review

et al. 2020

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Background: The prevalence of dementia is expected to rapidly increase in the next decades, warranting innovative solutions improving diagnostics, monitoring and resource utilization to facilitate smart housing and living in the nursing home. This systematic review presents a synthesis of research on sensing technology to assess behavioral and psychological symptoms and to monitor treatment response in people with dementia. Methods: The literature search included medical peer-reviewed English language publications indexed in Embase, Medline, Cochrane library and Web of Sciences, published up to the 5 th of April 2019. Keywords included MESH terms and phrases synonymous with "dementia", "sensor", "patient", "monitoring", "behavior", and "therapy". Studies applying both cross sectional and prospective designs, either as randomized controlled trials, cohort studies, and case-control studies were included. The study was registered in PROSPERO 3 rd of May 2019. Results: A total of 1,337 potential publications were identified in the search, of which 34 were included in this review after the systematic exclusion process. Studies were classified according to the type of technology used, as (1) wearable sensors, (2) nonwearable motion sensor technologies, and (3) assistive technologies/smart home technologies. Half of the studies investigated how temporarily dense data on motion can be utilized as a proxy for behavior, indicating high validity of using motion data to monitor behavior such as sleep disturbances, agitation and wandering. Further, up to half of the studies represented proof of concept, acceptability and/or feasibility testing. Overall, the technology was regarded as non-intrusive and well accepted. Conclusions: Targeted clinical application of specific technologies is poised to revolutionize precision care in dementia as these technologies may be used both by patients and caregivers, and at a systems level to provide safe and effective care. To

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“…The audios generated for one of the five scores have been provided as Additional files 1, 2, 3, 4, 5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23, and 24. Forty-nine Spanish native speakers took part in the test.…”

Section: Subjective Evaluation 431 Mushra Test Setupmentioning

confidence: 99%

“…For instance, in storytelling [2,3], when one of the characters sings at one point in the story, or in voice output communication aid devices for individuals with vocal disabilities [4] to allow them not only to talk, but also to sing. Moreover, a TTS with singing capabilities could also be useful in assistive technologies, where the incorporation of songs has been proved to be an effective form of improving the engagement of autistic children [5], or to reduce the procedural distress in children with cancer [6], or to augment the positive memories of people with dementia [7], to name a few.…”

Section: Introductionmentioning

confidence: 99%

A unit selection text-to-speech-and-singing synthesis framework from neutral speech: proof of concept

Freixes

Álías

Socoró

2019

J AUDIO SPEECH MUSIC PROC.

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Text-to-speech (TTS) synthesis systems have been widely used in general-purpose applications based on the generation of speech. Nonetheless, there are some domains, such as storytelling or voice output aid devices, which may also require singing. To enable a corpus-based TTS system to sing, a supplementary singing database should be recorded. This solution, however, might be too costly for eventual singing needs, or even unfeasible if the original speaker is unavailable or unable to sing properly. This work introduces a unit selection-based text-to-speech-and-singing (US-TTS&S) synthesis framework, which integrates speech-to-singing (STS) conversion to enable the generation of both speech and singing from an input text and a score, respectively, using the same neutral speech corpus. The viability of the proposal is evaluated considering three vocal ranges and two tempos on a proof-of-concept implementation using a 2.6-h Spanish neutral speech corpus. The experiments show that challenging STS transformation factors are required to sing beyond the corpus vocal range and/or with notes longer than 150 ms. While score-driven US configurations allow the reduction of pitch-scale factors, timescale factors are not reduced due to the short length of the spoken vowels. Moreover, in the MUSHRA test, text-driven and score-driven US configurations obtain similar naturalness rates of around 40 for all the analysed scenarios. Although these naturalness scores are far from those of vocaloid, the singing scores of around 60 which were obtained validate that the framework could reasonably address eventual singing needs.

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Human Robot Engagement and Acceptability in Residential Aged Care

Cited by 88 publications

References 46 publications

Robotic Versus Human Coaches for Active Aging: An Automated Social Presence Perspective

Robotic Versus Human Coaches for Active Aging: An Automated Social Presence Perspective

Sensing Technology to Monitor Behavioral and Psychological Symptoms and to Assess Treatment Response in People With Dementia. A Systematic Review

A unit selection text-to-speech-and-singing synthesis framework from neutral speech: proof of concept

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