Eldercare Robotics - Alexa

Lee, Eunseo; Vesonder, Gregg; Wendel, Elijah

doi:10.1109/uemcon51285.2020.9298147

Cited by 7 publications

(2 citation statements)

References 6 publications

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“…Daily patterns of conversational Alexa data usage over time have been explored [109]; qualitative studies to understand people's experiences with voice-enabled devices and why interest is oftentimes lost after the novelty effect have been conducted too [110]. In [111], several Alexa Skills have been implemented to assist eldercare at home, including medication alerts, a diet tracking system, and fall alerts sent to the caregiver of older adults. Along similar lines, [62] has proposed a smart home system composed of several Alexa Skills targeted at assisting older people and addressing the needs of Alzheimer's patients and caregivers, including depression screening, medication setup, and dressing assistance.…”

Section: Speech Interfaces For Ageing and Dementia Carementioning

confidence: 99%

Conversational Affective Social Robots for Ageing and Dementia Support

Lima

Wairagkar

Gupta³

et al. 2022

IEEE Trans. Cogn. Dev. Syst.

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Socially assistive robots (SAR) hold significant potential to assist older adults and people with dementia in human engagement and clinical contexts by supporting mental health and independence at home. While SAR research has recently experienced prolific growth, long-term trust, clinical translation and patient benefit remain immature. Affective human-robot interactions are unresolved and the deployment of robots with conversational abilities is fundamental for robustness and humanrobot engagement. In this paper, we review the state of the art within the past two decades, design trends, and current applications of conversational affective SAR for ageing and dementia support. A horizon scanning of AI voice technology for healthcare, including ubiquitous smart speakers, is further introduced to address current gaps inhibiting home use. We discuss the role of user-centred approaches in the design of voice systems, including the capacity to handle communication breakdowns for effective use by target populations. We summarise the state of development in interactions using speech and natural language processing, which forms a baseline for longitudinal health monitoring and cognitive assessment. Drawing from this foundation, we identify open challenges and propose future directions to advance conversational affective social robots for: 1) user engagement, 2) deployment in real-world settings, and 3) clinical translation.

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Section: Speech Interfaces For Ageing and Dementia Carementioning

confidence: 99%

Conversational Affective Social Robots for Ageing and Dementia Support

Lima

Wairagkar

Gupta³

et al. 2022

IEEE Trans. Cogn. Dev. Syst.

View full text Add to dashboard Cite

show abstract

“…The interface is designed to understand domain-specific natural language to support under-resourced languages that lack available ASR software, such as Amazon Alexa. Lee et al [31] explored the possibility of using Amazon Alexa to build smart home services for the elderly or to enhance the effectiveness of existing services such as "carebots". Bodgan et al [32] proposed a framework that integrates voice assistants into smart offices for various tasks such as ambient control and interaction with various services.…”

Section: Introductionmentioning

confidence: 99%

Design and Implementation of a Framework for Smart Home Automation Based on Cellular IoT, MQTT, and Serverless Functions

Esposito

Belli

Palma

et al. 2023

Sensors

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Smart objects and home automation tools are becoming increasingly popular, and the number of smart devices that each dedicated application has to manage is increasing accordingly. The emergence of technologies such as serverless computing and dedicated machine-to-machine communication protocols represents a valuable opportunity to facilitate management of smart objects and replicability of new solutions. The aim of this paper is to propose a framework for home automation applications that can be applied to control and monitor any appliance or object in a smart home environment. The proposed framework makes use of a dedicated messages-exchange protocol based on MQTT and cloud-deployed serverless functions. Furthermore, a vocal command interface is implemented to let users control the smart object with vocal interactions, greatly increasing the accessibility and intuitiveness of the proposed solution. A smart object, namely a smart kitchen fan extractor system, was developed, prototyped, and tested to illustrate the viability of the proposed solution. The smart object is equipped with a narrowband IoT (NB-IoT) module to send and receive commands to and from the cloud. In order to evaluate the performance of the proposed solution, the suitability of NB-IoT for the transmission of MQTT messages was evaluated. The results show how NB-IoT has an acceptable latency performance despite some minimal packet loss.

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Voice Controlled Devices and Older Adults – A Systematic Literature Review

Jakob

2022

Human Aspects of IT for the Aged Population. Design, Interaction and Technology Acceptance

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Eldercare Robotics - Alexa

Cited by 7 publications

References 6 publications

Conversational Affective Social Robots for Ageing and Dementia Support

Conversational Affective Social Robots for Ageing and Dementia Support

Design and Implementation of a Framework for Smart Home Automation Based on Cellular IoT, MQTT, and Serverless Functions

Voice Controlled Devices and Older Adults – A Systematic Literature Review

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