CATE: An Embodied Conversational Agent for the Elderly

Bravo, Sean Latrelle; Herrera, Cedric Jose; Valdez, Edward Carlo; Poliquit, Klint John; Ureta, Jennifer C.; Cu, Jocelynn; Azcarraga, Judith; Rivera, Joanna Pauline

doi:10.5220/0009174009410948

Cited by 9 publications

(18 citation statements)

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“…The remaining articles involve a minimum of 7 and a maximum of 109 older adults. Among the selected articles, the age of the population varies widely, including people aged >50 [ 22 , 24 , 26 , 30 ], >60 [ 23 , 33 ], >65 [ 27 , 29 ], and >75 years [ 28 ]. Naturally, professionals are younger, ranging from 21 [ 29 ] to 33 [ 36 ] years.…”

Section: Resultsmentioning

confidence: 99%

“…Some studies specify the design of new VA systems developed using the Amazon Alexa platform and Alexa Voice services [ 36 ] or implementing the Google Voice Android Software Development Kit on a tablet [ 27 ]. In other studies, the newly designed VA is embedded in a mobile app [ 23 ], a PC application [ 26 ], or even embodied as a household potted flower [ 35 ]. A total of 13% (2/16) of the articles [ 31 , 32 ] describe the design and the testing of a new VA-based digital intelligent platform.…”

Section: Resultsmentioning

confidence: 99%

“…The environment in most of the articles [ 22 , 24 , 25 , 29 - 31 , 33 , 37 ] is the home, which is alternated, in the study by Pradhan et al [ 32 ], with the older adult living community and, in the studies by Bravo et al [ 23 ] and Simpson et al [ 35 ], with the retirement home. Instead, the environments in other articles are the laboratory [ 26 , 27 ], the independent living facility [ 28 ], the older adult care center [ 34 ], and the day-care facility [ 36 ].…”

Section: Resultsmentioning

confidence: 99%

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Reducing Loneliness and Social Isolation of Older Adults Through Voice Assistants: Literature Review and Bibliometric Analysis

Marziali,

Franceschetti,

Dinculescu

et al. 2024

J Med Internet Res

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Background Loneliness and social isolation are major public health concerns for older adults, with severe mental and physical health consequences. New technologies may have a great impact in providing support to the daily lives of older adults and addressing the many challenges they face. In this scenario, technologies based on voice assistants (VAs) are of great interest and potential benefit in reducing loneliness and social isolation in this population, because they could overcome existing barriers with other digital technologies through easier and more natural human-computer interaction. Objective This study aims to investigate the use of VAs to reduce loneliness and social isolation of older adults by performing a systematic literature review and a bibliometric cluster mapping analysis. Methods We searched PubMed, Embase, and Scopus databases for articles that were published in the last 6 years, related to the following main topics: voice interface, VA, older adults, isolation, and loneliness. A total of 40 articles were found, of which 16 (40%) were included in this review. The included articles were then assessed through a qualitative scoring method and summarized. Finally, a bibliometric analysis was conducted using VOSviewer software (Leiden University’s Centre for Science and Technology Studies). Results Of the 16 articles included in the review, only 2 (13%) were considered of poor methodological quality, whereas 9 (56%) were of medium quality and 5 (31%) were of high quality. Finally, through bibliometric analysis, 221 keywords were extracted, of which 36 (16%) were selected. The most important keywords, by number of occurrences and by total link strength; results of the analysis with the Association Strength normalization method; and default values were then presented. The final bibliometric network consisted of 36 selected keywords, which were grouped into 3 clusters related to 3 main topics (ie, VA use for social isolation among older adults, the significance of age in the context of loneliness, and the impact of sex factors on well-being). For most of the selected articles, the effect of VA on social isolation and loneliness of older adults was a minor theme. However, more investigations were done on user experience, obtaining preliminary positive results. Conclusions Most articles on the use of VAs by older adults to reduce social isolation and loneliness focus on usability, acceptability, or user experience. Nevertheless, studies directly addressing the impact that using a VA has on the social isolation and loneliness of older adults find positive and promising results and provide important information for future research, interventions, and policy development in the field of geriatric care and technology.

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Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

See 1 more Smart Citation

Reducing Loneliness and Social Isolation of Older Adults Through Voice Assistants: Literature Review and Bibliometric Analysis

Marziali,

Franceschetti,

Dinculescu

et al. 2024

J Med Internet Res

View full text Add to dashboard Cite

show abstract

“…Studies of situation recognition include in-home fine-grained scenes (i.e., called context ) recognition [ 10 , 11 , 12 ]), nonintrusive quality characterization of postural changes [ 13 ], and user-defined indoor location sensing [ 14 ]. As for care nursing intervention, it is common to use physical care robots [ 15 , 16 , 17 , 18 ], chatbots [ 19 , 20 , 21 ], and virtual agents [ 22 , 23 , 24 , 25 , 26 ]. The core point of these studies is to encourage dialogue-based interaction between machines and elderly people.…”

Section: Introductionmentioning

confidence: 99%

Assisting Personalized Healthcare of Elderly People: Developing a Rule-Based Virtual Caregiver System Using Mobile Chatbot

Miura

Chen

Saiki

et al. 2022

Sensors

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To assist personalized healthcare of elderly people, our interest is to develop a virtual caregiver system that retrieves the expression of mental and physical health states through human–computer interaction in the form of dialogue. The purpose of this paper is to implement and evaluate a virtual caregiver system using mobile chatbot. Unlike the conventional health monitoring approach, our key idea is to integrate a rule-based virtual caregiver system (called “Mind Monitoring” service) with the physical, mental, and social questionnaires into the mobile chat application. The elderly person receives one question from the mobile chatbot per day, and answers it by pushing the optional button or using a speech recognition technique. Furthermore, a novel method is implemented to quantify the answers, generate visual graphs, and send the corresponding summaries or advice to the specific elder. In the experimental evaluation, we applied it to eight elderly subjects and 19 younger subjects within 14 months. As main results, its effects were significantly improved by the proposed method, including the above 80% in the response rate, the accurate reflection of their real lives from the responses, and high usefulness of the feedback messages with software quality requirements and evaluation. We also conducted interviews with subjects for health analysis and improvement.

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“…In addition to being great learning partners, an extensive body of work demonstrates the design of CA-based technology to be capable of serving as companions or learning partners [41,94] and their social presence has a positive impact on the game experience of users [85]. A CA offers companionship when it provides social, emotional, and informational support so that a user can achieve their goals and a user feels accompanied by a real friend [82].…”

Section: Exploring Cas For Companionshipmentioning

confidence: 99%

Exploring Accessibility and Companionship in Boardgames via Alexa

Karim¹

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The inaccessibility of rulebooks hinders the rule learning experience of boardgame players who are blind or low vision (BLV). We explore the design of conversational agents (CAs) to support players' learning needs and provide companionship by conducting two qualitative studies. In study 1, 14 boardgame players who are BLV first identified their rule learning challenges and co-designed desired social and functional characteristics of CAs to combat these challenges. Based on these findings, we developed a CA using Amazon Alexa and 9 players who are BLV evaluated our CA in study 2. Our findings generated five design principles for CAs to support boardgame rule learning: conciseness, ease of navigation, customization, supplementary features, and social characteristics. These principles guide designers and researchers in exploring the novel design space. Our research also demonstrates the feasibility of our method for conducting accessible remote co-design and evaluation with participants who are BLV.First and foremost, I would like to thank my supervisor Dr. Audrey Girouard, who took me under her guidance, taught me to trust my abilities, and gave me an opportunity to work on something I feel strongly passionate about. Without your guidance and trust, I would not be able to come this far.I would also like to thank everyone at the Creative Interactions Lab. I could not have asked for a better team who is always eager to help and contribute. In particular, I would like to thank Dr. Jin Kang for always having my back and supporting me in every way possible. Thank you for guiding me throughout this journey, cheering me up with your words of encouragement, and spoiling me with those cookies. I am grateful for your extensive hard work and support. I would also offer my thanks to Dr. Karen Cochrane for her thoughtful guidance and problem-solving skills. My special thanks to Leon Lu and Adrian Bolesnikov, for sharing their experiences and ideas at different stages in my journey.I am also thankful for the support that I received from NSERC through the READi program, where I learned in depth about accessibility research, and got a chance to apply it in practice with my wonderful READi ATP team.My eternal thanks to my family and friends for their immense support through and through. To my mother, for inspiring me to follow my dreams and for her unconditional love. To my niece Zoey, the light of my life, for her big smiles and virtual hugs. To my brother and sister-in-law for their support while I navigate my way into a new country. To my friends, who make Ottawa feel like home. And finally, to my partner Ali, for being the biggest source of strength and support in difficult times. Thank you for sticking by my side and celebrating all the big and small wins along.Finally, I am immensely grateful to my participants for sharing their time, insights, and experiences with me.

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CATE: An Embodied Conversational Agent for the Elderly

Cited by 9 publications

References 0 publications

Reducing Loneliness and Social Isolation of Older Adults Through Voice Assistants: Literature Review and Bibliometric Analysis

Reducing Loneliness and Social Isolation of Older Adults Through Voice Assistants: Literature Review and Bibliometric Analysis

Assisting Personalized Healthcare of Elderly People: Developing a Rule-Based Virtual Caregiver System Using Mobile Chatbot

Exploring Accessibility and Companionship in Boardgames via Alexa

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