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Grant: Discovery Grants Program - Individual

Toronto Metropolitan University

$17,426.34

Tether: Alleviating Loneliness with Assistive Robotic Social Media Dialog

FY 2024-25

Summary
Loneliness affects 40% of Canadians age 65 or older, particularly under-represented older adults. By 2025, that represents 16 million Canadians. Voice assistants and assistive robots are an emerging healthcare home technology (expected to reach $26 billion USD by 2030). Our interactions with these assistants are currently limited to short conversations about functional tasks. "Tether" is a research effort to build assistive robotic social media dialog technologies to reduce loneliness. To do this, Tether develops cloud computing, voice and robot software and hardware to alleviate loneliness and social isolation by connecting older adults to social media content. My main objective is to create low-cost, speaker-size robots that speak the way we do, rather than making us speak like robots, to alleviate loneliness. Instead of robots using repetitive scripts that don't support long-term interaction, I propose using social media to enable personally relevant, flexible, ongoing, multi-response conversations without repetitive question-and-answers. Social media can provide the backbone of data about relationships and conversation topics so that these systems can talk directly about people in our lives - in contrast to the recent trend of conversational agents that talk about functional tasks like playing music. Therefore, Tether's objective is an integrated system architecture and protocol for building social media assistive robots that employ perception, reasoning and artificial intelligence, while addressing loneliness. I shall use microphone arrays and human-robot interaction data to classify user activity and detect two types of loneliness. I propose to develop a dialog system for naturalistic casual conversations using a hybrid recommendation engine and expert model to pick what social media messages to show lonely people, then use machine learning of human casual conversation with a mutual information model that rewards novelty to determine how to say it. Furthermore, whereas there are social concerns about older adults becoming "friends" with a robot, my research program balances this by building intelligent robots that have social mediation roles. The societal goal of the technology is to learn how to naturally mediate social data to connect people with their communities. Today, it's important for people to be able to take control of their social lives and how they use technology. Thus, this program directly involves citizens with loneliness from under-represented groups in the robot development process and integrates social media with robotics to also fit the habits of today's younger generations. This program culminates in delivering fully autonomous, low-cost proof-of-concept household robots to three gender-based-analysis (SGBA+) populations: older adults with loneliness, minority 60+ers with loneliness and lonely young adults, as part of a longitudinal controlled experiment.
Program
Discovery Grants Program - Individual
Location
Ontario, Canada
Recipient Type
Academia
Type
Grant
Source
NSERC's Awards Data

As published

Application id
RGPIN-2021-03139
Name nom
Li, Jamy
Department département
Mechanical and Industrial Engineering
Organization id
43
Institution établissement
Toronto Metropolitan University
Province en
Ontario
Province fr
Ontario
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2024
Competition year année de concours
2021
Award amount
17426.34
Program id
RGPIN
Program name en
Discovery Grants Program - Individual
Program name fr
Programme de subventions à la découverte - individuelles
Group en
DISCOVERY RESEARCH
Group fr
RECHERCHE AXÉE SUR LA DÉCOUVERTE
Committee code
1507
Committee name en
Computer Science
Committee name fr
Sciences informatiques
Area of application code
802
Area of application group en
Information and communication services
Area of application group fr
Services d'information et de télécommunications
Area of application en
Information systems and technology
Area of application fr
Systèmes d'information et technologie de l'information
Research subject code
2700
Research subject group en
Information technology
Research subject group fr
Technologie de l'information
Research subject en
Information technology
Research subject fr
Technologie de l'information
Field of research list names en
Not available
Field of research list names fr
Non disponible
Socioeconomic objective list names en
Not available
Socioeconomic objective list names fr
Non disponible
Application title
Tether: Alleviating Loneliness with Assistive Robotic Social Media Dialog
Keywords
socially assistive robots; social media; dialog systems; elderly; human-robot interaction; embodied devices; conversational agents; loneliness; twitter; voice assistants
Application summary
Loneliness affects 40% of Canadians age 65 or older, particularly under-represented older adults. By 2025, that represents 16 million Canadians. Voice assistants and assistive robots are an emerging healthcare home technology (expected to reach $26 billion USD by 2030). Our interactions with these assistants are currently limited to short conversations about functional tasks. "Tether" is a research effort to build assistive robotic social media dialog technologies to reduce loneliness. To do this, Tether develops cloud computing, voice and robot software and hardware to alleviate loneliness and social isolation by connecting older adults to social media content. My main objective is to create low-cost, speaker-size robots that speak the way we do, rather than making us speak like robots, to alleviate loneliness. Instead of robots using repetitive scripts that don't support long-term interaction, I propose using social media to enable personally relevant, flexible, ongoing, multi-response conversations without repetitive question-and-answers. Social media can provide the backbone of data about relationships and conversation topics so that these systems can talk directly about people in our lives - in contrast to the recent trend of conversational agents that talk about functional tasks like playing music. Therefore, Tether's objective is an integrated system architecture and protocol for building social media assistive robots that employ perception, reasoning and artificial intelligence, while addressing loneliness. I shall use microphone arrays and human-robot interaction data to classify user activity and detect two types of loneliness. I propose to develop a dialog system for naturalistic casual conversations using a hybrid recommendation engine and expert model to pick what social media messages to show lonely people, then use machine learning of human casual conversation with a mutual information model that rewards novelty to determine how to say it. Furthermore, whereas there are social concerns about older adults becoming "friends" with a robot, my research program balances this by building intelligent robots that have social mediation roles. The societal goal of the technology is to learn how to naturally mediate social data to connect people with their communities. Today, it's important for people to be able to take control of their social lives and how they use technology. Thus, this program directly involves citizens with loneliness from under-represented groups in the robot development process and integrates social media with robotics to also fit the habits of today's younger generations. This program culminates in delivering fully autonomous, low-cost proof-of-concept household robots to three gender-based-analysis (SGBA+) populations: older adults with loneliness, minority 60+ers with loneliness and lonely young adults, as part of a longitudinal controlled experiment.
Toronto Metropolitan University - $17,426 Grant (2024… | Canada Spends