AUTHOR=Tokunaga Seiki , Tamura Kazuhiro , Otake-Matsuura Mihoko 

TITLE=A Dialogue-Based System with Photo and Storytelling for Older Adults: Toward Daily Cognitive Training

JOURNAL=Frontiers in Robotics and AI

VOLUME=Volume 8 - 2021

YEAR=2021

URL=https://www.frontiersin.org/journals/robotics-and-ai/articles/10.3389/frobt.2021.644964

DOI=10.3389/frobt.2021.644964

ISSN=2296-9144

ABSTRACT=As the elderly population grows worldwide, living a healthy and full life as an older adult is becoming a topic of great interest. One key factor and severe challenge to maintaining the quality of life in older adults is cognitive decline. Assistive robots for helping older adults have been proposed to solve social isolation, dependent living, etc. However, only a few studies have reported the positive effects of dialogue robots on cognitive function, although a conversation is a promising intervention that includes various cognitive tasks. Existing dialogue robot-related studies reported that they left the dialogue robots at elderly homes and allowed them to use the dialogue robots.
However, it is difficult to reproduce these experiments since participants' characteristics influence experimental conditions, especially at home. Besides, most of the dialogue systems are not designed to set experimental conditions without on-site support.

This study proposes a novel design method that uses a dialogue-based robot system for cognitive training at home.  We define challenges and requirements to meet them in order to realize cognitive function training through daily communication.
Those requirements are designed to satisfy detailed conditions such as duration of dialogue, frequency, and starting-time without on-site support.
Our system displays photos and gives original stories to provide contexts for dialogue that helps to keep on a conversation for each story. Then the system schedules dialogue sessions along with the participant's plan. The robot moderates the user to ask a question and then responses to the question by changing its facial expression. This question-answering procedure continued for a specific duration (4 min.). To verify our design method's effectiveness and implementation, we conduct three user studies recruiting 35 elderly participants. We performed prototype-based, laboratory-based, and home-based experiments. Through these experiments, we evaluate current datasets, user experience, and feasibility for home use. We report on and discuss the older adults' attitudes toward the robot and the number of turns during dialogues. We also classify the types of utterances and identified user needs. 
We show the findings both of our system's essential characteristics are to experiment toward daily cognitive training and explain further feature requests.