Page 37 - Kaleidoscope Academic Conference Proceedings 2021
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from the environment and how. This finding is important in
           terms of supporting the theory of natural pedagogy.

           Parent-infant communication promotes  brain  development
           of the infant as explained above. It further affects subsequent
           vocabulary growth of  children. A  child-vocabulary-
           development  database was developed  for elucidating
           language acquisition in infants. Built upon this database, a
           system called “Pitarie”  (pronounced  pitari-eh) was
           developed  (Figure 4) that enables the user to search for
           picture  books  that match the interests and  developmental
           stage of individual children [5]. Pitarie has  been         Figure 5 – Personalized picture books
           commercialized by NTT DATA Kyushu, and it was installed
           at the Fukui Prefectural Library in April 2019.

                                                                4.  ACHIEVING NATURAL CONVERSATIONS
                                                                          BETWEEN AI AND HUMANS


                                                              Conversational AI involves a computer agent chatting with
                                                              people (in chat-oriented  dialogue systems) and providing
                                                              information and guidance (in task-oriented dialogue
                                                              systems). In both cases, to achieve natural and meaningful
                                                              conversations between AI  and  humans, it is  necessary  to
                                                              advance and integrate both natural language processing and
                                                              knowledge  processing technologies. The English written
                                                              exams administered by the National Center for University
                                                              Entrance Examinations are good benchmarks to test the level
                                                              of such technologies for conversational AI. NTT has been
                                                              participating in the Todai Robot Project called “Can a robot
                                                              get into the University of Tokyo?” launched in 2011 by the
                 Figure 4 – Pitarie: a system that searches for   National  Institute of Informatics, thus tackling English
                              picture books                   exams in collaboration with its research partners. The
                                                              developed AI  system based  on  deep learning achieved a
           More recently, “personalized educational picture  books”   surprisingly high score of 185 out of 200 points (64.1 T-score)
           (Figure 5) were proposed in collaboration with NTT Printing   in the exam’s 2019 version [6].
           Corporation. These picture books are personalized to each
           child so that the next new words for the individual child to   The conversational AI research at NTT includes developing
           learn are selected and inserted into the books. Those new   a unique conversational AI for role playing called Narikiri
           words are  predicted  from the child’s current  vocabulary,   AI, which  reproduces the  behaviors of a celebrity  or  a
           which is given by the child’s parents as a simple vocabulary   character in a novel or a game [7].  Its dialogue  data is
           check list, and the child-vocabulary-development database.   collected through sets of questions and answers posted by
           This venture began with picture books to be read aloud to   online users,  where  one user asks a certain character  a
           children (left and middle books in Figure 5), but more recent   question, and another user mimics the character’s personality
           research revealed that an  understanding  of characters and   to answer it. NTT DOCOMO developed and commercialized
           their correspondence to sounds actually starts around three   “character chat technology” based on this AI and released
           years  old, slightly  before the ability to  read and write   “AI Jimmy.” A new conversational AI project has started in
           hiragana and katakana (Japanese syllabic characters). Thus   cooperation with Seika Town, Kyoto, involving its official
           “names-in-hiragana/katakana picture books” were proposed   public-relations character (mascot) Kyomachi Seika as
           to generate interest in characters targeting children of about   shown Figure 6. The mascot character has attracted many
           three years  old  (right  book in Figure 5). Personalized   fans through social networking services and is a  perfect
           educational picture books can now be  ordered online  at   match  with  Narikiri  AI. In this project, dialogue data,
           https://ehon.nttprint.com/. Books as tangible  printed   including a large amount of knowledge and experience about
           materials, not digital ones, that promote full interaction   Seika Town,  was collected  through cooperation with the
           evoking all five senses are significant for children.
                                                              residents of the town to build a dialogue system to provide
                                                              appropriate information and guidance regarding tourism and
                                                              town administration as  well as to flexibly answer  user
                                                              questions and requests [8].








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