{"id":{"repo_id":"mit","oai_identifier":"oai:dspace.mit.edu:1721.1/61944"},"canonical_url":"https://search.dev.ndltd.org/etd/mit/oai:dspace.mit.edu:1721.1/61944","repository":{"repo_id":"mit","name":"MIT","base_url":"https://dspace.mit.edu/oai/request"},"display":{"title":"Raconteur : intelligent assistance for conversational storytelling with media libraries","abstract":"People who are not professional storytellers sometimes have difficulty putting together a coherent and engaging story, even when it is about their own experiences. However, consider putting the same person in a conversation with a sympathetic, interested and questioning listener, suddenly the story comes alive. There's something about the situation of being in a conversation that encourages people to stay on topic, make coherent points, and make the story interesting for a listener. Raconteur is a system for conversational storytelling between a storyteller and a viewer. It provides intelligent assistance in illustrating a life story with photos and videos from a personal media library. Raconteur performs natural language processing on a text chat between two users and recommends appropriate media items from the annotated library, each file with one or a few sentences in unrestricted English. A large commonsense knowledge base and a novel commonsense inference technique are used to understand event relations and determine narration similarity using concept vector computation that goes beyond keyword matching or word co-occurrence based techniques. Furthermore, by identifying larger scale story patterns such as problem and resolution or expectation violation, it assists users in continuing the chatted story coherently. A small user study shows that people find Raconteur's suggestions helpful in real-time storytelling and its interaction design engaging to explore stories together.","abstract_html":"People who are not professional storytellers sometimes have difficulty putting together a coherent and engaging story, even when it is about their own experiences. However, consider putting the same person in a conversation with a sympathetic, interested and questioning listener, suddenly the story comes alive. There's something about the situation of being in a conversation that encourages people to stay on topic, make coherent points, and make the story interesting for a listener. Raconteur is a system for conversational storytelling between a storyteller and a viewer. It provides intelligent assistance in illustrating a life story with photos and videos from a personal media library. Raconteur performs natural language processing on a text chat between two users and recommends appropriate media items from the annotated library, each file with one or a few sentences in unrestricted English. A large commonsense knowledge base and a novel commonsense inference technique are used to understand event relations and determine narration similarity using concept vector computation that goes beyond keyword matching or word co-occurrence based techniques. Furthermore, by identifying larger scale story patterns such as problem and resolution or expectation violation, it assists users in continuing the chatted story coherently. A small user study shows that people find Raconteur's suggestions helpful in real-time storytelling and its interaction design engaging to explore stories together.","abstract_has_math":false,"creators":["Chi, Pei-Yu, S.M. Massachusetts Institute of Technology"],"institution":"Massachusetts Institute of Technology","degree_name":null,"degree_level":null,"degree_discipline":null,"degree_department":"Massachusetts Institute of Technology. Dept. of Architecture. Program in Media Arts and Sciences.","school":null,"contributors":[],"advisors":["Henry Lieberman."],"committee_chairs":[],"committee_members":[],"year":2010,"date_issued":"2010","date_published":"2010","updated_at":"2026-07-22T22:22:29Z","subjects":["Architecture. Program in Media Arts and Sciences."],"languages":["eng"],"rights":["M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. 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