{"pk":25994,"title":"Asking useful questions: Active learning with rich queries","subtitle":null,"abstract":"Recently, both psychology and machine learning have explored the ability of learners to ask questions. However,\nmuch of this work has focused on a single type of question: a “label query”. When making a label query, the learner selects an\nunfamiliar (unlabeled) item and requests a label for it (e.g., ”What is this?”). We hypothesized that people often prefer much\nricher types of questions (e.g., feature queries: “Is this feature relevant?”, demonstration queries: “Can I see an example of a\nladybug?”, etc.). To study this behavior, we had people play a simple game where they generated natural language questions to\ndetermine a hidden configuration of objects. We compute the normative value of these rich questions as measured by modelbased\nanalyses (e.g., information gain). A second experiment evaluates the ability of human observers to judge this value when\nthe demands of question generation are removed.","language":"eng","license":{"name":"","short_name":"","text":null,"url":""},"keywords":[],"section":"Member Abstracts","is_remote":true,"remote_url":"https://escholarship.org/uc/item/7404618f","frozenauthors":[{"first_name":"Anselm","middle_name":"","last_name":"Rothe","name_suffix":"","institution":"New York University","department":""},{"first_name":"Brenden","middle_name":"","last_name":"Lake","name_suffix":"","institution":"New York University","department":""},{"first_name":"Todd","middle_name":"","last_name":"Gureckis","name_suffix":"","institution":"New York University","department":""}],"date_submitted":null,"date_accepted":null,"date_published":"2015-01-01T18:00:00Z","render_galley":null,"galleys":[{"label":"PDF","type":"pdf","path":"https://journalpub.escholarship.org/cognitivesciencesociety/article/25994/galley/15618/download/"}]}