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Even though intelligent systems such as Siri or Google Assistant areenjoyable (and useful) dialog partners, users can only access predefinedfunctionality. Enabling end-users to extend the functionality of intelligentsystems will be the next big thing. To promote research in this area we carriedout an empirical study on how laypersons teach robots new functions by means ofnatural language instructions. The result is a labeled corpus consisting of3168 submissions given by 870 subjects. The analysis of the dataset revealedthat many participants used certain wordings to express their wish to teach newfunctionality; two corresponding trigrams are among the most frequent. On thecontrary, more than one third (36.93%) did not verbalize the teaching intent atall. We labeled the semantic constituents in the utterances: declaration(including the name of the function) and intermediate steps. The full corpus ispublicly available: http://dx.doi.org/10.21227/zecn-6c61

At your Command! An Empirical Study on How LaypersonsTeach Robots New Functions