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Virtual assistants such as Amazon's Alexa, Apple's Siri, Google Home, andMicrosoft's Cortana, are becoming ubiquitous in our daily lives andsuccessfully help users in various daily tasks, such as making phone calls orplaying music. Yet, they still struggle with playful utterances, which are notmeant to be interpreted literally. Examples include jokes or absurd requests orquestions such as, "Are you afraid of the dark?", "Who let the dogs out?", or"Order a zillion gummy bears". Today, virtual assistants often returnirrelevant answers to such utterances, except for hard-coded ones addressed bycanned replies.  To address the challenge of automatically detecting playful utterances, wefirst characterize the different types of playful human-virtual assistantinteraction. We introduce a taxonomy of playful requests rooted in theories ofhumor and refined by analyzing real-world traffic from Alexa. We then focus onone node, personification, where users refer to the virtual assistant as aperson ("What do you do for fun?"). Our conjecture is that understanding suchutterances will improve user experience with virtual assistants. We conducted aWizard-of-Oz user study and showed that endowing virtual assistant s with theability to identify humorous opportunities indeed has the potential to increaseuser satisfaction. We hope this work will contribute to the understanding ofthe landscape of the problem and inspire novel ideas and techniques towards thevision of giving virtual assistants a sense of humor.

"Alexa, what do you do for fun?" Characterizing playful requests with virtual assistants