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

• URL: http://arxiv.org/abs/2105.05571v1
• Date: Wed, 12 May 2021 10:48:00 GMT
• Title: "Alexa, what do you do for fun?" Characterizing playful requests with virtual assistants
• Authors: Chen Shani, Alexander Libov, Sofia Tolmach, Liane Lewin-Eytan, Yoelle Maarek, Dafna Shahaf
• Abstract summary: We introduce a taxonomy of playful requests rooted in theories of humor and refined by analyzing real-world traffic from Alexa. Our conjecture is that understanding such utterances will improve user experience with virtual assistants.
• Score: 68.48043257125678
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: Virtual assistants such as Amazon's Alexa, Apple's Siri, Google Home, and Microsoft's Cortana, are becoming ubiquitous in our daily lives and successfully help users in various daily tasks, such as making phone calls or playing music. Yet, they still struggle with playful utterances, which are not meant to be interpreted literally. Examples include jokes or absurd requests or questions such as, "Are you afraid of the dark?", "Who let the dogs out?", or "Order a zillion gummy bears". Today, virtual assistants often return irrelevant answers to such utterances, except for hard-coded ones addressed by canned replies. To address the challenge of automatically detecting playful utterances, we first characterize the different types of playful human-virtual assistant interaction. We introduce a taxonomy of playful requests rooted in theories of humor and refined by analyzing real-world traffic from Alexa. We then focus on one node, personification, where users refer to the virtual assistant as a person ("What do you do for fun?"). Our conjecture is that understanding such utterances will improve user experience with virtual assistants. We conducted a Wizard-of-Oz user study and showed that endowing virtual assistant s with the ability to identify humorous opportunities indeed has the potential to increase user satisfaction. We hope this work will contribute to the understanding of the landscape of the problem and inspire novel ideas and techniques towards the vision of giving virtual assistants a sense of humor.

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