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An engaging and provocative question can open up a great conversation. Inthis work, we explore a novel scenario: a conversation agent views a set of theuser's photos (for example, from social media platforms) and asks an engagingquestion to initiate a conversation with the user. The existingvision-to-question models mostly generate tedious and obvious questions, whichmight not be ideals conversation starters. This paper introduces a two-phaseframework that first generates a visual story for the photo set and then usesthe story to produce an interesting question. The human evaluation shows thatour framework generates more response-provoking questions for startingconversations than other vision-to-question baselines.

Let's Talk! Striking Up Conversations via Conversational Visual Question Generation