SICYIRJun 30, 2017

Chatbots as Conversational Recommender Systems in Urban Contexts

arXiv:1706.10076v221 citations
Originality Synthesis-oriented
AI Analysis

This addresses urban governance challenges by enhancing communication tools, but it is incremental as it builds on existing chatbot and recommender system concepts.

The paper proposes using chatbots as conversational recommender systems to improve citizen-policymaker interactions in urban settings, based on insights from a co-design session with over 60 participants.

In this paper, we outline the vision of chatbots that facilitate the interaction between citizens and policy-makers at the city scale. We report the results of a co-design session attended by more than 60 participants. We give an outlook of how some challenges associated with such chatbot systems could be addressed in the future.

Foundations

The foundational work for this paper's niche, ranked by how specifically the neighbourhood builds on it — not by global fame.

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