Abstract
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What is natural? Challenges and opportunities for conversational recommender systems
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| Sruthi Viswanathan, Fabien Guillot, Antonietta Grasso |
| International Conference on Conversational User Interfaces (CUI) 2020 (online event), 22-24 July, 2020 |
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This position paper describes a fundamental user research to uncover the challenges and opportunities for a conversational recommender system in different environments. The participants recounted their previous experiences of interacting with conversational agents in a critical incident interview, followed by a task to explore restaurant recommendations with Google Assistant, and a closing discussion on conversational recommendations. We organize the challenges faced into three levels: environment, conversation, and system. Further, we illustrate the identified opportunities of whispering interaction, collaborative recommendations, driving scenario, and local-like conversations for delivering recommendations.
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VISION
The research we conduct on expressive visual representations is applicable to visual search, object detection, image classification and the automatic extraction of 3D human poses and shapes that can be used for human behavior understanding and prediction, human-robot interaction or even avatar animation. We also extract 3D information from images that can be used for intelligent robot navigation, augmented reality and the 3D reconstruction of objects, buildings or even entire cities.
Our work covers the spectrum from unsupervised to supervised approaches, and from very deep architectures to very compact ones. We’re excited about the promise of big data to bring big performance gains to our algorithms but also passionate about the challenge of working in data-scarce and low-power scenarios.
Furthermore, we believe that a modern computer vision system needs to be able to continuously adapt itself to its environment and to improve itself via lifelong learning. Our driving goal is to use our research to deliver embodied intelligence to our users in robotics, autonomous driving, via phone cameras and any other visual means to reach people wherever they may be.
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