R2H: Building Multimodal Navigation Helpers that Respond to Help
Requests
- URL: http://arxiv.org/abs/2305.14260v2
- Date: Tue, 17 Oct 2023 17:46:41 GMT
- Title: R2H: Building Multimodal Navigation Helpers that Respond to Help
Requests
- Authors: Yue Fan, Jing Gu, Kaizhi Zheng, Xin Eric Wang
- Abstract summary: We first introduce a novel benchmark, Respond to Help Requests (R2H), to promote the development of multi-modal navigation helpers.
R2H mainly includes two tasks: (1) Respond to Dialog History (RDH), which assesses the helper agent's ability to generate informative responses based on a given dialog history, and (2) Respond during Interaction (RdI), which evaluates the effectiveness and efficiency of the response during consistent cooperation with a task performer.
- Score: 30.695642371684663
- License: http://creativecommons.org/licenses/by/4.0/
- Abstract: Intelligent navigation-helper agents are critical as they can navigate users
in unknown areas through environmental awareness and conversational ability,
serving as potential accessibility tools for individuals with disabilities. In
this work, we first introduce a novel benchmark, Respond to Help Requests
(R2H), to promote the development of multi-modal navigation helpers capable of
responding to requests for help, utilizing existing dialog-based embodied
datasets. R2H mainly includes two tasks: (1) Respond to Dialog History (RDH),
which assesses the helper agent's ability to generate informative responses
based on a given dialog history, and (2) Respond during Interaction (RdI),
which evaluates the effectiveness and efficiency of the response during
consistent cooperation with a task performer. Furthermore, we explore two
approaches to construct the navigation-helper agent, including fine-tuning a
novel task-oriented multi-modal response generation model that can see and
respond, named SeeRee, and employing a multi-modal large language model in a
zero-shot manner. Analysis of the task and method was conducted based on both
automatic benchmarking and human evaluations. Project website:
https://sites.google.com/view/response2helprequests/home.
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