TWIZ-v2: The Wizard of Multimodal Conversational-Stimulus

Rafael Ferreira, Diogo Tavares, Diogo Silva, Rodrigo Valério, João Bordalo +4 more
10/3/2023
cs.CLcs.AI

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Abstract

In this report, we describe the vision, challenges, and scientific contributions of the Task Wizard team, TWIZ, in the Alexa Prize TaskBot Challenge 2022. Our vision, is to build TWIZ bot as an helpful, multimodal, knowledgeable, and engaging assistant that can guide users towards the successful completion of complex manual tasks. To achieve this, we focus our efforts on three main research questions: (1) Humanly-Shaped Conversations, by providing information in a knowledgeable way; (2) Multimodal Stimulus, making use of various modalities including voice, images, and videos; and (3) Zero-shot Conversational Flows, to improve the robustness of the interaction to unseen scenarios. TWIZ is an assistant capable of supporting a wide range of tasks, with several innovative features such as creative cooking, video navigation through voice, and the robust TWIZ-LLM, a Large Language Model trained for dialoguing about complex manual tasks. Given ratings and feedback provided by users, we observed that TWIZ bot is an effective and robust system, capable of guiding users through tasks while providing several multimodal stimuli.

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Cite this paper

@article{ferreira2023twizv,
  title  = {TWIZ-v2: The Wizard of Multimodal Conversational-Stimulus},
  author = {Rafael Ferreira and Diogo Tavares and Diogo Silva and Rodrigo Valério and João Bordalo and Inês Simões and Vasco Ramos and David Semedo and João Magalhães},
  year   = {2023},
  eprint = {2310.02118},
  archivePrefix = {arXiv},
  url    = {http://arxiv.org/abs/2310.02118v2}
}

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