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Authors: Claudia Bonanno 1 ; Francesco Ragusa 1 ; 2 ; Rosario Leonardi 1 ; Antonino Furnari 1 ; 2 and Giovanni Maria Farinella 1 ; 2

Affiliations: 1 FPV@IPLAB, DMI - University of Catania, Italy ; 2 Next Vision s.r.l. - Spinoff of the University of Catania, Italy

Keyword(s): First Person Vision, Object Detection, Chatbot, Conversational Agent, Visual Question Answering.

Abstract: We present HERO, a Conversational Intelligent Assistant to support workers in industrial domains. The proposed system is able to interact with humans using natural language and observing the surrounding world in order to avoid the language ambiguity. HERO is composed of four modules: 1) the input module to process both text and visual signals, 2) the NLP module to predict user intent and extract relevant entities from text, 3) the object detection module to extract entities by analyzing images captured by the user and 4) the output module which is responsible for choosing the best answer to send to the user. To assess its usefulness in a real scenario, the proposed system is implemented and evaluated in an industrial laboratory setting. Preliminary experiments show that HERO achieves good performance in predicting intents and entities exploiting both text and visual signals.

CC BY-NC-ND 4.0

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Paper citation in several formats:
Bonanno, C.; Ragusa, F.; Leonardi, R.; Furnari, A. and Farinella, G. (2022). HERO: An Artificial Conversational Assistant to Support Humans in Industrial Scenarios. In Proceedings of the 19th International Conference on Signal Processing and Multimedia Applications - SIGMAP; ISBN 978-989-758-591-3; ISSN 2184-9471, SciTePress, pages 86-93. DOI: 10.5220/0011318600003289

@conference{sigmap22,
author={Claudia Bonanno. and Francesco Ragusa. and Rosario Leonardi. and Antonino Furnari. and Giovanni Maria Farinella.},
title={HERO: An Artificial Conversational Assistant to Support Humans in Industrial Scenarios},
booktitle={Proceedings of the 19th International Conference on Signal Processing and Multimedia Applications - SIGMAP},
year={2022},
pages={86-93},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011318600003289},
isbn={978-989-758-591-3},
issn={2184-9471},
}

TY - CONF

JO - Proceedings of the 19th International Conference on Signal Processing and Multimedia Applications - SIGMAP
TI - HERO: An Artificial Conversational Assistant to Support Humans in Industrial Scenarios
SN - 978-989-758-591-3
IS - 2184-9471
AU - Bonanno, C.
AU - Ragusa, F.
AU - Leonardi, R.
AU - Furnari, A.
AU - Farinella, G.
PY - 2022
SP - 86
EP - 93
DO - 10.5220/0011318600003289
PB - SciTePress

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