HERO: An Artificial Conversational Assistant to Support Humans in Industrial Scenarios

Claudia Bonanno, Francesco Ragusa, Francesco Ragusa, Rosario Leonardi, Antonino Furnari, Antonino Furnari, Giovanni Farinella, Giovanni Farinella

2022

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.

Paper Citation

in Harvard Style

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 - Volume 1: SIGMAP, ISBN 978-989-758-591-3, pages 86-93. DOI: 10.5220/0011318600003289

in Bibtex Style

@conference{sigmap22,
author={Claudia Bonanno and Francesco Ragusa and Rosario Leonardi and Antonino Furnari and Giovanni 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 - Volume 1: SIGMAP,},
year={2022},
pages={86-93},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011318600003289},
isbn={978-989-758-591-3},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 19th International Conference on Signal Processing and Multimedia Applications - Volume 1: SIGMAP,
TI - HERO: An Artificial Conversational Assistant to Support Humans in Industrial Scenarios
SN - 978-989-758-591-3
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