@inproceedings{10.1145/3502178.3529111,
author = {Jeanneret Medina, Maximiliano and Lalanne, Denis and Baudet, C\'{e}dric},
title = {Human-Computer Interaction in Artificial Intelligence for Blind and Vision Impairment: An Interpretative Literature Review Based on Bibliometrics: L’interaction humain-machine en intelligence artificielle pour les aveugles et d\'{e}ficients visuels : Une revue de litt\'{e}rature interpr\'{e}tative fond\'{e}e sur la bibliom\'{e}trie},
year = {2022},
isbn = {9781450391986},
publisher = {Association for Computing Machinery},
address = {New York, NY, USA},
url = {https://doi.org/10.1145/3502178.3529111},
doi = {10.1145/3502178.3529111},
abstract = {The rise of artificial intelligence and particularly machine learning conduct to an emerging landscape of intelligent interactive systems. Such technologies help clinicians to detect diseases from medical imaging, and allow to describe the visual world to people with visual impairment. However, this new technological landscape comes with a set of HCI challenges. To better understand the importance of HCI in AI, we focused on blind and vision impairment as a representative application domain. Using bibliometric techniques, we retained 187 scientific publications organized in three clusters. Our findings show that HCI is absent in research related to medical computer systems but has moderate importance when the aim is to assist BVI in their daily life.},
booktitle = {Adjunct Proceedings of the 33rd Conference on l'Interaction Humain-Machine},
articleno = {3},
numpages = {6},
keywords = {Artificial Intelligence, Bibliom\'{e}trie, Bibliometrics, Blind, D\'{e}ficience Visuelle, Human-Computer Interaction, Intelligence Artificielle, Interaction-Humain Machine, Review, Revue, Visual Impairment},
location = {Namur, Belgium},
series = {IHM '22 Adjunct}
}

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