@MASTERSTHESIS{ 2021:90679191,
 	title = {Imagery contents descriptions for people with visual impairments},
 	year = {2021},
 	url = "http://tede2.pucrs.br/tede2/handle/tede/9898",
 	abstract = "Image descriptions intend to express, in words, the visual content and are essential for people who do not have eyesight. Such descriptive sentences are generated manually or by Artificial Intelligence (AI) models. Despite its relevance, the emergence of automatic description generators was not motivated by people with visual impairments; thus, they still cause dissatisfaction in their audience. In this study, we investigate image descriptions issues reported in the literature through the Snowballing technique, where we found thirteen problems, including those related to Ethics, such as physical appearance, gender and identity, race, and disability. We have identified five reasons why sighted people do not write descriptions for visual content, raising the need for accessibility campaigns to make them aware of the social importance of image descriptions. In addition, we conducted a set of interviews with eight low vision participants. We explored the characteristics of the descriptive sentences of 25 indoor images and collected the participants’ expectations of image descriptions. Therefore, through the results of the Snowballing and the interviews, we propose a set of Best Practices to help automatic tools and sighted people in writing more satisfactory and quality descriptive sentences. We hope our results will highlight the social relevance of image descriptions and encourage the community to pursue further interdisciplinary researches that could potentially minimize the issues encountered in our study.",
 	publisher = {Pontifícia Universidade Católica do Rio Grande do Sul},
 	scholl = {Programa de Pós-Graduação em Ciência da Computação},
 	note = {Escola Politécnica}
}