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However, since explanations are not inclined to standardization, finding solutions that fit the algorithmic-based decision-making processes of artificial agents poses a compelling challenge. This paper addresses the concept of trust in relation to complementary aspects that play a role in interpersonal and human\u2013agent relationships, such as users\u2019 confidence and their perception of artificial agents\u2019 reliability. Particularly, this paper focuses on non-expert users\u2019 perspectives, since users with little technical knowledge are likely to benefit the most from \u201cpost-hoc\u201d, everyday explanations. Drawing upon the explainable AI and social sciences literature, this paper investigates how artificial agent\u2019s explainability and trust are interrelated at different stages of an interaction. Specifically, the possibility of implementing explainability as a trust building, trust maintenance and restoration strategy is investigated. To this extent, the paper identifies and discusses the intrinsic limits and fundamental features of explanations, such as structural qualities and communication strategies. Accordingly, this paper contributes to the debate by providing recommendations on how to maximize the effectiveness of explanations for supporting non-expert users\u2019 understanding and trust.<\/jats:p>","DOI":"10.1007\/s00146-022-01462-7","type":"journal-article","created":{"date-parts":[[2022,6,27]],"date-time":"2022-06-27T09:03:11Z","timestamp":1656320591000},"page":"947-960","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":38,"title":["Artificial agents\u2019 explainability to support trust: considerations on timing and context"],"prefix":"10.1007","volume":"38","author":[{"given":"Guglielmo","family":"Papagni","sequence":"first","affiliation":[]},{"given":"Jesse","family":"de Pagter","sequence":"additional","affiliation":[]},{"given":"Setareh","family":"Zafari","sequence":"additional","affiliation":[]},{"given":"Michael","family":"Filzmoser","sequence":"additional","affiliation":[]},{"given":"Sabine T.","family":"Koeszegi","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2022,6,27]]},"reference":[{"key":"1462_CR1","doi-asserted-by":"publisher","first-page":"52138","DOI":"10.1109\/ACCESS.2018.2870052","volume":"6","author":"A Adadi","year":"2018","unstructured":"Adadi A, Berrada M (2018) Peeking inside the black-box: a survey on explainable artificial intelligence (XAI). 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