{"authors":[{"id":null,"fullName":"Love, Tamlin","name":"Tamlin","surname":"Love","rank":1,"pid":{"id":{"scheme":"orcid_pending","value":"0000-0001-6441-3777"},"provenance":null}},{"id":null,"fullName":"Andriella, Antonio","name":"Antonio","surname":"Andriella","rank":2,"pid":{"id":{"scheme":"orcid_pending","value":"0000-0002-6641-6450"},"provenance":null}},{"id":null,"fullName":"Alenyà Ribas, Guillem","name":"Guillem","surname":"Alenyà Ribas","rank":3,"pid":{"id":{"scheme":"orcid_pending","value":"0000-0002-6018-154x"},"provenance":null}}],"openAccessColor":null,"publiclyFunded":false,"eoscIfGuidelines":null,"type":"publication","language":{"code":"und","label":"Undetermined"},"countries":[{"code":"ES","label":"Spain","provenance":null}],"subjects":[{"subject":{"scheme":"keyword","value":"Àrees temàtiques de la UPC::Informàtica::Robòtica"},"provenance":null},{"subject":{"scheme":"FOS","value":"05 social sciences"},"provenance":null},{"subject":{"scheme":"FOS","value":"0501 psychology and cognitive sciences"},"provenance":null},{"subject":{"scheme":"keyword","value":"Counterfactual explanation"},"provenance":null},{"subject":{"scheme":"keyword","value":"Explainability"},"provenance":null},{"subject":{"scheme":"keyword","value":"Transparency"},"provenance":null},{"subject":{"scheme":"keyword","value":"Human-robot interaction"},"provenance":null}],"mainTitle":"What Would I Do If…? Promoting Understanding in HRI through Real-Time Explanations in the Wild","subTitle":null,"descriptions":["As robots become more and more integrated in human spaces, it is increasingly important for them to be able to explain their decisions to the people they interact with. These explanations need to be generated automatically and in real-time in response to decisions taken in dynamic and often unstructured environments. However, most research in explainable human-robot interaction only considers explanations (often manually selected) presented in controlled environments. We present an explanation generation method based on counterfactuals and demonstrate its use in an \"in-the-wild\"experiment using automatically generated and selected explanations of autonomous interactions with real people to assess the effect of these explanations on participants' ability to predict the robot's behaviour in hypothetical scenarios. Our results suggest that explanations aid one's ability to predict the robot's behaviour, but also that the addition of counterfactual statements may add some burden and counteract this beneficial effect.","This work was supported by Horizon Europe under the MSCA grant agreement No 101072488 (TRAIL); by the “European Union NextGenerationEU/PRTR” project CHLOE-GRAPH PID2020-118649RB-I00 funded by MCIN/ AEI /10.13039/ 501100011033; by the EU-founded project grant agreement No 101070930 (VALAWAI); and by the Research Council of Norway under the project SECUROPS (INT-NO/0875).","Peer reviewed"],"publicationDate":"2024-08-26","publisher":"IEEE","embargoEndDate":null,"sources":["Crossref","reponame:Digital.CSIC. Repositorio Institucional del CSIC","instname:Consejo Superior de Investigaciones Científicas (CSIC)","reponame:UPCommons. 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