The usability of chatbots is an essential aspect of e-government initiatives that aim to improve citizens’ access to public services. Despite significant efforts to enhance e-gov usability in Brazil, there is still a lack of research examining usability pitfalls in human-chatbot interaction. Therefore, this study aims to fill this research gap by presenting an analysis and comparison of ten electronic government chatbots, five national (Brazilian) and five foreign (1 Argentine, 1 Portuguese, 1 American, 1 British, and 1 Singaporean), using an adapted version of Heuristics for chatbots. This study examines the design issues and opportunities that can affect the usability and adoption of e-government chatbots in Brazil. These include enhancing the navigation mechanism for dialogues, improving response times to requests, clearly indicating the end of the dialogue, providing guidance on inputting utterances correctly and implementing standardized utterances for the same actions.
Os aplicativos de governo eletrônico geralmente associam seus chatbots à solução de problemas e à ouvidoria de perguntas dos cidadãos. Este trabalho teve como objetivo avaliar a usabilidade de chatbots por meio de um conjunto de governamentais nacionais e internacionais, heurísticas voltadas para agentes conversacionais adaptadas das heurísticas de Nielsen. Foram avaliados dez chatbots, sendo cinco nacionais (brasileiros) e cinco estrangeiros (1 argentino, 1 português, 1 americano, 1 britânico e 1 singapurense). Os resultados indicam a necessidade de melhorias em diversas questões heurísticas no serviço prestado nessas plataformas.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.