111 research outputs found

    Retelling Tales: Patience Agbabi\u27s Queering of Chaucer\u27s The Man of Law\u27s Tale

    No full text
    Geoffrey Chaucer’s The Canterbury Tales is recognized as a formative text within the canon of English literature. Because of his widely known status, Chaucer and his writings have become the central focus of many medievalists; this does not simply mean the increased presence of critical writings, but also creative works that are inspired by The Canterbury Tales. Patience Agbabi’s Telling Tales is a contemporary poetic retelling of The Canterbury Tales in which she explores the origins of ideas such as diaspora, colonization, racialized thinking, social hierarchy, and binary thinking, only to question these ideas in her own writing. Author Seth Lerer argues, “Constructing literary systems entails positing not just a present of performance but a past of cultural identity. It necessitates the self-conscious invention of a history to literature and, in turn, a definition of the poet’s self-appointed role in mediating that history to a present reading, commissioning, or judging community” (Lerer 4). Although Lerer is discussing the ratification of Chaucer into the modern canon of English literature, he is creating a clear line of historical foundations for the practice of rewriting. Agbabi is continuing Chaucer’s practice of drawing on his own surroundings to create a tale of the present. Patience Agbabi rewrites “The Man of Law’s Tale” into a queer and transnational tale by extracting points of origin from the Middle Ages and rewriting them from a contemporary point of view

    An Exploratory Study on Conversational Agents Using Dynamic Conversation Styles

    No full text
    This study aims to examine the effect of dynamically aligning the conversation style to the user’s preference in a conversational agent environment. We suggest a technique to identify the user’s preferred conversation style, by scoring statements based on their writing style. We designed a within-subject experiment intended to measure the user engagement and satisfaction (with style alignment × without style alignment). We found an increase in self reported satisfaction ratings and reflect on how familiarity with the entity behind the chatbot may affect the preference of the conversational style. We finish this study with concrete suggestions to designers and developers of future chatbots and how should the alignment of conversation style be assigned and adaptedCSE3000 Research ProjectComputer Science and Engineerin
    corecore