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Auflistung nach Autor:in "Sugisaki, Kyoko"

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  • Workshopbeitrag
    How users solve problems with presence and affordance in interactions with conversational agents: A wizard of Oz study
    (Mensch und Computer 2022 - Workshopband, 2022) Sugisaki, Kyoko
    In this paper, we present a case study that investigates how users cope with the interactional problems with a multimodal agent in a real-life situation. We conducted a wizard-of-oz study on humanavatar interaction at a science fair and analysed the screen-recorded data of 127 user interactions with the help of conversation analysis. The major problems encountered by users were those of the presence and affordance of the conversational agent. Our results show that wizard-of-oz studies in the wild shed light on these more general fundamental conditions on the interaction, most prominently in the opening section.
  • Konferenzbeitrag
    Usability guidelines and evaluation criteria for conversational user interfaces: a heuristic and linguistic approach
    (Mensch und Computer 2020 - Tagungsband, 2020) Sugisaki, Kyoko; Bleiker, Andreas
    Even though conversational user interfaces (CUI) have been studied since the 1950s, it is not yet fully understood what makes them feel natural, intuitive and usable. As a result, their design and evaluation poses major challenges. In this paper, we discuss how CUIs are different from other forms of human computer interaction, and what challenges and opportunities arise from these differences. We provide an overview of relevant linguistic principles for a natural language conversation and look at established high-level usability heuristics to derive a set of 53 technology-agnostic checkpoints specifically for text-based CUIs (a.k.a chatbots). These checkpoints have been evaluated with 15 professionals and academics from the fields of User Experience, Natural Language Processing, Conversation Analysis and linguistics to examine content validity. The resulting list of checkpoints provides both guidelines for the design and criteria for the evaluation of chatbots.