Typefaces and the Perception of Humanness in Natural Language Chatbots

論文URL:http://dl.acm.org/citation.cfm?doid=3025453.3025919

論文アブストラクト:How much do visual aspects influence the perception of users about whether they are conversing with a human being or a machine in a mobile-chat environment? This paper describes a study on the influence of typefaces using a blind Turing test-inspired approach. The study consisted of two user experiments. First, three different typefaces (OCR, Georgia, Helvetica) and three neutral dialogues between a human and a financial adviser were shown to participants. The second experiment applied the same study design but OCR font was substituted by Bradley font. For each of our two independent experiments, participants were shown three dialogue transcriptions and three typefaces counterbalanced. For each dialogue typeface pair, participants had to classify adviser conversations as human or chatbot-like. The results showed that machine-like typefaces biased users towards perceiving the adviser as machines but, unexpectedly, handwritten-like typefaces had not the opposite effect. Those effects were, however, influenced by the familiarity of the user to artificial intelligence and other participants' characteristics.

日本語のまとめ:

チャット環境において,相手が人間なのか機械なのかを,視覚的側面が認識に及ぼす影響についての実験.機械的な書体は「相手は機械である」と認識の偏りがあったが,手書き書体の場合では「相手は人間である」という認識の偏りは見られなかった.

(114文字)

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