Article 725 at 2022/02/28 12:47:17 From: yagihashi@ks.kyorin-u.ac.jp Subject: [PSJ-News:00725] $B?M9)CNG=3X2q(B $B8@8l!&2;@<M}2r$HBPOC=hM}8&5f2q!J(BSLUD$B!KBh(B94$B2s8&5f2q(B $B;22CJg=8(B (3/5, 6)$B!J:FAw!K(B

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Date: Mon, 28 Feb 2022 03:45:05 +0000
From: YAGIHASHI Hirotoshi <yagihashi@ks.kyorin-u.ac.jp>
Subject: [PSJ-News:00725] $B?M9)CNG=3X2q(B $B8@8l!&2;@
To: psj-news <psj-news@pragmatics.gr.jp>
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Email: skuroshi [at] lab.tamagawa.ac.jp

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Understanding Trust and Conversational Agents
Jonas Ivarsson (University of Gothenburg, Sweden)

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Prof. Jonas Ivarsson (University of Gothenburg, Sweden)
Understanding Trust and Conversational Agents

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The presentation starts with the recent developments of natural language processing. The quality and interactivity of voice-based interactive services are sometimes so good that the artificial cannot be differentiated from real persons. This means that interactions can be successful without the artificial agent becoming identified as synthetic. However, in such encounters, can it also be said that the interlocutors have understood each other? In what ways do understanding figure in real-world human-computer interactions? The argument will be made that we need two parallel conceptions of understanding to address these questions. By departing from ethnomethodology and conversation analysis, it is illustrated how parties in a conversation regularly deploy two forms of analysis (categorical and sequential) to understand their interactional partner. The interplay between these forms of analysis shapes the developing sense of interactional exchanges and is crucial for established relations, including the feelings of trust and suspicion. The address concludes that the proliferation of conversational systems fueled by artificial intelligence may have unintended consequences, including its impacts on human-human interactions.


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