著者
三野 星弥 吉川 雄一郎 伴 碧 石黒 浩
出版者
一般社団法人 人工知能学会
雑誌
人工知能学会論文誌 (ISSN:13460714)
巻号頁・発行日
vol.37, no.3, pp.IDS-I_1-14, 2022-05-01 (Released:2022-05-01)
参考文献数
39
被引用文献数
1

The goal of this study is to realize a non-task-oriented dialogue agent that is accepted by people in the long term. One approach is using a dialogue strategy in which an agent shares information about other users who are not participating in the current dialogue. This study aims to develop a chatbot that is capable of sharing information about others and to examine its usefulness as well as its problems such as privacy concerns using a long-term empirical experiment in a real-world environment. The result of a 14-day experiment with 120 participants suggested that the usefulness of this dialogue strategy lies in its ability to maintain users’ motivation to interact with the agent and prevent them from having the impression that the agent is mechanical. However, irrespective of the presence of this dialogue strategy, it was suggested that the users were concerned about their privacy to the agent that collected their information on a daily basis. Based on these results, we discussed the relationship between the interestingness of the shared information and the users’ privacy concerns.

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友人グループ内での長期間利用による他者情報のやり取りを行う日常対話チャットボットの評価~ 対話体験とプライバシー意識の調査~ - tall how good https://t.co/WehvvmzN1V #ScholarAlerts

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