透過實用論證實現適應性說服式推薦對話系統

時至今日，機器人的普及率越來越高，應用也越來越多元。社交機器人被融入到人們的生活，並且藉由考量使用者體驗提供更友善且多樣的服務。隨著高齡化社會的到來，我們期待照護型機器人能夠鼓勵高齡的受照護者，使他們有更健康的生活習慣。本論文採用了實用論證，使得讓受照護者理解某些行為是真正值得去做或是去遵循的，因此我們提出「適應性說服式推薦對話系統。」該系統有三個主要的目標。第一，我們建立了一個知識庫作為實用論證的架構，此知識庫包含了各種「行為」和該行為的「效果」以及造成此效果的「成因。」第二，我們賦予機器人具有推薦某些行為的能力，且此推薦考慮到了機器人和受照護者各自的價值觀，進而產生不同的推薦結果，換句話說，機器人能夠知道如何與受照護者妥協而非絕對的根據個人觀感提供建議。第三，由於推薦過程中會考慮到受照護者之價值觀，機器人會理解受照護者的偏好觀點，並針對其在乎的觀點加以採用並規劃如何做推薦。在此論文末我們邀請二十一位志願者參與我們設計的實驗，並透過實驗結果可以證明該適應性說服式推薦對話系統確實可以影響到受照護者之決策，並藉此說服受照護者達到更健康的生活品質。

關鍵字

說服式推薦對話系統；實用論證；說服式機器人；健康照護；決策對話系統

並列摘要

Robots are more and more popular in decades. Recently, social robots have get involved in human's life, and these robots take the user's feeling into account to friendly provide various services. In an aging society, we expect that a robotic caregiver is able to persuade an elderly person to perform a healthier behavior. In this work, pragmatic argument is adopted to make a user realize that an action is really worthwhile. Therefore, an adaptive recommendation dialogue system through pragmatic argumentation is proposed. There are three objectives in this work: first, we build a knowledge base for pragmatic argument construction, and the knowledge base concerns not only the effect of an action but also the reason for the effect; second, the robot is endowed with the ability to recommend an action that adopts to different users, and the recommended action is determined based on the integration of both robot's and user's value systems. In other words, the robot knows how to compromise with the user; third, the robot will persuade the user through his/her value system, and it will try to select the perspective whereby the user can be more interested in the action recommended by the robot. Finally, we invite 21 volunteers to participate in the experiment. The result has proved that the recommendation system has potential to affect the decision making of the user and help him/her have a healthier life.

並列關鍵字

Persuasive Recommendation Dialogue System ； Pragmatic Argumentation ； Elderly Care ； Persuasive Robot ； Decision Making Dialogue System

參考文獻

[28] Chien-Ming Huang and Bilge Mutlu. Modeling and evaluating narrative gestures for humanlike robots. In Proceedings of Robotics: Science and Systems Conference (RSS 2013), pages 26–32, 2013.

[36] Labreuche, Christophe and Maudet, Nicolas and Ouerdane, Wassila and Parsons, Simon. A dialogue game for recommendation with adaptive preference models.

[13] Hirose, T. ; Robot Dev. Center, Panasonic Corp., Osaka, Japan ; Fujioka, S. ; Mizuno, O. ; Nakamura, T. Development of hair-washing robot equipped with scrubbing fingers. In IEEE International Conference on Robotics and Automation, 2012.

[11] Yi-Shiu Chiang. Adapting Robot Behaviors for Providing Services through Observing Human’s Attention Responses from Human-Robot Interactions. Master’s thesis, National Taiwan University, 5 2015.

[1] United Nations, Department of Economic and Social Affairs, Population Division. World population ageing. A/348, 2013.

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透過實用論證實現適應性說服式推薦對話系統

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