Conversation Strategy of a Chatbot for Interactive Recommendations

Ikemoto, Yuichiro; Asawavetvutt, Varit; Kuwabara, Kazuhiro; Huang, Hung-Hsuan

doi:10.1007/978-3-319-75417-8_11

Cited by 5 publications

(2 citation statements)

References 11 publications

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“…Most of the earlier research on recommender systems and chatbots focused exclusively on delivering the right recommendation to the user [44][45][46]. However, it was later found that these agents, because of the way they operate, increase privacy concerns, which in turn negatively impacts user experience.…”

Section: Chatbots As Recommendation Agents and Users' Privacy Concernsmentioning

confidence: 99%

Users’ Information Disclosure Behaviors during Interactions with Chatbots: The Effect of Information Disclosure Nudges

et al. 2022

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Drawing from the tension between a company’s desire for customer information to tailor experiences and a consumer’s need for privacy, this study aims to test the effect of two information disclosure nudges on users’ information disclosure behaviors. Whereas previous literature on user-chatbot interaction focused on encouraging and increasing users’ disclosures, this study introduces measures that make users conscious of their disclosure behaviors to low and high-sensitivity questions asked by chatbots. A within-subjects laboratory experiment entailed 19 participants interacting with chatbots, responding to pre-tested questions of varying sensitivity while being presented with different information disclosure nudges. The results suggest that question sensitivity negatively impacts users’ information disclosures to chatbots. Moreover, this study suggests that adding a sensitivity signal—presenting the level of sensitivity of the question asked by the chatbot—influences users’ information disclosure behaviors. Finally, the theoretical contributions and managerial implications of the results are discussed.

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Section: Chatbots As Recommendation Agents and Users' Privacy Concernsmentioning

confidence: 99%

Users’ Information Disclosure Behaviors during Interactions with Chatbots: The Effect of Information Disclosure Nudges

et al. 2022

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show abstract

“…This paper is a revised and extended version of our ACIIDS 2018 paper (Ikemoto, Asawavetvutt, Kuwabara, & Huang, 2018) in which we proposed a conversation strategy that control the balance between questions and recommendations by parameters, and preliminary evaluation results using the prototype we developed were reported. In evaluating the system, we set parameter values based on the results of preliminary ad hoc trials.…”

Section: Introductionmentioning

confidence: 99%

Tuning a conversation strategy for interactive recommendations in a chatbot setting

Ikemoto

Asawavetvutt

Kuwabara

et al. 2018

Journal of Information and Telecommunication

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This paper presents a conversation strategy for interactive recommendations using a chatbot. Chatbots have recently been attracting attention for their use as a flexible user interface. To develop an effective chatbot, it is important to determine what kind of questions to ask, what information should be provided, and how to process a user's responses for a given task. In this paper, we target a chatbot that uses a graphical user interface (GUI) and focus on the task of recommending an item that suits a user's preference. We propose a conversation strategy where a chatbot combines questions about a user's preferences and recommendations while soliciting user's feedback to them. The balance between the questions and recommendations is controlled by changing the parameter values. In addition, we propose a simulation model to evaluate the performance of interactive recommendation under different parameter values. The simulation results with a prototype dataset are presented and discussed.

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Comparison of the Development of Native Mobile Applications and Applications on Facebook Platform

Macinka

Malý

2019

Mobile Web and Intelligent Information Systems

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Conversation Strategy of a Chatbot for Interactive Recommendations

Cited by 5 publications

References 11 publications

Users’ Information Disclosure Behaviors during Interactions with Chatbots: The Effect of Information Disclosure Nudges

Users’ Information Disclosure Behaviors during Interactions with Chatbots: The Effect of Information Disclosure Nudges

Tuning a conversation strategy for interactive recommendations in a chatbot setting

Comparison of the Development of Native Mobile Applications and Applications on Facebook Platform

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