review-article

The Power of Personalization: A Systematic Review of Personality-Adaptive Chatbots

Authors:

Tarek Ait Baha,

Mohamed El Hajji,

Youssef Es-Saady,

Hammou FadiliAuthors Info & Claims

SN Computer Science, Volume 4, Issue 5

https://doi.org/10.1007/s42979-023-02092-6

Published: 30 August 2023 Publication History

Abstract

Conversation serves as a crucial means for individuals to express their intentions, feelings, attitudes, and personalities, making natural conversational interaction a vital technical competency for conversational agents. With the growing advancements in deep learning and natural language processing techniques, these systems have gained significant traction across various sectors. However, a key challenge lies in developing chatbots that can generate human-like replies adaptable to users’ personalities. This article presents a comprehensive review of previous research on personality adaptive chatbots. By employing a systematic review approach and analyzing 3524 publications from recognized digital databases, we identify 66 relevant works focused on personality adaptive chatbots. The review examines recent studies on personality interpretations and definitions, providing valuable insights into different perspectives on personality. Additionally, it categorizes and analyzes various deep learning approaches used in personality recognition, identifying effective techniques for capturing and understanding a users’ personalities. Furthermore, the review explores the consideration of personal characteristics such as linguistic style, behavior traits, and Persona in adapting chatbot responses to users’ preferences. Lastly, through an analysis of relevant chatbot implementations, the review identifies trends in incorporating personality adaptation and metrics to assess effectiveness and user satisfaction. By synthesizing these findings, we contribute to a deeper understanding of personality adaptive chatbots and the challenges and opportunities associated with developing chatbots that can generate human-like replies adaptable to users’ personalities.

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Cited By

Zhao ZTheune MSrivastava SBraun D(2024)Exploring Lexical Alignment in a Price Bargain ChatbotProceedings of the 6th ACM Conference on Conversational User Interfaces10.1145/3640794.3665576(1-7)Online publication date: 8-Jul-2024
https://dl.acm.org/doi/10.1145/3640794.3665576
Kovacevic NBoschung THolz CGross MWampfler R(2024)Chatbots With Attitude: Enhancing Chatbot Interactions Through Dynamic Personality InfusionProceedings of the 6th ACM Conference on Conversational User Interfaces10.1145/3640794.3665543(1-16)Online publication date: 8-Jul-2024
https://dl.acm.org/doi/10.1145/3640794.3665543
He LBraggaar ABasar EKrahmer EAntheunis MWiers R(2024)Exploring User Engagement Through an Interaction Lens: What Textual Cues Can Tell Us about Human-Chatbot InteractionsProceedings of the 6th ACM Conference on Conversational User Interfaces10.1145/3640794.3665536(1-14)Online publication date: 8-Jul-2024
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cover image SN Computer Science

SN Computer Science Volume 4, Issue 5

Jun 2023

3596 pages

EISSN:2661-8907

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© The Author(s), under exclusive licence to Springer Nature Singapore Pte Ltd 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.

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Publication History

Published: 30 August 2023

Accepted: 26 June 2023

Received: 03 February 2023

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Cited By

Zhao ZTheune MSrivastava SBraun D(2024)Exploring Lexical Alignment in a Price Bargain ChatbotProceedings of the 6th ACM Conference on Conversational User Interfaces10.1145/3640794.3665576(1-7)Online publication date: 8-Jul-2024
https://dl.acm.org/doi/10.1145/3640794.3665576
Kovacevic NBoschung THolz CGross MWampfler R(2024)Chatbots With Attitude: Enhancing Chatbot Interactions Through Dynamic Personality InfusionProceedings of the 6th ACM Conference on Conversational User Interfaces10.1145/3640794.3665543(1-16)Online publication date: 8-Jul-2024
https://dl.acm.org/doi/10.1145/3640794.3665543
He LBraggaar ABasar EKrahmer EAntheunis MWiers R(2024)Exploring User Engagement Through an Interaction Lens: What Textual Cues Can Tell Us about Human-Chatbot InteractionsProceedings of the 6th ACM Conference on Conversational User Interfaces10.1145/3640794.3665536(1-14)Online publication date: 8-Jul-2024
https://dl.acm.org/doi/10.1145/3640794.3665536
Cocchi ABosse Tvan Pinxteren M(2023)Should Conversational Agents Care About Our Gender Identity?Chatbot Research and Design10.1007/978-3-031-54975-5_9(149-163)Online publication date: 22-Nov-2023
https://dl.acm.org/doi/10.1007/978-3-031-54975-5_9

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