@inproceedings{tanaka-2024-enhancing,
title = "Enhancing Decision-Making with {AI} Assistance",
author = "Tanaka, Yoshiki",
editor = "Inoue, Koji and
Fu, Yahui and
Axelsson, Agnes and
Ohashi, Atsumoto and
Madureira, Brielen and
Zenimoto, Yuki and
Mohapatra, Biswesh and
Stricker, Armand and
Khosla, Sopan",
booktitle = "Proceedings of the 20th Workshop of Young Researchers' Roundtable on Spoken Dialogue Systems",
month = sep,
year = "2024",
address = "Kyoto, Japan",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2024.yrrsds-1.19",
pages = "50--52",
abstract = "My research interests broadly lie in the influence of artificial intelligence (AI) agents on human decision-making. Specifically, I aim to develop applications for conversational agents in decision-making support. During my master{'}s program, I developed a system that uses an interview dialogue system to support user review writing. In this approach, the conversational agent gathers product information such as users{'} impressions and opinions during the interview, to create reviews, facilitating the review writing process. Additionally, I conducted a comprehensive evaluation from the perspectives of system users and review readers. Although experimental results have shown that the system is capable of generating helpful reviews, the quality of the reviews still depends on how effectively the agent elicits the information from users. Therefore, I believe that personalizing the agent{'}s interview strategy to users{'} preferences regarding the review writing process can further enhance both the user experience and the helpfulness of the review.",
}
<?xml version="1.0" encoding="UTF-8"?>
<modsCollection xmlns="http://www.loc.gov/mods/v3">
<mods ID="tanaka-2024-enhancing">
<titleInfo>
<title>Enhancing Decision-Making with AI Assistance</title>
</titleInfo>
<name type="personal">
<namePart type="given">Yoshiki</namePart>
<namePart type="family">Tanaka</namePart>
<role>
<roleTerm authority="marcrelator" type="text">author</roleTerm>
</role>
</name>
<originInfo>
<dateIssued>2024-09</dateIssued>
</originInfo>
<typeOfResource>text</typeOfResource>
<relatedItem type="host">
<titleInfo>
<title>Proceedings of the 20th Workshop of Young Researchers’ Roundtable on Spoken Dialogue Systems</title>
</titleInfo>
<name type="personal">
<namePart type="given">Koji</namePart>
<namePart type="family">Inoue</namePart>
<role>
<roleTerm authority="marcrelator" type="text">editor</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">Yahui</namePart>
<namePart type="family">Fu</namePart>
<role>
<roleTerm authority="marcrelator" type="text">editor</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">Agnes</namePart>
<namePart type="family">Axelsson</namePart>
<role>
<roleTerm authority="marcrelator" type="text">editor</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">Atsumoto</namePart>
<namePart type="family">Ohashi</namePart>
<role>
<roleTerm authority="marcrelator" type="text">editor</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">Brielen</namePart>
<namePart type="family">Madureira</namePart>
<role>
<roleTerm authority="marcrelator" type="text">editor</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">Yuki</namePart>
<namePart type="family">Zenimoto</namePart>
<role>
<roleTerm authority="marcrelator" type="text">editor</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">Biswesh</namePart>
<namePart type="family">Mohapatra</namePart>
<role>
<roleTerm authority="marcrelator" type="text">editor</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">Armand</namePart>
<namePart type="family">Stricker</namePart>
<role>
<roleTerm authority="marcrelator" type="text">editor</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">Sopan</namePart>
<namePart type="family">Khosla</namePart>
<role>
<roleTerm authority="marcrelator" type="text">editor</roleTerm>
</role>
</name>
<originInfo>
<publisher>Association for Computational Linguistics</publisher>
<place>
<placeTerm type="text">Kyoto, Japan</placeTerm>
</place>
</originInfo>
<genre authority="marcgt">conference publication</genre>
</relatedItem>
<abstract>My research interests broadly lie in the influence of artificial intelligence (AI) agents on human decision-making. Specifically, I aim to develop applications for conversational agents in decision-making support. During my master’s program, I developed a system that uses an interview dialogue system to support user review writing. In this approach, the conversational agent gathers product information such as users’ impressions and opinions during the interview, to create reviews, facilitating the review writing process. Additionally, I conducted a comprehensive evaluation from the perspectives of system users and review readers. Although experimental results have shown that the system is capable of generating helpful reviews, the quality of the reviews still depends on how effectively the agent elicits the information from users. Therefore, I believe that personalizing the agent’s interview strategy to users’ preferences regarding the review writing process can further enhance both the user experience and the helpfulness of the review.</abstract>
<identifier type="citekey">tanaka-2024-enhancing</identifier>
<location>
<url>https://aclanthology.org/2024.yrrsds-1.19</url>
</location>
<part>
<date>2024-09</date>
<extent unit="page">
<start>50</start>
<end>52</end>
</extent>
</part>
</mods>
</modsCollection>
%0 Conference Proceedings
%T Enhancing Decision-Making with AI Assistance
%A Tanaka, Yoshiki
%Y Inoue, Koji
%Y Fu, Yahui
%Y Axelsson, Agnes
%Y Ohashi, Atsumoto
%Y Madureira, Brielen
%Y Zenimoto, Yuki
%Y Mohapatra, Biswesh
%Y Stricker, Armand
%Y Khosla, Sopan
%S Proceedings of the 20th Workshop of Young Researchers’ Roundtable on Spoken Dialogue Systems
%D 2024
%8 September
%I Association for Computational Linguistics
%C Kyoto, Japan
%F tanaka-2024-enhancing
%X My research interests broadly lie in the influence of artificial intelligence (AI) agents on human decision-making. Specifically, I aim to develop applications for conversational agents in decision-making support. During my master’s program, I developed a system that uses an interview dialogue system to support user review writing. In this approach, the conversational agent gathers product information such as users’ impressions and opinions during the interview, to create reviews, facilitating the review writing process. Additionally, I conducted a comprehensive evaluation from the perspectives of system users and review readers. Although experimental results have shown that the system is capable of generating helpful reviews, the quality of the reviews still depends on how effectively the agent elicits the information from users. Therefore, I believe that personalizing the agent’s interview strategy to users’ preferences regarding the review writing process can further enhance both the user experience and the helpfulness of the review.
%U https://aclanthology.org/2024.yrrsds-1.19
%P 50-52
Markdown (Informal)
[Enhancing Decision-Making with AI Assistance](https://aclanthology.org/2024.yrrsds-1.19) (Tanaka, YRRSDS-WS 2024)
ACL
- Yoshiki Tanaka. 2024. Enhancing Decision-Making with AI Assistance. In Proceedings of the 20th Workshop of Young Researchers' Roundtable on Spoken Dialogue Systems, pages 50–52, Kyoto, Japan. Association for Computational Linguistics.