Towards Personalized User Interface Design For News Chatbots: A Pilot Study

Xianglin Zhao

doi:10.1145/3544549.3583951

Towards Personalized User Interface Design For News Chatbots: A Pilot Study

Xianglin Zhao^*

^*Corresponding author for this work

Department of Computer Science

Research output: Chapter in book/report/conference proceeding › Conference proceeding › peer-review

1 Citation (Scopus)

Abstract

Numerous mainstream news organizations have adopted chatbots as an emerging channel for delivering personalized news services. However, the news presentation style of chatbots may not satisfy users' personalization needs due to the "one-size-fits-all"design. In this context, we conducted two within-subject studies to investigate the impacts of news reader types, namely "dipper", "tracker", and "reviewer"on users' preference for different interfaces for news selection and reading. Our preliminary findings reveal that all these types of news readers perceived a higher level of ease of selection when using the carousel design. For "trackers"and "reviewers", the question-driven design resulted in a higher level of perceived ease of reading than the in-conversation design. Finally, I discuss my findings and provide insights into personalized user interface design for news chatbots.

Original language	English
Title of host publication	CHI 2023 - Extended Abstracts of the 2023 CHI Conference on Human Factors in Computing Systems
Editors	Albrecht Schmidt, Kaisa Väänänen, Tesh Goyal, Per Ola Kristensson, Anicia Peters
Place of Publication	New York
Publisher	Association for Computing Machinery (ACM)
Number of pages	6
ISBN (Electronic)	9781450394222
DOIs	https://doi.org/10.1145/3544549.3583951
Publication status	Published - 19 Apr 2023
Event	2023 CHI Conference on Human Factors in Computing Systems, CHI 2023 - Hamburg, Germany Duration: 23 Apr 2023 → 28 Apr 2023 https://chi2023.acm.org/ (Conference website) https://dl.acm.org/doi/proceedings/10.1145/3544549 (Conference proceeding)

Publication series

Name	Conference on Human Factors in Computing Systems - Proceedings

Conference

Conference	2023 CHI Conference on Human Factors in Computing Systems, CHI 2023
Country/Territory	Germany
City	Hamburg
Period	23/04/23 → 28/04/23
Internet address	https://chi2023.acm.org/ (Conference website) https://dl.acm.org/doi/proceedings/10.1145/3544549 (Conference proceeding)

User-Defined Keywords

conversational agent
empirical study
news chatbot
personalized interface

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1145/3544549.3583951

Cite this

Zhao, X. (2023). Towards Personalized User Interface Design For News Chatbots: A Pilot Study. In A. Schmidt, K. Väänänen, T. Goyal, P. O. Kristensson, & A. Peters (Eds.), CHI 2023 - Extended Abstracts of the 2023 CHI Conference on Human Factors in Computing Systems Article 573 (Conference on Human Factors in Computing Systems - Proceedings). Association for Computing Machinery (ACM). https://doi.org/10.1145/3544549.3583951

Zhao, Xianglin. / Towards Personalized User Interface Design For News Chatbots : A Pilot Study. CHI 2023 - Extended Abstracts of the 2023 CHI Conference on Human Factors in Computing Systems. editor / Albrecht Schmidt ; Kaisa Väänänen ; Tesh Goyal ; Per Ola Kristensson ; Anicia Peters. New York : Association for Computing Machinery (ACM), 2023. (Conference on Human Factors in Computing Systems - Proceedings).

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title = "Towards Personalized User Interface Design For News Chatbots: A Pilot Study",

abstract = "Numerous mainstream news organizations have adopted chatbots as an emerging channel for delivering personalized news services. However, the news presentation style of chatbots may not satisfy users' personalization needs due to the {"}one-size-fits-all{"}design. In this context, we conducted two within-subject studies to investigate the impacts of news reader types, namely {"}dipper{"}, {"}tracker{"}, and {"}reviewer{"}on users' preference for different interfaces for news selection and reading. Our preliminary findings reveal that all these types of news readers perceived a higher level of ease of selection when using the carousel design. For {"}trackers{"}and {"}reviewers{"}, the question-driven design resulted in a higher level of perceived ease of reading than the in-conversation design. Finally, I discuss my findings and provide insights into personalized user interface design for news chatbots.",

keywords = "conversational agent, empirical study, news chatbot, personalized interface",

author = "Xianglin Zhao",

note = "This study was supported by the Hong Kong Baptist University IRCMS Project (IRCMS/19-20/D05) and IG-FNRA project (RC-FNRA-IG/21-22/SCI/01) Publisher Copyright: {\textcopyright} 2023 Copyright held by the owner/author(s).; 2023 CHI Conference on Human Factors in Computing Systems, CHI 2023 ; Conference date: 23-04-2023 Through 28-04-2023",

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doi = "10.1145/3544549.3583951",

language = "English",

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url = "https://chi2023.acm.org/, https://dl.acm.org/doi/proceedings/10.1145/3544549",

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Zhao, X 2023, Towards Personalized User Interface Design For News Chatbots: A Pilot Study. in A Schmidt, K Väänänen, T Goyal, PO Kristensson & A Peters (eds), CHI 2023 - Extended Abstracts of the 2023 CHI Conference on Human Factors in Computing Systems., 573, Conference on Human Factors in Computing Systems - Proceedings, Association for Computing Machinery (ACM), New York, 2023 CHI Conference on Human Factors in Computing Systems, CHI 2023, Hamburg, Germany, 23/04/23. https://doi.org/10.1145/3544549.3583951

Towards Personalized User Interface Design For News Chatbots: A Pilot Study. / Zhao, Xianglin.
CHI 2023 - Extended Abstracts of the 2023 CHI Conference on Human Factors in Computing Systems. ed. / Albrecht Schmidt; Kaisa Väänänen; Tesh Goyal; Per Ola Kristensson; Anicia Peters. New York: Association for Computing Machinery (ACM), 2023. 573 (Conference on Human Factors in Computing Systems - Proceedings).

Research output: Chapter in book/report/conference proceeding › Conference proceeding › peer-review

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T2 - 2023 CHI Conference on Human Factors in Computing Systems, CHI 2023

AU - Zhao, Xianglin

N1 - This study was supported by the Hong Kong Baptist University IRCMS Project (IRCMS/19-20/D05) and IG-FNRA project (RC-FNRA-IG/21-22/SCI/01) Publisher Copyright: © 2023 Copyright held by the owner/author(s).

PY - 2023/4/19

Y1 - 2023/4/19

N2 - Numerous mainstream news organizations have adopted chatbots as an emerging channel for delivering personalized news services. However, the news presentation style of chatbots may not satisfy users' personalization needs due to the "one-size-fits-all"design. In this context, we conducted two within-subject studies to investigate the impacts of news reader types, namely "dipper", "tracker", and "reviewer"on users' preference for different interfaces for news selection and reading. Our preliminary findings reveal that all these types of news readers perceived a higher level of ease of selection when using the carousel design. For "trackers"and "reviewers", the question-driven design resulted in a higher level of perceived ease of reading than the in-conversation design. Finally, I discuss my findings and provide insights into personalized user interface design for news chatbots.

AB - Numerous mainstream news organizations have adopted chatbots as an emerging channel for delivering personalized news services. However, the news presentation style of chatbots may not satisfy users' personalization needs due to the "one-size-fits-all"design. In this context, we conducted two within-subject studies to investigate the impacts of news reader types, namely "dipper", "tracker", and "reviewer"on users' preference for different interfaces for news selection and reading. Our preliminary findings reveal that all these types of news readers perceived a higher level of ease of selection when using the carousel design. For "trackers"and "reviewers", the question-driven design resulted in a higher level of perceived ease of reading than the in-conversation design. Finally, I discuss my findings and provide insights into personalized user interface design for news chatbots.

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A2 - Kristensson, Per Ola

A2 - Peters, Anicia

PB - Association for Computing Machinery (ACM)

CY - New York

Y2 - 23 April 2023 through 28 April 2023

ER -

Zhao X. Towards Personalized User Interface Design For News Chatbots: A Pilot Study. In Schmidt A, Väänänen K, Goyal T, Kristensson PO, Peters A, editors, CHI 2023 - Extended Abstracts of the 2023 CHI Conference on Human Factors in Computing Systems. New York: Association for Computing Machinery (ACM). 2023. 573. (Conference on Human Factors in Computing Systems - Proceedings). doi: 10.1145/3544549.3583951

Towards Personalized User Interface Design For News Chatbots: A Pilot Study

Abstract

Publication series

Conference

User-Defined Keywords

UN SDGs

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