Understanding User Experience with AI-Assisted Writing Service

被引:0
|
作者
Kim, Gayoung [1 ]
Kim, Jiyeon [1 ]
Kim, Hyun K. [1 ]
机构
[1] Kwangwoon Univ, Sch Informat Convergence, Dept Artificial Intelligence Applicat, Seoul 01897, South Korea
基金
新加坡国家研究基金会;
关键词
Ethical and trustworthy AI; Human-Centered AI; AI-assistant Service; AI-assisted Writing; User Experience; TRUST;
D O I
10.1007/978-3-031-35894-4_19
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
With the recent development of artificial intelligence (AI) technology, services such as automatic writing evaluation (AWE) and AI-assisted writing have been developed. AWE is often used in education to correct grammar. Unlike AWE, AI-assisted writing is a service that generates content for users. Currently, being a new field, research on AI-assisted writing is insufficient compared to studies on AWE. This study derives user experience factors of AI-assisted writing through a literature review and checks the difference in experience according to the writing case and creativity level. Seven user experience factors were derived through literature research, and the factors were evaluated for "Rytr," an assisted writing service. Thirty-six subjects participated in an online survey. Four prototypes were designed and provided according to the writing case (e-mail, story plot) and creativity level (high, low) of text generation, and a two-way ANOVA was conducted based on survey data. A significant difference was found for each creativity level and writing case. Users obtained more creative writing results when writing a story plot and thought positively about the assisted writing service. In the AI-assisted writing service, the users experienced increased trust and satisfaction when writing a story plot. This study can help design functions based on various types of writing, considering user experience in developing AI-assisted writing services in the future.
引用
收藏
页码:261 / 272
页数:12
相关论文
共 50 条
  • [31] The importance of clinical experience in AI-assisted corneal diagnosis: verification using intentional AI misleading
    Maehara, Hiroki
    Ueno, Yuta
    Yamaguchi, Takefumi
    Kitaguchi, Yoshiyuki
    Miyazaki, Dai
    Nejima, Ryohei
    Inomata, Takenori
    Kato, Naoko
    Chikama, Tai-ichiro
    Ominato, Jun
    Yunoki, Tatsuya
    Tsubota, Kinya
    Oda, Masahiro
    Suzutani, Manabu
    Sekiryu, Tetsuju
    Oshika, Tetsuro
    SCIENTIFIC REPORTS, 2025, 15 (01):
  • [32] Natural Language Generation and Understanding of Big Code for AI-Assisted Programming: A Review
    Wong, Man-Fai
    Guo, Shangxin
    Hang, Ching-Nam
    Ho, Siu-Wai
    Tan, Chee-Wei
    ENTROPY, 2023, 25 (06)
  • [33] AI-assisted automated scoring of picture-cued writing tasks for language assessment
    Zhao, Ruibin
    Zhuang, Yipeng
    Zou, Di
    Xie, Qin
    Yu, Philip L. H.
    EDUCATION AND INFORMATION TECHNOLOGIES, 2023, 28 (06) : 7031 - 7063
  • [34] COMPARATIVE ANALYSIS OF TRADITIONAL VS AI-ASSISTED HEALTH TECHNOLOGY ASSESSMENT DOSSIER WRITING
    Jost, J.
    Walzer, S.
    Vollmer, L.
    VALUE IN HEALTH, 2024, 27 (12) : S375 - S375
  • [35] AI-assisted automated scoring of picture-cued writing tasks for language assessment
    Ruibin Zhao
    Yipeng Zhuang
    Di Zou
    Qin Xie
    Philip L. H. Yu
    Education and Information Technologies, 2023, 28 : 7031 - 7063
  • [36] Beyond Syntax: Exploring Moroccan Undergraduate EFL Learners' Engagement with AI-Assisted Writing
    Moussa, Anass
    Belhiah, Hassan
    ARAB WORLD ENGLISH JOURNAL, 2024, : 138 - 155
  • [37] AI-Assisted Programming: Applications, User Experiences, and Neuro-Symbolic Techniques (Keynote)
    Gulwani, Sumit
    PROCEEDINGS OF THE 30TH ACM JOINT MEETING EUROPEAN SOFTWARE ENGINEERING CONFERENCE AND SYMPOSIUM ON THE FOUNDATIONS OF SOFTWARE ENGINEERING, ESEC/FSE 2022, 2022, : 1 - 1
  • [38] Bridging the Affordance-Actualization Gap in User Preferences for AI-Assisted Trip Planning
    Hrankai, Richard
    Mak, Barry
    JOURNAL OF TRAVEL RESEARCH, 2025,
  • [39] Towards More Effective AI-Assisted Programming: A Systematic Design Exploration to Improve Visual Studio IntelliCode's User Experience
    Vaithilingam, Priyan
    Glassman, Elena L.
    Groenwegen, Peter
    Gulwani, Sumit
    Henley, Austin Z.
    Malpani, Rohan
    Pugh, David
    Radhakrishna, Arjun
    Soares, Gustavo
    Wang, Joey
    Yim, Aaron
    2023 IEEE/ACM 45TH INTERNATIONAL CONFERENCE ON SOFTWARE ENGINEERING: SOFTWARE ENGINEERING IN PRACTICE, ICSE-SEIP, 2023, : 185 - 195
  • [40] AI-ASSISTED DIGITALISATION OF HISTORICAL DOCUMENTS
    Ferro, S.
    Pelillo, M.
    Traviglia, A.
    29TH CIPA SYMPOSIUM DOCUMENTING, UNDERSTANDING, PRESERVING CULTURAL HERITAGE. HUMANITIES AND DIGITAL TECHNOLOGIES FOR SHAPING THE FUTURE, VOL. 48-M-2, 2023, : 557 - 562