User-Centric Design Paradigms for Trust and Control in Human-LLM-Interactions: A Survey

Milena Belosevic

User-Centric Design Paradigms for Trust and Control in Human-LLM-Interactions: A Survey

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Abstract

As LLMs become widespread, trust in their behavior becomes increasingly important. For NLP research, it is crucial to ensure that not only AI designers and developers, but also end users, are enabled to control the properties of trustworthy LLMs, such as transparency, privacy, or accuracy. However, involving end users in this process remains a practical challenge. Based on a design-centered survey of methods developed in recent papers from HCI and NLP venues, this paper proposes seven design paradigms that can be integrated in NLP research to enhance end-user control over the trustworthiness of LLMs. We discuss design gaps and challenges of applying these paradigms in NLP and propose future research directions.

Anthology ID:: 2025.hcinlp-1.3
Volume:: Proceedings of the Fourth Workshop on Bridging Human-Computer Interaction and Natural Language Processing (HCI+NLP)
Month:: November
Year:: 2025
Address:: Suzhou, China
Editors:: Su Lin Blodgett, Amanda Cercas Curry, Sunipa Dev, Siyan Li, Michael Madaio, Jack Wang, Sherry Tongshuang Wu, Ziang Xiao, Diyi Yang
Venues:: HCINLP | WS
SIG:
Publisher:: Association for Computational Linguistics
Note:
Pages:: 17–32
Language:
URL:: https://aclanthology.org/2025.hcinlp-1.3/
DOI:
Bibkey:
Cite (ACL):: Milena Belosevic. 2025. User-Centric Design Paradigms for Trust and Control in Human-LLM-Interactions: A Survey. In Proceedings of the Fourth Workshop on Bridging Human-Computer Interaction and Natural Language Processing (HCI+NLP), pages 17–32, Suzhou, China. Association for Computational Linguistics.
Cite (Informal):: User-Centric Design Paradigms for Trust and Control in Human-LLM-Interactions: A Survey (Belosevic, HCINLP 2025)
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PDF:: https://aclanthology.org/2025.hcinlp-1.3.pdf

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@inproceedings{belosevic-2025-user,
    title = "User-Centric Design Paradigms for Trust and Control in Human-{LLM}-Interactions: A Survey",
    author = "Belosevic, Milena",
    editor = "Blodgett, Su Lin  and
      Curry, Amanda Cercas  and
      Dev, Sunipa  and
      Li, Siyan  and
      Madaio, Michael  and
      Wang, Jack  and
      Wu, Sherry Tongshuang  and
      Xiao, Ziang  and
      Yang, Diyi",
    booktitle = "Proceedings of the Fourth Workshop on Bridging Human-Computer Interaction and Natural Language Processing (HCI+NLP)",
    month = nov,
    year = "2025",
    address = "Suzhou, China",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/2025.hcinlp-1.3/",
    pages = "17--32",
    ISBN = "979-8-89176-353-1",
    abstract = "As LLMs become widespread, trust in their behavior becomes increasingly important. For NLP research, it is crucial to ensure that not only AI designers and developers, but also end users, are enabled to control the properties of trustworthy LLMs, such as transparency, privacy, or accuracy. However, involving end users in this process remains a practical challenge. Based on a design-centered survey of methods developed in recent papers from HCI and NLP venues, this paper proposes seven design paradigms that can be integrated in NLP research to enhance end-user control over the trustworthiness of LLMs. We discuss design gaps and challenges of applying these paradigms in NLP and propose future research directions."
}

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%0 Conference Proceedings
%T User-Centric Design Paradigms for Trust and Control in Human-LLM-Interactions: A Survey
%A Belosevic, Milena
%Y Blodgett, Su Lin
%Y Curry, Amanda Cercas
%Y Dev, Sunipa
%Y Li, Siyan
%Y Madaio, Michael
%Y Wang, Jack
%Y Wu, Sherry Tongshuang
%Y Xiao, Ziang
%Y Yang, Diyi
%S Proceedings of the Fourth Workshop on Bridging Human-Computer Interaction and Natural Language Processing (HCI+NLP)
%D 2025
%8 November
%I Association for Computational Linguistics
%C Suzhou, China
%@ 979-8-89176-353-1
%F belosevic-2025-user
%X As LLMs become widespread, trust in their behavior becomes increasingly important. For NLP research, it is crucial to ensure that not only AI designers and developers, but also end users, are enabled to control the properties of trustworthy LLMs, such as transparency, privacy, or accuracy. However, involving end users in this process remains a practical challenge. Based on a design-centered survey of methods developed in recent papers from HCI and NLP venues, this paper proposes seven design paradigms that can be integrated in NLP research to enhance end-user control over the trustworthiness of LLMs. We discuss design gaps and challenges of applying these paradigms in NLP and propose future research directions.
%U https://aclanthology.org/2025.hcinlp-1.3/
%P 17-32

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Markdown (Informal)

[User-Centric Design Paradigms for Trust and Control in Human-LLM-Interactions: A Survey](https://aclanthology.org/2025.hcinlp-1.3/) (Belosevic, HCINLP 2025)

User-Centric Design Paradigms for Trust and Control in Human-LLM-Interactions: A Survey (Belosevic, HCINLP 2025)

ACL

Milena Belosevic. 2025. User-Centric Design Paradigms for Trust and Control in Human-LLM-Interactions: A Survey. In Proceedings of the Fourth Workshop on Bridging Human-Computer Interaction and Natural Language Processing (HCI+NLP), pages 17–32, Suzhou, China. Association for Computational Linguistics.