AIGC Interactive Interface Design for University Libraries Based on Students' Trust Preferences

LI Xuenan; QIU Jiayao; ZHANG Wenyu; HUANG Yuanyan

doi:10.19554/j.cnki.1001-3563.2026.08.008

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Packaging Engineering ›› 2026, Vol. 47 ›› Issue (8) : 81-96. DOI: 10.19554/j.cnki.1001-3563.2026.08.008

Industrial Design

AIGC Interactive Interface Design for University Libraries Based on Students' Trust Preferences

LI Xuenan, QIU Jiayao^*, ZHANG Wenyu, HUANG Yuanyan

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Abstract

The work aims to establish personalized trust preferences among students to address the issue that traditional AIGC interactive interface designs for university libraries often overlook students' personalized differences, leading to vague trust construction, so as to enhance user experience and trust. Through questionnaires and interviews, trust preferences of undergraduate, master's, and doctoral students toward AIGC tools were investigated. The Analytic Hierarchy Process (AHP) was used to calculate the weights of influencing factors, and mean comparison analysis was employed to identify differences among the three academic groups across 13 sub-criteria. An orthogonal experiment was conducted to construct high-fidelity interface prototypes, which were then tested by users. Conjoint analysis was applied to build a relational model between trust preferences and design patterns. Subsequently, a digital intelligence service blueprint was utilized to translate quantitative preferences into a complete system architecture. Finally, the feasibility of the solution was validated through a trust measurement scale, user satisfaction surveys, and in-depth interviews. The results revealed differentiated trust preferences by academic levels: undergraduate students prioritized competence trust, master's students focused on process trust, and doctoral students exhibited a blend of competence and emotional trust. Based on the results of a comprehensive orthogonal array, seven design factors were identified and used to construct an AIGC interactive interface prototype. In conclusion, the AIGC interactive interface significantly outperforms the traditional university library interface in terms of both user satisfaction and trust. This student trust-informed AIGC interface design approach provides a feasible pathway for future smart digital university libraries to accommodate personalized needs.

Key words

trust preference / Artificial Intelligence Generated Content (AIGC) / user experience / interactive interface / university library

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LI Xuenan, QIU Jiayao, ZHANG Wenyu, HUANG Yuanyan. AIGC Interactive Interface Design for University Libraries Based on Students' Trust Preferences[J]. Packaging Engineering. 2026, 47(8): 81-96 https://doi.org/10.19554/j.cnki.1001-3563.2026.08.008

References

[1] 周莹, 沈悦. 生成式人工智能技术在博物馆叙事中的应用研究[J]. 包装工程, 2024, 45(20): 513-517.
ZHOU Y, SHEN Y.Application of Generative Artificial Intelligence in Museum Narratives[J]. Packaging Engineering, 2024, 45(20): 513-517.
[2] 汪聪, 张春红, 高楠, 等. 面向人工智能生成内容时代的图书馆服务适应与创新[J]. 情报理论与实践, 2024, 47(7): 17-24.
WANG C, ZHANG C H, GAO N, et al.Adaptation and Innovation of Library Services in the AIGC Era[J]. Information Studies (Theory & Application), 2024, 47(7): 17-24.
[3] ALAO O D, PRISCILLA E A, AMANZE R C, et al.User-Centered/User Experience Uc/Ux Design Thinking Approach for Designing a University Information Management System[J]. Ingénierie des Systèmes d Information, 2022, 27(4): 577-590.
[4] JIANG T, LUO G, WANG Z K, et al.Research into Influencing Factors in User Experiences of University Mobile Libraries Based on Mobile Learning Mode[J]. Library Hi Tech, 2024, 42(2): 564-579.
[5] PUSPITANINGRUM D N, PERDANA I, UTAMA N I.Redesign Ui/Ux Website Open Library Telkom University Berdasarkan Tipe Kepribadian Influence Dengan Metode Design Thinking[J]. Jurnal Indonesia: Manajemen Informatika Dan Komunikasi, 2023, 4(3): 1874-1886.
[6] YANG W Q, LU Z L, LI Z R, et al.The Impact of Human-AIGC Tools Collaboration on the Learning Effect of College Students: A Key Factor for Future Education[J]. Kybernetes, 2025, 54(15): 7746-7763.
[7] ASHER A D, BRINEY K A, JONES K M L, et al. Questions of Trust: A Survey of Student Expectations and Perspectives on Library Learning Analytics[J]. The Library Quarterly, 2022, 92(2): 151-171.
[8] VU C B, PARK D Y.Why would University Students Use ChatGPT for Health Discourses A Moderated Mediation Analysis[J]. Journal of Consumer Health on the Internet, 2025, 29(2): 149-173.
[9] 王建民, 汪巧凤, 张俊. 自动驾驶中基于透明度的人机界面设计研究[J]. 包装工程, 2023, 44(14): 152-161.
WANG J M, WANG Q F, ZHANG J.Human-Machine Interface Design Based on Transparency in Autonomous Driving Scenes[J]. Packaging Engineering, 2023, 44(14): 152-161.
[10] MUIR B M.Trust in Automation: Part I. Theoretical Issues in the Study of Trust and Human Intervention in Automated Systems[J]. Ergonomics, 1994, 37(11): 1905-1922.
[11] JIAN J Y, BISANTZ A M, DRURY C G.Foundations for an Empirically Determined Scale of Trust in Automated Systems[J]. International Journal of Cognitive Ergonomics, 2000, 4(1): 53-71.
[12] 王永东, 孙凌云, 杨先艺. 基于FBS和AHP的AI大模型辅助无障碍智能轮椅设计研究[J]. 包装工程, 2025, 46(4): 172-182.
WANG Y D, SUN L Y, YANG X Y.AI Large Model Assisted Accessible Intelligent Wheelchair Design Based on FBS and AHP[J]. Packaging Engineering, 2025, 46(4): 172-182.
[13] LIU J B, ANG M C, CHAW J K, et al.Performance Evaluation of HMI Based on AHP and GRT for GUI[C]//2022 IEEE International Conference on Artificial Intelligence in Engineering and Technology (IICAIET). Kota Kinabalu: IEEE, 2022: 1-5.
[14] IM K H, KIM W, HONG S J.A Study on Single Pilot Resource Management Using Integral Fuzzy Analytical Hierarchy Process[J]. Safety, 2021, 7(4): 84.
[15] EDDISON N, HEALY A, DARKE N, et al.Exploration of the Representation of the Allied Health Professions in Senior Leadership Positions in the UK National Health Service[J]. BMJ Leader, 2024, 8(2): 119-126.
[16] DEMICHELIS F, MARTINA C, FINO D, et al.Life Cycle Assessment of Absorbent Hygiene Product Waste: Evaluation and Comparison of Different End-of-Life Scenarios[J]. Sustainable Production and Consumption, 2023, 38: 356-371.
[17] ASTANTI R D, MBOLLA S E, AI T J.Raw Material Supplier Selection in a Glove Manufacturing: Application of AHP and Fuzzy AHP[J]. Decision Science Letters, 2020: 291-312.
[18] LUCE R D, TUKEY J W.Simultaneous Conjoint Measurement: A New Type of Fundamental Measurement[J]. Journal of Mathematical Psychology, 1964, 1(1): 1-27.
[19] 李强, 潘梦媛, 马彪. 面向老年用户的非遗戏剧APP界面设计研究[J]. 包装工程, 2025, 46(8): 133-141.
LI Q, PAN M Y, MA B.Interface Design on Intangible Cultural Heritage Drama APP for Elderly Users[J]. Packaging Engineering, 2025, 46(8): 133-141.
[20] 沈浩, 柯惠新. 结合分析的原理和应用[J]. 数理统计与管理, 1998, 17(4): 39-45.
SHEN H, KE H X.Principle and Application of Conjoint Analysis[J]. Journal of Applied Statistics and Management, 1998, 17(4): 39-45.
[21] 常淑慧, 唐德红. 基于联合分析法的老年人护膝产品设计[J]. 上海纺织科技, 2023, 51(2): 44-47.
CHANG S H, TANG D H.Design of Knee Pads for the Elderly Based on Conjoint Analysis[J]. Shanghai Textile Science & Technology, 2023, 51(2): 44-47.
[22] 葛万达, 盛光华. 基于联合分析的绿色产品属性选择偏好研究[J]. 干旱区资源与环境, 2019, 33(8): 49-54.
GE W D, SHENG G H.Research on Attribute Selection Preference of Green Products Based on Conjoint Analysis[J]. Journal of Arid Land Resources and Environment, 2019, 33(8): 49-54.
[23] HUANG K K, GUO Y Y.Interactive Design of Auxiliary Makeup APP for People with Abnormal Color Perception Based on the Concept of "Inclusive Design"[C]//Universal Access in Human-Computer Interaction. Cham: Springer, 2023: 371-389.
[24] 匡瑛, 姜孟升. 中国特色职普 “双轨制” “双通制” 教育体系的构建[J]. 湖南师范大学教育科学学报, 2025, 24(6): 55-63.
KUANG Y, JIANG M S.Construction of China's "Dual-Track" and "Dual-Pass" Education System for Vocational and General Education[J]. Journal of Educational Science of Hunan Normal University, 2025, 24(6): 55-63.
[25] RAHMAN M, TERANO H J R, RAHMAN N, et al. ChatGPT and Academic Research: A Review and Recommendations Based on Practical Examples[J]. Journal of Education, Management and Development Studies, 2023, 3(1): 1-12.
[26] KARUNARATNE T, ADESINA A.Is It the New Google: Impact of ChatGPT on Students' Information Search Habits[J]. European Conference on e-Learning, 2023, 22(1): 147-155.
[27] 张慧, 佟彤, 叶鹰. AI 2.0时代智慧图书馆的GPT技术驱动创新[J]. 图书馆杂志, 2023, 42(5): 4-8.
ZHANG H, TONG T, YE Y.GPT-Driven Technical Innovation of Smart Libraries in the AI 2.0 Era[J]. Library Journal, 2023, 42(5): 4-8.
[28] 王样, 鄢莉, 殷科, 等. 数智化视角下服务蓝图驱动的公共文化服务创新研究[J]. 包装工程, 2025, 46(18): 244-255.
WANG Y, YAN L, YIN K, et al.Public Cultural Service Innovation Driven by the Service Blueprint under the Perspective of Digital Intelligence[J]. Packaging Engineering, 2025, 46(18): 244-255.