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Easy Assistant: An App Design Study to Alleviate Daily Work Anxiety Among College Faculty

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  • @ARTICLE{10.4108/eetpht.11.11052,
        author={Jiao Jiang and Haoteng Chen and Yousheng Yao and Hao Gu and Junfeng Chen and Yesheng Hong},
        title={Easy Assistant: An App Design Study to Alleviate Daily Work Anxiety Among College Faculty},
        journal={EAI Endorsed Transactions of Pervasive Health and Technology},
        volume={11},
        number={1},
        publisher={EAI},
        journal_a={PHAT},
        year={2026},
        month={1},
        keywords={Cognitive Load Theory, Natural language Processing, Occupational mental health, Work anxiety, Cognitive load, mHealth},
        doi={10.4108/eetpht.11.11052}
    }
    
  • Jiao Jiang
    Haoteng Chen
    Yousheng Yao
    Hao Gu
    Junfeng Chen
    Yesheng Hong
    Year: 2026
    Easy Assistant: An App Design Study to Alleviate Daily Work Anxiety Among College Faculty
    PHAT
    EAI
    DOI: 10.4108/eetpht.11.11052
Jiao Jiang1, Haoteng Chen1,*, Yousheng Yao1,2,3, Hao Gu1, Junfeng Chen1, Yesheng Hong4,3
  • 1: Zhongkai University of Agriculture and Engineering
  • 2: Macau University of Science and Technology
  • 3: People's Government of Jiangdong Town
  • 4: Jiangdong Town Industrial Development Service Center
*Contact email: 2978277328@qq.com

Abstract

INTRODUCTION: Faculty juggle teaching, research, administration, and student support amid unstructured email, chat, and LMS alerts. These demands are linked to increased extraneous cognitive load and are associated with work anxiety. We evaluate a CLT-guided NLP app that structures messages into tasks. OBJECTIVES: Assess technical performance and preliminary pre–post changes in anxiety and workload. METHODS: Stage I validated a four-stage pipeline (cleaning; intent/entity recognition; probability calibration (evaluated by ECE); task structuring with priority gating). Stage II was a 4-week single-group pre–post feasibility study (N = 30) using GAD-7 and NASA-TLX. RESULTS: Intent F1 = 0.92; entity F1 = 0.89; 87% of tasks met TC ≥ 0.8. GAD-7 decreased by 2.7 points (95% CI [−3.6, −1.8]) and NASA-TLX by 16.3 (95% CI [−20.5, −12.1]); usability was high (SUS = 78.2). CONCLUSION: We observed pre–post reductions in workload and anxiety after four weeks of use; causal inference awaits controlled trials.

Keywords
Cognitive Load Theory, Natural language Processing, Occupational mental health, Work anxiety, Cognitive load, mHealth
Received
2025-11-22
Accepted
2026-01-06
Published
2026-01-15
Publisher
EAI
http://dx.doi.org/10.4108/eetpht.11.11052

Copyright © 2026 Jiao Jiang et al., licensed to EAI. This is an open access article distributed under the terms of the CC BY-NC-SA 4.0, which permits copying, redistributing, remixing, transformation, and building upon the material in any medium so long as the original work is properly cited.

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