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- Lingnan co-develops world's first large-scale AI archaeological system for ancient Chinese plant seeds
- Exploring future applications of ‘AI + wrinkled materials’ in anti-counterfeiting, artificial organs, and stretchable batteries
- AI falls short on context and cultural rhetoric and still cannot replace human interpreters
- AI autonomously taking over tasks may not reduce employees’ mental workload
- Lingnan finds critically endangered Chinese bahaba in western HKSAR waters using co-developed environmental DNA technique
- Tropical species may be near thermal limits
- RGC funding secured for 49 research projects: early-career scholars drive research success
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- Welcoming new students for 2026/27 academic year
- Campus facility upgrades: Canteen (Tai Ning Hall) with diverse cuisines and new convenience store
- Summer exchange initiatives highlight Lingnan’s innovations and global vision
- A record number of seven elite athletes admitted for new academic year
- From Pakistan to the global stage: how Seemi’s ‘Seek Discomfort’ philosophy led to Distinguished Student honours
- Master’s students curate exhibition ‘Who Cares?’, with diverse perspectives of a new generation of curators
- Six Lingnan students awarded HSBC scholarships in 2025-26
- Elite athletes excel at international track cycling and tennis events
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- Lingnan wins 16 awards at Silicon Valley International Invention Festival 2026 - tops Hong Kong universities for total and gold medals
- Lingnan reports record admissions success: ranking first in JUPAS Band A application growth for three consecutive years
- Two AI awards recognise community health and social inclusion breakthroughs
- Top Three-Star Certificate earned for the third consecutive year, plus one of Hong Kong’s Ten Outstanding Community Service Awards
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- Honours awarded to Chairman Yao and Lingnanians
- The Education View names President S. Joe Qin one of the Top 50 Visionary Education Leaders to Watch in 2026
- Canton Tower lights up to celebrate Lingnan’s World No. 1 in Quality Education
- Lingnan rises 300 places in the ShanghaiRanking’s 2026 ARWU
- AI and edTech innovations shine at Learning & Teaching Expo
- Lingnan officially unveils 60th/140th anniversary logo
AI autonomously taking over tasks may not reduce employees’ mental workload
- Research
Issue No. 197 Aug 2026
Prof Jie (Jay) Xu, Director of the Lingnan University Cognitive Science Research Centre and Associate Professor of the Department of Psychology, says that these findings provide vital reference value for various industries.
As artificial intelligence (AI) is gradually being integrated into various industries, human-AI collaboration has become a subject of significant concern. A joint study conducted by the Department of Psychology at Lingnan University found that while AI helps maintain employee performance during surges in workload, allowing it to autonomously decide when to take over and relinquish control may make it difficult for users to regain situational awareness, thereby increasing mental fatigue and even leading to human-machine conflict. Academics point out that enhancing the transparency of intelligent systems to help users understand AI decision-making logic, while ensuring humans retain control over task allocation, is essential for maintaining long-term performance and sound judgement. These findings have been published in the internationally renowned interdisciplinary academic journal, International Journal of Human-Computer Interaction.
Prof Jie (Jay) Xu, Director of the Lingnan University Cognitive Science Research Centre and Associate Professor of the Department of Psychology, noted that these findings provide vital reference value for various industries, including in future flight deck design, remote operations, intelligent transportation, and human-machine collaboration scenarios involving high-risk decision-making.
Click HERE to view the full research paper.
The research team uses the aviation industry as their research background, employing flight simulators to test different modes of human-machine collaboration. The team utilises the multi-attribute task battery, developed by NASA, to mimic work scenarios where operators have to multitask, and analyses how the distribution of decision-making and control authority between humans and intelligent systems affects safety, work efficiency, and user experience.