International Journal of Industrial Ergonomics最新文献_第5页

Influence of seat-human contact on discomfort caused by vertical whole-body vibration under Class C road excitation C类路面激励下座椅-人接触对全身垂直振动引起的不适的影响

IF 3 2区工程技术 Q2 ENGINEERING, INDUSTRIAL

International Journal of Industrial Ergonomics

Pub Date : 2025-11-01 Epub Date: 2025-10-17 DOI: 10.1016/j.ergon.2025.103816

Wei Ding , Leizhi Wang , Zhaobo Chen , Hongrui Ao , Hui Yan , Zhitong Li

Various vehicles expose occupants to whole-body vibration (WBV), leading to subjective discomfort in seated individuals. This study investigates the impact of different seat-human contact configurations on subjective discomfort under WBV conditions. Combining the relative magnitude estimation (RME) and absolute magnitude estimation (AME) methods, a static sitting discomfort experiment was conducted before vibration testing to establish subjects' perception of discomfort levels. Under simulated Class C road excitation, five seat-human contact conditions were tested, with data collected on beats per minute (BPM), arterial oxygen saturation (SaO₂), subjective discomfort ratings, and discomfort locations. Results show a significant positive correlation (Spearman's ρ = 0.72, p = 0.002) between the frequency of BPM ‘relative peak’ and subjective discomfort occurrences. Backrest, armrest, and gripping a column reduced the frequency of BPM ‘relative peak’ by 35.3 %, 20.3 %, and 39.8 %, respectively. Headrests and armrests exhibited negative masking effects on discomfort perception, while backrests and gripping a column demonstrated positive masking effects. The optimization of seat design, especially the features of the backrest and column grip, can substantially alleviate the discomfort caused by vibration. This study provides theoretical insights for improving seat-human interaction and enhancing ride comfort.

各种各样的车辆使乘客暴露在全身振动（WBV）中，导致坐着的人的主观不适。本研究旨在探讨不同座位与人接触方式对主观不适的影响。结合相对数量级估计（relative magnitude estimation， RME）和绝对数量级估计（absolute magnitude estimation， AME）方法，在振动测试前进行静态坐姿不适实验，建立受试者对不适程度的感知。在模拟的C级道路激励下，测试了五种座位与人接触的情况，收集了每分钟心跳（BPM）、动脉氧饱和度（SaO2）、主观不适等级和不适部位的数据。结果显示，BPM“相对峰值”频率与主观不适发生率之间存在显著正相关（Spearman's ρ = 0.72, p = 0.002）。靠背、扶手和抓柱分别降低了BPM“相对峰值”的频率35.3%、20.3%和39.8%。头枕和扶手对不适感的掩盖作用为负，而靠背和握柱对不适感的掩盖作用为正。座椅设计的优化，特别是靠背和立柱握把的特点，可以大大减轻振动带来的不适。本研究为改善人座互动、提升乘坐舒适性提供理论依据。

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引用次数: 0

How does peripheral vision affect driver performance when passing on roads with lateral traffic conflicts? A simulated driving experiment 在有横向交通冲突的道路上通过时，周边视觉如何影响驾驶员的行为？模拟驾驶实验

IF 3 2区工程技术 Q2 ENGINEERING, INDUSTRIAL

International Journal of Industrial Ergonomics

Pub Date : 2025-11-01 Epub Date: 2025-10-25 DOI: 10.1016/j.ergon.2025.103828

Fuwei Wu , Kunchen Li , Wenhao Dou , Chang Wang , Zhi Zhang

Peripheral vision plays a crucial role in assisting drivers with searching for traffic information. Previous studies have explored the association between drivers' peripheral vision and their hazard perception ability, but the impact of peripheral vision on driving behavior remains unclear. Thirty-five participants were recruited to conduct a peripheral vision test and a driving simulation experiment. Then, field of view range, number of correct and incorrect responses, target tracking deviation, and perception time were used to assess the peripheral vision perception ability of individuals. The time to first fixation on hazards, brake reaction time, Standard Deviation of Steering Wheel angle (SDSW), and average speed were selected as dependent variables. Then, the influence of the Peripheral Perception-Response Score (PP-RS) and lateral conflict type on driving performance was assessed. The study finds a significant relationship between the driver's PP-RS and lateral stability, with higher PP-RS scores correlating with smaller standard deviation of steering wheel angle. It also reveals that drivers exhibit a longer first fixation time (p < 0.001) and a delayed reaction time (p = 0.001) when encountering a bicycle crossing compared to a vehicle crossing the roadway. The delay in first fixation time and reaction time are about 0.65 s and 0.67 s, respectively. A similar pattern is observed when pedestrians cross a roadway without a crosswalk. Drivers with higher PP-RS scores can perceive risky conflicts earlier when encountering a crossing vehicle, although they do not always slow down earlier. These findings provide valuable theoretical for improving driver training policies.

周边视觉在帮助驾驶员查找交通信息方面起着至关重要的作用。以往的研究已经探讨了驾驶员周边视觉与危险感知能力之间的关系，但周边视觉对驾驶行为的影响尚不清楚。招募35名参与者进行周边视觉测试和模拟驾驶实验。然后用视野范围、正确和错误反应数、目标跟踪偏差和感知时间来评价个体的周边视觉感知能力。因变量为首次注视危险的时间、制动反应时间、方向盘角度标准差（SDSW）和平均车速。然后，评估周边感知反应评分（PP-RS）和横向冲突类型对驾驶绩效的影响。研究发现驾驶员的PP-RS与横向稳定性之间存在显著关系，PP-RS得分越高，方向盘角度标准差越小。该研究还表明，与横穿马路的汽车相比，司机在遇到自行车人行横道时表现出更长的第一注视时间（p < 0.001）和延迟的反应时间（p = 0.001）。第一次注视时间和反应时间的延迟分别为0.65 s和0.67 s。当行人穿过没有人行横道的道路时，也会观察到类似的模式。PP-RS得分较高的司机在遇到过路车辆时，可以更早地感知到危险冲突，尽管他们并不总是更早减速。这些发现为改进驾驶员培训政策提供了有价值的理论依据。

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引用次数: 0

Effects of automation stage on alerted-monitor performance and operator perception with and without concurrent task demands 有无并发任务需求时自动化阶段对报警监控性能和操作员感知的影响

IF 3 2区工程技术 Q2 ENGINEERING, INDUSTRIAL

International Journal of Industrial Ergonomics

Pub Date : 2025-11-01 Epub Date: 2025-11-29 DOI: 10.1016/j.ergon.2025.103849

Jianhua Sun , Suihuai Yu , Jianjie Chu , Xiaojiao Xie , Wenzhe Cun , Hao Fan

Alerted-monitor systems may not be perfectly reliable and are apt to generate false alarms, risking automation misuse. The possibility and severity of automation misuse can be affected by the automation stage of the alerted-monitor task and the presence of concurrent task demands, especially when there is more than one unpredictable false alarm throughout the entire task. Therefore, this study investigated the effects of the automation stage on alerted-monitor performance and operator perception with/without concurrent task demands, aiming to select the appropriate automation stage to mitigate false alarm impacts. Participants performed an alerted-monitor task under two automation stages (decision-making and action implementation) with/without a concurrent manual tracking task. Results showed that action-implementation automation consistently enhanced efficiency (e.g., reduced correct response time to false alarms, lower workload) and trust regardless of concurrent task demands, while uniquely improving accuracy in distinguishing true and false alarms only under concurrent task demands. In contrast, decision-making automation increased situational awareness exclusively in the absence of concurrent task demands. These findings suggest that action-implementation automation should be prioritized in the presence of concurrent task demands, as it mitigates false alarm effects, evidenced by its improved accuracy in distinguishing true and false alarms. In contrast, decision-making automation may be favored in contexts without concurrent task demands, as it enhances situational awareness, though its direct impact on mitigating false alarms is limited.

报警监控系统可能不是完全可靠的，而且容易产生假警报，有误用自动化的风险。自动化误用的可能性和严重程度可能受到警报监视任务的自动化阶段和并发任务需求的影响，特别是当整个任务中存在多个不可预测的假警报时。因此，本研究调查了自动化阶段对有/没有并发任务需求的报警监视器性能和操作员感知的影响，旨在选择适当的自动化阶段来减轻假警报的影响。参与者在两个自动化阶段（决策和行动实施）下执行警报监视任务，有/没有并发的手动跟踪任务。结果表明，在不考虑并发任务需求的情况下，行动执行自动化始终如一地提高了效率（例如，减少了对假警报的正确响应时间，降低了工作量）和信任，而仅在并发任务需求下，才独特地提高了区分真假警报的准确性。相比之下，决策自动化仅在没有并发任务需求的情况下增加态势感知。这些研究结果表明，在存在并发任务需求的情况下，行动实施自动化应该被优先考虑，因为它可以减轻假警报效应，这一点可以通过它在区分真假警报方面的准确性得到证明。相比之下，决策自动化在没有并发任务需求的情况下可能更受青睐，因为它增强了态势感知，尽管它对减轻假警报的直接影响有限。

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引用次数: 0

Prediction of the thermal neutral temperature of working face in deep mine 深部矿井工作面热中性温度的预测

IF 3 2区工程技术 Q2 ENGINEERING, INDUSTRIAL

International Journal of Industrial Ergonomics

Pub Date : 2025-11-01 Epub Date: 2025-11-13 DOI: 10.1016/j.ergon.2025.103830

Guoshan Wu , Fei Liu , Mengyue Wang , Wenruikun Fu , Heqing Liu , Bo You

The thermal index of the atmosphere and building environment mainly evaluated deep underground mines' hot and humid working environments. However, their predicted thermal neutral temperature often differed from the actual situation. At present, there is no straightforward method to determine the thermal neutral temperature of mine working face. The exergy analysis method was combined with the Prediction Heat Strain model to establish a human exergy model. The model was used to calculate the exergy parameter of workers with humidity of 80 %–100 %, wind speed of 0.3–4.0 m/s, moderate/severe/extremely severe labour, and the corresponding relationship between the exergy parameter thresholds was analyzed. The rationality of using the minimum exergy consumption to determine the thermal neutral temperature was verified using the subjective thermal sensation voting (TSV) obtained from the simulated mine labour experiment. The results show that when the human body exergy transfer is the largest, the exergy efficiency is the largest, and the exergy consumption is the most minor (non-high temperature environment). The thermal neutral temperature of the working face is approximately equal to the ambient temperature corresponding to the maximum exergy transfer and minimum exergy consumption. When the wind speed is above 2.5 m/s, the thermal neutral temperature can be increased, which is conducive to reducing the energy consumption of refrigeration equipment. The human exergy model can predict the thermal neutral temperature of the working face, which provides a new idea for studying the thermal comfort of workers. It provides a meaningful reference for ventilation and cooling in coal mining faces.

大气热指标和建筑环境热指标主要评价深埋地下矿井的湿热工作环境。然而，他们预测的热中性温度往往与实际情况不同。目前，还没有一种简便易行的方法来确定矿井工作面的热中性温度。将火用分析方法与预测热应变模型相结合，建立了人体火用模型。利用该模型计算了湿度为80% ~ 100%、风速为0.3 ~ 4.0 m/s、中度/重度/极重度劳动的工人的火用参数，并分析了火用参数阈值之间的对应关系。通过模拟矿井劳动实验得出的主观热感觉投票（TSV），验证了用最小火用值确定热中性温度的合理性。结果表明，当人体火用传递量最大时，火用效率最大，而火用消耗最小（非高温环境）。工作面热中性温度近似等于最大火用传递和最小火用消耗所对应的环境温度。当风速在2.5 m/s以上时，可提高热中性温度，有利于降低制冷设备的能耗。人体火用模型可以预测工作面的热中性温度，为研究工作人员的热舒适提供了新的思路。为采煤工作面通风降温提供了有意义的参考。

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引用次数: 0

Beyond traditional methods: The impact of game-based learning on safety training 超越传统方法：基于游戏的学习对安全培训的影响

IF 3 2区工程技术 Q2 ENGINEERING, INDUSTRIAL

International Journal of Industrial Ergonomics

Pub Date : 2025-11-01 Epub Date: 2025-10-28 DOI: 10.1016/j.ergon.2025.103827

Sameeran G. Kanade , Jun He , Sogand Hasanzadeh , Brandon J. Pitts , Behzad Esmaeili , Mahmudur Rahman , Dharmendra K. Mishra , Vincent G. Duffy

This study evaluates the effectiveness of game-based learning in improving construction safety knowledge, focusing on the OSHA hazard identification training tool. Using a mixed-methods approach, 64 graduate students were divided into control and training groups, with half experiencing task interruptions during hazard identification tests. Participants completed pre- and post-intervention hazard identification tests, NASA-TLX questionnaires, and surveys while their visual attentional distribution was monitored using eye-tracking technology. Results showed that the training group significantly outperformed the control group in hazard identification, particularly for fall and struck-by hazards. The training group also reported lower mental demand, better performance perception, and less effort in post-intervention tests. Eye-tracking data revealed similar patterns in both groups, with decreased attention to fall hazards and increased attention to missing PPE and struck-by hazards post-intervention. However, the game-based approach was less effective in addressing missing PPE hazards. Task interruptions negatively impacted hazard identification in trained participants post-intervention, while control group performance remained unaffected. Interestingly, Qualtrics survey responses revealed a gap between the perceived and actual impact of interruptions, emphasizing the need for targeted training that raises awareness about these effects. The findings support game-based learning as a promising approach to improve safety training effectiveness, but underscore the importance of interruption management strategies in high-risk environments.

本研究以OSHA危害识别训练工具为研究对象，评估游戏式学习对提升建筑安全知识的效果。采用混合方法，64名研究生被分为对照组和训练组，其中一半在危险识别测试中经历任务中断。参与者完成了干预前和干预后的危害识别测试、NASA-TLX问卷和调查，同时使用眼动追踪技术监测他们的视觉注意力分布。结果表明，训练组在危险识别方面明显优于对照组，特别是在跌倒和撞击危险方面。在干预后的测试中，训练组还报告了更低的心理需求、更好的表现感知和更少的努力。眼动追踪数据在两组中显示出相似的模式，干预后对跌倒危险的关注减少，对缺少个人防护装备和撞击危险的关注增加。然而，基于游戏的方法在解决缺少PPE危害方面效果较差。任务中断在干预后对训练参与者的危险识别产生负面影响，而对照组的表现不受影响。有趣的是，Qualtrics的调查结果揭示了中断的感知和实际影响之间的差距，强调需要有针对性的培训来提高对这些影响的认识。研究结果支持基于游戏的学习作为一种有希望提高安全培训有效性的方法，但强调了在高风险环境中中断管理策略的重要性。

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引用次数: 0

Designing AI for team ideation: How content strategy and participation style affect creative performance through team emergent states 为团队创意设计AI：内容策略和参与风格如何通过团队突发状态影响创造性表现

IF 3 2区工程技术 Q2 ENGINEERING, INDUSTRIAL

International Journal of Industrial Ergonomics

Pub Date : 2025-11-01 Epub Date: 2025-10-18 DOI: 10.1016/j.ergon.2025.103824

Xi Xiao, Yue Chen, Can Liu

Generative AI is increasingly used in team ideation, but how its design features affect creative performance is unclear. Research on human teams suggests that such effects are mediated by team emergent states (TESs, the team's cognitive and emotional dynamics and feelings). Yet, whether TESs play a similar role in team-AI co-ideation remains unknown. This study explored the effects of AI content strategies (breadth-first vs. depth-first) and participation styles (active vs. passive) on TESs and performance during team-AI collaborative ideation by a mixed-design experiment with 52 students and in-depth interviews with seven professionals from industry. In the experiment, two participants and AI as a team brainstormed and developed design solutions. We found depth-first strategies fostered stronger convergence among ideas and members and further enhanced solution completeness, whereas breadth-first AI increased divergent performance and solution practicability. AI design influenced both cognitive and affective TESs, which predicted objective and subjective performance differentially. This study reveals how the design of generative AI affects human-AI collaborative ideation through the perspective of TES and suggests designing generative AI to adjust to TESs and the creative process.

生成式人工智能越来越多地用于团队创意，但其设计特征如何影响创意表现尚不清楚。对人类团队的研究表明，这种影响是由团队突发状态（TESs，团队的认知和情感动态和感受）介导的。然而，TESs是否在团队-人工智能协同思维中发挥类似作用仍不得而知。本研究通过对52名学生的混合设计实验和对7名行业专业人士的深度访谈，探讨了人工智能内容策略（广度优先vs深度优先）和参与方式（主动vs被动）对团队-人工智能协同思维过程中TESs和绩效的影响。在实验中，两名参与者和AI作为一个团队集思广益，制定了设计解决方案。我们发现深度优先策略促进了思想和成员之间更强的趋同，进一步提高了解决方案的完整性，而广度优先的AI增加了发散性能和解决方案的实用性。人工智能设计对认知TESs和情感TESs都有影响，对客观和主观表现的预测存在差异。本研究通过TES的视角揭示了生成式人工智能的设计如何影响人类-人工智能协同思维，并建议设计生成式人工智能以适应TESs和创造过程。

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引用次数: 0

Heat stress and heat-related illnesses among male and female refugee agricultural workers in Lebanon 黎巴嫩男女难民农业工人的热应激和与热有关的疾病

IF 3 2区工程技术 Q2 ENGINEERING, INDUSTRIAL

International Journal of Industrial Ergonomics

Pub Date : 2025-11-01 Epub Date: 2025-11-12 DOI: 10.1016/j.ergon.2025.103836

Rima R. Habib , Lina M. Fakih , Ghida Al Nakib , Lea Saad , Fida Awada , Mira F. Kanaan , Zeinab Awad , John C. Flunker , June T. Spector , Iman Nuwayhid

Heat stress among agricultural workers has intensified as a result of climate change, with women disproportionately affected due to physiological, social, and occupational factors. This study investigates heat-related illnesses (HRI), defined by the presence of heat-related symptoms, among male and female Syrian agricultural workers in greenhouse farms of Lebanon's farming communities.

A cross-sectional analysis was carried out among 90 agricultural workers (43 male pesticide sprayers and 47 female harvesters) in 32 farms. Data were collected in summer 2024 (August–September) from Syrian workers aged between 18 and 55 years old. Heat stress was assessed using environmental measures (Wet Bulb Globe Temperature [WBGT]) and physiological indicators included heart rate and estimated core body temperature; this was complemented by field observations during the observed work period. HRI and other occupational factors were assessed using structured questionnaires. Sociodemographic, occupational, and environmental factors were compared between male and female workers. Multivariable logistic regression was used to identify HRI risk factors.

Female workers were significantly more likely to report HRI compared to males (65.9 % vs 37.2 %, p = 0.006). We attribute this difference to biological and occupational factors, particularly in the local context. Higher odds of HRI were also observed with younger age, longer work hours, more strenuous workloads, extended restroom travel times, wearing multiple layers, and working in environments where WBGT inside greenhouses exceeded 26.6 °C. This study underscores the role of task allocation within agricultural work in predicting the risk of HRI. It particularly emphasizes the health implications of gendered labor segregation in agriculture.

由于气候变化，农业工人的热应激加剧，由于生理、社会和职业因素，妇女受到的影响尤为严重。本研究调查了黎巴嫩农业社区温室农场的叙利亚男性和女性农业工人的热相关疾病（HRI），由热相关症状的存在来定义。对32个农场的90名农业工人（43名男性农药喷洒员和47名女性收割机）进行了横断面分析。数据于2024年夏季（8月至9月）从18至55岁的叙利亚工人中收集。热应激评估采用环境指标（湿球温度[WBGT]）和生理指标包括心率和估计的核心体温；在观察到的工作期间，实地观察补充了这一点。HRI和其他职业因素采用结构化问卷进行评估。对男女职工的社会人口、职业和环境因素进行比较。采用多变量logistic回归确定HRI危险因素。与男性相比，女性员工更有可能报告HRI （65.9% vs 37.2%, p = 0.006）。我们将这种差异归因于生物和职业因素，特别是在当地情况下。年龄小、工作时间长、工作量大、上厕所时间长、穿多层衣服以及在温室内WBGT超过26.6°C的环境中工作，也会增加HRI的几率。本研究强调了农业工作中任务分配在预测人力资源感染风险中的作用。它特别强调农业中性别劳动隔离对健康的影响。

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引用次数: 0

Association of self-perceived work ability with worksite temperature as modified by relative humidity and air velocity: a cross-sectional study of poultry workers in Thailand 自我感知的工作能力与工作场所温度的关联，由相对湿度和空气速度修改：泰国家禽工人的横断面研究

IF 3 2区工程技术 Q2 ENGINEERING, INDUSTRIAL

International Journal of Industrial Ergonomics

Pub Date : 2025-11-01 Epub Date: 2025-11-18 DOI: 10.1016/j.ergon.2025.103844

Wisanti Laohaudomchok , Wantanee Phanprasit , Pajaree Konthonbut , Vorakamol Boonyayothin , Sirkka Rissanen , Kirsi Jussila , Tiina M. Ikäheimo , Jouni J.K. Jaakkola , Simo Näyhä

The combined association of self-perceived work ability with ambient temperature, relative humidity, and air velocity in the poultry industry has not been described. We asked 286 poultry workers in Thailand regarding their perceived work ability and regressed the data on worksite temperature, relative humidity, air velocity, interactions, workers’ characteristics, and work-related factors. The mean age of the workers was 32.7 years (range, 18–57 years), and 166 (58 %) were men. The average worksite temperature, relative humidity, and air velocity were 3.7 °C (range, −21.6–23.0 °C), 46.6 % (range, 27.0–72.0), and 0.44 m/s (range, 0.01–3.00 m/s), respectively. The mean work ability score was 8.29 (range, 4–10), and 68 participants (23.8 %) reported poor work ability (≤7). At cold and humid sites (temperature <2.0 °C; relative humidity >50 %), the prevalence of poor work ability increased with falling temperature (23.0 °C to −21.6 °C), by up to 94.2 % percentage points at the highest air velocity and highest relative humidity. At warmer and drier sites (temperature ≥2.0 °C; relative humidity <35 %), the prevalence of poor work ability increased from cold to warm sites (−21.6 °C–23.0 °C), by up to 70.5 % percentage points at sites with the lowest relative humidity and lowest air velocity. Workers at cold and humid sites (19.6 %) and those at warm and dry sites (17.8 %) suffer from poor work ability and need preventive actions. These groups require advice to minimise work hazards for various combinations of temperature, humidity, and air velocity.

在家禽业中，自我感知的工作能力与环境温度、相对湿度和空气速度的联合关联尚未被描述。我们询问了泰国286名家禽工人的感知工作能力，并对工作场所温度、相对湿度、风速、相互作用、工人特征和工作相关因素的数据进行了回归。平均年龄32.7岁（18 ~ 57岁），男性166人（58%）。现场平均温度为3.7℃（−21.6℃~ 23.0℃），平均相对湿度为46.6%（27.0 ~ 72.0℃），平均风速为0.44 m/s （0.01 ~ 3.00 m/s）。平均工作能力得分为8.29分（范围4-10分），68名（23.8%）工作能力差（≤7分）。在寒冷和潮湿的场所（温度2.0°C，相对湿度50%），工作能力差的患病率随着温度的下降（23.0°C至- 21.6°C）而增加，在最高风速和最高相对湿度下，工作能力差的患病率最高可达94.2%。在较温暖和较干燥的地点（温度≥2.0°C，相对湿度<； 35%），工作能力差的患病率从寒冷到温暖的地点（- 21.6°C - 23.0°C）增加，在最低相对湿度和最低风速的地点增加了70.5%个百分点。寒冷潮湿工作场所的工人（19.6%）和温暖干燥工作场所的工人（17.8%）工作能力差，需要采取预防措施。这些群体需要建议，以尽量减少各种温度，湿度和空气速度组合的工作危害。

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引用次数: 0

The effects of sitting postures on seat vibrotactile interaction system for enhancing occupants’ situation awareness in high-level automated driving 高水平自动驾驶中坐姿对座椅振动触觉交互系统的影响

IF 3 2区工程技术 Q2 ENGINEERING, INDUSTRIAL

International Journal of Industrial Ergonomics

Pub Date : 2025-11-01 Epub Date: 2025-10-28 DOI: 10.1016/j.ergon.2025.103832

Chuanliang Shen, Xiaoyuan Ma, Longxu Zhang, Xiao Xiao, Yi Li, Hongyu Hu, Zhenhai Gao

This study investigated the effects of sitting postures on the enhancement of occupants’ situation awareness through seat vibrotactile interaction system in high-level automated driving scenarios during a non-driving related task. Furthermore, addressing the limitation of fixed, non-adaptive vibrotactile signal generation in existing studies, an occupant body pressure monitoring-based seat vibrotactile interaction system (OBPM-SVIS) was developed, and it was compared with the original system lacking the pressure monitoring function. The Wizard of Oz experimental approach was employed to simulate automated driving scenarios in real-road. Eighteen participants received signals indicating vehicle upcoming behaviors, including left turn, right turn, acceleration, and deceleration. The participants adopted five sitting postures, which were upright, left-leaning, right-leaning, backward-leaning, and forward-leaning. These signals were presented in both static and dynamic patterns. Effects were comprehensively evaluated based on correct response rate, reaction time, situation awareness rating technique (SART) score, rating scale mental effort (RSME) score, and user experience questionnaire (UEQ) score. Results indicated that non-upright sitting postures adversely affected the transmission of vibrotactile signals and increased the difficulty of signal recognition. Static pattern demonstrated less robustness to changes in sitting posture compared to dynamic pattern. The OBPM-SVIS effectively mitigated the adverse effects of sitting posture changes. This study provides a reference for optimizing vibrotactile interaction systems that convey information about the vehicle’s upcoming behaviors or takeover requests to occupants in high-level automated driving.

本研究通过座椅振动触觉交互系统研究了在高水平自动驾驶场景下，非驾驶相关任务中，坐姿对乘员态势感知增强的影响。针对现有研究中固定、非自适应振动触觉信号产生的局限性，研制了基于乘员身体压力监测的座椅振动触觉交互系统（OBPM-SVIS），并与不具备压力监测功能的座椅振动触觉交互系统进行了对比。采用绿野仙踪的实验方法模拟真实道路上的自动驾驶场景。18名参与者收到了指示车辆即将到来的行为的信号，包括左转、右转、加速和减速。参与者采用了五种坐姿，分别是直立、左倾、右倾、后倾和前倾。这些信号以静态和动态两种模式呈现。根据正确反应率、反应时间、态势感知评定技术（SART）评分、评定量表心理努力（RSME）评分和用户体验问卷（UEQ）评分对效果进行综合评价。结果表明，非直立坐姿对振动触觉信号的传递产生不利影响，增加了信号识别的难度。与动态模式相比，静态模式对坐姿变化的稳健性较差。OBPM-SVIS有效地减轻了坐姿改变的不利影响。该研究为优化振动触觉交互系统提供了参考，该系统可在高水平自动驾驶中向乘员传递车辆即将发生的行为或接管请求的信息。

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引用次数: 0

Adaptive learning with human factors and Artificial Intelligence: associations with training effectiveness in programming education 具有人为因素和人工智能的自适应学习：与编程教育培训有效性的关联

IF 3 2区工程技术 Q2 ENGINEERING, INDUSTRIAL

International Journal of Industrial Ergonomics

Pub Date : 2025-11-01 Epub Date: 2025-11-15 DOI: 10.1016/j.ergon.2025.103834

Kuo-Yi Lin , Meng-Hua Li , Fang-ying Lo , Hsiao-Chun Huang , Kotomichi Matsuno , Ruriko Watanabe

This study develops and validates a human-centered adaptive learning system that integrates Human Factors Engineering (HFE) and Artificial Intelligence (AI) to support programming education. The system adjusts learning strategies based on learners' behavioral indicators and self-reported psychological states, including motivation, interest, and confidence. Grounded in adaptive learning theory, the study proposes and tests hypotheses regarding the associations and interaction effects of these factors on learning effectiveness. A single-group pre/post empirical design with 100 participants was employed, incorporating exploratory factor analysis, regression modeling, and user satisfaction surveys. Results indicate that both motivation and interest are significantly associated with improved learning outcomes, and their interaction demonstrates a synergistic effect. The system's modular architecture—comprising behavioral data collection, learner modeling, strategy generation, and feedback—was positively evaluated for usability and engagement. While the findings confirm theoretical associations within the adaptive environment, causal claims and comparative effectiveness against non-adaptive systems require future controlled studies. By combining ergonomic interface design with AI-driven adaptivity, this research contributes to educational ergonomics and adaptive learning literature, offering a replicable framework and practical insights for designing intelligent, user-aligned instructional systems.

本研究开发并验证了一个以人为中心的自适应学习系统，该系统集成了人因工程（HFE）和人工智能（AI），以支持编程教育。该系统根据学习者的行为指标和自我报告的心理状态（包括动机、兴趣和信心）调整学习策略。本研究以适应性学习理论为基础，提出并检验了这些因素对学习效果的关联和相互作用的假设。采用100人的单组前/后实证设计，结合探索性因素分析、回归模型和用户满意度调查。结果表明，动机和兴趣都与学习成绩的提高有显著的关系，它们的相互作用显示出协同效应。该系统的模块化架构——包括行为数据收集、学习者建模、策略生成和反馈——在可用性和参与度方面得到了积极的评价。虽然研究结果证实了适应性环境中的理论联系，但因果关系的主张和与非适应性系统的比较有效性需要未来的对照研究。通过将人机工程学界面设计与人工智能驱动的适应性相结合，本研究为教育人机工程学和适应性学习文献做出了贡献，为设计智能、用户导向的教学系统提供了可复制的框架和实用见解。

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引用次数: 0