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Interaction performance of mid-air touch with and without cursor in augmented reality environment 增强现实环境中有无光标的空中触摸交互性能
IF 3 2区 工程技术 Q2 ENGINEERING, INDUSTRIAL Pub Date : 2026-03-01 Epub Date: 2026-01-15 DOI: 10.1016/j.ergon.2026.103894
Chiuhsiang Joe Lin, Benedikta Anna Haulian Siboro, Wen-Ting Tsai
Mid-air touch interaction has become increasingly important in augmented reality (AR), enabling users to interact with virtual menus naturally and without physical contact. However, studies examining how menu depth, interaction methods, and task difficulty influence user performance in augmented reality remain limited, particularly within peripersonal space. This study compared the interaction performance of mid-air touch in AR. The experiment was conducted using two depth levels (46 cm and 42 cm), two interaction methods (without and with a cursor), and three levels of task difficulty (easy, medium, and hard). Task difficulty was defined by varying the button diameter and the button spacing. The results revealed that movement time across all depth levels was not significantly different for simple tasks. However, as task difficulty increased, both movement time and error rates rose substantially at a depth of 42 cm, particularly without a cursor. Under these conditions, the presence of the cursor significantly improved accuracy, as participants' focus shifted from their hand to the virtual cursor and menu, thereby reducing visual ambiguity. These findings suggest that a depth of 46 cm supports reliable mid-air interaction, while the integration of visual guidance, such as a cursor, is crucial for maintaining accuracy when menus are positioned closer to the user. This insight is important for AR developers, highlighting the need for optimized spatial configurations and visual cues to enhance interaction performance.
空中触摸交互在增强现实(AR)中变得越来越重要,使用户能够自然地与虚拟菜单交互,而无需物理接触。然而,关于菜单深度、交互方法和任务难度如何影响用户在增强现实中的表现的研究仍然有限,特别是在个人空间中。本研究比较了AR中空中触摸的交互性能。实验采用了两个深度水平(46 cm和42 cm)、两种交互方式(无光标和有光标)和三个任务难度水平(简单、中等和困难)进行。任务难度通过改变按钮直径和按钮间距来定义。结果显示,对于简单任务,在所有深度水平上的移动时间没有显著差异。然而,随着任务难度的增加,移动时间和错误率在42厘米深度显著增加,特别是在没有光标的情况下。在这些条件下,光标的存在显著提高了准确性,因为参与者的注意力从他们的手转移到虚拟光标和菜单上,从而减少了视觉模糊性。这些发现表明,46厘米的深度支持可靠的空中交互,而视觉引导的集成,如光标,对于保持菜单靠近用户时的准确性至关重要。这种见解对AR开发人员来说很重要,强调了优化空间配置和视觉提示以增强交互性能的必要性。
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引用次数: 0
Virtual-to-physical load transformation: Misplacement rate, perceived difficulty, and movement time of manipulating a virtual and three real bars of varying masses 虚拟到物理负载转换:操作一个不同质量的虚拟杆和三个真实杆的错位率、感知难度和移动时间
IF 3 2区 工程技术 Q2 ENGINEERING, INDUSTRIAL Pub Date : 2026-03-01 Epub Date: 2026-01-06 DOI: 10.1016/j.ergon.2025.103870
Yu-Hui Ho , Kai Way Li , Cheng-Chang Lien , Lu Peng
Handling virtual objects is a fundamental component of interacting with augmented reality (AR) systems. However, user experiences with virtual objects often differ notably from those with physical ones. This study investigates the effects of object type on task performance and perceived difficulty by comparing the handling of one virtual and three real bars of varying masses. A total of 30 adult participants (15 males and 15 females) were recruited to complete a bar-transfer task, in which they picked up either a virtual or real bar from a starting location and placed it onto a target area. For the virtual condition, participants wore an AR headset that visually rendered the virtual bar within their field of view. Three dependent variables were measured: misplacement rate, movement time (MT), and perceived difficulty (PD). Results showed that bar type had a significant effect on both MT and misplacement rate. Regression analysis further revealed that while both mass and the reality/virtuality of the bar influenced MT, the latter had a more pronounced impact. PD ratings indicated that handling the virtual bar was perceived as more difficult than handling the hardwood or polystyrene bars, but less difficult than handling the cement bar. These findings enhance our understanding of perceived difficulty and movement characteristics in virtual object manipulation, and they can inform the design of more intuitive and user-friendly AR interaction systems, particularly from the perspective of virtual-to-physical load transformation.
处理虚拟对象是与增强现实(AR)系统交互的基本组成部分。然而,使用虚拟对象的用户体验往往与使用实体对象的用户体验大不相同。本研究通过比较一个不同质量的虚拟棒和三个不同质量的真实棒的处理,探讨了对象类型对任务表现和感知难度的影响。总共有30名成年参与者(15名男性和15名女性)被招募来完成一个酒吧转移任务,在这个任务中,他们从一个起始位置拿起一个虚拟的或真实的酒吧,并把它放在目标区域。在虚拟条件下,参与者戴上AR耳机,在他们的视野范围内视觉呈现虚拟酒吧。测量了三个因变量:错位率,运动时间(MT)和感知困难(PD)。结果表明,棒材类型对MT和错位率均有显著影响。回归分析进一步显示,虽然质量和酒吧的真实感/虚拟性都影响MT,但后者的影响更为明显。PD评级表明,处理虚拟酒吧被认为比处理硬木或聚苯乙烯酒吧更难,但比处理水泥酒吧难。这些发现增强了我们对虚拟物体操作的感知难度和运动特征的理解,它们可以为更直观和用户友好的AR交互系统的设计提供信息,特别是从虚拟到物理负载转换的角度。
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引用次数: 0
Exploring the impact of haptic feedback locations and mid-air haptic technology on driver's takeover performance and user experience in automated vehicles 探讨触觉反馈位置和空中触觉技术对自动驾驶汽车驾驶员接管性能和用户体验的影响
IF 3 2区 工程技术 Q2 ENGINEERING, INDUSTRIAL Pub Date : 2026-03-01 Epub Date: 2026-01-07 DOI: 10.1016/j.ergon.2026.103878
Ruiheng Lan , Xu Sun , Qingfeng Wang , Bingjian Liu
As automated vehicles (AVs) increasingly allow drivers to engage in non-driving-related tasks (NDRTs), effective takeover request (TOR) systems become critical for safety. This study evaluates how four haptic feedback configurations—two technologies (vibrotactile vs. ultrasonic mid-air haptics, UMH) delivered to two locations (hand vs. face)—shape driver takeover performance and user experience in Level 3 driving. In a simulator study with 32 participants, vibrotactile cues consistently produced faster reaction and takeover times than UMH, demonstrating clear advantages for time-critical TORs. Feedback location predominantly influenced subjective experience: hand-based cues were rated as more pleasant, whereas face-based cues offered high perceptual salience but lower comfort. Despite slower responses, UMH was valued for its contactless convenience, though concerns about tracking reliability limited trust. These findings show that haptic configuration—not just modality—critically determines TOR effectiveness, and they provide actionable guidance for designing safer, more intuitive, and user-centered AV HMIs. The results also highlight key technical barriers for UMH that must be addressed to support broader adoption in future AVs.
随着自动驾驶汽车(av)越来越多地允许驾驶员从事与驾驶无关的任务(NDRTs),有效的接管请求(TOR)系统对安全至关重要。本研究评估了四种触觉反馈配置——两种技术(振动触觉和超声波空中触觉,UMH)如何传递到两个位置(手和脸)——形状驾驶员接管性能和3级驾驶的用户体验。在一项有32名参与者的模拟器研究中,振动触觉提示始终比UMH产生更快的反应和接管时间,这表明了时间关键型tor的明显优势。反馈位置主要影响主观体验:基于手的线索被认为更令人愉快,而基于脸的线索提供了较高的感知显著性,但舒适度较低。尽管反应较慢,但UMH因其非接触式便利而受到重视,尽管对跟踪可靠性的担忧限制了信任。这些发现表明,触觉配置——而不仅仅是模式——关键地决定了TOR的有效性,它们为设计更安全、更直观、更以用户为中心的AV hmi提供了可操作的指导。研究结果还强调了UMH必须解决的关键技术障碍,以支持未来自动驾驶汽车的广泛采用。
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引用次数: 0
How to provide information sources and comments in conversational agent response content: The roles of specialists and internet users 如何在会话代理响应内容中提供信息源和评论:专家和互联网用户的角色
IF 3 2区 工程技术 Q2 ENGINEERING, INDUSTRIAL Pub Date : 2026-03-01 Epub Date: 2026-01-20 DOI: 10.1016/j.ergon.2026.103890
Yaping Zhang , Ronggang Zhou , Qianli Ma , Yue Liu , Jianhong Qu
Conversational agents (CAs) have been widely applied, and user experience with CAs is receiving increasing attention. However, few studies have focused on the contribution of the design of CA responses to the user experience. We conducted two studies examining participants' user experience with CAs' response content design on information sources (Study 1) and comment information (Study 2). The influence of specialists and internet users was investigated, and the factor of the application scenario was also examined. A mixed-method approach, including user experience (UX) scoring and paired comparison tasks, was adopted, and twenty-one people participated in the formal study. The results showed that information sources and comments from specialists can be added to the response content of CAs to improve the user experience. Participants liked the CAs' responses with comments from internet users rather than the responses with no comments. Application scenarios could affect the user experience with CAs’ response content designs. Participants preferred the responses with contextual information from specialists in professional application scenarios (e.g., news query and health query scenarios), whereas they liked the responses with contextual information from internet users in entertaining application scenarios (e.g., music query, travel query, and restaurant query scenarios). Compared with comment information design, information source design may provide a better user experience. This study proposes guidelines for the future generation of CAs and helps voice interaction designers to create CAs that meet the needs of users.
会话代理(ca)得到了广泛的应用,用户体验越来越受到人们的关注。然而,很少有研究关注CA响应设计对用户体验的贡献。我们进行了两项研究,通过ca对信息源(研究1)和评论信息(研究2)的响应内容设计来检验参与者的用户体验。调查了专家和互联网用户的影响,并考察了应用场景的影响因素。采用混合方法,包括用户体验(UX)评分和配对比较任务,共有21人参加了正式研究。结果表明,可以在ca的响应内容中加入信息源和专家评论,以改善用户体验。参与者喜欢核证机关有网友评论的回应,而不是没有评论的回应。应用程序场景可能会影响ca响应内容设计的用户体验。在专业应用场景(如新闻查询和健康查询场景)中,被试更喜欢带有情境信息的专家回答,而在娱乐应用场景(如音乐查询、旅游查询和餐饮查询场景)中,被试更喜欢带有情境信息的互联网用户回答。与评论信息设计相比,信息源设计可以提供更好的用户体验。本研究为未来一代的ca提出了指导方针,并帮助语音交互设计师创建满足用户需求的ca。
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引用次数: 0
Incorporating different phases of situation awareness information into the design of advanced takeover requests for urgent takeover scenarios 将不同阶段的态势感知信息整合到紧急接管场景的高级接管请求设计中
IF 3 2区 工程技术 Q2 ENGINEERING, INDUSTRIAL Pub Date : 2026-03-01 Epub Date: 2026-02-02 DOI: 10.1016/j.ergon.2026.103891
Hsueh-Yi Lai, Jyun-Hao Peng, Yong-Jhih Chen
Advanced automated driving systems allow drivers to engage temporarily in non-driving-related tasks (NDRTs), such as sending messages or playing games. However, drivers still play a critical role in manually taking over the vehicle when the systems fail, necessitating prompt situation awareness development (SA). To accelerate SA development under strict time constraints, this study incorporated the concept of monitoring requests (MRs) into an advanced takeover request (TOR) design, offering three distinct SA-focused phases: Level 1 redirects attention to potential dangers; Level 2 facilitates the interpretation of cues, such as changes in relative velocity and remaining distance; and Level 3 projects future events, such as the time to collision (TTC). Moreover, two common takeover scenarios were considered to obtain insightful guidelines for creating tailored TOR designs. This study used a driving simulator and the Wizard of Oz method to simulate autonomous driving, collecting data on takeover reactions, vehicle movements, and subjective questionnaires from 32 participants. The statistical analyses indicated that TOR design highlights advanced levels of SA, particularly Level 3 SA, for future projection, which benefits overall SA quality and increases minimum TTC, enhancing safety margins during urgent takeovers. Furthermore, these improvements in the takeover were accompanied by increased changes in posttakeover vehicle control. These patterns suggest more active post-takeover control rather than a hasty response. Lastly, an advanced TOR can be tailored to specific takeover scenarios, with dynamic scenarios benefiting from Level 3 TOR design and static scenarios benefiting from Level 2 TOR design.
先进的自动驾驶系统允许驾驶员暂时从事与驾驶无关的任务(NDRTs),例如发送信息或玩游戏。然而,当系统出现故障时,驾驶员仍然在手动接管车辆方面发挥着关键作用,因此需要及时开发态势感知(SA)。为了在严格的时间限制下加速SA的开发,本研究将监控请求(MRs)的概念纳入了高级接管请求(TOR)设计中,提供了三个不同的以SA为重点的阶段:1级重定向对潜在危险的关注;第2级有助于解释线索,如相对速度和剩余距离的变化;第3级预测未来事件,如碰撞时间(TTC)。此外,考虑了两种常见的接管场景,以获得创建定制TOR设计的有见地的指导方针。本研究使用驾驶模拟器和绿野仙踪的方法来模拟自动驾驶,收集了32名参与者的接管反应、车辆运动和主观问卷的数据。统计分析表明,对于未来的预测,TOR设计突出了高级SA水平,特别是3级SA,这有利于整体SA质量,提高了最低TTC,提高了紧急收购期间的安全边际。此外,收购的这些改进伴随着收购后车辆控制的增加变化。这些模式表明,收购后的控制更为积极,而不是草率的回应。最后,先进的TOR可以针对特定的接管场景进行定制,动态场景受益于3级TOR设计,静态场景受益于2级TOR设计。
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引用次数: 0
The effects of in-vehicle fragrance environment on psychological and physiological recovery from driving fatigue 车内芳香环境对疲劳驾驶后心理和生理恢复的影响
IF 3 2区 工程技术 Q2 ENGINEERING, INDUSTRIAL Pub Date : 2026-03-01 Epub Date: 2026-01-28 DOI: 10.1016/j.ergon.2026.103898
Zeping Chen , Qiang Liu , Jinglong Zhu , Guoliang Zhao , Jie Fu , Bo Li , Qing Li
In the field of automotive human factors, the role of cockpit environment in mitigating driving fatigue remains an underexplored issue. This study aims to elucidate the intervention efficacy of in-vehicle fragrance environment on driving fatigue, thereby enriching the theoretical framework of fragrance in vehicle human factors engineering. The experiment was divided into a control group (air) and a fragrance group. Employing a randomized controlled cross-over design, 30 healthy drivers completed two 60-min simulated driving experiments, receiving either air or peppermint fragrance in random order during the last 30 min. Inter-group comparative analysis of subjective fatigue (Karolinska Sleepiness Scale, KSS) and physiological signals (heart rate variability, HRV; respiratory rate, RESP; skin conductance level, SCL) was conducted. The results showed that the KSS scores had a significant “group × driving time” interaction effect, but no significant group effect. Compared to the 28th minute in the experiment (before the release of the odor), the control group exhibited 16.44 % significant KSS increase, whereas the fragrance group showed only 3.93 % non-significant progression. Both the HRV and the Mean SCL have a significant “driving time” effect. Only Mean RESP shows a significant group effect and a “group × driving time” interaction effect. Compared to the control group, the fragrance group exhibited statistically significant alterations in physiological parameters, including the normalized low-frequency power decreased from 7.94 % to 1.54 %, Mean SCL decreased from 22.17 % to 13.86 %, and Mean RESP transitioned from −9.91 % to 1.78 %, which suggested that fragrance not only suppressed baroreflex enhancement and attenuated sympathetic nervous activation but also stabilized respiratory rhythm. These findings reveal that the in-vehicle fragrance environment could exert significant effects on both psychological and physiological recovery from driving fatigue; however, fragrance intervention strategies require further refinement, emphasizing the need for systematic evaluation of fragrance intervention using multiple physiological biomarkers in future ergonomic applications.
在汽车人因研究领域,驾驶舱内环境对减轻驾驶疲劳的作用一直是一个未被充分探讨的问题。本研究旨在阐明车内香气环境对驾驶疲劳的干预作用,从而丰富香气在汽车人因工程中的理论框架。实验分为对照组(空气组)和香精组。采用随机对照交叉设计,30名健康驾驶员在最后30分钟内随机接受空气或薄荷香味,完成两次60分钟的模拟驾驶实验。组间比较分析主观疲劳(Karolinska Sleepiness Scale, KSS)和生理信号(心率变异性,HRV;呼吸频率,RESP;皮肤电导水平,SCL)。结果表明,KSS得分存在显著的“组×驾驶时间”交互效应,但不存在显著的组效应。与实验第28分钟(气味释放前)相比,对照组的KSS有16.44%的显著增长,而香味组的KSS无显著增长,仅为3.93%。HRV和平均SCL均具有显著的“驾驶时间”效应。只有Mean RESP表现出显著的群体效应和“群体×驾驶时间”的交互效应。与对照组相比,香精组的生理参数发生了显著变化,包括归一化低频功率从7.94%下降到1.54%,平均SCL从22.17%下降到13.86%,平均RESP从- 9.91%转变到1.78%,这表明香精不仅抑制了气压反射增强,减弱了交感神经的激活,而且稳定了呼吸节律。综上所述,车内香气环境对驾驶疲劳后的心理和生理恢复均有显著的促进作用;然而,香味干预策略需要进一步完善,强调在未来的人体工程学应用中需要使用多种生理生物标志物对香味干预进行系统评估。
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引用次数: 0
At a mean load level typical for industrial manual work, muscular strain of the triceps brachii muscle highly depends on the load change ratio - preliminary results of an exploratory study 在工业体力劳动的平均负荷水平下,肱三头肌的肌肉劳损高度依赖于负荷变化率-一项探索性研究的初步结果
IF 3 2区 工程技术 Q2 ENGINEERING, INDUSTRIAL Pub Date : 2026-03-01 Epub Date: 2026-01-08 DOI: 10.1016/j.ergon.2025.103853
Florestan Wagenblast, Robert Seibt, David Süß, Tessy Luger, Monika A. Rieger, Benjamin Steinhilber
Promoting mechanical exposure variation through muscular load changes is suggested for preventing musculoskeletal disorders related to industrial manual work. Knowledge about the influence of different muscular load change ratios (LCRs) on muscular strain is still incomplete, especially at load levels realistic in industrial manual work. This exploratory study examines differences in muscular strain responses to five different LCRs.
All measures showed that the lower the LCR, the higher the muscular strain response. This association appears to be non-linear with similar strain responses for higher LCRs.
The study indicates two central aspects. First, LCR level is crucial for a sufficient reduction in muscular strain. Second, the effectiveness of muscular load changes on muscular strain appears to level off above a certain limit. Further research needs to verify these findings using greater and more diverse populations and should determine a physiologically relevant strain reduction induced by mechanical exposure variation.
建议通过肌肉负荷变化促进机械暴露变化,以预防与工业体力劳动相关的肌肉骨骼疾病。关于不同肌肉负荷变化比(lcr)对肌肉应变的影响的知识仍然不完整,特别是在工业体力劳动的实际负荷水平下。本探索性研究考察了五种不同lcr对肌肉应变反应的差异。所有测量结果表明,LCR越低,肌肉应变反应越高。这种关联似乎是非线性的,对于更高的lcr具有类似的应变响应。这项研究指出了两个中心方面。首先,LCR水平对于充分减少肌肉劳损至关重要。其次,肌肉负荷变化对肌肉劳损的影响在一定限度以上趋于平稳。进一步的研究需要使用更多和更多样化的种群来验证这些发现,并应确定机械暴露变化引起的生理相关应变减少。
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引用次数: 0
Laboratory and field evaluation of user-perceived effort, comfort, and acceptance of passive back-support exoskeletons for masons 泥瓦匠用被动背支撑外骨骼的用户感知努力、舒适度和接受度的实验室和现场评价
IF 3 2区 工程技术 Q2 ENGINEERING, INDUSTRIAL Pub Date : 2026-03-01 Epub Date: 2026-01-13 DOI: 10.1016/j.ergon.2026.103881
Mohamad Iyad Al-Khiami , Søren Munch Lindhard , Ahmad Said Saad
Work-related musculoskeletal disorders affect over 30 % of construction workers globally, with back injuries particularly prevalent among masons who handle approximately 10,000 kg of masonry units daily. These injuries represent a critical occupational safety challenge, with masonry workers experiencing overexertion rates 33.4 per 10,000 FTEs compared to 21.5 across all industries. While back-support exoskeletons (BSEs) show promise as injury prevention interventions, most safety evaluations occur in laboratories, raising questions about real-world protective effectiveness. This study compared BSE performance between laboratory and field settings to assess ecological validity for occupational safety applications. A multiple case study examined two passive BSEs: HAPO (rigid, spring-based) and BISKO (soft, elastic-based), testing 23 laboratory and 15 field masons performing masonry tasks using psychophysical assessments. HAPO demonstrated superior laboratory performance (median overall score: 1.5) but significant field deterioration (median: 3.0, p < 0.001), with physical effort ratings increasing 200 % (median: 1.0 to 3.0) and movement restriction ratings doubling (median: 1.0 to 3.0). BISKO maintained stable performance across settings (median overall scores: laboratory 2.25, field 1.875, p = 0.217). Worker willingness to continue using HAPO declined sharply from laboratory (median: 1.0) to field (median: 4.0), suggesting potential non-adoption and continued injury risk. Laboratory testing inadequately predicts field safety performance. These findings necessitate field-validated protocols for exoskeleton safety assessment and highlight design importance for sustained injury prevention. Successful implementation requires prioritizing extended-wear comfort and movement flexibility over maximum support to ensure worker acceptance and sustained protective benefit.
与工作相关的肌肉骨骼疾病影响着全球30%以上的建筑工人,背部受伤在每天处理约10,000公斤砌体的泥瓦匠中尤为普遍。这些伤害是一个重要的职业安全挑战,砌筑工人的过度劳累率为33.4 / 10000,而所有行业的这一比例为21.5 / 10000。虽然背托式外骨骼(bse)有望成为预防伤害的干预措施,但大多数安全性评估都是在实验室进行的,这引发了对实际保护效果的质疑。本研究比较了实验室和现场设置之间的疯牛病表现,以评估职业安全应用的生态有效性。一个多案例研究测试了两种被动的bse: HAPO(刚性,基于弹簧)和BISKO(软,基于弹性),测试了23个实验室和15个现场泥瓦匠使用心理物理评估执行砌体任务。HAPO表现出卓越的实验室表现(总分中位数:1.5),但现场表现明显恶化(中位数:3.0,p < 0.001),体力劳动评分增加200%(中位数:1.0至3.0),运动限制评分翻倍(中位数:1.0至3.0)。BISKO在所有设置中保持稳定的表现(总得分中位数:实验室2.25,现场1.875,p = 0.217)。工人继续使用HAPO的意愿从实验室(中位数:1.0)急剧下降到现场(中位数:4.0),这表明潜在的不采用和持续的伤害风险。实验室测试不能充分预测现场安全性能。这些发现需要外骨骼安全评估的现场验证方案,并强调设计对持续伤害预防的重要性。成功的实施需要优先考虑延长磨损的舒适性和运动的灵活性,而不是最大限度的支持,以确保工人的接受和持续的保护效益。
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引用次数: 0
Prediction of musculoskeletal discomfort through integration of item response theory and machine learning 结合项目反应理论和机器学习预测肌肉骨骼不适
IF 3 2区 工程技术 Q2 ENGINEERING, INDUSTRIAL Pub Date : 2026-03-01 Epub Date: 2026-02-03 DOI: 10.1016/j.ergon.2026.103899
Jonhatan Magno Norte da Silva , Ayume Oliveira Santos , Jesus Ferreira Gomes Tavares , Elamara Marama de Araujo Vieira , Wilza Karla dos Santos Leite , Lucas Gomes Miranda Bispo , Vitor William Batista Martins
This study examined the feasibility of integrating Item Response Theory (IRT) and Machine Learning (ML) algorithms to predict musculoskeletal discomfort levels among workers across various sectors. IRT provided a psychometrically robust, continuous measure of discomfort from self-reported symptoms, while ML enabled automated and scalable classification. This combined approach overcomes limitations of traditional sum-score methods and static analyses, offering a novel pathway for dynamic ergonomic assessment. Symptom data from 300 workers across 25 body regions were analyzed using the IRT graded-response model to estimate latent trait scores. Based on these scores, discomfort levels were defined and used as response variables in supervised ML models. The tested algorithms included logistic regression, Support Vector Machine (SVM), K-nearest neighbors (KNN), decision trees, Random Forest, and eXtreme Gradient Boosting (XGBoost), evaluated using stratified cross-validation. To improve class balance, the Synthetic Minority Over-sampling Technique Nominal Continuous (SMOTE-NC) algorithm was applied. Performance evaluation employed precision, accuracy, recall, and F-score, with the SVM and KNN models producing the best results. Analysis using Shapley Additive exPlanations (SHAP) identified symptoms in the forearm, hip, and feet as the main predictors of higher discomfort levels. The proposal is innovative in combining the psychometric sensitivity of IRT with the predictive capacity of ML algorithms, paving the way for future digital solutions for real-time ergonomic screening and monitoring. This work helps fill a gap in the literature by proposing a replicable and accurate approach for automated assessment of occupational musculoskeletal discomfort, with potential for scalability in future applications.
本研究考察了整合项目反应理论(IRT)和机器学习(ML)算法来预测不同行业工人肌肉骨骼不适程度的可行性。IRT提供了一种心理测量学上稳健的、持续的自我报告症状不适测量方法,而ML则实现了自动化和可扩展的分类。该方法克服了传统的和计分法和静态分析方法的局限性,为动态人体工程学评估提供了新的途径。使用IRT分级反应模型对来自25个身体区域的300名工人的症状数据进行分析,以估计潜在特质得分。基于这些分数,定义不适水平并将其用作监督ML模型中的响应变量。测试的算法包括逻辑回归、支持向量机(SVM)、k近邻(KNN)、决策树、随机森林和极端梯度增强(XGBoost),并使用分层交叉验证进行评估。为了提高类平衡,采用了合成少数派过采样技术标称连续(SMOTE-NC)算法。性能评估采用精密度、准确度、召回率和f分数,其中SVM和KNN模型效果最好。使用Shapley加性解释(SHAP)进行分析,确定前臂、髋关节和足部的症状是较高不适程度的主要预测因素。该提案在将IRT的心理测量灵敏度与ML算法的预测能力相结合方面具有创新性,为未来实时人体工程学筛查和监测的数字解决方案铺平了道路。这项工作通过提出一种可复制和准确的方法来自动评估职业性肌肉骨骼不适,有助于填补文献中的空白,在未来的应用中具有可扩展性的潜力。
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引用次数: 0
Optimal HUD illuminance perception modeling under ambient light and weather variations 环境光和天气变化下的最优HUD照度感知建模
IF 3 2区 工程技术 Q2 ENGINEERING, INDUSTRIAL Pub Date : 2026-03-01 Epub Date: 2026-01-09 DOI: 10.1016/j.ergon.2026.103880
Wenyu Wu, Yingfeng Hu, Guangyuan Peng, Yilian Li, Yang Xiang, Junshu Lu, Chengqi Xue, Hao Fan
To address the challenge of dynamically adjusting HUD illuminance in complex driving environments where ambient light, weather, and driving tasks collectively affect HUD readability, this study designed a driving simulator-based controlled experiment. The experiment investigated variations in HUD optimal perceived luminance and eye activity patterns across six operational scenarios. These scenarios were constructed by combining three weather conditions (clear, rainy, foggy) with two driving tasks (straight-line navigation, lane-changing) and were tested under eight ambient illumination levels that cover typical real-world driving environments. Twenty participants were recruited to participate in the experiment. Results revealed that the optimal perceived illuminance of HUDs differed extremely significantly across the three weather conditions: foggy weather required the highest HUD brightness, followed by rainy weather, while clear weather required the lowest. Based on the finding and the experimental parameter settings, a logarithmic model describing the relationship between the optimal perceived illuminance of HUDs and ambient illumination was established. This study's contribution lies in providing references for the interactive design of HUD brightness adjustment under different weather conditions, thereby contributing to the enhancement of driving safety.
在复杂的驾驶环境中,环境光线、天气和驾驶任务共同影响HUD的可读性,为了解决动态调整HUD照度的挑战,本研究设计了一个基于驾驶模拟器的控制实验。实验研究了六种操作场景下HUD最佳感知亮度和眼活动模式的变化。这些场景是通过结合三种天气条件(晴天、雨天、雾天)和两种驾驶任务(直线导航、变道)来构建的,并在八种环境光照水平下进行了测试,涵盖了典型的现实驾驶环境。招募了20名参与者参加实验。结果表明,HUD的最佳感知照度在三种天气条件下差异非常显著:雾天对HUD亮度的要求最高,其次是雨天,而晴朗天气对HUD亮度的要求最低。基于上述发现和实验参数设置,建立了hud最佳感知照度与环境照度之间的对数模型。本研究的贡献在于为不同天气条件下HUD亮度调节的交互设计提供参考,从而有助于提高驾驶安全性。
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International Journal of Industrial Ergonomics
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