Pub Date : 2026-03-01Epub Date: 2026-01-15DOI: 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.
{"title":"Interaction performance of mid-air touch with and without cursor in augmented reality environment","authors":"Chiuhsiang Joe Lin, Benedikta Anna Haulian Siboro, Wen-Ting Tsai","doi":"10.1016/j.ergon.2026.103894","DOIUrl":"10.1016/j.ergon.2026.103894","url":null,"abstract":"<div><div>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.</div></div>","PeriodicalId":50317,"journal":{"name":"International Journal of Industrial Ergonomics","volume":"112 ","pages":"Article 103894"},"PeriodicalIF":3.0,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145980066","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-03-01Epub Date: 2026-01-06DOI: 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.
{"title":"Virtual-to-physical load transformation: Misplacement rate, perceived difficulty, and movement time of manipulating a virtual and three real bars of varying masses","authors":"Yu-Hui Ho , Kai Way Li , Cheng-Chang Lien , Lu Peng","doi":"10.1016/j.ergon.2025.103870","DOIUrl":"10.1016/j.ergon.2025.103870","url":null,"abstract":"<div><div>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.</div></div>","PeriodicalId":50317,"journal":{"name":"International Journal of Industrial Ergonomics","volume":"112 ","pages":"Article 103870"},"PeriodicalIF":3.0,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145898152","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-03-01Epub Date: 2026-01-07DOI: 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.
{"title":"Exploring the impact of haptic feedback locations and mid-air haptic technology on driver's takeover performance and user experience in automated vehicles","authors":"Ruiheng Lan , Xu Sun , Qingfeng Wang , Bingjian Liu","doi":"10.1016/j.ergon.2026.103878","DOIUrl":"10.1016/j.ergon.2026.103878","url":null,"abstract":"<div><div>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.</div></div>","PeriodicalId":50317,"journal":{"name":"International Journal of Industrial Ergonomics","volume":"112 ","pages":"Article 103878"},"PeriodicalIF":3.0,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145929007","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-03-01Epub Date: 2026-01-20DOI: 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.
{"title":"How to provide information sources and comments in conversational agent response content: The roles of specialists and internet users","authors":"Yaping Zhang , Ronggang Zhou , Qianli Ma , Yue Liu , Jianhong Qu","doi":"10.1016/j.ergon.2026.103890","DOIUrl":"10.1016/j.ergon.2026.103890","url":null,"abstract":"<div><div>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.</div></div>","PeriodicalId":50317,"journal":{"name":"International Journal of Industrial Ergonomics","volume":"112 ","pages":"Article 103890"},"PeriodicalIF":3.0,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146038512","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-03-01Epub Date: 2026-02-02DOI: 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.
{"title":"Incorporating different phases of situation awareness information into the design of advanced takeover requests for urgent takeover scenarios","authors":"Hsueh-Yi Lai, Jyun-Hao Peng, Yong-Jhih Chen","doi":"10.1016/j.ergon.2026.103891","DOIUrl":"10.1016/j.ergon.2026.103891","url":null,"abstract":"<div><div>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.</div></div>","PeriodicalId":50317,"journal":{"name":"International Journal of Industrial Ergonomics","volume":"112 ","pages":"Article 103891"},"PeriodicalIF":3.0,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146189192","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-03-01Epub Date: 2026-01-28DOI: 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.
{"title":"The effects of in-vehicle fragrance environment on psychological and physiological recovery from driving fatigue","authors":"Zeping Chen , Qiang Liu , Jinglong Zhu , Guoliang Zhao , Jie Fu , Bo Li , Qing Li","doi":"10.1016/j.ergon.2026.103898","DOIUrl":"10.1016/j.ergon.2026.103898","url":null,"abstract":"<div><div>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.</div></div>","PeriodicalId":50317,"journal":{"name":"International Journal of Industrial Ergonomics","volume":"112 ","pages":"Article 103898"},"PeriodicalIF":3.0,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146079003","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-03-01Epub Date: 2026-01-08DOI: 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.
{"title":"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","authors":"Florestan Wagenblast, Robert Seibt, David Süß, Tessy Luger, Monika A. Rieger, Benjamin Steinhilber","doi":"10.1016/j.ergon.2025.103853","DOIUrl":"10.1016/j.ergon.2025.103853","url":null,"abstract":"<div><div>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.</div><div>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.</div><div>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.</div></div>","PeriodicalId":50317,"journal":{"name":"International Journal of Industrial Ergonomics","volume":"112 ","pages":"Article 103853"},"PeriodicalIF":3.0,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145929010","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-03-01Epub Date: 2026-01-13DOI: 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.
{"title":"Laboratory and field evaluation of user-perceived effort, comfort, and acceptance of passive back-support exoskeletons for masons","authors":"Mohamad Iyad Al-Khiami , Søren Munch Lindhard , Ahmad Said Saad","doi":"10.1016/j.ergon.2026.103881","DOIUrl":"10.1016/j.ergon.2026.103881","url":null,"abstract":"<div><div>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.</div></div>","PeriodicalId":50317,"journal":{"name":"International Journal of Industrial Ergonomics","volume":"112 ","pages":"Article 103881"},"PeriodicalIF":3.0,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145979995","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-03-01Epub Date: 2026-02-03DOI: 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.
{"title":"Prediction of musculoskeletal discomfort through integration of item response theory and machine learning","authors":"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","doi":"10.1016/j.ergon.2026.103899","DOIUrl":"10.1016/j.ergon.2026.103899","url":null,"abstract":"<div><div>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.</div></div>","PeriodicalId":50317,"journal":{"name":"International Journal of Industrial Ergonomics","volume":"112 ","pages":"Article 103899"},"PeriodicalIF":3.0,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146189193","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-03-01Epub Date: 2026-01-09DOI: 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.
{"title":"Optimal HUD illuminance perception modeling under ambient light and weather variations","authors":"Wenyu Wu, Yingfeng Hu, Guangyuan Peng, Yilian Li, Yang Xiang, Junshu Lu, Chengqi Xue, Hao Fan","doi":"10.1016/j.ergon.2026.103880","DOIUrl":"10.1016/j.ergon.2026.103880","url":null,"abstract":"<div><div>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.</div></div>","PeriodicalId":50317,"journal":{"name":"International Journal of Industrial Ergonomics","volume":"112 ","pages":"Article 103880"},"PeriodicalIF":3.0,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145929009","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}