Muhammad Ammar, Muhammad Moeed Ahmed, Muhammad Abdullah Younas, Khezar Qayyum, Fahad Iqbal Khawaja, Umer Asgher, Sara Ali, Y. Ayaz
Robots that can navigate through their environment are termed mobile robots. Mobile robots are being utilized in various fields, such as agriculture, transport, package delivery, disaster recovery, military, surveillance, and warehouse management. In warehouses, Autonomous Mobile Robots (AMR) for intralogistics are becoming increasingly common in warehouses. AMRs for intralogistics allow a safer work environment, less need for manual labor, and minimal downtime which translates to optimized productivity. AMRs do not need any specialized infrastructure for guidance as they can be set up with the existing warehouse layout. Presently, AMRs in warehouses need assistance while loading and unloading packages in their storage compartments. Manual loading and unloading is a simple but time-consuming solution. Robotic manipulators are also commonly used for this purpose either mounted on the AMR or present at the conveyor station. Another possible solution is to make use of a tilting platform, or a plate installed on top of the AMR using a hydraulic system that drops off the load by banking the top to one side. This paper proposes an alternate solution for loading and unloading packages on AMRs in warehouses. A chain-driven live roller (CDLR) system is proposed which is installed on top of the AMR. The rollers are driven by a chain that is connected to the rollers via sprockets. The chain is driven by a motor powered by the robot’s battery, so no external power source is needed. The loading can be done by a conveyor belt dropping package to be transported on top of the robot. The robot prevents slippage of the package during transportation by using actuated braces that pop up as soon as the package starts moving over the live rollers. At the drop-off location, the braces drop down and the CDLR is driven automatically by the robot for the drop-off of the package. Chutes or containers can be used as the drop-off location. In addition to simplifying the loading and unloading process, the proposed mechanism optimizes the overall process as it can transport heavy loads without any torque reduction. The proposed system needs minimal human assistance and is more reliable and time-efficient as compared to existing systems.
{"title":"A Chain-Driven Live Roller Mechanism for Loading and Unloading Packages on Autonomous Mobile Robots in Warehouses","authors":"Muhammad Ammar, Muhammad Moeed Ahmed, Muhammad Abdullah Younas, Khezar Qayyum, Fahad Iqbal Khawaja, Umer Asgher, Sara Ali, Y. Ayaz","doi":"10.54941/ahfe1001600","DOIUrl":"https://doi.org/10.54941/ahfe1001600","url":null,"abstract":"Robots that can navigate through their environment are termed mobile robots. Mobile robots are being utilized in various fields, such as agriculture, transport, package delivery, disaster recovery, military, surveillance, and warehouse management. In warehouses, Autonomous Mobile Robots (AMR) for intralogistics are becoming increasingly common in warehouses. AMRs for intralogistics allow a safer work environment, less need for manual labor, and minimal downtime which translates to optimized productivity. AMRs do not need any specialized infrastructure for guidance as they can be set up with the existing warehouse layout. Presently, AMRs in warehouses need assistance while loading and unloading packages in their storage compartments. Manual loading and unloading is a simple but time-consuming solution. Robotic manipulators are also commonly used for this purpose either mounted on the AMR or present at the conveyor station. Another possible solution is to make use of a tilting platform, or a plate installed on top of the AMR using a hydraulic system that drops off the load by banking the top to one side. This paper proposes an alternate solution for loading and unloading packages on AMRs in warehouses. A chain-driven live roller (CDLR) system is proposed which is installed on top of the AMR. The rollers are driven by a chain that is connected to the rollers via sprockets. The chain is driven by a motor powered by the robot’s battery, so no external power source is needed. The loading can be done by a conveyor belt dropping package to be transported on top of the robot. The robot prevents slippage of the package during transportation by using actuated braces that pop up as soon as the package starts moving over the live rollers. At the drop-off location, the braces drop down and the CDLR is driven automatically by the robot for the drop-off of the package. Chutes or containers can be used as the drop-off location. In addition to simplifying the loading and unloading process, the proposed mechanism optimizes the overall process as it can transport heavy loads without any torque reduction. The proposed system needs minimal human assistance and is more reliable and time-efficient as compared to existing systems.","PeriodicalId":221615,"journal":{"name":"Industrial Cognitive Ergonomics and Engineering Psychology","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124490926","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Saeed Iqbal, Shahid Nawaz Khan, Muhammad Sajid, Sara Ali, Fahad Iqbal Khawaja, Umer Asgher, Y. Ayaz
The robotic hand robustness is necessary for different applications. In the past two decades, the magnetoresistance (MR) sensor technology has developed into a new field of magnetic sensing based of tunnel magnetoresistance technology (TMR) that is expanding rapidly. The hand gesture and position of finger can be found out with the help of different kind of sensors each kind of sensor have its challenges as well as the limitations. Smart sensors like TMR can provide multiple information with very small footprint, low power, and cost. This paper presents a novel technique to sense the robotic or human hand finger position with the help of non-contact magnetic field sensor called TMR sensor. The human hand finger position has been measured at four different positions. The results validate that the four finger positions has been detected with the help of single sensor with precision.
{"title":"Novel Approach for Sensing the Humanoid Hand Finger Position Using Non-contact TMR Sensor","authors":"Saeed Iqbal, Shahid Nawaz Khan, Muhammad Sajid, Sara Ali, Fahad Iqbal Khawaja, Umer Asgher, Y. Ayaz","doi":"10.54941/ahfe1001599","DOIUrl":"https://doi.org/10.54941/ahfe1001599","url":null,"abstract":"The robotic hand robustness is necessary for different applications. In the past two decades, the magnetoresistance (MR) sensor technology has developed into a new field of magnetic sensing based of tunnel magnetoresistance technology (TMR) that is expanding rapidly. The hand gesture and position of finger can be found out with the help of different kind of sensors each kind of sensor have its challenges as well as the limitations. Smart sensors like TMR can provide multiple information with very small footprint, low power, and cost. This paper presents a novel technique to sense the robotic or human hand finger position with the help of non-contact magnetic field sensor called TMR sensor. The human hand finger position has been measured at four different positions. The results validate that the four finger positions has been detected with the help of single sensor with precision.","PeriodicalId":221615,"journal":{"name":"Industrial Cognitive Ergonomics and Engineering Psychology","volume":"89 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126615530","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Anum Jaffer, Sara Ali, Fahad Iqbal Khawaja, Y. Ayaz, Muhammad Sajid, Umer Asgher
For an efficient and smooth human-robot interaction, communication protocols such as verbal and non-verbal communication, emotions, and personality plays an important role. Human-Robot-Interaction is an emerging field and robots are now a part of daily life where it can grasp both verbal and non-verbal cues. Personality prediction is an important research area in Human-Robot Interaction (HRI). Several important question in personality prediction includes: which personality traits will be important and which specific phycology model and robot do researchers use? Secondly, how emotions, facial expression, paralanguage, and bodily movements are related to personality traits? And finally, how will we acquire data to train a robot and what kind of questionnaires can be used? With the support of prior research studies and experiments, this paper will contribute towards developing the ground basis for personality prediction using a robot.
{"title":"Personality Prediction in Human-Robot-Interaction (HRI)","authors":"Anum Jaffer, Sara Ali, Fahad Iqbal Khawaja, Y. Ayaz, Muhammad Sajid, Umer Asgher","doi":"10.54941/ahfe1001601","DOIUrl":"https://doi.org/10.54941/ahfe1001601","url":null,"abstract":"For an efficient and smooth human-robot interaction, communication protocols such as verbal and non-verbal communication, emotions, and personality plays an important role. Human-Robot-Interaction is an emerging field and robots are now a part of daily life where it can grasp both verbal and non-verbal cues. Personality prediction is an important research area in Human-Robot Interaction (HRI). Several important question in personality prediction includes: which personality traits will be important and which specific phycology model and robot do researchers use? Secondly, how emotions, facial expression, paralanguage, and bodily movements are related to personality traits? And finally, how will we acquire data to train a robot and what kind of questionnaires can be used? With the support of prior research studies and experiments, this paper will contribute towards developing the ground basis for personality prediction using a robot.","PeriodicalId":221615,"journal":{"name":"Industrial Cognitive Ergonomics and Engineering Psychology","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131033215","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Asmara Safdar, Sara Ali, Muhammad Sajid, Umer Asgher, Y. Ayaz
This paper describes creation of a dataset and addresses an image processing problem in the field of education. A Convolutional Neural Network (CNN) based model is trained to classify the images extracted from academic documents. With the advent of distant learning mode and assessment criteria based on online submissions, there is a need to improve assessment approaches other than finding plagiarism. To enhance the understanding of the concepts, project-based learning (PjBL) in distant learning mode (DL) can be adopted. PjBL has proven successful even for complex engineering problems. It has been found out that PjBL of basic teaching assessment decreases the pressure on institutional resources while also making it easier and more practical for students. So, we are considering project reports or assignment as core source of evaluation. Extracting diagrams and software generated images (graphs and software generated object models) is focus for the current work as they reflect knowledge and main effort of a student especially in engineering academics. Here figures are referred as images of schematic representation to show the working or architecture of a work or a phenomenon. Software based images (sbi) include graphs, simulation images and software generated pictures or models. We aim to distinguish the diagrams and sbi from rest of the figures so it can be filtered out for further assessment. The data extracted is in the form of images. A CNN based classification model MobileNet is used to classify the images. The results show viability of the dataset and promising trend keeping in view the difficulty level of problem and size of dataset. Accuracy can be improved by adopting other approaches to train and clean data and by increasing the data set by extracting more images from same domain of problem.
{"title":"Image Classification for Project-based Learning to Differentiate Diagram and Figures.","authors":"Asmara Safdar, Sara Ali, Muhammad Sajid, Umer Asgher, Y. Ayaz","doi":"10.54941/ahfe1001597","DOIUrl":"https://doi.org/10.54941/ahfe1001597","url":null,"abstract":"This paper describes creation of a dataset and addresses an image processing problem in the field of education. A Convolutional Neural Network (CNN) based model is trained to classify the images extracted from academic documents. With the advent of distant learning mode and assessment criteria based on online submissions, there is a need to improve assessment approaches other than finding plagiarism. To enhance the understanding of the concepts, project-based learning (PjBL) in distant learning mode (DL) can be adopted. PjBL has proven successful even for complex engineering problems. It has been found out that PjBL of basic teaching assessment decreases the pressure on institutional resources while also making it easier and more practical for students. So, we are considering project reports or assignment as core source of evaluation. Extracting diagrams and software generated images (graphs and software generated object models) is focus for the current work as they reflect knowledge and main effort of a student especially in engineering academics. Here figures are referred as images of schematic representation to show the working or architecture of a work or a phenomenon. Software based images (sbi) include graphs, simulation images and software generated pictures or models. We aim to distinguish the diagrams and sbi from rest of the figures so it can be filtered out for further assessment. The data extracted is in the form of images. A CNN based classification model MobileNet is used to classify the images. The results show viability of the dataset and promising trend keeping in view the difficulty level of problem and size of dataset. Accuracy can be improved by adopting other approaches to train and clean data and by increasing the data set by extracting more images from same domain of problem.","PeriodicalId":221615,"journal":{"name":"Industrial Cognitive Ergonomics and Engineering Psychology","volume":"179 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114161626","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Z. Zakeri, Azfar Khalid, Ahmet Omurtag, Greg Hilliard, P. Breedon
The use of collaborative robots (cobots) in the industrial setting has grown and continues to expand globally, especially in the context of the smart factory. Mistrust and stress results, as cobots don’t provide facial, auditory, and visual cues that workers normally use to predict behavior. For quantification of mental stress, physiological, behavioral and subjective measures are integrated, processed and analyzed in a smart factory lab setting. The impact on the human workers as mental stress and fatigue conditions are correlated with the task complexity, speed of work, length of collaborative task and cobot payload etc. Multimodal functional neuroimaging was used to record participants’ neural and cardiac activity, in addition to the standard subjective and behavioral measures as they collaborated with robots in multitasking contexts. Preliminary results show that task complexity is positively correlated with beta and gamma band power, left prefrontal cortex activation, and heart rate, while it is negatively correlated with alpha band power during task performance.
{"title":"Building Trust and safety Correlates for Autonomous Systems using Physiological, Behavioral, and Subjective Measures","authors":"Z. Zakeri, Azfar Khalid, Ahmet Omurtag, Greg Hilliard, P. Breedon","doi":"10.54941/ahfe1001595","DOIUrl":"https://doi.org/10.54941/ahfe1001595","url":null,"abstract":"The use of collaborative robots (cobots) in the industrial setting has grown and continues to expand globally, especially in the context of the smart factory. Mistrust and stress results, as cobots don’t provide facial, auditory, and visual cues that workers normally use to predict behavior. For quantification of mental stress, physiological, behavioral and subjective measures are integrated, processed and analyzed in a smart factory lab setting. The impact on the human workers as mental stress and fatigue conditions are correlated with the task complexity, speed of work, length of collaborative task and cobot payload etc. Multimodal functional neuroimaging was used to record participants’ neural and cardiac activity, in addition to the standard subjective and behavioral measures as they collaborated with robots in multitasking contexts. Preliminary results show that task complexity is positively correlated with beta and gamma band power, left prefrontal cortex activation, and heart rate, while it is negatively correlated with alpha band power during task performance.","PeriodicalId":221615,"journal":{"name":"Industrial Cognitive Ergonomics and Engineering Psychology","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129877544","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Brittany N. Neilson, S. Devlin, Sabrina Drollinger, Noelle Brown, Ciara M. Sibley, Cyrus K. Foroughi, Joseph T. Coyne
The pupil dilation of fifteen air traffic control students was recorded as they completed the mental counters working memory task. Standard deviation of pupil dilation for each of the 32 trials was computed for each individual and modeled as a growth curve. Pupil dilation variability fluctuated over time in a nonmonotonic manner. Interestingly, the magnitude and direction of pupil dilation variability differed across individuals, suggesting individual differences in arousal regulation. Performance measures of mental counters (i.e., accuracy and response time) were added as predictors to the growth curve model. Higher accuracy was associated with lower pupil dilation variability in general, suggesting better arousal regulation. Longer response times were associated with a greater fluctuation in pupil dilation variability, suggesting longer responses are associated with larger dysregulation of arousal. These findings are important to consider when developing real-time indicators of an operator’s functional state.
{"title":"Pupil Dilation Variability as an Indicator of Arousal Regulation: Towards Understanding Operator Functional State","authors":"Brittany N. Neilson, S. Devlin, Sabrina Drollinger, Noelle Brown, Ciara M. Sibley, Cyrus K. Foroughi, Joseph T. Coyne","doi":"10.54941/ahfe1001598","DOIUrl":"https://doi.org/10.54941/ahfe1001598","url":null,"abstract":"The pupil dilation of fifteen air traffic control students was recorded as they completed the mental counters working memory task. Standard deviation of pupil dilation for each of the 32 trials was computed for each individual and modeled as a growth curve. Pupil dilation variability fluctuated over time in a nonmonotonic manner. Interestingly, the magnitude and direction of pupil dilation variability differed across individuals, suggesting individual differences in arousal regulation. Performance measures of mental counters (i.e., accuracy and response time) were added as predictors to the growth curve model. Higher accuracy was associated with lower pupil dilation variability in general, suggesting better arousal regulation. Longer response times were associated with a greater fluctuation in pupil dilation variability, suggesting longer responses are associated with larger dysregulation of arousal. These findings are important to consider when developing real-time indicators of an operator’s functional state.","PeriodicalId":221615,"journal":{"name":"Industrial Cognitive Ergonomics and Engineering Psychology","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134183151","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Color has the characteristics of fast reading and fast recognition, with this reason, information in environments needs color to help fast communication, especially in the situation of emergency evacuation. The colour and graphic symbols on emergency evacuation signs(EES) help direct people to safety and provide emergency information quickly.(Barry Gray. 2012)But according to statistics, about 8% of the world population are suffered by color vision deficiency（CVD）. While they are not resolved all colors, just easy to confuse some color. Today, different countries or organizations have different standard for EES, and many research shows, the color recognition of EES still has the phenomenon of uneven benefits of different groups of people, which means there are significant differences in the color recognition efficiency of EES between CVD and normal vision groups, especially deuteranomalous vision group (G, Landini, G. Perryer.2009).While the appropriate color selection can substantially improve CVD groups’ color recognition and at the same time not affecting the normal users’ color recognition rate. Therefore, to explore appropriate EES color design optimization for the CVD population has the social and scientific significance.With this background, this research intends to study the EES color recognition of CVD people and try to build optimize EES color model for this group of users. The research start with different selections of EES color standard among countries and organizations. Through the comparison of these standard colors, some color samples are sorted out with the help of the recognition models of CVD people. Then totally 57 CVD people participated the research as experimental volunteers to test the recognition of selected samples. The final ranking of samples were influenced by both the color hue and also the color lightness contrast between EES background and the icon or text. The objective of the research is to build a more inclusive practical color model for improving EES and other safety sign design. The result of this research could assist color design optimization and help the EES design to select appropriate color, without affecting the recognition rate of normal color vision people, while greatly improving the recognition of CVD group. The research conforms to the design thinking of universal design, inclusive design and human-centred design. The results could be used to optimize or review EES and other signage color design, could also apply to other visual information communication field.
颜色具有快速阅读和快速识别的特点，因此，环境中的信息需要颜色来帮助快速沟通，特别是在紧急疏散的情况下。紧急疏散标志(EES)上的颜色和图形符号有助于引导人们前往安全地带，并迅速提供紧急信息。(Barry Gray. 2012)但据统计，世界上约有8%的人口患有色觉缺陷(CVD)。虽然它们不能分辨所有的颜色，只是容易混淆一些颜色。如今，不同的国家或组织对EES有不同的标准，许多研究表明，EES的颜色识别仍然存在不同人群受益不均衡的现象，这意味着CVD与正常视力群体，特别是后异常视力群体之间EES的颜色识别效率存在显著差异(G, Landini, G. perrier .2009)。而适当的颜色选择可以在不影响正常用户颜色识别率的前提下，大幅提高CVD组的颜色识别率。因此，探索适合心血管疾病人群的EES色彩优化设计具有重要的社会和科学意义。在此背景下，本研究拟对CVD人群的EES颜色识别进行研究，并尝试针对CVD人群构建优化的EES颜色模型。研究从不同国家和组织对EES颜色标准的不同选择入手。通过对这些标准色的对比，借助CVD人的识别模型，整理出一些颜色样本。然后，共有57名心血管疾病患者作为实验志愿者参与了研究，以测试对选定样本的识别能力。样本的最终排名受到EES背景与图标或文本之间的颜色色调和颜色明暗对比的影响。本研究旨在建立更具包容性的实用色彩模型，以改善EES及其他安全标志的设计。本研究结果可以辅助色彩设计优化，帮助EES设计选择合适的色彩，不影响正常色觉人群的识别率，同时大大提高CVD组的识别率。本研究符合通用设计、包容设计、以人为本的设计思维。研究结果可用于EES等标识色彩设计的优化或评审，也可应用于其他视觉信息传播领域。
{"title":"Optimization of the Emergency Evacuation Sign's Color Cognition for Users with Color Vision Deficiency","authors":"Du Wu, Peng Gao, Ying Zhang","doi":"10.54941/ahfe1001607","DOIUrl":"https://doi.org/10.54941/ahfe1001607","url":null,"abstract":"Color has the characteristics of fast reading and fast recognition, with this reason, information in environments needs color to help fast communication, especially in the situation of emergency evacuation. The colour and graphic symbols on emergency evacuation signs(EES) help direct people to safety and provide emergency information quickly.(Barry Gray. 2012)But according to statistics, about 8% of the world population are suffered by color vision deficiency（CVD）. While they are not resolved all colors, just easy to confuse some color. Today, different countries or organizations have different standard for EES, and many research shows, the color recognition of EES still has the phenomenon of uneven benefits of different groups of people, which means there are significant differences in the color recognition efficiency of EES between CVD and normal vision groups, especially deuteranomalous vision group (G, Landini, G. Perryer.2009).While the appropriate color selection can substantially improve CVD groups’ color recognition and at the same time not affecting the normal users’ color recognition rate. Therefore, to explore appropriate EES color design optimization for the CVD population has the social and scientific significance.With this background, this research intends to study the EES color recognition of CVD people and try to build optimize EES color model for this group of users. The research start with different selections of EES color standard among countries and organizations. Through the comparison of these standard colors, some color samples are sorted out with the help of the recognition models of CVD people. Then totally 57 CVD people participated the research as experimental volunteers to test the recognition of selected samples. The final ranking of samples were influenced by both the color hue and also the color lightness contrast between EES background and the icon or text. The objective of the research is to build a more inclusive practical color model for improving EES and other safety sign design. The result of this research could assist color design optimization and help the EES design to select appropriate color, without affecting the recognition rate of normal color vision people, while greatly improving the recognition of CVD group. The research conforms to the design thinking of universal design, inclusive design and human-centred design. The results could be used to optimize or review EES and other signage color design, could also apply to other visual information communication field.","PeriodicalId":221615,"journal":{"name":"Industrial Cognitive Ergonomics and Engineering Psychology","volume":"310 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131786797","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The development of the new era has given the new generation new psychological characteristics of loneliness. The purpose of this paper is to explore a new way to relieve loneliness, and to demonstrate that the interaction method and form of hugging with objects is useful for relieving loneliness.The new design and analysis method is used to verify that the ergonomic design of human fit and inductive hugging interaction function are useful for alleviating loneliness, proving that the emotional needs of users can be addressed by attaching hugging function and ergonomic redesign to specific products, providing a new direction for alleviating the psychological situation of contemporary lonely people and creating better products for alleviating loneliness.In this paper, a literature review is conducted in the early stage to outline the current research on the Internet and loneliness. Based on the starting point of hugging and fitting to relieve loneliness, a human-computer pillow with hugging function is designed. University students who meet the characteristics of the target user group are selected as the experimental research objects, and the questionnaire method is used to collect objective intelligence information by distributing online questionnaires to the research target group, and the interview method is used to conduct in-depth research on the target user group so as to deeply understand the users' psychology and identity. After collecting the relevant data, the data were statistically processed using mathematical tools, analyzed using SPSS and other analytical tools, and considered for its credibility, so as to verify the effect of hugs on alleviating loneliness. The experimental method and interview method were used to ask the test subjects about their feelings, so as to prove that the feeling of closeness has an effect on alleviating loneliness.This paper finds that the interaction action of hugging with objects and the ergonomically based sense of fit are useful for alleviating loneliness and can alleviate people's inner loneliness to a certain extent, which helps to focus on the new trend of loneliness psychology among young people based on the contemporary Internet society, design better loneliness relief products for lonely people and pay attention to the deep needs of users.Keywords: ergonomics, psychology, SPSS, loneliness, Internet, z era, interaction
{"title":"Responding to the Loneliness in the New Era of the Internet: Exploring the Role of Hugging and Fitting in Alleviating Loneliness","authors":"Song Siying, Xin He","doi":"10.54941/ahfe1001604","DOIUrl":"https://doi.org/10.54941/ahfe1001604","url":null,"abstract":"The development of the new era has given the new generation new psychological characteristics of loneliness. The purpose of this paper is to explore a new way to relieve loneliness, and to demonstrate that the interaction method and form of hugging with objects is useful for relieving loneliness.The new design and analysis method is used to verify that the ergonomic design of human fit and inductive hugging interaction function are useful for alleviating loneliness, proving that the emotional needs of users can be addressed by attaching hugging function and ergonomic redesign to specific products, providing a new direction for alleviating the psychological situation of contemporary lonely people and creating better products for alleviating loneliness.In this paper, a literature review is conducted in the early stage to outline the current research on the Internet and loneliness. Based on the starting point of hugging and fitting to relieve loneliness, a human-computer pillow with hugging function is designed. University students who meet the characteristics of the target user group are selected as the experimental research objects, and the questionnaire method is used to collect objective intelligence information by distributing online questionnaires to the research target group, and the interview method is used to conduct in-depth research on the target user group so as to deeply understand the users' psychology and identity. After collecting the relevant data, the data were statistically processed using mathematical tools, analyzed using SPSS and other analytical tools, and considered for its credibility, so as to verify the effect of hugs on alleviating loneliness. The experimental method and interview method were used to ask the test subjects about their feelings, so as to prove that the feeling of closeness has an effect on alleviating loneliness.This paper finds that the interaction action of hugging with objects and the ergonomically based sense of fit are useful for alleviating loneliness and can alleviate people's inner loneliness to a certain extent, which helps to focus on the new trend of loneliness psychology among young people based on the contemporary Internet society, design better loneliness relief products for lonely people and pay attention to the deep needs of users.Keywords: ergonomics, psychology, SPSS, loneliness, Internet, z era, interaction","PeriodicalId":221615,"journal":{"name":"Industrial Cognitive Ergonomics and Engineering Psychology","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134361176","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Benny Platte, M. Ritter, Christian Roschke, Rico Thomanek, Claudia Hösel, M. Baumgart
Ergonomically designed devices for better workplace design get too little at-tention compared to the annual cost of long-term damage. To help workers better achieve their goals in their work environment, we explore small-step changes that any individual can make with many existing keyboards. We studied the keyboards that users have been using as their daily keyboards for at least a year. In an investigation with baseline and treatment phase we pro-vide the users with 800 keycaps of different shapes, colors and surfaces and let them experiment for 3 months during their daily work. The evaluation shows that users were able to reduce the time for daily operations by 12% and halve the number of looks at the keyboard.
{"title":"How a Few Custom Keycaps Make Keyboards More Ergonomic and Reduce Eye Movement by 35%","authors":"Benny Platte, M. Ritter, Christian Roschke, Rico Thomanek, Claudia Hösel, M. Baumgart","doi":"10.54941/ahfe1001603","DOIUrl":"https://doi.org/10.54941/ahfe1001603","url":null,"abstract":"Ergonomically designed devices for better workplace design get too little at-tention compared to the annual cost of long-term damage. To help workers better achieve their goals in their work environment, we explore small-step changes that any individual can make with many existing keyboards. We studied the keyboards that users have been using as their daily keyboards for at least a year. In an investigation with baseline and treatment phase we pro-vide the users with 800 keycaps of different shapes, colors and surfaces and let them experiment for 3 months during their daily work. The evaluation shows that users were able to reduce the time for daily operations by 12% and halve the number of looks at the keyboard.","PeriodicalId":221615,"journal":{"name":"Industrial Cognitive Ergonomics and Engineering Psychology","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130202334","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
M. López, Mónica Acosta-Rodas, Mónica Bolaños-Pasquel, C. Ramos-Galarza
Impulse control, or also called inhibitory control, refers to the capacity of controlling attentiveness, behavior, thoughts, and/or emotions, and, at the end, to control internal willingness that is in charge of our behavior. It is important to mention that impulsiveness can be associated to three main factors, first, to behave without a direct implication of frontal lobe functioning; second, increased rate of the response given; and, behavior directed towards immediate reward. This article arises from the need to include technological innovations for the treatment of impulsiveness, thus, literature revision of the available applications about this topic has been made.
{"title":"Technological Innovations for the treatment of impulsiveness","authors":"M. López, Mónica Acosta-Rodas, Mónica Bolaños-Pasquel, C. Ramos-Galarza","doi":"10.54941/ahfe1001606","DOIUrl":"https://doi.org/10.54941/ahfe1001606","url":null,"abstract":"Impulse control, or also called inhibitory control, refers to the capacity of controlling attentiveness, behavior, thoughts, and/or emotions, and, at the end, to control internal willingness that is in charge of our behavior. It is important to mention that impulsiveness can be associated to three main factors, first, to behave without a direct implication of frontal lobe functioning; second, increased rate of the response given; and, behavior directed towards immediate reward. This article arises from the need to include technological innovations for the treatment of impulsiveness, thus, literature revision of the available applications about this topic has been made.","PeriodicalId":221615,"journal":{"name":"Industrial Cognitive Ergonomics and Engineering Psychology","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129967172","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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