Pub Date : 2019-12-01DOI: 10.1109/IEEM44572.2019.8978502
Y. Prasetyo, R. Widyaningrum, C. Lin
Eye gaze accuracy is one of the most commonly used parameter to evaluate the eye tracker performance. The current study applied stepwise multiple regression to predict the significant predictors for eye gaze accuracy (AC). 7 male and 3 female were recruited to perform multi-directional tapping task in the projection-based stereoscopic display under 3 different levels of parallax and 6 different levels of index of difficulty (ID). Tobii X2 eye tracker was used to measure the selected four eye movement parameters which consist number of fixation (NF), fixation duration (FD), time to first fixation (TFF), and eye movement time (EMT). The results indicated that NF was found to be the best predictor for AC followed by EMT and parallax. The R2 value of 0.247 indicating that the 24.7% of the variability of the data was explained by the model. Practitioner Summary: The result of multiple regression can be a valuable theoretical foundation for evaluating an eye tracker. The results could be very beneficial for human factors engineers and virtual reality developers especially for predicting eye gaze accuracy.
{"title":"Eye Gaze Accuracy in the Projection-based Stereoscopic Display as a Function of Number of Fixation, Eye Movement Time, and Parallax","authors":"Y. Prasetyo, R. Widyaningrum, C. Lin","doi":"10.1109/IEEM44572.2019.8978502","DOIUrl":"https://doi.org/10.1109/IEEM44572.2019.8978502","url":null,"abstract":"Eye gaze accuracy is one of the most commonly used parameter to evaluate the eye tracker performance. The current study applied stepwise multiple regression to predict the significant predictors for eye gaze accuracy (AC). 7 male and 3 female were recruited to perform multi-directional tapping task in the projection-based stereoscopic display under 3 different levels of parallax and 6 different levels of index of difficulty (ID). Tobii X2 eye tracker was used to measure the selected four eye movement parameters which consist number of fixation (NF), fixation duration (FD), time to first fixation (TFF), and eye movement time (EMT). The results indicated that NF was found to be the best predictor for AC followed by EMT and parallax. The R2 value of 0.247 indicating that the 24.7% of the variability of the data was explained by the model. Practitioner Summary: The result of multiple regression can be a valuable theoretical foundation for evaluating an eye tracker. The results could be very beneficial for human factors engineers and virtual reality developers especially for predicting eye gaze accuracy.","PeriodicalId":255418,"journal":{"name":"2019 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125592877","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}
Pub Date : 2019-12-01DOI: 10.1109/IEEM44572.2019.8978661
Sijia Lu, Suli Zheng, Qian Xu
Despite abundant studies on patent cooperation, few have carefully studied the structure and modes. Taking advantage of the patents granted by the State Intellectual Property Office of the People's Republic of China from 2007 to 2017, this paper revealed the overall situation of patent cooperation, shedding light on the patent cooperation patterns of listed companies. It shows that the size of patent cooperation network in the ICT industry demonstrates a significantly increasing trend, among which, leaders in the industry have formed their own clusters, with the networks having the small-world characteristics. Moreover, four structures of patent cooperation are summarized in the paper: (1) Minimum cooperation;(2) External oriented cooperation;(3) Internal oriented cooperation;(4) Compound cooperation.
{"title":"External or Internal Cooperation? Patenting Activities and Cooperative Structures in the Chinese ICT Sector","authors":"Sijia Lu, Suli Zheng, Qian Xu","doi":"10.1109/IEEM44572.2019.8978661","DOIUrl":"https://doi.org/10.1109/IEEM44572.2019.8978661","url":null,"abstract":"Despite abundant studies on patent cooperation, few have carefully studied the structure and modes. Taking advantage of the patents granted by the State Intellectual Property Office of the People's Republic of China from 2007 to 2017, this paper revealed the overall situation of patent cooperation, shedding light on the patent cooperation patterns of listed companies. It shows that the size of patent cooperation network in the ICT industry demonstrates a significantly increasing trend, among which, leaders in the industry have formed their own clusters, with the networks having the small-world characteristics. Moreover, four structures of patent cooperation are summarized in the paper: (1) Minimum cooperation;(2) External oriented cooperation;(3) Internal oriented cooperation;(4) Compound cooperation.","PeriodicalId":255418,"journal":{"name":"2019 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124873603","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}
Pub Date : 2019-12-01DOI: 10.1109/IEEM44572.2019.8978813
Ivonne Poves-Calderno, J. Ramirez-Mendoza, Victor Nuñez-Ponce, J. Alvarez-Merino
This study analyzes the influence of nonfulfillment of orders in a company that produces plastic sheets. The main cause of problems is the long unproductive times during the extrusion process, which decrease the index of the overall equipment effectiveness (OEE). An innovative proposal is presented to address this issue, involving the use of a systematic approach and combining the SMED and preventive maintenance techniques of the lean manufacturing methodology, with the aim of reducing unproductive times to improve the OEE index. To validate the effectiveness of the proposal, the systems were simulated using Arena simulation software and input analyzer, to determine the reduction of unproductive times. Results show that the proposal reduces the unproductive times bh 36.37% and improves the OEE index by 9.02%. This demonstrates the achievement of the objective of the project, which was to maximize the efficiency of the process and reduce the total time of the extrusion process, which will allow the company to fulfill the orders and avoid profit losses.
{"title":"Application of Lean Manufacturing Techniques in a Peruvian Plastic Company","authors":"Ivonne Poves-Calderno, J. Ramirez-Mendoza, Victor Nuñez-Ponce, J. Alvarez-Merino","doi":"10.1109/IEEM44572.2019.8978813","DOIUrl":"https://doi.org/10.1109/IEEM44572.2019.8978813","url":null,"abstract":"This study analyzes the influence of nonfulfillment of orders in a company that produces plastic sheets. The main cause of problems is the long unproductive times during the extrusion process, which decrease the index of the overall equipment effectiveness (OEE). An innovative proposal is presented to address this issue, involving the use of a systematic approach and combining the SMED and preventive maintenance techniques of the lean manufacturing methodology, with the aim of reducing unproductive times to improve the OEE index. To validate the effectiveness of the proposal, the systems were simulated using Arena simulation software and input analyzer, to determine the reduction of unproductive times. Results show that the proposal reduces the unproductive times bh 36.37% and improves the OEE index by 9.02%. This demonstrates the achievement of the objective of the project, which was to maximize the efficiency of the process and reduce the total time of the extrusion process, which will allow the company to fulfill the orders and avoid profit losses.","PeriodicalId":255418,"journal":{"name":"2019 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128714053","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}
Pub Date : 2019-12-01DOI: 10.1109/IEEM44572.2019.8978701
A. Telukdarie, M. Munsamy
The fourth industrial revolution, the digitization of industry, is driving business landscape and associated skills development, including tertiary education. Universities and institutions of higher learning have evolved into technological hubs, developing and delivering skills for the future. The operations and systems together with workflows of delivery at a tertiary institution should be modified to deliver services and a product that is 4IR savvy, more importantly, the systems and processes must be 4IR enabled so as to deliver a seamless, efficient, smart digital experience. This paper reviews tertiary institutional operations and provides an architecture to deliver digitization at institutional level. This research adopts a functional and architectural view of the system and systems of systems. A Digital Education Evaluation Model (DEEM) is proposed for evaluation of traditional and digitized practices, for identification of digitized technologies for adoption. The DEEM is demonstrated by comparatively analyzing traditional and virtual classrooms.
{"title":"Digitization of Higher Education Institutions","authors":"A. Telukdarie, M. Munsamy","doi":"10.1109/IEEM44572.2019.8978701","DOIUrl":"https://doi.org/10.1109/IEEM44572.2019.8978701","url":null,"abstract":"The fourth industrial revolution, the digitization of industry, is driving business landscape and associated skills development, including tertiary education. Universities and institutions of higher learning have evolved into technological hubs, developing and delivering skills for the future. The operations and systems together with workflows of delivery at a tertiary institution should be modified to deliver services and a product that is 4IR savvy, more importantly, the systems and processes must be 4IR enabled so as to deliver a seamless, efficient, smart digital experience. This paper reviews tertiary institutional operations and provides an architecture to deliver digitization at institutional level. This research adopts a functional and architectural view of the system and systems of systems. A Digital Education Evaluation Model (DEEM) is proposed for evaluation of traditional and digitized practices, for identification of digitized technologies for adoption. The DEEM is demonstrated by comparatively analyzing traditional and virtual classrooms.","PeriodicalId":255418,"journal":{"name":"2019 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121649427","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}
Pub Date : 2019-12-01DOI: 10.1109/IEEM44572.2019.8978843
Shih-Wen Ke, Chih-Wei Yeh
Previous studies proposed different hierarchical estimation approaches for solving certain specific domain problems. They usually combine two or more estimation models in a hierarchical fashion. Therefore, in our previous work [2], we proposed a hierarchical approach for generic purposes, the Hierarchical Classification and Regression (HCR), that incorporates classification and estimation techniques. The HCR [2] approach significantly outperformed three benchmark flat estimation models. Having seen the potential of the proposed HCR as a generic hierarchical regression scheme, we propose to further improve the HCR by introducing feature selection (FS) techniques to the HCR. In order to thoroughly investigate the effect of FS on the HCR, we examine different numbers of attributes remained after feature selection with respect to datasets of various sizes. The results showed that the HCR with linear regression performed significantly better than the other HCRs while feature selection helped lower the RMSE slightly with only 50% of the original features.
{"title":"Hierarchical Classification and Regression with Feature Selection","authors":"Shih-Wen Ke, Chih-Wei Yeh","doi":"10.1109/IEEM44572.2019.8978843","DOIUrl":"https://doi.org/10.1109/IEEM44572.2019.8978843","url":null,"abstract":"Previous studies proposed different hierarchical estimation approaches for solving certain specific domain problems. They usually combine two or more estimation models in a hierarchical fashion. Therefore, in our previous work [2], we proposed a hierarchical approach for generic purposes, the Hierarchical Classification and Regression (HCR), that incorporates classification and estimation techniques. The HCR [2] approach significantly outperformed three benchmark flat estimation models. Having seen the potential of the proposed HCR as a generic hierarchical regression scheme, we propose to further improve the HCR by introducing feature selection (FS) techniques to the HCR. In order to thoroughly investigate the effect of FS on the HCR, we examine different numbers of attributes remained after feature selection with respect to datasets of various sizes. The results showed that the HCR with linear regression performed significantly better than the other HCRs while feature selection helped lower the RMSE slightly with only 50% of the original features.","PeriodicalId":255418,"journal":{"name":"2019 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121851186","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}
Pub Date : 2019-12-01DOI: 10.1109/IEEM44572.2019.8978774
V. Kiisk
This paper explores the interplay between two dimensions of organizational learning - internal knowledge creation and external knowledge sourcing. Based on a sample of European information-and-communications-technology firms, this research demonstrates that there are differences in behavior as well as co-movement between the dimensions. The companies engaged in external learning tend to possess more internal knowledge stock as well as that higher internal knowledge stock triggers more active external learning strategies through business combinations, especially divestments.
{"title":"The Interplay Between Knowledge Creation Strategies: The Case of European Information-and-Communications-Technology Firms","authors":"V. Kiisk","doi":"10.1109/IEEM44572.2019.8978774","DOIUrl":"https://doi.org/10.1109/IEEM44572.2019.8978774","url":null,"abstract":"This paper explores the interplay between two dimensions of organizational learning - internal knowledge creation and external knowledge sourcing. Based on a sample of European information-and-communications-technology firms, this research demonstrates that there are differences in behavior as well as co-movement between the dimensions. The companies engaged in external learning tend to possess more internal knowledge stock as well as that higher internal knowledge stock triggers more active external learning strategies through business combinations, especially divestments.","PeriodicalId":255418,"journal":{"name":"2019 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115828402","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}
Pub Date : 2019-12-01DOI: 10.1109/IEEM44572.2019.8978862
Andrea Guevara-Yarasca, Gian Falla-Marcelo, J. Quiroz-Flores, J. Alvarez-Merino
The main purpose of managing a supply chain is to ensure the life cycle of a product or service, from reception of raw materials to final distribution. A key factor in achieving the goals of the organization lies in the timing of its processes, since variations in demand can lead to late deliveries, cancellation of orders, and increased reliance on inventory. Therefore, this paper proposes a model that determines the optimal amount to be produced, taking into account the various stages of the supply chain, many of which have not been considered in original models. This model involves reducing inventory overruns and the opportunity cost of using the Excel spreadsheet.
{"title":"Supply Model for Dependent Demand in the Peruvian Textile Industry: A Case Study","authors":"Andrea Guevara-Yarasca, Gian Falla-Marcelo, J. Quiroz-Flores, J. Alvarez-Merino","doi":"10.1109/IEEM44572.2019.8978862","DOIUrl":"https://doi.org/10.1109/IEEM44572.2019.8978862","url":null,"abstract":"The main purpose of managing a supply chain is to ensure the life cycle of a product or service, from reception of raw materials to final distribution. A key factor in achieving the goals of the organization lies in the timing of its processes, since variations in demand can lead to late deliveries, cancellation of orders, and increased reliance on inventory. Therefore, this paper proposes a model that determines the optimal amount to be produced, taking into account the various stages of the supply chain, many of which have not been considered in original models. This model involves reducing inventory overruns and the opportunity cost of using the Excel spreadsheet.","PeriodicalId":255418,"journal":{"name":"2019 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122607857","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}
Pub Date : 2019-12-01DOI: 10.1109/IEEM44572.2019.8978763
U. Dombrowski, Christoph Imdahl, Alexander Reiswich
This paper provides an overview of the importance of energy efficiency in companies. It shows that existing methods and tools for optimizing energy efficiency are not sufficient to overcome barriers in the industry to identify and implement energy efficiency measures. Therefore, nine barriers will be identified that are relevant for future energy efficiency optimization tools and compared with existing approaches. Six requirements have been derived from this comparison which will reduce the effect of the barriers in the future. The implementation and integration of these requirements promises a more comprehensive implementation of energy efficiency measures in industry.
{"title":"Industry Related Requirements for Tools for Planning Energy Efficient Factories","authors":"U. Dombrowski, Christoph Imdahl, Alexander Reiswich","doi":"10.1109/IEEM44572.2019.8978763","DOIUrl":"https://doi.org/10.1109/IEEM44572.2019.8978763","url":null,"abstract":"This paper provides an overview of the importance of energy efficiency in companies. It shows that existing methods and tools for optimizing energy efficiency are not sufficient to overcome barriers in the industry to identify and implement energy efficiency measures. Therefore, nine barriers will be identified that are relevant for future energy efficiency optimization tools and compared with existing approaches. Six requirements have been derived from this comparison which will reduce the effect of the barriers in the future. The implementation and integration of these requirements promises a more comprehensive implementation of energy efficiency measures in industry.","PeriodicalId":255418,"journal":{"name":"2019 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116388091","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}
Pub Date : 2019-12-01DOI: 10.1109/IEEM44572.2019.8978541
P. Kalaya, P. Termsuksawad, T. Wasusri
The pattern of lumpy demand affects the healthcare industry such as small community hospitals which encounter sporadic demands of slow-moving medicines. The objective of this work aimed to study performance of forecasting methods for inventory planning. This work compared two forecasting methods: Croston(CR) and the Teunter, Syntetos, and Babai's (TSB) methods. Furthermore, this work proposed a combination of Exponential and Poisson distribution and the use of average inter-demand interval combining with average demand to forecast lumpy demand. It assumed that amount of on-hand inventory would be equal to forecasting values. Mean square error (MSE) and number of shortage period were used as performance indicators of these methods. The simulation used 2 types of vital medicines, obtained from the community hospital in Mae Hong Son province from January 2015 to December 2017. The results from CR and TSB methods provided lower MSEs when the smoothing constants were unchanged until 12 weeks. Meanwhile, adjusting the smoothing constants every 4 weeks provided lower shortages. Meanwhile, the other two proposed methods led to lower shortages comparing with those of CR and TSB methods.
集中需求的模式影响了医疗保健行业，如小型社区医院，这些医院遇到了对缓慢流动药物的零星需求。本研究的目的是研究库存规划预测方法的性能。本研究比较了两种预测方法:Croston(CR)和Teunter, Syntetos, and Babai (TSB)方法。在此基础上，本文提出将指数分布与泊松分布相结合，利用平均需求间区间与平均需求相结合的方法来预测块状需求。它假设手头库存的数量等于预测值。以均方误差(MSE)和短缺期数作为这些方法的性能指标。模拟使用了2015年1月至2017年12月从湄宏顺省社区医院获得的两种重要药物。CR和TSB方法的结果显示，当平滑常数不变时，mse较低，直至12周。同时，每4周调整平滑常数可以降低短缺。同时，与CR和TSB方法相比，另外两种方法的不足之处也较小。
{"title":"Forecasting Lumpy Demand for Planning Inventory: The Case of Community Hospitals in Thailand","authors":"P. Kalaya, P. Termsuksawad, T. Wasusri","doi":"10.1109/IEEM44572.2019.8978541","DOIUrl":"https://doi.org/10.1109/IEEM44572.2019.8978541","url":null,"abstract":"The pattern of lumpy demand affects the healthcare industry such as small community hospitals which encounter sporadic demands of slow-moving medicines. The objective of this work aimed to study performance of forecasting methods for inventory planning. This work compared two forecasting methods: Croston(CR) and the Teunter, Syntetos, and Babai's (TSB) methods. Furthermore, this work proposed a combination of Exponential and Poisson distribution and the use of average inter-demand interval combining with average demand to forecast lumpy demand. It assumed that amount of on-hand inventory would be equal to forecasting values. Mean square error (MSE) and number of shortage period were used as performance indicators of these methods. The simulation used 2 types of vital medicines, obtained from the community hospital in Mae Hong Son province from January 2015 to December 2017. The results from CR and TSB methods provided lower MSEs when the smoothing constants were unchanged until 12 weeks. Meanwhile, adjusting the smoothing constants every 4 weeks provided lower shortages. Meanwhile, the other two proposed methods led to lower shortages comparing with those of CR and TSB methods.","PeriodicalId":255418,"journal":{"name":"2019 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116497632","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}
Pub Date : 2019-12-01DOI: 10.1109/IEEM44572.2019.8978775
Chien-Sing Lee
Affordance in product, packaging and service design has attracted much attention. Aiming at increasing perceived usefulness and usability, foci has increasingly extended to user experience and interaction. Neuroscience research can also benefit from affordance research, i.e., by designing external task demands to trigger/train functional networks and possibly, to compensate dysfunctional networks. Visual processing influences diverse cognitive processings. Hence, aspects investigated are types of contexts and properties which contribute to visual salience (colour, shape). The aim is to investigate which among these factors can serve as LeCun's common filter to improve search strategies and identification of the region of interest across sample well-defined and ill-defined contexts. Function (goal), structure (associative schema) and behaviour (actionable possibilities) stand out as the meta-heuristics, above shape and colour. A hierarchical optimizer matrix linking affordance design with schematics is then proposed.
{"title":"In Search of an Optimizer Matrix for Affordance Design","authors":"Chien-Sing Lee","doi":"10.1109/IEEM44572.2019.8978775","DOIUrl":"https://doi.org/10.1109/IEEM44572.2019.8978775","url":null,"abstract":"Affordance in product, packaging and service design has attracted much attention. Aiming at increasing perceived usefulness and usability, foci has increasingly extended to user experience and interaction. Neuroscience research can also benefit from affordance research, i.e., by designing external task demands to trigger/train functional networks and possibly, to compensate dysfunctional networks. Visual processing influences diverse cognitive processings. Hence, aspects investigated are types of contexts and properties which contribute to visual salience (colour, shape). The aim is to investigate which among these factors can serve as LeCun's common filter to improve search strategies and identification of the region of interest across sample well-defined and ill-defined contexts. Function (goal), structure (associative schema) and behaviour (actionable possibilities) stand out as the meta-heuristics, above shape and colour. A hierarchical optimizer matrix linking affordance design with schematics is then proposed.","PeriodicalId":255418,"journal":{"name":"2019 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126626088","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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