Proceedings of the 6th International Conference on Intelligent Human Systems Integration (IHSI 2023) Integrating People and Intelligent Systems, February 22–24, 2023, Venice, Italy最新文献

{"title":"An objective aesthetic evaluation method of CNC machine tool based on\u0000 aesthetic degree calculation","authors":"Xianzhao Fang, Jianrun Zhang","doi":"10.54941/ahfe1002888","DOIUrl":"https://doi.org/10.54941/ahfe1002888","url":null,"abstract":"According to the method for beauty degree calculation proposed by Ngo\u0000 (2003), beauty degree calculation has been widely used in designing the\u0000 shape of various objects and the aesthetics of various interfaces. He\u0000 quantified the interface by dividing the interface into 14 indicators such\u0000 as balance, symmetry, cohesion, and simplicity to achieve the\u0000 objectification of beauty evaluation. This paper mainly studies the\u0000 relationship between the interface aesthetic and the CNC machine tool\u0000 evaluation by comparing the results of the machine tool's beauty degree\u0000 calculation results and the participants' subjective evaluation scores, to\u0000 verify the application of the beauty degree calculation on the evaluation of\u0000 machine tool design, providing an idea for future machine tool design.\u0000 First, 6 classic machine tool schemes were selected, and 8 related\u0000 indicators were pre-processed through a questionnaire survey to obtain the 6\u0000 participating elements that the participants thought were most relevant to\u0000 the appearance evaluation of the machine tool, to avoid subsequent elements\u0000 interfering with the subjects' scoring. Then, 4 different types of machine\u0000 tool were selected which can mainly represent the mainstream machine tool\u0000 design, and the scores of 6 interface elements were calculated by MATLAB\u0000 software to obtain the ranking.\u0000 (https://www.mathworks.com/products/matlab.html) In the second step, the\u0000 questionnaire was used to ask the subjects to rank the beauty of each\u0000 machine tool design. Finally, the experimental beauty degree calculation\u0000 results are compared with the subjective evaluation result. Compared\u0000 subjective questionnaire result with the calculation results, the ranking of\u0000 the calculation results is consistent. This shows that the beauty degree\u0000 calculation results of the beauty of the machine tool are consistent with\u0000 the subjective evaluation. The application of the beauty degree calculation\u0000 in the evaluation of the CNC machine tool design scheme is scientific and\u0000 accurate, which can realize the objective evaluation of the appearance of\u0000 the machine tool and help the designers to improve the design scheme and\u0000 design layout.","PeriodicalId":269162,"journal":{"name":"Proceedings of the 6th International Conference on Intelligent Human Systems Integration (IHSI 2023) Integrating People and Intelligent Systems, February 22–24, 2023, Venice, Italy","volume":"75 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":"132449238","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}

{"title":"An augmented-reality-assisted immersive system for robotic arms\u0000 teleoperation","authors":"C. Loconsole, D. Leonardis, A. Frisoli","doi":"10.54941/ahfe1002831","DOIUrl":"https://doi.org/10.54941/ahfe1002831","url":null,"abstract":"In recent years Virtual Reality (VR) and Augmented Reality (AR)\u0000 Head-Mounted Displays (HMDs) have been used to provide an immersive,\u0000 first-person view in real-time in robotic teleoperation\u0000 applications.However, there are two main critical issues in robotic\u0000 teleoperation for remote manipulation and real-world interaction: firstly,\u0000 it is challenging to correctly perceive the distance and the dimensions\u0000 during fine manipulation tasks; secondly, latency in video streaming can\u0000 affect the immersive experience of the operator. To address these issues, in\u0000 this paper we propose a novel system that allows the operator to immersively\u0000 teleoperate robotic arms using his/her hand motion and gesture.More in\u0000 detail, the operator wears a HMD equipped with hand tracking and head\u0000 orientation estimation technologies. The hand tracking and gesture\u0000 recognition are used by the operator to generate control commands for remote\u0000 robotic arms, whereas the head orientation angles are used to control the\u0000 orientation of a remote robotic base on which is installed a RGB-Depth\u0000 (RGB-D) camera. The latter allows the operator an improved immersive\u0000 experience since he/she can freely rotate his/her head resulting in a\u0000 corresponding movement of the camera on the remote side. Furthermore, the\u0000 video/depth streaming of the RGB-D camera is used for three main objectives:\u0000 i) appropriately filtering the RGB image through spatial depth information\u0000 for reducing the number of significant pixels to be sent to the HMD thus\u0000 reducing the latency; ii) providing spatial cues overlaid on the 2D image to\u0000 facilitate remote interaction (basic AR); iii) generating additional\u0000 augmented information with the real-world environment for specific tasks\u0000 (advanced AR). On the remote side of the system, the robotic base of the\u0000 RGB-D camera is integral with the base system of two robotic arms, each of\u0000 them equipped with a robotic hand for object manipulation and\u0000 interaction.The proposed system can be used for several tasks in several\u0000 scenarios including social applications and high-risk situations. In the\u0000 former scenario, an operator can remotely interact with a person by\u0000 providing assistance or by playing board games. In the latter scenario, our\u0000 system, suitably integrated with a robotic base allowing its mobility, makes\u0000 possible some teleoperated activities such as door opening, valve turning\u0000 and switch operating without local human intervention.","PeriodicalId":269162,"journal":{"name":"Proceedings of the 6th International Conference on Intelligent Human Systems Integration (IHSI 2023) Integrating People and Intelligent Systems, February 22–24, 2023, Venice, Italy","volume":"7 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":"132589682","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}

{"title":"Experiential Learning for Industry 4.0 in Higher Education: a\u0000 Challenge-based learning case study","authors":"Gabriela Reyes Zárate, Claudia Lizette Garay Rondero","doi":"10.54941/ahfe1002913","DOIUrl":"https://doi.org/10.54941/ahfe1002913","url":null,"abstract":"Organisations and institutions worldwide know the need for trained\u0000 workers to handle future workplace challenges. This assertion focuses on the\u0000 growth of digital literacy and several other skills and abilities known as\u0000 digital transformation competencies. Universities, employers, governments,\u0000 and organisations recognise an existing gap in the students' education about\u0000 developing, utilising, and implementing new technologies. The contribution\u0000 of this work is to present an educational innovation case study in which\u0000 students implemented and customised Industry 4.0 technologies. The team\u0000 designed an assembly line with a collaborative robot and real-time\u0000 data-accessing dashboards with an Overall Equipment Efficiency (OEE)\u0000 indicator. Undergraduates start the experiential learning process by\u0000 studying time and movement tasks, designing workstations, and placing the\u0000 components for the assembly. Digital tools are used to track assembly line\u0000 availability, efficiency, and quality in real time, demonstrating the\u0000 positive impact of a collaborative robot on production. By introducing\u0000 Industry 4.0 into the industrial engineering curriculum, students can\u0000 improve their digital tools knowledge, problem-solving, teamwork, and\u0000 communication. This study provides future directions for students'\u0000 activities incorporating more technologies and digital enablers in Industry\u0000 4.0, adding relevant transversal skills regarding sustainability and\u0000 citizenship.","PeriodicalId":269162,"journal":{"name":"Proceedings of the 6th International Conference on Intelligent Human Systems Integration (IHSI 2023) Integrating People and Intelligent Systems, February 22–24, 2023, Venice, Italy","volume":"109 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":"124886753","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}

{"title":"Effects of listening to sutra chanting during breaks in on-demand lecture\u0000 attendance","authors":"Kyoko Ito, Hiroki Yoshikawa","doi":"10.54941/ahfe1002826","DOIUrl":"https://doi.org/10.54941/ahfe1002826","url":null,"abstract":"On-demand lectures are characterized by the fact that students\u0000 themselves can freely arrange the lecture format, such as whether or not to\u0000 take breaks during the lecture. This study aims to construct an effective\u0000 lecture/training method suitable for on-demand lectures. Considering the\u0000 time and location constraints of on-demand lectures, this study examines\u0000 ways to provide adequate relaxation and a change of pace. Therefore, we\u0000 propose listening to sutra chanting as an effective method during breaks in\u0000 on-demand lectures. The effects of sutra chanting are considered to be a\u0000 calm mind, moderate stimulation and a change of mood. An experiment was\u0000 conducted to confirm the effect of sutra chanting during breaks in on-demand\u0000 lectures. The participants were 20 university students. As a result, when\u0000 attending on-demand lectures, we sought changes in subjective evaluation of\u0000 listening to the sutra chanting during breaks.","PeriodicalId":269162,"journal":{"name":"Proceedings of the 6th International Conference on Intelligent Human Systems Integration (IHSI 2023) Integrating People and Intelligent Systems, February 22–24, 2023, Venice, Italy","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":"130231750","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}

{"title":"Conceptual Exploration of Contextual Information for Situational\u0000 Understanding","authors":"Stratis Aloimonos, A. Raglin","doi":"10.54941/ahfe1002855","DOIUrl":"https://doi.org/10.54941/ahfe1002855","url":null,"abstract":"The Army is often required to deploy soldiers into dangerous situations\u0000 to offer assistance and relief. When deployed, these soldiers need to be\u0000 aware of the potential dangers, properly assess the level of possible\u0000 threats, and make the best choices to respond. One solution for this problem\u0000 space is to have an intelligent system that recognizes scenes which may\u0000 contain danger, regardless of the type or timeframe associated with that\u0000 danger. This type of system would help make decisions about what to do in\u0000 situations where danger may be prevalent. Thus, creating an intelligent\u0000 system that could identify the scene and contextual information, for\u0000 example, potential dangers, would provide greater situational understanding\u0000 and support autonomous systems and solider interactions. As a proxy for\u0000 representing scenes that may be similar to those encountered by soldiers, a\u0000 set of images of natural or manmade disasters were selected and used to\u0000 identify strengths and weaknesses in existing models for this type of\u0000 intelligent system. In this work, images from CRISISMMD, a dataset of\u0000 natural disasters tweets, as well as other images of disasters in the public\u0000 domain which do not belong to any particular dataset, are used. For the\u0000 initial phase of the work this dataset was used to determine and showcase\u0000 the strengths and weaknesses of existing object recognition and visual\u0000 question answering systems that when combined would create a prototype\u0000 intelligent system. Specifically, YOLO (You Only Look Once), augmented with\u0000 Word2Vec (a natural language processing (NLP) system which finds the\u0000 similarities of different words in a very large corpus) was selected for\u0000 performing the object recognition (Bochkovskiy et al. 2020). This system was\u0000 selected to identify objects further based on the presence of other, similar\u0000 objects using the similarities between their names. Also, CLIP (Contrastive\u0000 Language Image Pretraining), which identifies the probabilities of scenes\u0000 based on a certain number of possibilities and BLIP (Bootstrapping Language\u0000 Image Pretraining) (Li et al. 2022), an advanced visual question answering\u0000 system which is also capable of generating captions for images were\u0000 explored. In addition, a concept of an intelligent system where contextual\u0000 information is identified and utilized can be used to support situational\u0000 understanding.","PeriodicalId":269162,"journal":{"name":"Proceedings of the 6th International Conference on Intelligent Human Systems Integration (IHSI 2023) Integrating People and Intelligent Systems, February 22–24, 2023, Venice, Italy","volume":"6 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":"129188830","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}

{"title":"Privacy Preserving Stress Detection System Using Physiological Data from\u0000 Wearable Device","authors":"Yongho Lee, Nahyun Lee, Vinh Pham, Jiwoo Lee, T. Chung","doi":"10.54941/ahfe1002853","DOIUrl":"https://doi.org/10.54941/ahfe1002853","url":null,"abstract":"Stress is considered to be an emotional state deserving of special\u0000 attention, as it brings about harmful effects on human health when exposed\u0000 to in the long term. Stress may also induce general health risks, including\u0000 headaches, sleep disorders, and cardiovascular diseases. Continuous\u0000 monitoring of emotion can help patients suffering from psychiatric disorders\u0000 better understand themselves and promote the emotional well-being of the\u0000 public in general. Recent advancements in wearable technologies and\u0000 biosensors enable a decent level of emotion and stress detection through\u0000 multimodal machine learning analysis and measurement outside of lab\u0000 conditions. As machine learning solutions demand a large amount of training\u0000 data, collecting and combining personal data is a prerequisite for accurate\u0000 analysis. However, due to the highly sensitive nature of medical data, the\u0000 additional implementation of measures for the preservation of user privacy\u0000 is a non-trivial task when developing an AI-based stress detection solution.\u0000 We propose a novel machine learning stress detection system that facilitates\u0000 privacy-preserving data exploitation based on FedAvg, a renowned federated\u0000 learning algorithm. We evaluated our system design on a standard multimodal\u0000 dataset for the detection of stress. Experiment results demonstrate that our\u0000 system may achieve a detection accuracy of 75% without jeopardizing the\u0000 privacy of user data.","PeriodicalId":269162,"journal":{"name":"Proceedings of the 6th International Conference on Intelligent Human Systems Integration (IHSI 2023) Integrating People and Intelligent Systems, February 22–24, 2023, Venice, Italy","volume":"8 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":"130124271","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}

{"title":"Aesthetic Evaluation of Music Apps Interface Based on Aesthetic\u0000 Calculation","authors":"Xinran Yan, Chen Xue","doi":"10.54941/ahfe1002879","DOIUrl":"https://doi.org/10.54941/ahfe1002879","url":null,"abstract":"This study selects balance, order, simplicity and proportion for\u0000 quantifying to propose a comprehensive aesthetic calculation method for the\u0000 layout of interface which verified by the music apps.","PeriodicalId":269162,"journal":{"name":"Proceedings of the 6th International Conference on Intelligent Human Systems Integration (IHSI 2023) Integrating People and Intelligent Systems, February 22–24, 2023, Venice, Italy","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":"129722663","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}

{"title":"Fire Risk Assessment in Universities Based on Fault Tree Analysis and\u0000 Bayesian Network","authors":"A. Yang, Beibei Sun","doi":"10.54941/ahfe1002846","DOIUrl":"https://doi.org/10.54941/ahfe1002846","url":null,"abstract":"In order to scientifically and accurately analyze the fire hazards\u0000 existing in colleges and universities, and put forward feasible suggestions\u0000 for eliminating hidden dangers, a fire risk assessment method based on Fault\u0000 tree analysis and Bayesian network is proposed.Firstly, the Fault tree of\u0000 the large loss caused by the fire in the university premises is constructed,\u0000 and then the Fault tree is transformed into a Bayesian network model. In\u0000 this method, the failure risk of the fire protection system can be obtained\u0000 by forward reasoning according to the probability of the basic events in the\u0000 fire, and finally, the reliability of the fire protection system of the\u0000 whole university is analyzed.At the same time, combined with the reverse\u0000 diagnosis and reasoning technology of Bayesian network, according to the\u0000 known or assumed state of leaf nodes, the posterior probability and\u0000 probability importance degree of each root node can be reversed to check the\u0000 weak links in the fire protection system. In the conclusion, suggestions and\u0000 rectification strategies are put forward for the fire protection system in\u0000 colleges and universities.This paper proposes a method that combines fault\u0000 tree analysis with Bayesian network and applies it to fire risk assessment\u0000 in colleges and universities. Based on the fire protection big data, the\u0000 software Genie3.0 is used to construct a Bayesian network model of fire risk\u0000 in universities, and an example analysis of fire risk assessment is carried\u0000 out by taking a university in Nanjing as an example, which not only analyzes\u0000 the reliability of the entire system, but also It also uses the\u0000 bidirectional reasoning ability of Bayesian network to analyze the weak link\u0000 performance of the system, which improves the model's description ability\u0000 and inference computing ability. It is proved that the FTA-BN method has\u0000 application potential in the field of fire risk assessment.","PeriodicalId":269162,"journal":{"name":"Proceedings of the 6th International Conference on Intelligent Human Systems Integration (IHSI 2023) Integrating People and Intelligent Systems, February 22–24, 2023, Venice, Italy","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":"128948197","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}

{"title":"Evaluation of the Effect of VR Disaster Experience in Familiar\u0000 Environment","authors":"Wataru Asaba, Kimi Ueda, H. Ishii, H. Shimoda","doi":"10.54941/ahfe1002889","DOIUrl":"https://doi.org/10.54941/ahfe1002889","url":null,"abstract":"The number of natural disasters has been increasing in recent decades,\u0000 and the amount of damage becomes enormous. To reduce the damage, it is\u0000 crucial that people become more aware of disaster prevention and takes\u0000 action for disaster prevention and mitigation. As disaster education to\u0000 raise awareness, a method using virtual reality (VR) has been attractive\u0000 because the VR disaster experience is more realistic than a video showing\u0000 the scene of a disaster and requires less equipment than a simulated\u0000 experience using a quake simulator. It can also reproduce disasters that are\u0000 difficult to experience in reality, such as fire. However, in conventional\u0000 VR disaster experience systems, it is possible to experience only a specific\u0000 environment that the designer has selected and created in advance. The\u0000 environment is often different from that in which users spend their everyday\u0000 lives. Therefore, it was difficult to feel a sense of reality and fear that\u0000 a disaster might actually occur. In addition, from the viewpoint of\u0000 reviewing disaster countermeasures, there were few points that could be used\u0000 as references. In order to solve this problem, the authors have developed a\u0000 system that automatically creates a VR space that enables users to\u0000 experience a disaster based on images captured by cameras. This system makes\u0000 it very easy to experience disasters in the environment, which they spend\u0000 everyday lives in, constructed from pictures taken by them. Moreover, it may\u0000 raise awareness of disaster prevention. It is not clear, however, to what\u0000 extent the experience of a disaster in a familiar environment is effective,\u0000 or how the psychology of the experiencers changes when they experience a\u0000 disaster in a familiar environment.The purpose of this study is therefore to\u0000 evaluate whether the users’ awareness of disaster prevention improve when\u0000 they experience the VR disaster experience in a familiar environment like\u0000 their own room. In this study, earthquake and fire are treated as disasters\u0000 to be experienced.In the experiment, participants were asked to take\u0000 pictures of the room in which the participant spend their most of everyday\u0000 lives, and to experience virtual earthquake and fire in the room created\u0000 from the pictures and in the non-familiar environment. After experiencing\u0000 each disaster experience environment, they were asked to answer a\u0000 questionnaire about their awareness of disaster prevention, which included a\u0000 sense of reality, a sense of fear, a sense of familiar environment,\u0000 communication intention, disaster risk perception, anxiety and disaster\u0000 prevention behavioral intention. The results were used to compare the\u0000 effects of each disaster experience environment on the awareness of disaster\u0000 prevention.The results of the evaluation experiment showed the possibility\u0000 that the familiar environment can trigger participants to imagine that a\u0000 disaster will actually happen to them, and can increase their awareness of\u0000 disaster prevention. O","PeriodicalId":269162,"journal":{"name":"Proceedings of the 6th International Conference on Intelligent Human Systems Integration (IHSI 2023) Integrating People and Intelligent Systems, February 22–24, 2023, Venice, Italy","volume":"401 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":"122819871","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}

{"title":"Effects of Visual Anchors in Sequential Presentations of Data\u0000 Visualization","authors":"Xinyi Tang, Linlin Wang, Ningyue Peng, Chengqi Xue","doi":"10.54941/ahfe1002887","DOIUrl":"https://doi.org/10.54941/ahfe1002887","url":null,"abstract":"Nowadays, people need to process a great deal of complex information,\u0000 and make more elaborate estimations or decisions. One particular concern\u0000 when handling complex information is that the first piece of information\u0000 tends to bias cognition and results in estimation deviation, which is\u0000 referred to as the anchoring effect. Currently, some researchers on\u0000 information visualization suggest that anchoring effects can not only be\u0000 found in classical numerical anchors, but in the form of visual anchors.\u0000 Recent research concerning the anchoring effects in visualization\u0000 investigated the existence of anchoring effects in a variety of forms and\u0000 tasks of data visualization. However, these studies seem to focus only on\u0000 evaluating whether users are subject to anchoring biases in a way similar to\u0000 previous studies from psychology, and it is still unclear how various\u0000 sequential presentations of information affect decision-making. The present\u0000 study is aimed to investigate the effects of different presentations of\u0000 anchors on the performance of decision-making, thus providing some support\u0000 for mitigating this kind of cognitive bias.Methods To investigate, two\u0000 within-subjects experiments were performed. In both experiments,\u0000 participants were tasked to estimate the value of target stimuli, which\u0000 presented after anchoring stimuli. In Experiment 1, A 2 (anchor value:\u0000 higher vs. lower) ×2 (anchor source: experimenter-provided vs.\u0000 self-generated) experimental design was adopted, to check if these factors\u0000 of anchoring stimuli play a role in numerical estimation. Based on the\u0000 results of Experiment 1, showing no anchoring effects under the condition of\u0000 self-generated anchors, the purpose of Experiment 2 was to evaluate how\u0000 different presentations of experimenter-provided anchors (with four\u0000 conditions: control, clockwise, counterclockwise, and vertical) facilitate\u0000 or hinder visual information processing, thus affecting decision-making.\u0000 User behavior and performance in decision-making were assessed through\u0000 multiple behavioral metrics, including an estimation value metrics, an\u0000 estimation accuracy metric based on the correctness and a time-of-task\u0000 metrics.Results Evidence of anchoring effects was presented by analyzing a\u0000 variety of presentations of visual anchors. The data of Experiment 1\u0000 revealed that when responding to experimenter-provided anchors, the\u0000 estimation of the target stimuli was affected by the prior anchoring\u0000 stimuli, while the same results were not observed under the condition of\u0000 self-generated anchors. It is shown in the Experiment 2 that these four\u0000 different types of visual anchors were comparable on most metrics, and there\u0000 are significant differences between three experimental groups and the\u0000 control group. Then implications of our results on future work was\u0000 discussed, such as the need for more physiological and electrophysiological\u0000 methods to investigate underlying neural mechanisms, and raise concerns on\u0000 how to alleviate a","PeriodicalId":269162,"journal":{"name":"Proceedings of the 6th International Conference on Intelligent Human Systems Integration (IHSI 2023) Integrating People and Intelligent Systems, February 22–24, 2023, Venice, Italy","volume":"48 24","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132062666","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}