Pub Date : 2018-07-01DOI: 10.1109/IIAI-AAI.2018.00196
M. Nakayama, Takahito Tamai, A. Ishigame, Yukie Majima
Communicating the skills of experts to subsequent generations presents great difficulty. For example, an experienced nurse might be skilled at injecting a patient without imparting any pain, but it is difficult to describe that method to another nurse. This study investigated whether brain wave synchronization can result from interaction with communication robots.
{"title":"Brain Wave Influence on Interaction with a Communication Robot","authors":"M. Nakayama, Takahito Tamai, A. Ishigame, Yukie Majima","doi":"10.1109/IIAI-AAI.2018.00196","DOIUrl":"https://doi.org/10.1109/IIAI-AAI.2018.00196","url":null,"abstract":"Communicating the skills of experts to subsequent generations presents great difficulty. For example, an experienced nurse might be skilled at injecting a patient without imparting any pain, but it is difficult to describe that method to another nurse. This study investigated whether brain wave synchronization can result from interaction with communication robots.","PeriodicalId":309975,"journal":{"name":"2018 7th International Congress on Advanced Applied Informatics (IIAI-AAI)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122381534","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 : 2018-07-01DOI: 10.1109/IIAI-AAI.2018.00186
Kazuya Murata, E. Ito, T. Fujimoto
Recently, there are a lot of the "Ruler" applications using the mobile devices such as the smartphones. Regarding the simple application, it shows a ruler with the divisions of the real size on a display, to be used as a small ruler. However, it can only measure for a maximum of 10 cm (4 inches), and it is not practical for the use. Some rulers measure the length of the object by, calculating with the distance from an object with the image recognition technology and the camera functions. However, this is a length measurement using the camera function and it does not have physical presence and it is not always convenient, either. These are the two main types of the "ruler" applications for the mobile devices today. Form the viewpoints of utility and usability, it is hard to say that they are attractive for the practical use. The biggest reason is that they lack "Sensory Reality" which common "rulers" have. In other words, charms and convenience that the analog "rulers" have are largely decreased because they make most of the digital function to the maximum. Therefore our research team suggests a ruler application, "Infinite Scale" that enables the users to utilize smartphones as rulers in more practical way. How to use "Infinite Scale" is extremely simple. It can measure the length as long as the user moved the smartphone to trace the target length. Unlike the previous ruler applications, which use the technique to calculate the distance from the object to suppose the target length, our application can really measure the length by the user's "moving" a smartphone. By this method, the user can experience the very analog "sensory reality"; the user can measure the length by operating a measurement device.
{"title":"A Proposal for \"Infinite Scale\" Ruler Application that Provides Analog-Like \"Sensory Reality\"","authors":"Kazuya Murata, E. Ito, T. Fujimoto","doi":"10.1109/IIAI-AAI.2018.00186","DOIUrl":"https://doi.org/10.1109/IIAI-AAI.2018.00186","url":null,"abstract":"Recently, there are a lot of the \"Ruler\" applications using the mobile devices such as the smartphones. Regarding the simple application, it shows a ruler with the divisions of the real size on a display, to be used as a small ruler. However, it can only measure for a maximum of 10 cm (4 inches), and it is not practical for the use. Some rulers measure the length of the object by, calculating with the distance from an object with the image recognition technology and the camera functions. However, this is a length measurement using the camera function and it does not have physical presence and it is not always convenient, either. These are the two main types of the \"ruler\" applications for the mobile devices today. Form the viewpoints of utility and usability, it is hard to say that they are attractive for the practical use. The biggest reason is that they lack \"Sensory Reality\" which common \"rulers\" have. In other words, charms and convenience that the analog \"rulers\" have are largely decreased because they make most of the digital function to the maximum. Therefore our research team suggests a ruler application, \"Infinite Scale\" that enables the users to utilize smartphones as rulers in more practical way. How to use \"Infinite Scale\" is extremely simple. It can measure the length as long as the user moved the smartphone to trace the target length. Unlike the previous ruler applications, which use the technique to calculate the distance from the object to suppose the target length, our application can really measure the length by the user's \"moving\" a smartphone. By this method, the user can experience the very analog \"sensory reality\"; the user can measure the length by operating a measurement device.","PeriodicalId":309975,"journal":{"name":"2018 7th International Congress on Advanced Applied Informatics (IIAI-AAI)","volume":"342 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122545809","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 : 2018-07-01DOI: 10.1109/IIAI-AAI.2018.00032
S. Ishida, S. Takaki, Takahiro Yamamoto, S. Tagashira, Akira Fukuda
This paper presents an actual BLE-based indoor localization system utilizing separate channel fingerprinting. Separate channel fingerprinting measures RSS (received signal strength) of BLE signals in three advertising channels to enhance location-specific features for accuracy improvement. The basic ideas of separate channel fingerprinting was presented in our previous work lacking evaluation of localization accuracy in a practical environment. We therefore present design and implementation of a localization system utilizing separate channel fingerprinting. We conducted experimental evaluation and demonstrated that the separate channel fingerprinting successfully improved localization accuracy by approx. 28.5%.
{"title":"Evaluation of BLE Separate Channel Fingerprinting in Practical Environment","authors":"S. Ishida, S. Takaki, Takahiro Yamamoto, S. Tagashira, Akira Fukuda","doi":"10.1109/IIAI-AAI.2018.00032","DOIUrl":"https://doi.org/10.1109/IIAI-AAI.2018.00032","url":null,"abstract":"This paper presents an actual BLE-based indoor localization system utilizing separate channel fingerprinting. Separate channel fingerprinting measures RSS (received signal strength) of BLE signals in three advertising channels to enhance location-specific features for accuracy improvement. The basic ideas of separate channel fingerprinting was presented in our previous work lacking evaluation of localization accuracy in a practical environment. We therefore present design and implementation of a localization system utilizing separate channel fingerprinting. We conducted experimental evaluation and demonstrated that the separate channel fingerprinting successfully improved localization accuracy by approx. 28.5%.","PeriodicalId":309975,"journal":{"name":"2018 7th International Congress on Advanced Applied Informatics (IIAI-AAI)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129131621","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 : 2018-07-01DOI: 10.1109/IIAI-AAI.2018.00136
Maoyuan Shen, Runhe Huang
WeChat is one of social network applications that connects people widely. Huge data is generated when users conduct conversations, which can be used to enhance their lives. This paper will describe how this data is collected, how to develop a personalized chatbot using personal conversation records. Our system will have a cognitive map based on the word2vec model, which is used to learn and store the relationship of each word that appears in the chatting records. Each word will be mapped to a continuous high dimensional vector space. Then we will adopt the sequence-to-sequence framework (seq2seq) to learn the chatting styles from all pairs of chatting sentences. Meanwhile, we will replace the traditional one-hot embedding layer with our word2vec embedding layer in the seq2seq model. Furthermore, we trained an autoencoder of seq2seq architecture to learn the vector representation of each sentence, then we can evaluate the cosine similarity between model generated response and the pre-existing response in test set, and we can also display the distance with principal component analysis (PCA) projection. As a result, our word2vec embedded seq2seq model significantly outperforms the one-hot embedded one.
{"title":"A Personal Conversation Assistant Based on Seq2seq with Word2vec Cognitive Map","authors":"Maoyuan Shen, Runhe Huang","doi":"10.1109/IIAI-AAI.2018.00136","DOIUrl":"https://doi.org/10.1109/IIAI-AAI.2018.00136","url":null,"abstract":"WeChat is one of social network applications that connects people widely. Huge data is generated when users conduct conversations, which can be used to enhance their lives. This paper will describe how this data is collected, how to develop a personalized chatbot using personal conversation records. Our system will have a cognitive map based on the word2vec model, which is used to learn and store the relationship of each word that appears in the chatting records. Each word will be mapped to a continuous high dimensional vector space. Then we will adopt the sequence-to-sequence framework (seq2seq) to learn the chatting styles from all pairs of chatting sentences. Meanwhile, we will replace the traditional one-hot embedding layer with our word2vec embedding layer in the seq2seq model. Furthermore, we trained an autoencoder of seq2seq architecture to learn the vector representation of each sentence, then we can evaluate the cosine similarity between model generated response and the pre-existing response in test set, and we can also display the distance with principal component analysis (PCA) projection. As a result, our word2vec embedded seq2seq model significantly outperforms the one-hot embedded one.","PeriodicalId":309975,"journal":{"name":"2018 7th International Congress on Advanced Applied Informatics (IIAI-AAI)","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115852871","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 : 2018-07-01DOI: 10.1109/IIAI-AAI.2018.00048
Kiichiro Okubo, Kazunori Sato, Y. Wada, Kazuyuki Asai, S. Kubo, T. Horita
This study considers comprehension of manga as part of establishing an effective teaching method of reading comprehension for manga. Specifically, the learning program to foster media literacy through reading, interpretation, and appreciation of manga for fifth - grade students were organized and analyzed using the framework of the existing text comprehension model. According to the analyses, models such as this kind of sentence-level understanding may also be present in the reading of manga. In the reading of manga, multiple levels of comprehension may need to be taught, including surface-level, text-based, and situation models.
{"title":"Study of Manga Reading Comprehension and Teaching Methods for Manga Reading","authors":"Kiichiro Okubo, Kazunori Sato, Y. Wada, Kazuyuki Asai, S. Kubo, T. Horita","doi":"10.1109/IIAI-AAI.2018.00048","DOIUrl":"https://doi.org/10.1109/IIAI-AAI.2018.00048","url":null,"abstract":"This study considers comprehension of manga as part of establishing an effective teaching method of reading comprehension for manga. Specifically, the learning program to foster media literacy through reading, interpretation, and appreciation of manga for fifth - grade students were organized and analyzed using the framework of the existing text comprehension model. According to the analyses, models such as this kind of sentence-level understanding may also be present in the reading of manga. In the reading of manga, multiple levels of comprehension may need to be taught, including surface-level, text-based, and situation models.","PeriodicalId":309975,"journal":{"name":"2018 7th International Congress on Advanced Applied Informatics (IIAI-AAI)","volume":"257 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115870381","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 : 2018-07-01DOI: 10.1109/IIAI-AAI.2018.00080
B. Flanagan, H. Ogata
Learning takes place in a variety of different environments, both in-class as of formal learning and outside as informal learning. Seamless learning offers the opportunity to learn in different environments regardless of location or time. Students can benefit from learning in many contexts, and it can also provide insights for teachers into how learning is being conducted in informal situations outside the classroom. Previous work into the analysis of seamless learning has mainly focused on purpose build specialized systems that provide an environment for a specific task. In recent years, the field of learning analytics has been growing and learning environments are increasingly being developed across different modular systems that are linked together by standards-based protocols. In order to analyze seamless learning on a larger scale, this paper proposes the integration of an informal learning system, SCROLL, into a wider modular system. The proposed system addresses fundamental problems, such as the protection of user privacy and authentication while increasing the availability of data for analysis from other learning systems. We also examine the ability to analyze and visualize learning across numerous environments and contexts.
{"title":"A Learning Analytics Platform Approach to Seamless Learning","authors":"B. Flanagan, H. Ogata","doi":"10.1109/IIAI-AAI.2018.00080","DOIUrl":"https://doi.org/10.1109/IIAI-AAI.2018.00080","url":null,"abstract":"Learning takes place in a variety of different environments, both in-class as of formal learning and outside as informal learning. Seamless learning offers the opportunity to learn in different environments regardless of location or time. Students can benefit from learning in many contexts, and it can also provide insights for teachers into how learning is being conducted in informal situations outside the classroom. Previous work into the analysis of seamless learning has mainly focused on purpose build specialized systems that provide an environment for a specific task. In recent years, the field of learning analytics has been growing and learning environments are increasingly being developed across different modular systems that are linked together by standards-based protocols. In order to analyze seamless learning on a larger scale, this paper proposes the integration of an informal learning system, SCROLL, into a wider modular system. The proposed system addresses fundamental problems, such as the protection of user privacy and authentication while increasing the availability of data for analysis from other learning systems. We also examine the ability to analyze and visualize learning across numerous environments and contexts.","PeriodicalId":309975,"journal":{"name":"2018 7th International Congress on Advanced Applied Informatics (IIAI-AAI)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116006952","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}
We created a self-training assessment support system utilizing a web camera for the self-study of injection techniques. In this study, we tested the effectiveness of utilizing this assessment support system for improving the skills of 19 second-year nursing students. The results showed that being able to objectively observe those techniques requiring correction led to nurses taking their errors seriously. In particular, the results suggested that an assessment support system that can capture blind spots is useful for the self-study of difficult techniques requiring fine hand movements such as injection.
{"title":"Examination of the Efficacy of an Injection Technique Support System","authors":"Sakiko Sumai, Kayo Haruta, Norio Ishii, Mieko Suwa, Minako Nakamura, Tomomi Morishita, Shintarou Higashiyama, Yukari Murayama, Ryota Ijima, Hiroaki Sawano, H. Suzumura","doi":"10.1109/IIAI-AAI.2018.00197","DOIUrl":"https://doi.org/10.1109/IIAI-AAI.2018.00197","url":null,"abstract":"We created a self-training assessment support system utilizing a web camera for the self-study of injection techniques. In this study, we tested the effectiveness of utilizing this assessment support system for improving the skills of 19 second-year nursing students. The results showed that being able to objectively observe those techniques requiring correction led to nurses taking their errors seriously. In particular, the results suggested that an assessment support system that can capture blind spots is useful for the self-study of difficult techniques requiring fine hand movements such as injection.","PeriodicalId":309975,"journal":{"name":"2018 7th International Congress on Advanced Applied Informatics (IIAI-AAI)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115393577","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 : 2018-07-01DOI: 10.1109/IIAI-AAI.2018.00062
Jingyun Wang, Kentaro Kojima
In this paper, we present a mathematical model for forming heterogeneous groups of learners under different teaching strategies. This model requires a formulation which can effectively predict the learning performance of cooperative learning groups. Therefore, we explore the correlations between learning performance and various learner characteristics including learning motivation, learning strategy use, learning styles and gender based on real-world data. By means of analyzing learner data of 157 students in a cooperative learning course, learner attributes irrelevant to cooperative learning performance are excluded from the formulation; this sharply decreases the workload of group formation calculation. In future work, a tool will be implemented based on this adjustable mathematical model and this tool will be used in daily teaching to evaluate its effectiveness.
{"title":"Exploring an Approach for Grouping through Predicting Group Performance from Analysis of Learner Characteristics","authors":"Jingyun Wang, Kentaro Kojima","doi":"10.1109/IIAI-AAI.2018.00062","DOIUrl":"https://doi.org/10.1109/IIAI-AAI.2018.00062","url":null,"abstract":"In this paper, we present a mathematical model for forming heterogeneous groups of learners under different teaching strategies. This model requires a formulation which can effectively predict the learning performance of cooperative learning groups. Therefore, we explore the correlations between learning performance and various learner characteristics including learning motivation, learning strategy use, learning styles and gender based on real-world data. By means of analyzing learner data of 157 students in a cooperative learning course, learner attributes irrelevant to cooperative learning performance are excluded from the formulation; this sharply decreases the workload of group formation calculation. In future work, a tool will be implemented based on this adjustable mathematical model and this tool will be used in daily teaching to evaluate its effectiveness.","PeriodicalId":309975,"journal":{"name":"2018 7th International Congress on Advanced Applied Informatics (IIAI-AAI)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115684485","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 : 2018-07-01DOI: 10.1109/IIAI-AAI.2018.00127
Sho Oishi, Naoki Fukuta
In this paper, we present an overview of an optimization that a personal assistant agent learns timings to elicit preferences from their stakeholders while negotiating with other agents to execute each task cooperatively. We consider a negotiating agent that represents an associated stakeholder with only limited information about user preferences. To avoid bothering users and exposing their privacy to ask about their preferences, we present a mechanism that allow personal assistant agents to learn the policy to elicit preferences from their stakeholders using a Q-Learning based approach.
{"title":"Toward an Optimization of Elicitation Timings Considering Elicitation Costs and User Privacy for Personal Assistant Agents","authors":"Sho Oishi, Naoki Fukuta","doi":"10.1109/IIAI-AAI.2018.00127","DOIUrl":"https://doi.org/10.1109/IIAI-AAI.2018.00127","url":null,"abstract":"In this paper, we present an overview of an optimization that a personal assistant agent learns timings to elicit preferences from their stakeholders while negotiating with other agents to execute each task cooperatively. We consider a negotiating agent that represents an associated stakeholder with only limited information about user preferences. To avoid bothering users and exposing their privacy to ask about their preferences, we present a mechanism that allow personal assistant agents to learn the policy to elicit preferences from their stakeholders using a Q-Learning based approach.","PeriodicalId":309975,"journal":{"name":"2018 7th International Congress on Advanced Applied Informatics (IIAI-AAI)","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114592419","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 : 2018-07-01DOI: 10.1109/IIAI-AAI.2018.00182
T. Fujimoto
Recently, content and services that merge the digital and the analog together have gathered people's attention. While every kind of tool and service has been digitized, people are rediscovering functionality provided by analog-like methods or user experiences. In this paper, we demonstrate the design concept and method for producing digital content, which we named "Analog on Digital (AoD). AoD is the idea of controlling digital content on devices through analog-like methods, and it is different from the idea of "Internet of Things (IoT)" to control physical tools or machines digitally. We also introduce the development examples based on the AoD concept that our research team is engaged in.
{"title":"Ideology of AoD: Analog On Digital - Operating Digitized Objects and Experiences with Analog-Like Approach","authors":"T. Fujimoto","doi":"10.1109/IIAI-AAI.2018.00182","DOIUrl":"https://doi.org/10.1109/IIAI-AAI.2018.00182","url":null,"abstract":"Recently, content and services that merge the digital and the analog together have gathered people's attention. While every kind of tool and service has been digitized, people are rediscovering functionality provided by analog-like methods or user experiences. In this paper, we demonstrate the design concept and method for producing digital content, which we named \"Analog on Digital (AoD). AoD is the idea of controlling digital content on devices through analog-like methods, and it is different from the idea of \"Internet of Things (IoT)\" to control physical tools or machines digitally. We also introduce the development examples based on the AoD concept that our research team is engaged in.","PeriodicalId":309975,"journal":{"name":"2018 7th International Congress on Advanced Applied Informatics (IIAI-AAI)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116227659","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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