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The Thousand Faces of Explainable AI Along the Machine Learning Life Cycle: Industrial Reality and Current State of Research 机器学习生命周期中可解释人工智能的千姿百态：行业现实与研究现状
Interacción Pub Date : 2023-10-11 DOI: 10.1007/978-3-031-35891-3_13
T. Decker, Ralf Gross, Alexander Koebler, Michael Lebacher, Ronald Schnitzer, Stefan H. Weber
{"title":"The Thousand Faces of Explainable AI Along the Machine Learning Life Cycle: Industrial Reality and Current State of Research","authors":"T. Decker, Ralf Gross, Alexander Koebler, Michael Lebacher, Ronald Schnitzer, Stefan H. Weber","doi":"10.1007/978-3-031-35891-3_13","DOIUrl":"https://doi.org/10.1007/978-3-031-35891-3_13","url":null,"abstract":"","PeriodicalId":129626,"journal":{"name":"Interacción","volume":"3 1","pages":"184-208"},"PeriodicalIF":0.0,"publicationDate":"2023-10-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139320340","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}
引用次数: 0
Tell Me, What Are You Most Afraid Of? Exploring the Effects of Agent Representation on Information Disclosure in Human-Chatbot Interaction 告诉我，你最害怕什么?人-聊天机器人交互中Agent表示对信息披露的影响研究
Interacción Pub Date : 2023-07-23 DOI: 10.1007/978-3-031-35894-4_13
Anna Stock, Stephan Schlögl, Aleksander Groth
{"title":"Tell Me, What Are You Most Afraid Of? Exploring the Effects of Agent Representation on Information Disclosure in Human-Chatbot Interaction","authors":"Anna Stock, Stephan Schlögl, Aleksander Groth","doi":"10.1007/978-3-031-35894-4_13","DOIUrl":"https://doi.org/10.1007/978-3-031-35894-4_13","url":null,"abstract":"","PeriodicalId":129626,"journal":{"name":"Interacción","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134450271","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}
引用次数: 1
Modular 3D Interface Design for Accessible VR Applications 可访问的VR应用的模块化3D界面设计
Interacción Pub Date : 2023-04-08 DOI: 10.1007/978-3-031-35634-6_2
Corrie Green, Yang Jiang, John Isaacs
{"title":"Modular 3D Interface Design for Accessible VR Applications","authors":"Corrie Green, Yang Jiang, John Isaacs","doi":"10.1007/978-3-031-35634-6_2","DOIUrl":"https://doi.org/10.1007/978-3-031-35634-6_2","url":null,"abstract":"","PeriodicalId":129626,"journal":{"name":"Interacción","volume":"47 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124130619","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}
引用次数: 0
A new perspective on the prediction of the innovation performance: A data driven methodology to identify innovation indicators through a comparative study of Boston's neighborhoods 创新绩效预测的新视角:一种数据驱动的方法，通过波士顿社区的比较研究确定创新指标
Interacción Pub Date : 2023-04-04 DOI: 10.48550/arXiv.2304.06039
E. Oikonomaki, Dimitris Belivanis
{"title":"A new perspective on the prediction of the innovation performance: A data driven methodology to identify innovation indicators through a comparative study of Boston's neighborhoods","authors":"E. Oikonomaki, Dimitris Belivanis","doi":"10.48550/arXiv.2304.06039","DOIUrl":"https://doi.org/10.48550/arXiv.2304.06039","url":null,"abstract":"In an era of knowledge-based economy, commercialized research and globalized competition for talent, the creation of innovation ecosystems and innovation networks is at the forefront of efforts of cities. In this context, public authorities, private organizations, and academics respond to the question of the most promising indicators that can predict innovation with various innovation scoreboards. The current paper aims at increasing the understanding of the existing indicators and complementing the various innovation assessment toolkits, using large datasets from non-traditional sources. The success of both top down implemented innovation districts and community-level innovation ecosystems is complex and has not been well examined. Yet, limited data shed light on the association between indicators and innovation performance at the neighborhood level. For this purpose, the city of Boston has been selected as a case study to reveal the importance of its neighborhood's different characteristics in achieving high innovation performance. The study uses a large geographically distributed dataset across Boston's 35 zip code areas, which contains various business, entrepreneurial-specific, socio-economic data and other types of data that can reveal contextual urban dimensions. Furthermore, in order to express the innovation performance of the zip code areas, new metrics are proposed connected to innovation locations. The outcomes of this analysis aim to introduce a 'Neighborhood Innovation Index' that will generate new planning models for higher innovation performance, which can be easily applied in other cases. By publishing this large-scale dataset of urban informatics, the goal is to contribute to the innovation discourse and enable a new theoretical framework that identifies the linkages among cities' socio-economic characteristics and innovation performance.","PeriodicalId":129626,"journal":{"name":"Interacción","volume":"101 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132938404","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}
引用次数: 0
Two Heads are Better than One: A Bio-inspired Method for Improving Classification on EEG-ET Data 两个脑袋胜过一个脑袋:一种改进EEG-ET数据分类的生物启发方法
Interacción Pub Date : 2023-03-25 DOI: 10.48550/arXiv.2304.06471
Eric Modesitt, Ruiqi Yang, Qi Liu
{"title":"Two Heads are Better than One: A Bio-inspired Method for Improving Classification on EEG-ET Data","authors":"Eric Modesitt, Ruiqi Yang, Qi Liu","doi":"10.48550/arXiv.2304.06471","DOIUrl":"https://doi.org/10.48550/arXiv.2304.06471","url":null,"abstract":"Classifying EEG data is integral to the performance of Brain Computer Interfaces (BCI) and their applications. However, external noise often obstructs EEG data due to its biological nature and complex data collection process. Especially when dealing with classification tasks, standard EEG preprocessing approaches extract relevant events and features from the entire dataset. However, these approaches treat all relevant cognitive events equally and overlook the dynamic nature of the brain over time. In contrast, we are inspired by neuroscience studies to use a novel approach that integrates feature selection and time segmentation of EEG data. When tested on the EEGEyeNet dataset, our proposed method significantly increases the performance of Machine Learning classifiers while reducing their respective computational complexity.","PeriodicalId":129626,"journal":{"name":"Interacción","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128814005","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}
引用次数: 0
The Effect of Information Type on Human Cognitive Augmentation 信息类型对人类认知增强的影响
Interacción Pub Date : 2023-02-15 DOI: 10.48550/arXiv.2302.09069
R. Fulbright, S. McGaha
{"title":"The Effect of Information Type on Human Cognitive Augmentation","authors":"R. Fulbright, S. McGaha","doi":"10.48550/arXiv.2302.09069","DOIUrl":"https://doi.org/10.48550/arXiv.2302.09069","url":null,"abstract":"When performing a task alone, humans achieve a certain level of performance. When humans are assisted by a tool or automation to perform the same task, performance is enhanced (augmented). Recently developed cognitive systems are able to perform cognitive processing at or above the level of a human in some domains. When humans work collaboratively with such cogs in a human/cog ensemble, we expect augmentation of cognitive processing to be evident and measurable. This paper shows the degree of cognitive augmentation depends on the nature of the information the cog contributes to the ensemble. Results of an experiment are reported showing conceptual information is the most effective type of information resulting in increases in cognitive accuracy, cognitive precision, and cognitive power.","PeriodicalId":129626,"journal":{"name":"Interacción","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131253787","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}
引用次数: 1
The Effect of Perceptual Load on Performance within IDE in People with ADHD Symptoms 知觉负荷对ADHD症状患者IDE内表现的影响
Interacción Pub Date : 2023-02-13 DOI: 10.1007/978-3-031-35017-7_9
V. Kasatskii, A. Serheyuk, A. Serova, Sergey Titov, T. Bryksin
{"title":"The Effect of Perceptual Load on Performance within IDE in People with ADHD Symptoms","authors":"V. Kasatskii, A. Serheyuk, A. Serova, Sergey Titov, T. Bryksin","doi":"10.1007/978-3-031-35017-7_9","DOIUrl":"https://doi.org/10.1007/978-3-031-35017-7_9","url":null,"abstract":"","PeriodicalId":129626,"journal":{"name":"Interacción","volume":"96 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116318947","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}
引用次数: 1
A Greed(y) Training Strategy to Attract High School Girls to Undertake Studies in ICT 一项吸引高中女生学习信息和通信技术的商定培训战略
Interacción Pub Date : 2023-02-13 DOI: 10.48550/arXiv.2302.06304
T. Catarci, Barbara Polidori, Daniel Raffini, P. Velardi
{"title":"A Greed(y) Training Strategy to Attract High School Girls to Undertake Studies in ICT","authors":"T. Catarci, Barbara Polidori, Daniel Raffini, P. Velardi","doi":"10.48550/arXiv.2302.06304","DOIUrl":"https://doi.org/10.48550/arXiv.2302.06304","url":null,"abstract":"It has been observed in many studies that female students in general are unwilling to undertake a course of study in ICT. Recent literature has also pointed out that undermining the prejudices of girls with respect to these disciplines is very difficult in adolescence, suggesting that, to be effective, awareness programs on computer disciplines should be offered in pre-school or lower school age. On the other hand, even assuming that large-scale computer literacy programs can be immediately activated in lower schools and kindergartens, we can't wait for>15-20 years before we can appreciate the effectiveness of these programs. The scarcity of women in ICT has a tangible negative impact on countries' technological innovation, which requires immediate action. In this paper, we describe a strategy, and the details of a number of programs coordinated by the Engineering and Computer Science Departments at Sapienza University, to make high school girl students aware of the importance of new technologies and ICT. In addition to describing the theoretical approach, the paper offers some project examples.","PeriodicalId":129626,"journal":{"name":"Interacción","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132882396","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}
引用次数: 0
Your Favorite Gameplay Speaks Volumes about You: Predicting User Behavior and Hexad Type 你最喜欢的游戏玩法说明了你:预测用户行为和Hexad类型
Interacción Pub Date : 2023-02-11 DOI: 10.48550/arXiv.2302.05623
Reza Hadi Mogavi, Chao Deng, J. Hoffman, E. Haq, Sujit Gujar, A. Bucchiarone, Pan Hui
{"title":"Your Favorite Gameplay Speaks Volumes about You: Predicting User Behavior and Hexad Type","authors":"Reza Hadi Mogavi, Chao Deng, J. Hoffman, E. Haq, Sujit Gujar, A. Bucchiarone, Pan Hui","doi":"10.48550/arXiv.2302.05623","DOIUrl":"https://doi.org/10.48550/arXiv.2302.05623","url":null,"abstract":"In recent years, the gamification research community has widely and frequently questioned the effectiveness of one-size-fits-all gamification schemes. In consequence, personalization seems to be an important part of any successful gamification design. Personalization can be improved by understanding user behavior and Hexad player/user type. This paper comes with an original research idea: It investigates whether users' game-related data (collected via various gamer-archetype surveys) can be used to predict their behavioral characteristics and Hexad user types in non-game (but gamified) contexts. The affinity that exists between the concepts of gamification and gaming provided us with the impetus for running this exploratory research. We conducted an initial survey study with 67 Stack Exchange users (as a case study). We discovered that users' gameplay information could reveal valuable and helpful information about their behavioral characteristics and Hexad user types in a non-gaming (but gamified) environment. The results of testing three gamer archetypes (i.e., Bartle, Big Five, and BrainHex) show that they can all help predict users' most dominant Stack Exchange behavioral characteristics and Hexad user type better than a random labeler's baseline. That said, of all the gamer archetypes analyzed in this paper, BrainHex performs the best. In the end, we introduce a research agenda for future work.","PeriodicalId":129626,"journal":{"name":"Interacción","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114819145","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}
引用次数: 2
Will ChatGPT get you caught? Rethinking of Plagiarism Detection 聊天会让你被抓吗?对抄袭检测的再思考
Interacción Pub Date : 2023-02-08 DOI: 10.48550/arXiv.2302.04335
M. Khalil, Erkan Er
{"title":"Will ChatGPT get you caught? Rethinking of Plagiarism Detection","authors":"M. Khalil, Erkan Er","doi":"10.48550/arXiv.2302.04335","DOIUrl":"https://doi.org/10.48550/arXiv.2302.04335","url":null,"abstract":"The rise of Artificial Intelligence (AI) technology and its impact on education has been a topic of growing concern in recent years. The new generation AI systems such as chatbots have become more accessible on the Internet and stronger in terms of capabilities. The use of chatbots, particularly ChatGPT, for generating academic essays at schools and colleges has sparked fears among scholars. This study aims to explore the originality of contents produced by one of the most popular AI chatbots, ChatGPT. To this end, two popular plagiarism detection tools were used to evaluate the originality of 50 essays generated by ChatGPT on various topics. Our results manifest that ChatGPT has a great potential to generate sophisticated text outputs without being well caught by the plagiarism check software. In other words, ChatGPT can create content on many topics with high originality as if they were written by someone. These findings align with the recent concerns about students using chatbots for an easy shortcut to success with minimal or no effort. Moreover, ChatGPT was asked to verify if the essays were generated by itself, as an additional measure of plagiarism check, and it showed superior performance compared to the traditional plagiarism-detection tools. The paper discusses the need for institutions to consider appropriate measures to mitigate potential plagiarism issues and advise on the ongoing debate surrounding the impact of AI technology on education. Further implications are discussed in the paper.","PeriodicalId":129626,"journal":{"name":"Interacción","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126514192","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}
引用次数: 68
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