Ella Peltonen, Nitinder Mohan, Peter Zdankin, Tanya Shreedhar, Tri Nguyen, Suzan Bayhan, Jon Crowcroft, Jussi Kangasharju, Daniela Nicklas
{"title":"Perspectives on Negative Research Results in Pervasive Computing","authors":"Ella Peltonen, Nitinder Mohan, Peter Zdankin, Tanya Shreedhar, Tri Nguyen, Suzan Bayhan, Jon Crowcroft, Jussi Kangasharju, Daniela Nicklas","doi":"10.1109/mprv.2023.3273718","DOIUrl":"https://doi.org/10.1109/mprv.2023.3273718","url":null,"abstract":"Not all research leads to fruitful results; trying new ways or methods may surpass state of the art, but sometimes the hypothesis is not proven, the improvement is insignificant, or the system fails because of a design error done years ago in previous works. In a systems discipline like pervasive computing, there are many sources of errors, from hardware issues over communication channels to heterogeneous software environments. However, failure to succeed is not a failure to progress. It is essential to create platforms for sharing insights, experiences, and lessons learned when conducting research in pervasive computing so that the same mistakes are not repeated. And sometimes, a problem is a symptom of discovering new research challenges. Based on the collective input of the First International Workshop on Negative Results in Pervasive Computing (PerFail 2022), co-located with the 20th International Conference on Pervasive Computing and Communications (PerCom 2022), this article presents a comprehensive discussion on perspectives on publishing negative results, useful failures, and lessons learned in pervasive computing.","PeriodicalId":55021,"journal":{"name":"IEEE Pervasive Computing","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135210578","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
James Archer, Ifigeneia Mavridou, Simon Stankoski, M. John Broulidakis, Andrew Cleal, Piotr Walas, Mohsen Fatoorechi, Hristijan Gjoreski, Charles Nduka
{"title":"OCOsense<sup>TM</sup> Smart Glasses for Analyzing Facial Expressions Using Optomyographic Sensors","authors":"James Archer, Ifigeneia Mavridou, Simon Stankoski, M. John Broulidakis, Andrew Cleal, Piotr Walas, Mohsen Fatoorechi, Hristijan Gjoreski, Charles Nduka","doi":"10.1109/mprv.2023.3276471","DOIUrl":"https://doi.org/10.1109/mprv.2023.3276471","url":null,"abstract":"This article introduces the Emteq's OCOsense <sup xmlns:mml=\"http://www.w3.org/1998/Math/MathML\" xmlns:xlink=\"http://www.w3.org/1999/xlink\">TM</sup> smart glasses equipped with a novel noncontact OCO <sup xmlns:mml=\"http://www.w3.org/1998/Math/MathML\" xmlns:xlink=\"http://www.w3.org/1999/xlink\">TM</sup> sensor technology for measuring facial muscle activation and expressions based on high-resolution tracking of skin movement. We demonstrate that the OCO <sup xmlns:mml=\"http://www.w3.org/1998/Math/MathML\" xmlns:xlink=\"http://www.w3.org/1999/xlink\">TM</sup> sensor technology based on optomyography is a sensitive and accurate approach for assessing skin movement in three dimensions, providing a means for measuring the facial expressions used to assess emotional valence such as smile, frown, and eyebrow raise. We propose that glasses-based optomyography sensing has the potential to herald a paradigm shift in real-world facial expression monitoring, thus enabling real-time emotional analytics with healthcare and research applications.","PeriodicalId":55021,"journal":{"name":"IEEE Pervasive Computing","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136185124","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"IEEE Computer Society Career Center","authors":"","doi":"10.1109/mprv.2023.3295626","DOIUrl":"https://doi.org/10.1109/mprv.2023.3295626","url":null,"abstract":"","PeriodicalId":55021,"journal":{"name":"IEEE Pervasive Computing","volume":"53 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135851967","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Over the Rainbow: 21st Century Security & Privacy Podcast","authors":"","doi":"10.1109/mprv.2023.3316911","DOIUrl":"https://doi.org/10.1109/mprv.2023.3316911","url":null,"abstract":"","PeriodicalId":55021,"journal":{"name":"IEEE Pervasive Computing","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135851961","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"IEEE Computer Society Has You Covered!","authors":"","doi":"10.1109/mprv.2023.3315116","DOIUrl":"https://doi.org/10.1109/mprv.2023.3315116","url":null,"abstract":"","PeriodicalId":55021,"journal":{"name":"IEEE Pervasive Computing","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135851964","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Clement Guitton, Aurelia Tamò-Larrieux, Simon Mayer, Kevin Ashley, Matthias Grabmair, Galileo Sartor, Giovanni Sartor, Gijs van Dijck
{"title":"Pervasive Computational Law","authors":"Clement Guitton, Aurelia Tamò-Larrieux, Simon Mayer, Kevin Ashley, Matthias Grabmair, Galileo Sartor, Giovanni Sartor, Gijs van Dijck","doi":"10.1109/mprv.2023.3254959","DOIUrl":"https://doi.org/10.1109/mprv.2023.3254959","url":null,"abstract":"Computational law has its limits—whether these come from the very nature of the law itself or from technical limitations. By reviewing these limits, two conclusions become clear: That interdisciplinary solutions are a must, and that only a subset of law should be turned into automatically processable regulation.","PeriodicalId":55021,"journal":{"name":"IEEE Pervasive Computing","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135852420","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Generative AI and the Call for Brevity","authors":"Fahim Kawsar","doi":"10.1109/mprv.2023.3310748","DOIUrl":"https://doi.org/10.1109/mprv.2023.3310748","url":null,"abstract":"Academic publishing is at a pivotal juncture. Generative AI models have fundamentally transformed the way we create, consume, and disseminate information. With the capability to produce expansive text in real time, these models demonstrate their potential to distil complex data into concise, digestible formats. Consequently, the traditional long-format academic paper seems increasingly outdated and, in some cases, redundant.","PeriodicalId":55021,"journal":{"name":"IEEE Pervasive Computing","volume":"120 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135851968","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}