Pub Date : 2023-10-01DOI: 10.1109/mprv.2023.3308014
Theofanis P. Raptis, Luca Bedogni
Crowd charging represents an alternative peer-to-peer energy replenishment option for mobile users to align with the circular economy paradigm. Following this option, users bound by finite resource capacity utilize the energy from external to the crowd wireless or wired energy sources (such as shared chargers), and internal to the crowd energy sources (such as mobile devices, via wireless power transfer). If designed carefully, such utilization can boost the energy availability of users and provide energy ubiquitously to their devices for making them functional for longer. This article proposes the GreenCrowd framework, introducing a privacy-by-design in the digital domain crowd charging process, the architecture of which incorporates multiple crowd-* components, such as online social information exploitation, algorithmic battery aging mitigation, user reward mechanisms, and advanced decision making. The primary aim of article is to present the technological and applicative requirements and constraints of GreenCrowd, and provide practical evidence on its feasibility.
{"title":"GreenCrowd: Toward a Holistic Algorithmic Crowd Charging Framework","authors":"Theofanis P. Raptis, Luca Bedogni","doi":"10.1109/mprv.2023.3308014","DOIUrl":"https://doi.org/10.1109/mprv.2023.3308014","url":null,"abstract":"Crowd charging represents an alternative peer-to-peer energy replenishment option for mobile users to align with the circular economy paradigm. Following this option, users bound by finite resource capacity utilize the energy from external to the crowd wireless or wired energy sources (such as shared chargers), and internal to the crowd energy sources (such as mobile devices, via wireless power transfer). If designed carefully, such utilization can boost the energy availability of users and provide energy ubiquitously to their devices for making them functional for longer. This article proposes the GreenCrowd framework, introducing a privacy-by-design in the digital domain crowd charging process, the architecture of which incorporates multiple crowd-* components, such as online social information exploitation, algorithmic battery aging mitigation, user reward mechanisms, and advanced decision making. The primary aim of article is to present the technological and applicative requirements and constraints of GreenCrowd, and provide practical evidence on its feasibility.","PeriodicalId":55021,"journal":{"name":"IEEE Pervasive Computing","volume":"1 1","pages":"58-65"},"PeriodicalIF":1.6,"publicationDate":"2023-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"62477988","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}
Pub Date : 2023-10-01DOI: 10.1109/mprv.2023.3296271
Shameek Bhattacharjee, Sajal K. Das
This article proposes a unified threat landscape for participatory crowd sensing (P-CS) systems. Specifically, it focuses on attacks from organized malicious actors that may use the knowledge of P-CS platform’s operations and exploit algorithmic weaknesses in AI-based methods of event trust, user reputation, decision-making, or recommendation models deployed to preserve information integrity in P-CS. We emphasize on intent driven malicious behaviors by advanced adversaries and how attacks are crafted to achieve those attack impacts. Three directions of the threat model are introduced, such as attack goals, types, and strategies. We expand on how various strategies are linked with different attack types and goals, underscoring formal definition, their relevance, and impact on the P-CS platform.
{"title":"Unifying Threats Against Information Integrity in Participatory Crowd Sensing","authors":"Shameek Bhattacharjee, Sajal K. Das","doi":"10.1109/mprv.2023.3296271","DOIUrl":"https://doi.org/10.1109/mprv.2023.3296271","url":null,"abstract":"This article proposes a unified threat landscape for participatory crowd sensing (P-CS) systems. Specifically, it focuses on attacks from organized malicious actors that may use the knowledge of P-CS platform’s operations and exploit algorithmic weaknesses in AI-based methods of event trust, user reputation, decision-making, or recommendation models deployed to preserve information integrity in P-CS. We emphasize on intent driven malicious behaviors by advanced adversaries and how attacks are crafted to achieve those attack impacts. Three directions of the threat model are introduced, such as attack goals, types, and strategies. We expand on how various strategies are linked with different attack types and goals, underscoring formal definition, their relevance, and impact on the P-CS platform.","PeriodicalId":55021,"journal":{"name":"IEEE Pervasive Computing","volume":"1 1","pages":"66-75"},"PeriodicalIF":1.6,"publicationDate":"2023-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"62477926","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}
Pub Date : 2023-07-01DOI: 10.1109/mprv.2023.3296010
Sarah Clinch, Jamie A. Ward
With the advent of new wearables, novel sensing modalities, and portable neuroimaging technologies, we're presented with new opportunities to enhance human cognition. New systems in a range of form factors can help us direct and optimise our natural function, expand the capacity or velocity of that function, and extend their capabilities. In this special issue, the three featured articles illustrate how pervasive technologies are being applied to cognition, from critical thinking to affect recognition to use of music for theraputic and wellbeing purposes.
{"title":"Augmented Cognition","authors":"Sarah Clinch, Jamie A. Ward","doi":"10.1109/mprv.2023.3296010","DOIUrl":"https://doi.org/10.1109/mprv.2023.3296010","url":null,"abstract":"With the advent of new wearables, novel sensing modalities, and portable neuroimaging technologies, we're presented with new opportunities to enhance human cognition. New systems in a range of form factors can help us direct and optimise our natural function, expand the capacity or velocity of that function, and extend their capabilities. In this special issue, the three featured articles illustrate how pervasive technologies are being applied to cognition, from critical thinking to affect recognition to use of music for theraputic and wellbeing purposes.","PeriodicalId":55021,"journal":{"name":"IEEE Pervasive Computing","volume":"113 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":"135852428","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}
Pub Date : 2023-07-01DOI: 10.1109/mprv.2023.3282819
Tom Hargreaves, Vinicius J. Pereira
Whilst the uses and potential benefits of AI-enabled technologies are expanding, there is also increased recognition of their potential downsides. This short comment critiques approaches to AI-enabled technologies based around ‘calm computing’ for rendering both users and the technologies themselves as passive and thus doing little to challenge the unsustainable status quo. It highlights some recent efforts to develop more proactive forms of AI but argues that, whilst these may lend more agency to technologies, they do little to increase the agency of users or engage them in thinking more critically about the nature of contemporary inequalities and unsustainabilities. To move beyond this situation, it calls for new forms of experimentation around what might be termed “Provocative AI” technologies. Drawing on emerging speculative examples relating to gender inequality, energy, and surveillance, it suggests that, instead of minimising or solving problems for users, Provocative AI could instead work to create more actively engaged citizens by promoting deeper reflection on the nature of contemporary societal problems.
{"title":"Provocative AI: Beyond Calm Interactions","authors":"Tom Hargreaves, Vinicius J. Pereira","doi":"10.1109/mprv.2023.3282819","DOIUrl":"https://doi.org/10.1109/mprv.2023.3282819","url":null,"abstract":"Whilst the uses and potential benefits of AI-enabled technologies are expanding, there is also increased recognition of their potential downsides. This short comment critiques approaches to AI-enabled technologies based around ‘calm computing’ for rendering both users and the technologies themselves as passive and thus doing little to challenge the unsustainable status quo. It highlights some recent efforts to develop more proactive forms of AI but argues that, whilst these may lend more agency to technologies, they do little to increase the agency of users or engage them in thinking more critically about the nature of contemporary inequalities and unsustainabilities. To move beyond this situation, it calls for new forms of experimentation around what might be termed “Provocative AI” technologies. Drawing on emerging speculative examples relating to gender inequality, energy, and surveillance, it suggests that, instead of minimising or solving problems for users, Provocative AI could instead work to create more actively engaged citizens by promoting deeper reflection on the nature of contemporary societal problems.","PeriodicalId":55021,"journal":{"name":"IEEE Pervasive Computing","volume":"62 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":"135852430","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}
Pub Date : 2023-07-01DOI: 10.1109/mprv.2023.3282818
Andrew L. Kun, Orit Shaer
How can we make conferences inclusive hybrid events that support training and education? We explore this question through the lens of experiences that we gained by organizing a small hybrid conference. We identify lessons learned, focusing on (1) technical and non-technical support mechanisms for diverse in-person and online participants, (2) exploring new approaches for conference programming, and (3) technical requirements for engaging hybrid events.
{"title":"Designing an Inclusive and Engaging Hybrid Event: Experiences From CHIWORK","authors":"Andrew L. Kun, Orit Shaer","doi":"10.1109/mprv.2023.3282818","DOIUrl":"https://doi.org/10.1109/mprv.2023.3282818","url":null,"abstract":"How can we make conferences inclusive hybrid events that support training and education? We explore this question through the lens of experiences that we gained by organizing a small hybrid conference. We identify lessons learned, focusing on (1) technical and non-technical support mechanisms for diverse in-person and online participants, (2) exploring new approaches for conference programming, and (3) technical requirements for engaging hybrid events.","PeriodicalId":55021,"journal":{"name":"IEEE Pervasive Computing","volume":"10 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":"135852431","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}
Pub Date : 2023-07-01DOI: 10.1109/MPRV.2023.3285087
Nicole Lai-Tan, M. Philiastides, F. Kawsar, F. Deligianni
Music therapy has emerged recently as a successful intervention that improves patient outcomes in a large range of neurological and mood disorders without adverse effects. Brain networks are entrained to music in ways that can be explained both via top-down and bottom-up processes. In particular, the direct interaction of auditory with the motor and the reward system via a predictive framework explains the efficacy of music-based interventions in motor rehabilitation. In this article, we provide a brief overview of current theories of music perception and processing. Subsequently, we summarize the evidence of music-based interventions primarily in motor, emotional, and cardiovascular regulation. We highlight opportunities to improve the quality of life and reduce the stress beyond the clinic environment and in healthy individuals. This relatively unexplored area requires an understanding of how we can personalize and automate music selection processes to fit individual needs and tasks via feedback loops mediated by measurements of neurophysiological responses.
{"title":"Toward Personalized Music-Therapy: A Neurocomputational Modeling Perspective","authors":"Nicole Lai-Tan, M. Philiastides, F. Kawsar, F. Deligianni","doi":"10.1109/MPRV.2023.3285087","DOIUrl":"https://doi.org/10.1109/MPRV.2023.3285087","url":null,"abstract":"Music therapy has emerged recently as a successful intervention that improves patient outcomes in a large range of neurological and mood disorders without adverse effects. Brain networks are entrained to music in ways that can be explained both via top-down and bottom-up processes. In particular, the direct interaction of auditory with the motor and the reward system via a predictive framework explains the efficacy of music-based interventions in motor rehabilitation. In this article, we provide a brief overview of current theories of music perception and processing. Subsequently, we summarize the evidence of music-based interventions primarily in motor, emotional, and cardiovascular regulation. We highlight opportunities to improve the quality of life and reduce the stress beyond the clinic environment and in healthy individuals. This relatively unexplored area requires an understanding of how we can personalize and automate music selection processes to fit individual needs and tasks via feedback loops mediated by measurements of neurophysiological responses.","PeriodicalId":55021,"journal":{"name":"IEEE Pervasive Computing","volume":"22 1","pages":"27-37"},"PeriodicalIF":1.6,"publicationDate":"2023-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43378674","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}
Pub Date : 2023-07-01DOI: 10.1109/MPRV.2023.3275514
Nattapat Boonprakong, Benjamin Tag, Tilman Dingler
Algorithms increasingly curate the information we see online, prioritizing attention and engagement. By catering to personal preferences, they confirm existing opinions and reinforce cognitive biases. When it comes to polarizing topics such as climate change or abortion rights, the combination of algorithmic information curation and cognitive biases can easily skew our perception and, thus, undermine our critical thinking abilities while creating a thriving ground for misinformation. To curb the spread of misinformation, a research agenda is needed around the interplay between cognitive biases, computing systems, and online platform design. In this article, we synthesize insights from a workshop series, propose a research agenda, and sketch out a blueprint for technologies to support critical thinking through the lens of human–computer interaction and design. We discuss the affordances of online media and how they could prioritize teaching users how to spot misinformation better and conduct themselves in online environments.
{"title":"Designing Technologies to Support Critical Thinking in an Age of Misinformation","authors":"Nattapat Boonprakong, Benjamin Tag, Tilman Dingler","doi":"10.1109/MPRV.2023.3275514","DOIUrl":"https://doi.org/10.1109/MPRV.2023.3275514","url":null,"abstract":"Algorithms increasingly curate the information we see online, prioritizing attention and engagement. By catering to personal preferences, they confirm existing opinions and reinforce cognitive biases. When it comes to polarizing topics such as climate change or abortion rights, the combination of algorithmic information curation and cognitive biases can easily skew our perception and, thus, undermine our critical thinking abilities while creating a thriving ground for misinformation. To curb the spread of misinformation, a research agenda is needed around the interplay between cognitive biases, computing systems, and online platform design. In this article, we synthesize insights from a workshop series, propose a research agenda, and sketch out a blueprint for technologies to support critical thinking through the lens of human–computer interaction and design. We discuss the affordances of online media and how they could prioritize teaching users how to spot misinformation better and conduct themselves in online environments.","PeriodicalId":55021,"journal":{"name":"IEEE Pervasive Computing","volume":"22 1","pages":"8-17"},"PeriodicalIF":1.6,"publicationDate":"2023-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45142890","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}
Pub Date : 2023-07-01DOI: 10.1109/mprv.2023.3273718
Ella Peltonen, Nitinder Mohan, Peter Zdankin, Tanya Shreedhar, Tri Nguyen, Suzan Bayhan, Jon Crowcroft, Jussi Kangasharju, Daniela Nicklas
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.
{"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}
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