Search results for "Human-centered computing"

showing 10 items of 10 documents

A Trajectory-Driven 3D Channel Model for Human Activity Recognition

2021

This paper concerns the design, analysis, and simulation of a 3D non-stationary channel model fed with inertial measurement unit (IMU) data. The work in this paper provides a framework for simulating the micro-Doppler signatures of indoor channels for human activity recognition by using radiofrequency-based sensing technologies. The major human body segments, such as wrists, ankles, torso, and head, are modelled as a cluster of moving point scatterers. We provide expressions for the time variant (TV) speed and TV angles of motion based on 3D trajectories of the moving person. Moreover, we present mathematical expressions for the TV Doppler shifts and TV path gains associated with each movin…

Channel transfer functionGeneral Computer ScienceComputer scienceInternet of ThingsComputació centrada en humansDoppler EfecteActivity recognitionsymbols.namesakespectrogramInertial measurement unitVDP::Teknologi: 500::Medisinsk teknologi: 620Channel measurementsnon-stationary fading channelsmedicineGeneral Materials ScienceComputer visionNon-stationary fading channelsReconeixement de formes (Informàtica)channel state informationSpectrogrambusiness.industryWireless sensingGeneral Engineering:Enginyeria de la telecomunicació::Processament del senyal::Reconeixement de formes [Àrees temàtiques de la UPC]TorsoInertial measurement unitsExpression (mathematics)TK1-9971Time-variant Doppler power characteristicsmedicine.anatomical_structureChannel state informationHuman-centered computingchannel transfer functiontime-variant Doppler power characteristicsTrajectorysymbolsChannel state informationSpectrogramMicro-Doppler signature:Informàtica::Intel·ligència artificial [Àrees temàtiques de la UPC]Electrical engineering. Electronics. Nuclear engineeringArtificial intelligenceHuman activity recognitionbusinessDoppler effect
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What robots want? Hearing the inner voice of a robot.

2021

Summary The inner speech is thoroughly studied in humans, and it represents an interdisciplinary research issue involving psychology, neuroscience, and pedagogy. A few papers only, mostly theoretical, analyze the role of inner speech in robots. The present study investigates the potential of the robot's inner speech while cooperating with human partners. A cognitive architecture is designed and integrated with standard robot routines into a complex framework. Two threads of interaction are discussed by setting the robot operations with and without inner speech. Thanks to the robotic self-dialog, the partner can easily trace the robot's processes. Moreover, the robot can better solve conflic…

Robot's inner speech Cognitive architecture Human-Robot Cooperation0301 basic medicineComputer scienceCognitive NeuroscienceScience02 engineering and technologyHuman-Centered Computing03 medical and health sciencesHuman–computer interactionPsychologyTRACE (psycholinguistics)Settore ING-INF/05 - Sistemi Di Elaborazione Delle InformazioniMultidisciplinarybusiness.industryQInternal monologueRoboticsRoboticsTransparency (human–computer interaction)Cognitive architecture021001 nanoscience & nanotechnology030104 developmental biologyRobotArtificial intelligence0210 nano-technologybusinessiScience
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An Evaluation of HCI and CMC in Information Systems within Highly Crowded Large Events

2013

Pervasive systems are composed of a large variety of networked smart devices that supposedly enrich the environment they are deployed in. The access to services provided by a pervasive system should be as natural and “unconscious” as possible. In a large number of cases, the available interaction modality seems to be more oriented towards showing off technological wonders rather than to the actual usability of the interface. In this paper we evaluate and compare two different versions of an information provision system deployed in two editions of a large fair. In particular, we will focus on the Human-Computer Interaction (HCI) and Computer-Mediated-Communication (CMC) points of view. The a…

Settore ING-INF/05 - Sistemi Di Elaborazione Delle InformazioniInteractive systems engineeringUbiquitous computingbusiness.industryComputer sciencecognitive loadlarge eventsUsabilityComputer Mediated Communication (CMC)Human-centered computingHuman Computer Interaction (HCI)Social dynamicsHuman–computer interactionInformation systemComputer-mediated communicationbusinessCognitive ergonomics2013 Seventh International Conference on Complex, Intelligent, and Software Intensive Systems
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WiWeHAR: Multimodal Human Activity Recognition Using Wi-Fi and Wearable Sensing Modalities

2020

Robust and accurate human activity recognition (HAR) systems are essential to many human-centric services within active assisted living and healthcare facilities. Traditional HAR systems mostly leverage a single sensing modality (e.g., either wearable, vision, or radio frequency sensing) combined with machine learning techniques to recognize human activities. Such unimodal HAR systems do not cope well with real-time changes in the environment. To overcome this limitation, new HAR systems that incorporate multiple sensing modalities are needed. Multiple diverse sensors can provide more accurate and complete information resulting in better recognition of the performed activities. This article…

General Computer ScienceComputer scienceFeature extractionPrincipal component analysisComputació centrada en humansWearable computer02 engineering and technologyDoppler EfecteAccelerometerRadio frequency sensinglaw.inventionActivity recognitionlawInertial measurement unitMachine learning0202 electrical engineering electronic engineering information engineeringfeature fusionGeneral Materials ScienceComputer visionReconeixement de formes (Informàtica)VDP::Teknologi: 500::Informasjons- og kommunikasjonsteknologi: 550Feature fusionModality (human–computer interaction)business.industryfeature extractionSupervised learningGeneral Engineering:Enginyeria de la telecomunicació::Processament del senyal::Reconeixement de formes [Àrees temàtiques de la UPC]020206 networking & telecommunicationsGyroscopemicro-Doppler signatureDoppler effectWearable sensingmachine learningHuman-centered computingActivity recognitionFeature extractionMicro-Doppler signature020201 artificial intelligence & image processing:Informàtica::Intel·ligència artificial [Àrees temàtiques de la UPC]Artificial intelligencelcsh:Electrical engineering. Electronics. Nuclear engineeringHuman activity recognitionbusinesslcsh:TK1-9971
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Computational Rationality as a Theory of Interaction

2022

Funding Information: This work was funded by the Finnish Center for AI and Academy of Finland (“BAD” and “Human Automata”). We thank our reviewers, Xiuli Chen, Joerg Mueller, Christian Guckelsberger, Sebastiaan de Peuter, Samuel Kaski, Pierre-Alexandre Murena, Antti Keuru-lainen, Suyog Chandramouli, and Roderick Murray-Smith for their comments. Publisher Copyright: © 2022 ACM. How do people interact with computers? This fundamental question was asked by Card, Moran, and Newell in 1983 with a proposition to frame it as a question about human cognition - in other words, as a matter of how information is processed in the mind. Recently, the question has been reframed as one of adaptation: how …

sopeutuminenmallintaminenatk-laitteetreinforcement learninguser modelscognitive scienceihmisen ja tietokoneen vuorovaikutushuman-centered computinginteractionadaptationHCI theory concepts and modelstekoälyartificial intelligencekognitiotiedephilosophical/ theoretical foundations of artificial intelligenceteoriatCognitive modelingtietokoneetcomputing methodologiesindividual differencescomputational rationality
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Conceptualizing engagement in the mobile context

2016

This conceptual study answers how engagement is defined and conceptualized in the mobile service/technology context. A systematic literature review was conducted in the fields of business and human-computer interactions to achieve this objective. The 22 studies included in the final analysis are classified into two categories that distinguish the main perspectives of mobile engagement. This study demonstrates that prior research has either conceptualized mobile engagement as a behavioral activity (i.e., using or interacting with mobile service/technology) or has perceived it holistically as customer engagement that occurs in a mobile environment. Based on the analysis, it is proposed that c…

Customer engagementEngineeringKnowledge managementbusiness.industry05 social scienceshuman-centered computingConceptual model (computer science)Context (language use)ubiquitous and mobile computingMobile contextConceptual studyCognitive dimensions of notationsSystematic review0502 economics and business050211 marketingbusinessta512050203 business & managementMobile serviceProceedings of the 20th International Academic Mindtrek Conference
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MAVIE-Lab Sports: a mHealth for Injury Prevention and Risk Management in Sport

2018

International audience; Smart-phones technology and the development of mHealth (Mobile Health) applications offer an opportunity to design intervention tools to influence health behavior changes. The MAVIE-Lab is a mHealth application including a DSS (Desicion Support System) to assist in the personalized evaluation of HLIs (Home, Leisure and Sport Injuries) risk and to promote the adoption of prevention measures. MAVIE-Lab Sports will be the first module of the mobile application. The purpose of this PhD project is to improve a particular module of MAVIE-Lab, devoted to sports (MAVIE-Lab Sports), in different aspects: statistical modeling, design and ergonomics. It also aims to evaluate sy…

Process managementComputer scienceInjury030501 epidemiologyMathematics of computing[STAT.CO] Statistics [stat]/Computation [stat.CO][ INFO.INFO-LG ] Computer Science [cs]/Machine Learning [cs.LG]Bayesian networks BN03 medical and health sciences[STAT.ML]Statistics [stat]/Machine Learning [stat.ML][INFO.INFO-LG]Computer Science [cs]/Machine Learning [cs.LG][STAT.AP] Statistics [stat]/Applications [stat.AP]Personal digital assistantsInjury preventioneHealthInjury Epidemiology[STAT.CO]Statistics [stat]/Computation [stat.CO]mHealthRisk managementComputingMilieux_MISCELLANEOUS[ STAT.ML ] Statistics [stat]/Machine Learning [stat.ML][ STAT.CO ] Statistics [stat]/Computation [stat.CO][STAT.AP]Statistics [stat]/Applications [stat.AP]030505 public healthHome and leisure injuries[STAT.ME] Statistics [stat]/Methodology [stat.ME]business.industryHLIs[ STAT.AP ] Statistics [stat]/Applications [stat.AP]Human factors and ergonomicsUsability[ SDV.SPEE ] Life Sciences [q-bio]/Santé publique et épidémiologie[INFO.INFO-LG] Computer Science [cs]/Machine Learning [cs.LG]Human-centered computing[STAT.ML] Statistics [stat]/Machine Learning [stat.ML]Intervention (law)Bayesian networks[ STAT.ME ] Statistics [stat]/Methodology [stat.ME][SDV.SPEE] Life Sciences [q-bio]/Santé publique et épidémiologieHuman-centered computing[SDV.SPEE]Life Sciences [q-bio]/Santé publique et épidémiologieeHealth0305 other medical sciencebusinessAppPrediction[STAT.ME]Statistics [stat]/Methodology [stat.ME]
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A Newcomer's Guide to EICS, the Engineering Interactive Computing Systems Community

2019

[EN] Welcome to EICS, the Engineering Interactive Computing Systems community, PACMHCI/EICS journal, and annual conference! In this short article, we introduce newcomers to the field and to our community with an overview of what EICS is and how it positions with respect to other venues in Human-Computer Interaction, such as CHI, UIST, and IUI, highlighting its legacy and paying homage to past scientific events from which EICS emerged. We also take this opportunity to enumerate and exemplify scientific contributions to the field of Engineering Interactive Computing Systems, which we hope to guide researchers and practitioners towards making their future PACMHCI/EICS submissions successful an…

Interactive computingUser interfacesDesignComputer Networks and CommunicationsComputer science02 engineering and technologyInteractive systemsModel-driven EngineeringInteractive systems and toolsField (computer science)Software and its engineering0202 electrical engineering electronic engineering information engineering0501 psychology and cognitive sciencesSoftware verification and validation050107 human factorscomputer.programming_languageSoftware engineeringComputingMilieux_THECOMPUTINGPROFESSIONFormal methods05 social sciencesVerification and validation020207 software engineeringFormal methodsData scienceHuman computer interaction (HCI)Human-Computer InteractionHuman-centered computingModel-based design of user interfacesUser interfaceModel-driven architecturecomputerLENGUAJES Y SISTEMAS INFORMATICOSSocial Sciences (miscellaneous)
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The Human Context of Information Systems

2005

In its past, IS research has focused on IT and the organizations that use IT. Human issues have been studied in HCI and the Human Factor Studies of MIS. Yet recently a new wave of attention has emerged to focus more explicitly on issues rising from the human context of information systems. Studies in this area are still scattered, but there seems to exist a common paradigmatic orientation in their basic assumptions of human beings and their interaction. The end-users of information systems should be seen holistically as physical, cognitive, emotional, and social beings, whose communication is rich and uses multiple media. These views add to and improve our understanding of information and k…

Information managementCognitive scienceHuman resource management systemKnowledge managementComputer sciencebusiness.industryInformation architectureInformation technologyInformation qualityInformation mappingHuman-centered computingManagement information systemsGroup information managementInformation and Communications TechnologyPersonal information managementInformation systemInformation technology architecturebusinessProceedings of the 38th Annual Hawaii International Conference on System Sciences
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Visual Parameter Selection for Spatial Blind Source Separation.

2022

Analysis of spatial multivariate data, i.e., measurements at irregularly-spaced locations, is a challenging topic in visualization and statistics alike. Such data are inteGral to many domains, e.g., indicators of valuable minerals are measured for mine prospecting. Popular analysis methods, like PCA, often by design do not account for the spatial nature of the data. Thus they, together with their spatial variants, must be employed very carefully. Clearly, it is preferable to use methods that were specifically designed for such data, like spatial blind source separation (SBSS). However, SBSS requires two tuning parameters, which are themselves complex spatial objects. Setting these parameter…

FOS: Computer and information sciencesgeographic visualizationvisualisointiComputer Science - Human-Computer Interactionhuman-centered computingvisualisointitekniikatmuuttujatanalyysimenetelmätgeostatistiikkaComputer Graphics and Computer-Aided Designvisualization techniqueskompleksisuusHuman-Computer Interaction (cs.HC)datamaantieteellinen visualisointiComputer graphics forum : journal of the European Association for Computer Graphics
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