Info
- Utilizzare la checkbox di selezione a fianco di ciascun documento per attivare le funzionalità di stampa, invio email, download nei formati disponibili del (i) record.
Augmented Cognition : 18th International Conference, AC 2024, Held as Part of the 26th HCI International Conference, HCII 2024, Washington, DC, USA, June 29–July 4, 2024, Proceedings, Part II / / edited by Dylan D. Schmorrow, Cali M. Fidopiastis
| Augmented Cognition : 18th International Conference, AC 2024, Held as Part of the 26th HCI International Conference, HCII 2024, Washington, DC, USA, June 29–July 4, 2024, Proceedings, Part II / / edited by Dylan D. Schmorrow, Cali M. Fidopiastis |
| Autore | Schmorrow Dylan D |
| Edizione | [1st ed. 2024.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024 |
| Descrizione fisica | 1 online resource (282 pages) |
| Disciplina |
5,437
4,019 |
| Altri autori (Persone) | FidopiastisCali M |
| Collana | Lecture Notes in Artificial Intelligence |
| Soggetto topico |
User interfaces (Computer systems)
Human-computer interaction Artificial intelligence Computer networks Computers Social sciences - Data processing Image processing - Digital techniques Computer vision User Interfaces and Human Computer Interaction Artificial Intelligence Computer Communication Networks Computing Milieux Computer Application in Social and Behavioral Sciences Computer Imaging, Vision, Pattern Recognition and Graphics |
| ISBN |
9783031615726
9783031615719 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Foreword -- HCI International 2024 Thematic Areas and Affiliated Conferences -- List of Conference Proceedings Volumes Appearing Before the Conference -- Preface -- 18th International Conference on Augmented Cognition (AC 2024) -- HCI International 2025 Conference -- Contents - Part II -- Contents - Part I -- Advances in Augmented Cognition Technologies -- Advancing EEG-Based Gaze Prediction Using Depthwise Separable Convolution and Enhanced Pre-processing -- 1 Introduction -- 1.1 Research Questions -- 2 Related Work -- 3 Methods -- 4 Dataset -- 5 Results -- 6 Discussion -- 7 Conclusion -- References -- A Novel Loss Function Utilizing Wasserstein Distance to Reduce Subject-Dependent Noise for Generalizable Models in Affective Computing -- 1 Introduction -- 2 Background -- 3 Methods -- 3.1 Optimal Transport Theory -- 3.2 Models -- 3.3 Autoencoder Error Decomposition -- 3.4 Datasets -- 4 Results -- 5 Conclusion and Future Works -- References -- Enhancing Eye-Tracking Performance Through Multi-task Learning Transformer -- 1 Introduction -- 1.1 Research Questions -- 2 Related Work -- 2.1 Deep Learning for EEG Tasks -- 2.2 MTL for EEG Tasks -- 2.3 Vision Transformers (ViTs) -- 3 Methods -- 3.1 Model Architecture -- 3.2 Representation Module -- 3.3 Prediction Module -- 3.4 Reconstruction Module -- 3.5 Multi-task Learning Framework -- 4 Experiments -- 4.1 Dataset -- 4.2 Baseline Models -- 4.3 Implementation Details -- 5 Results -- 6 Discussion -- 7 Conclusion -- References -- Fusing Pretrained ViTs with TCNet for Enhanced EEG Regression -- 1 Introduction -- 2 Related Work -- 2.1 Deep Learning in EEG -- 2.2 ViTs in Non-Image Data Analysis -- 2.3 Temporal Convolutional Networks (TCNet) -- 3 Methods -- 3.1 EEGEyeNet Dataset -- 3.2 EEGViT-TCNet Model Architecture -- 3.3 Training and Evaluation Procedure -- 4 Results -- 4.1 Performance Benchmarking.
4.2 Computational Efficiency and Speed Enhancement -- 4.3 Ablation Studies -- 5 Discussion -- 6 Conclusion -- References -- Effect of Kernel Size on CNN-Vision-Transformer-Based Gaze Prediction Using Electroencephalography Data -- 1 Introduction -- 1.1 Research Question -- 2 Related Work -- 2.1 Dataset -- 2.2 State-of-the-Art -- 3 Experiment -- 3.1 Model -- 3.2 Training Parameters and Software Implementation -- 3.3 Environment Setup -- 3.4 Evaluation -- 4 Discussion -- 4.1 Limitations -- 5 Conclusion -- References -- Better Results Through Ambiguity Resolution: Large Language Models that Ask Clarifying Questions -- 1 Introduction -- 2 Background -- 2.1 Context, Ambiguity, and User Needs -- 2.2 Prior Work -- 2.3 Existing Benchmarks and Evaluation Methods -- 3 System Architecture -- 4 Methodology -- 4.1 Experiment Design -- 5 Results -- 5.1 Participant Responses -- 6 Discussion -- 7 Future Work -- Appendix: Example Prompt and Response Log -- References -- Enhancing Representation Learning of EEG Data with Masked Autoencoders -- 1 Introduction -- 2 Related Work -- 2.1 Masked Modeling in Language and Vision -- 2.2 Masked Autoencoder for EEG Data -- 2.3 EEG-Based Gaze Estimation -- 3 Methods -- 3.1 Masking Mechanism -- 3.2 Encoder Design -- 3.3 Decoder Design -- 3.4 Reconstruction Task -- 4 Experiment Setting -- 4.1 EEG Data -- 4.2 Training -- 5 Results -- 5.1 Encoder's Performance -- 5.2 Encoder's Efficiency -- 6 Discussion and Conclusion -- References -- Applications of Augmented Cognition in Various Contexts -- Small Languages and Big Models: Using ML to Generate Norwegian Language Social Media Content for Training Purposes -- 1 Introduction -- 2 Theory -- 2.1 Influence Operations -- 2.2 AI and Influence Operations -- 2.3 Fake News in Social Media -- 2.4 Intersection of Fake News and Language Models -- 2.5 Different Strategies -- 3 Methodology. 3.1 Language Model Preparation -- 3.2 Cyber-Social Media Simulator: Somulator -- 3.3 Supplementary Tests -- 4 Results -- 4.1 22 Factorial Within-Subject Design -- 4.2 Embedded Research Design -- 4.3 Group Interview -- 5 Discussion -- 5.1 Findings and Analysis -- 5.2 Further Considerations -- 6 Conclusion -- 6.1 Funding -- References -- Early Use of Augmented Cognition for Online Learning Games in Hawai'i -- 1 Introduction -- 1.1 Games, Gamification, and Serious Games -- 1.2 Internet and Game Research -- 1.3 Game Research -- 2 Hawai'i Background -- 2.1 Past Online Instruction in Hawai'i with Simulations -- 2.2 The U.S. and Hawai'i in the Present Context -- 2.3 K-12 Online Instruction in Hawai'i's K-12 Schools -- 2.4 Moving to Online Instruction During Covid-19 -- 3 Discussion -- References -- Collaborative Game: Using Explicit Biofeedback to Enhance Empathy Loop -- 1 Introduction -- 2 Materials and Methods -- 3 Goal Setting and Experiment Development -- 4 Experiment Description -- 5 Analysis of Experimental Results -- 6 Conclusion -- References -- Reflection of Individual Differences on Emotion Map for Kansei Evaluation of Packaging Design with Physiological Indexes -- 1 Introduction -- 2 Related Work -- 3 Methods -- 3.1 HRV Index -- 3.2 EEG Index -- 3.3 Visualization Steps for Emotion Map -- 3.4 Normalization Methods -- 4 Experiment -- 4.1 Experiment Overview -- 4.2 Experimental Procedure -- 5 Results -- 5.1 Comparison Evaluation Results of Physiological Indexes -- 5.2 Comparison Results of Normalization Methods for Evaluation Using Emotion Map -- 5.3 Comparison Results of SAM -- 5.4 Discussion -- 6 Conclusion -- References -- Tabletop Exercise for Ransomware Negotiations -- 1 Introduction -- 2 Preparation -- 3 Ransomware Negotiations -- 3.1 Conditions -- 3.2 Strategies -- 4 Tabletop Exercise for Ransomware Negotiations -- 4.1 Tabletop Exercise. 4.2 Concept -- 5 Conclusion -- References -- The Role of Cognition in Developing Successful Cybersecurity Training Programs - Passive vs. Active Engagement -- 1 Introduction -- 2 Cybersecurity Training -- 2.1 Limitations of Current Training Approaches -- 3 Habits -- 3.1 Habit Creation -- 4 Passive vs Active Engagement -- 4.1 Habits in Cybersecurity -- 4.2 Passive Engagement -- 4.3 Active Engagement -- 5 Practical Applicability -- 5.1 Ability -- 5.2 Motivation -- 5.3 Triggers/Cues -- 5.4 Interface Design -- 6 Conclusion -- References -- Health Informatics Associations Between Mindfulness Traits and Health Outcomes in Veterans with Chronic Multi-symptom Illness -- 1 Introduction -- 1.1 Study Summary -- 2 Materials and Methods -- 2.1 Self-report and Cognitive Measures -- 2.2 Electroencephalography (EEG) -- 2.3 Analysis -- 3 Results -- 3.1 Association Between Mindfulness and Self-reported Symptoms -- 3.2 Association Between Mindfulness and Cognitive Assessment -- 3.3 Association Between Mindfulness and EEG -- 4 Discussion -- 4.1 Dual Modes of Cognitive Control, Personality Meta-traits, and Dual Mode Mindfulness -- 4.2 Mindfulness for Veterans, Service Members and Civilians -- 4.3 Limitations -- 5 Conclusion -- References -- The AugCog of Work -- 1 Introduction -- 2 Future of Work -- 3 Education -- 4 Industry -- 5 Insight and Wisdom -- 6 Productivity -- 6.1 Automation -- 7 Current Directions -- 8 Conclusion -- References -- Distance-Based Lifestyle Medicine for Veterans with Chronic Multi-symptom Illness (CMI): Health Coaching as Behavioral Health Intervention for Clinical Adherence -- 1 Introduction -- 1.1 Whole Health for Veterans: Health Coaching for Complex Illness Care -- 1.2 Chronic Multisymptom Illness (CMI) -- 1.3 Barriers to Care -- 2 Method -- 2.1 Participants -- 2.2 Telehealth -- 2.3 WRIISC Health Coaching Intervention. 2.4 Statistical Analysis -- 3 Results -- 3.1 Demographics -- 3.2 Mid-Intervention Evaluation -- 3.3 Immediate Post-intervention Evaluation -- 4 Discussion -- 4.1 Study Limitations and Future Directions -- 4.2 Conclusions -- References -- What Works Well? A Safety-II Approach to Cybersecurity -- 1 The Way of Working in the Cybersecurity Domain -- 2 From 'What Goes Wrong' to 'What Goes Right': Lessons from Safety Science -- 3 Putting Incidents Centre Stage: A Model for Cybersecurity in Organisations -- 4 Using the PPDRG Model to Get an Understanding of What Goes Right -- 5 Prevention from a Safety-II Perspective -- 5.1 Phishing -- 5.2 Screen Locking and Clean Desk Policy -- 6 Detection from a Safety-II Perspective -- 7 Preparedness and Response from a Safety-II Perspective -- 8 A Research Agenda for What Goes Right in Cybersecurity -- 8.1 End-Users -- 8.2 Teams -- 8.3 Organisations -- 9 Conclusion -- References -- Author Index. |
| Record Nr. | UNINA-9910865254303321 |
Schmorrow Dylan D
|
||
| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Augmented Cognition : 18th International Conference, AC 2024, Held as Part of the 26th HCI International Conference, HCII 2024, Washington, DC, USA, June 29–July 4, 2024, Proceedings, Part I / / edited by Dylan D. Schmorrow, Cali M. Fidopiastis
| Augmented Cognition : 18th International Conference, AC 2024, Held as Part of the 26th HCI International Conference, HCII 2024, Washington, DC, USA, June 29–July 4, 2024, Proceedings, Part I / / edited by Dylan D. Schmorrow, Cali M. Fidopiastis |
| Autore | Schmorrow Dylan D |
| Edizione | [1st ed. 2024.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024 |
| Descrizione fisica | 1 online resource (271 pages) |
| Disciplina |
005.437
004.019 |
| Altri autori (Persone) | FidopiastisCali M |
| Collana | Lecture Notes in Artificial Intelligence |
| Soggetto topico |
User interfaces (Computer systems)
Human-computer interaction Artificial intelligence Computer networks Computers Social sciences - Data processing Image processing - Digital techniques Computer vision User Interfaces and Human Computer Interaction Artificial Intelligence Computer Communication Networks Computing Milieux Computer Application in Social and Behavioral Sciences Computer Imaging, Vision, Pattern Recognition and Graphics |
| ISBN |
9783031615696
9783031615689 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Foreword -- HCI International 2024 Thematic Areas and Affiliated Conferences -- List of Conference Proceedings Volumes Appearing Before the Conference -- Preface -- 18th International Conference on Augmented Cognition (AC 2024) -- HCI International 2025 Conference -- Contents - Part I -- Contents - Part II -- Understanding Cognitive Processes and Human Performance -- Not All Victims Are Created Equal: Investigating Differential Phishing Susceptibility -- 1 Introduction -- 1.1 Differing Patterns of Phishing Susceptibility -- 1.2 Working to Unravel the Mystery of Repeat Clickers -- 1.3 Research Questions -- 1.4 Human Phishing Detection Difficulty Using the NIST Phish Scale -- 2 Methods -- 2.1 Participants -- 2.2 Study Protocol -- 2.3 Questionnaires -- 2.4 Email Detection Difficulty -- 2.5 Data Analysis -- 3 Results -- 3.1 Individual Differences, RQ1 -- 3.2 Social Engineering Tactics, RQ2 -- 3.3 Contextual Factors, RQ3 -- 4 Discussion -- 4.1 Individual Differences, RQ1 -- 4.2 Social Engineering Tactics, RQ2 -- 4.3 Contextual Factors, RQ3 -- 4.4 The NIST Phish Scale and Training Implications -- 5 Conclusion -- 6 Disclaimer -- References -- Impostor Syndrome in Final Year Computer Science Students: An Eye Tracking and Biometrics Study -- 1 Introduction -- 1.1 Goal and Research Questions -- 1.2 Contribution -- 1.3 Paper Structure -- 2 Related Work -- 3 Study Design -- 3.1 Survey Design -- 3.2 Code Snippets -- 3.3 Eye Tracker and Biometric Device -- 3.4 Data Preprocessing -- 3.5 Participants -- 3.6 Pilot Study -- 4 Results -- 4.1 RQ 1: To what extent are final-year undergraduate computer science students confident in their program comprehension skills? -- 4.2 RQ 2: How Does Imposter Syndrome Affect the Cognitive Processes Involved in Comprehending Code? -- 5 Threats to Validity -- 6 Conclusion and Future Work -- References.
Can Neurofeedback Training Decrease Cognitive Bias? An Exploratory Analysis -- 1 Introduction -- 1.1 The Iowa Gambling Task and the Win-Stay/Lose-Shift Strategy -- 1.2 Birkbeck EEG Neurofeedback and Neurophenomenology (BENN) Study -- 2 Methods -- 2.1 Participants -- 2.2 Design -- 2.3 Materials and Procedure -- 2.4 Data Integrity -- 2.5 Data Processing -- 2.6 Data Analysis Strategy -- 3 Results -- 3.1 Iowa Gambling Task Performance -- 3.2 EEG Profiles -- 3.3 Covariation Between EEG Frequency Band Power and IGT-Variables -- 4 Discussion -- References -- Deciphering Emotional Responses to Music: A Fusion of Psychophysiological Data Analysis and LSTM Predictive Modeling -- 1 Introduction -- 2 Literature Review -- 3 Methodology -- 3.1 Emotion in Motion Platform -- 3.2 Physiological Responses Analysis -- 3.3 Model to Predict Emotional Attributes -- 4 Evaluation and Results -- 5 Conclusion -- References -- The Influence of Educational and Entertainment Videos on Children's Frontal EEG Activity: A Case Study -- 1 Introduction -- 2 Methodology and Procedure -- 2.1 Procedure -- 2.2 Protocol -- 3 Results and Discussion -- 4 Conclusions and Further Work -- References -- A Comparative Study of High and Low Performing Students' Visual Effort and Attention When Identifying Syntax Errors -- 1 Introduction -- 2 Method -- 2.1 Participants -- 2.2 Stimuli -- 2.3 Experimental Setup and Procedure -- 2.4 Comprehension Task and Evaluation -- 2.5 Sources of Data -- 2.6 Data Pre-processing -- 2.7 Eye-Tracking Metrics -- 2.8 Data Analysis -- 3 Results -- 3.1 Compiler Error Messages for a Literal Syntax Error -- 3.2 Compiler Error Messages for a Non-literal Syntax Error -- 3.3 Error Lines with a Literal Syntax Error -- 3.4 Error Lines with a Non-literal Syntax Error -- 3.5 Literal Syntax Error -- 3.6 Non-literal Syntax Error -- 3.7 Literal vs. Non-literal Syntax Errors. 4 Discussion -- 5 Conclusion -- References -- Mapping Signaling Mechanisms in Neurotoxic Injury from Sparsely Sampled Data Using a Constraint Satisfaction Framework -- 1 Introduction -- 2 Methods -- 2.1 A Small Set of Animal Experiments -- 2.2 Phosphoproteomic Profiling of Hippocampus and PFC -- 2.3 Identification of a Phosphoproteomic Regulatory Network in Brain -- 2.4 Mapping Regulatory Traps and Escape Trajectories -- 3 Results -- 3.1 Plausible Regulatory Response Networks -- 3.2 Predicting Persistent Illness as a Regulatory Trap -- 3.3 Predicted Rescue Strategies -- 4 Discussion -- References -- An Integrative Assessment of Cognitive-Motor Processes Underlying Mental Workload and Performance Under Varying Levels of Controllability -- 1 Introduction -- 2 Methods -- 2.1 Description of Task -- 2.2 Procedure -- 3 Signal Processing -- 3.1 Performance Scoring Criteria -- 3.2 Statistical Analysis -- 4 Results -- 4.1 Bedford Workload Scale -- 4.2 NASA-TLX Overall Workload -- 4.3 Ratio -- 4.4 Performance -- 5 Discussion -- References -- Advancing Cognitive Abilities and Performance with Augmented Tools -- Does Using ChatGPT Result in Human Cognitive Augmentation? -- 1 Introduction -- 2 Previous Work -- 2.1 Cognitive Systems -- 2.2 Cognitive Augmentation -- 2.3 ChatGPT and Cognitive Augmentation -- 3 The Experiments -- 3.1 Innovation Challenge -- 3.2 Retirement Decision -- 4 The Results -- 4.1 Innovation Challenge Results -- 4.2 Retirement Decision Results -- 5 Conclusion -- References -- Assessment of a Novel Virtual Environment for Examining Cognitive-Motor Processes During Execution of Action Sequences in a Human-Robot Teaming Context -- 1 Introduction -- 2 Material and Methods -- 2.1 The Virtual Environment -- 2.2 Experimental Evaluation -- 3 Results -- 3.1 Usability -- 3.2 Workload -- 3.3 Human Performance Alone and Human-Robot Team Performance. 3.4 Human Perception of the Humanoid Robotic Teammate -- 4 Discussion -- 4.1 Usability and Workload When Individuals Perform Alone and with the Robotic Teammate -- 4.2 Effects of Robotic Teammate on Performance, Human Workload and Perception -- 4.3 Conclusions, Limitations, and Future Work -- References -- Measuring Cognitive Workload in Augmented Reality Learning Environments Through Pupil Area Analysis -- 1 Introduction -- 2 Literature Review -- 3 Methodology -- 3.1 Experimental Design -- 3.2 Data Analysis for Pupil Eye Tracking -- 4 Results -- 4.1 Pupil Dilation Analysis -- 4.2 Relation Between Pupil Dilation and Mental Demand -- 5 Discussion -- 6 Conclusion -- References -- Human Performance in Vehicle Recognition with Visual and Infrared Images from Unmanned Aerial Vehicle -- 1 Introduction -- 2 Experiment 1 - Visual Images -- 2.1 Method -- 2.2 Results -- 3 Experiment 2 - Infrared Images -- 3.1 Method -- 3.2 Results -- 4 Discussion -- 4.1 Limitations and Further Research -- 4.2 Conclusion -- References -- A Mixed-Methods Approach for the Evaluation of Situational Awareness and User Experience with Augmented Reality Technologies -- 1 Introduction -- 2 Background and Related Work -- 3 Methodology -- 3.1 XR Simulation -- 3.2 Scenario-Based Trials -- 4 The DARLENE System Evaluation: Applying the Evaluation Protocol -- 5 Results -- 5.1 Perceived Situational Awareness -- 5.2 Observed Situational Awareness -- 5.3 Workload -- 5.4 User Experience -- 5.5 DARLENE Acceptance -- 5.6 Equipment Wearability -- 5.7 Qualitative Feedback -- 5.8 Results from the Hands-On Evaluation -- 6 Discussion and Lessons Learned -- 7 Conclusions -- References -- Enhancing Cognition Through Cooperative Learning and Augmented Mentorship -- 1 Introduction -- 1.1 Cybersecurity Education -- 2 Exploratory Analytics -- 2.1 Setting and Participants -- 2.2 Project Tasks -- 2.3 Analysis. 3 Results -- 3.1 How Does Students' Time on Task Influence Their Ability to Accomplish Assignments? -- 4 External and Internal Content Study -- 4.1 Background -- 4.2 What Types of Approaches are Best Aligned with Performance? -- 4.3 How Can Student Differences Influence Security Education Design? -- 5 Discussion -- 5.1 Conclusions and Future Directions -- References -- Digital Twins and Extended Reality for Tailoring Better Adapted Cybersecurity Trainings in Critical Infrastructures -- 1 Introduction -- 2 The State of Cybersecurity Training -- 2.1 The Context of Operational Technology -- 2.2 Current Approaches to Cybersecurity Training -- 2.3 Cybersecurity Training and Human Factors -- 3 Extended Reality and the Digital Twin -- 3.1 Extended Reality -- 3.2 Digital Twins -- 3.3 A Combined Use -- 4 Human-Centered Trainings -- 4.1 Replicable Features -- 4.2 Enhanced and Facilitated Human Factors -- 5 Discussion -- 5.1 Ethical Concerns -- 6 Future Work Directions -- 7 Conclusion -- References -- Author Index. |
| Record Nr. | UNINA-9910865246903321 |
|
Schmorrow Dylan D
|
||
| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Augmented Cognition [[electronic resource] ] : 17th International Conference, AC 2023, Held as Part of the 25th HCI International Conference, HCII 2023, Copenhagen, Denmark, July 23–28, 2023, Proceedings / / edited by Dylan D. Schmorrow, Cali M. Fidopiastis
| Augmented Cognition [[electronic resource] ] : 17th International Conference, AC 2023, Held as Part of the 25th HCI International Conference, HCII 2023, Copenhagen, Denmark, July 23–28, 2023, Proceedings / / edited by Dylan D. Schmorrow, Cali M. Fidopiastis |
| Autore | Schmorrow Dylan D |
| Edizione | [1st ed. 2023.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023 |
| Descrizione fisica | 1 online resource (502 pages) |
| Disciplina |
005.437
004.019 |
| Altri autori (Persone) | FidopiastisCali M |
| Collana | Lecture Notes in Artificial Intelligence |
| Soggetto topico |
User interfaces (Computer systems)
Human-computer interaction User Interfaces and Human Computer Interaction |
| ISBN | 3-031-35017-0 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Brain-Computer Interfaces and Neurotechnolgy -- Neuroergonomics, Physiological Measurement, and Human Performance -- Augmented Cognition: Evolving Theory and Practice -- Augmented and Virtual Reality for Augmented Cognition -- Understanding Human Cognition and Performance in IT Security. |
| Record Nr. | UNISA-996542670803316 |
|
Schmorrow Dylan D
|
||
| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Augmented Cognition : 17th International Conference, AC 2023, Held as Part of the 25th HCI International Conference, HCII 2023, Copenhagen, Denmark, July 23–28, 2023, Proceedings / / edited by Dylan D. Schmorrow, Cali M. Fidopiastis
| Augmented Cognition : 17th International Conference, AC 2023, Held as Part of the 25th HCI International Conference, HCII 2023, Copenhagen, Denmark, July 23–28, 2023, Proceedings / / edited by Dylan D. Schmorrow, Cali M. Fidopiastis |
| Autore | Schmorrow Dylan D |
| Edizione | [1st ed. 2023.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023 |
| Descrizione fisica | 1 online resource (502 pages) |
| Disciplina |
005.437
004.019 006.3 |
| Altri autori (Persone) | FidopiastisCali M |
| Collana | Lecture Notes in Artificial Intelligence |
| Soggetto topico |
User interfaces (Computer systems)
Human-computer interaction User Interfaces and Human Computer Interaction |
| ISBN | 3-031-35017-0 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Brain-Computer Interfaces and Neurotechnolgy -- Neuroergonomics, Physiological Measurement, and Human Performance -- Augmented Cognition: Evolving Theory and Practice -- Augmented and Virtual Reality for Augmented Cognition -- Understanding Human Cognition and Performance in IT Security. |
| Record Nr. | UNINA-9910734880803321 |
|
Schmorrow Dylan D
|
||
| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||