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Namrata Srivastava
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Combining low and mid-level gaze features for desktop activity recognition
N Srivastava, J Newn, E Velloso
Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous …, 2018
422018
Effects of internal and external conditions on strategies of self-regulated learning: A learning analytics study
N Srivastava, Y Fan, M Rakovic, S Singh, J Jovanovic, J Van Der Graaf, ...
LAK22: 12th international learning analytics and knowledge conference, 392-403, 2022
282022
Continuous evaluation of video lectures from real-time difficulty self-report
N Srivastava, E Velloso, JM Lodge, S Erfani, J Bailey
Proceedings of the 2019 CHI conference on Human factors in computing systems …, 2019
252019
Are you with me? Measurement of learners’ video-watching attention with eye tracking
N Srivastava, S Nawaz, J Newn, J Lodge, E Velloso, S M. Erfani, ...
LAK21: 11th international learning analytics and knowledge conference, 88-98, 2021
232021
Faces of focus: A study on the facial cues of attentional states
E Babaei, N Srivastava, J Newn, Q Zhou, T Dingler, E Velloso
Proceedings of the 2020 CHI conference on human factors in computing systems …, 2020
212020
How do teachers use dashboards enhanced with data storytelling elements according to their data visualisation literacy skills?
S Pozdniakov, R Martinez-Maldonado, YS Tsai, V Echeverria, ...
LAK23: 13th international learning analytics and knowledge conference, 89-99, 2023
182023
Human identification using linear multiclass SVM and eye movement biometrics
N Srivastava, U Agrawal, SK Roy, US Tiwary
2015 Eighth International Conference on Contemporary Computing (IC3), 365-369, 2015
172015
Exploring the usage of thermal imaging for understanding video lecture designs and students' experiences
N Srivastava, S Nawaz, JM Lodge, E Velloso, S Erfani, J Bailey
Proceedings of the tenth international conference on learning analytics …, 2020
162020
How difficult is the task for you? Modelling and analysis of students' task difficulty sequences in a simulation-based POE environment
S Nawaz, N Srivastava, JH Yu, AA Khan, G Kennedy, J Bailey, RS Baker
International Journal of Artificial Intelligence in Education 32 (2), 233-262, 2022
122022
Analysis of task difficulty sequences in a simulation-based POE environment
S Nawaz, N Srivastava, JH Yu, RS Baker, G Kennedy, J Bailey
Artificial Intelligence in Education: 21st International Conference, AIED …, 2020
112020
Mitigating the effects of reading interruptions by providing reviews and previews
N Srivastava, R Jain, J Healey, Z Bylinskii, T Dingler
Extended Abstracts of the 2021 CHI Conference on Human Factors in Computing …, 2021
102021
Single or multi-page learning analytics dashboards? Relationships between teachers’ cognitive load and visualisation literacy
S Pozdniakov, R Martinez-Maldonado, YS Tsai, N Srivastava, Y Liu, ...
European Conference on Technology Enhanced Learning, 339-355, 2023
82023
VIVID: a web application for variant interpretation and visualization in multi-dimensional analyses
S Tichkule, Y Myung, MT Naung, BRE Ansell, AJ Guy, N Srivastava, ...
Molecular biology and evolution 39 (9), msac196, 2022
82022
GAVIN: Gaze-assisted voice-based implicit note-taking
AA Khan, J Newn, RM Kelly, N Srivastava, J Bailey, E Velloso
ACM Transactions on Computer-Human Interaction (TOCHI) 28 (4), 1-32, 2021
82021
Cognitive aid: task assistance based on mental workload estimation
Q Zhou, J Newn, N Srivastava, T Dingler, J Goncalves, E Velloso
Extended Abstracts of the 2019 CHI Conference on Human Factors in Computing …, 2019
82019
Using contactless sensors to estimate learning difficulty in digital learning environments
N Srivastava
Adjunct Proceedings of the 2019 ACM International Joint Conference on …, 2019
72019
Characteristics of Deep and Skim Reading on Smartphones vs. Desktop: A Comparative Study
X Chen, N Srivastava, R Jain, J Healey, T Dingler
Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems …, 2023
52023
Understanding the role of AI and learning analytics techniques in addressing task difficulties in STEM education
S Nawaz, EA Alghamdi, N Srivastava, J Lodge, L Corrin
Artificial intelligence in STEM education, 241-258, 2022
42022
Faces of Focus: A Study on the Facial Cues of Attentional States. Association for Computing Machinery, New York, NY, USA, 1–13
E Babaei, N Srivastava, J Newn, Q Zhou, T Dingler, E Velloso
32020
Curriculum Analytics of Course Choices: Links with Academic Performance.
N Srivastava, S Nawaz, YS Tsai, D Gaševic
Journal of Learning Analytics 11 (1), 116-131, 2024
22024
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Articles 1–20