Measuring User Engagement

Lalmas, Mounia; O’Brien, Heather; Yom-Tov, Elad

doi:10.1007/978-3-031-02289-0

Cited by 192Innovative Human-Technology InteractionTechnology Adoption and User BehaviourDigital Marketing and Social Media

Measuring User Engagement

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Lalmas, Mounia, O’Brien, Heather, Yom-Tov, Elad·2015·Synthesis Lectures on Information Concepts, Retrieval, and Services

DOI 10.1007/978-3-031-02289-0

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An empirical analysis of web page revisitation
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The Assessment of User Engagement with eHealth Content: The eHealth Engagement Scale1
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Evaluation of a mobile information system in context
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Eye Gaze and Mouse Cursor Relationship in a Debugging Task
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The effect of links on networked user engagement
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At This Moment
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Just-in-time adaptive interventions (JITAIs) in mobile health: key components and design principles for ongoing health behavior support
Nahum-Shani, I., Smith, S. N., Spring, B. J., Collins, L. M., Witkiewitz, K., Tewari, A., & Murphy, S. A. (2018) · Annals of Behavioral Medicine · doi:10.1007/s12160-016-9830-8 · Cited by 2,171 · see citing works
A practical approach to measuring user engagement with the refined user engagement scale (UES) and new UES short form
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Understanding the Long-Term Use of Smart Speaker Assistants
Bentley, F., Luvogt, C., Silverman, M., Wirasinghe, R., White, B., & Lottridge, D. (2018) · Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies · doi:10.1145/3264901 · Cited by 316 · see citing works
The Effectiveness of Prompts to Promote Engagement With Digital Interventions: A Systematic Review
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Reinforcement Learning to Optimize Long-term User Engagement in Recommender Systems
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Active learning with online video: The impact of learning context on engagement
Seo, K., Dodson, S., Harandi, N. M., Roberson, N. D., Fels, S., & Roll, I. (2021) · Computers & Education · doi:10.1016/j.compedu.2021.104132 · Cited by 159 · see citing works
Predicting user adherence to behavioral eHealth interventions in the real world: examining which aspects of intervention design matter most
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View, Like, Comment, Post: Analyzing User Engagement by Topic at 4 Levels across 5 Social Media Platforms for 53 News Organizations
Aldous, K. K., An, J., & Jansen, B. J. J. (2019) · Proceedings of the International AAAI Conference on Web and Social Media · doi:10.1609/icwsm.v13i01.3208 · Cited by 118 · see citing works
If we build it, will they come? Issues of engagement with digital health interventions for trauma recovery
Yeager, C. M., & Benight, C. C. (2018) · mHealth · doi:10.21037/mhealth.2018.08.04 · Cited by 115 · see citing works
"Deep reinforcement learning for search, recommendation, and online advertising: a survey" by Xiangyu Zhao, Long Xia, Jiliang Tang, and Dawei Yin with Martin Vesely as coordinator
Zhao, X., Xia, L., Tang, J., & Yin, D. (2019) · ACM SIGWEB Newsletter · doi:10.1145/3320496.3320500 · Cited by 106 · see citing works
Second Screen and Sports: A Structural Investigation Into Team Identification and Efficacy
Cunningham, N., & Eastin, M. S. (2015) · Communication & Sport · doi:10.1177/2167479515610152 · Cited by 90 · see citing works
Analyzing User Engagement with TikTok's Short Format Video Recommendations using Data Donations
Zannettou, S., Nemes-Nemeth, O., Ayalon, O., Goetzen, A., Gummadi, K. P., Redmiles, E. M., & Roesner, F. (2024) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/3613904.3642433 · Cited by 83 · see citing works
Returning is Believing
Wu, Q., Wang, H., Hong, L., & Shi, Y. (2017) · ACM International Conference on Information and Knowledge Management (CIKM) · doi:10.1145/3132847.3133025 · Cited by 82 · see citing works
Information Retrieval
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Users’ preferences and design recommendations to promote engagements with mobile apps for diabetes self-management: Multi-national perspectives
Adu, M. D., Malabu, U. H., Malau‐Aduli, A. E. O., & Malau‐Aduli, B. S. (2018) · PLoS ONE · doi:10.1371/journal.pone.0208942 · Cited by 76 · see citing works
An empirical study of interest, task complexity, and search behaviour on user engagement
O'Brien, H. L., Arguello, J., & Capra, R. (2020) · Information Processing & Management · doi:10.1016/j.ipm.2020.102226 · Cited by 68 · see citing works
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Face-Based Attention Recognition Model for Children with Autism Spectrum Disorder
Banire, B., Al‐Thani, D., Qaraqe, M., & Mansoor, B. (2021) · Journal of Healthcare Informatics Research · doi:10.1007/s41666-021-00101-y · Cited by 71 · see citing works
What really matters?: characterising and predicting user engagement of news postings using multiple platforms, sentiments and topics
Aldous, K. K., An, J., & Jansen, B. J. J. (2022) · Behaviour and Information Technology · doi:10.1080/0144929x.2022.2030798 · Cited by 59 · see citing works
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FaceHaptics: Robot Arm based Versatile Facial Haptics for Immersive Environments
Alexander, W., Leschtschow, D., Trepkowski, C., Maiero, J., Kruijff, E., & Riecke, B. E. (2020) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/3313831.3376481 · Cited by 55 · see citing works
User engagement for mid-air haptic interactions with digital signage
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Agent, Gatekeeper, Drug Dealer
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Can Apps Make Air Pollution Visible? Learning About Health Impacts Through Engagement with Air Quality Information
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Authors: Lalmas, M., O’Brien, H., & Yom-Tov, E.
Affiliations: Yahoo (United States) (US)
ORCID: Lalmas, Mounia
Venue: Synthesis Lectures on Information Concepts, Retrieval, and Services
Publisher: Springer International Publishing
Published: 2015
ISSN: 1947-945X (ISSN-L)
1947-9468
DOI: 10.1007/978-3-031-02289-0
OpenAlex: W2090955639
Cited by: 192
References: 203
Citations by year: 2026: 7 · 2025: 17 · 2024: 34 · 2023: 14 · 2022: 15 · 2021: 18 · 2020: 13 · 2019: 22 · 2018: 21 · 2017: 13 · 2016: 13 · 2015: 5
FWCI: 5.19
Type: book
Language: en
Open access: green
hdl.handle.net
Licence: cc-by-nc-nd
www.springer.com/tdm (tdm)
www.springer.com/tdm (vor)
Locations: Synthesis lectures on information concepts, retrieval, and services (publishedVersion)
CERN Document Server (European Organization for Nuclear Research) (submittedVersion)
cIRcle (University of British Columbia) (submittedVersion, cc-by-nc-nd)
Topics: Physical Sciences › Computer Science › Human-Computer Interaction › Innovative Human-Technology Interaction
Social Sciences › Decision Sciences › Information Systems and Management › Technology Adoption and User Behaviour
Social Sciences › Sociology and Political Science › Digital Marketing and Social Media
Keywords: user engagement, user experience, web application, engagement measurement, user interaction

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