research-article

An exploration of user engagement in HCI

Authors:

Christopher Peters,

Ginevra Castellano,

Sara de FreitasAuthors Info & Claims

AFFINE '09: Proceedings of the International Workshop on Affective-Aware Virtual Agents and Social Robots

Article No.: 9, Pages 1 - 3

https://doi.org/10.1145/1655260.1655269

Published: 06 November 2009 Publication History

Abstract

Engagement is a concept of the utmost importance in human computer interaction, not only for informing the design and implementation of interfaces, but also for enabling more sophisticated interfaces capable of adapting to users. While the notion of engagement is actively being studied in a diverse set of domains, the term has been used to refer to a number of related, but different concepts. This paper represents a first attempt at exploring a number of important concepts that the term has been used to refer to, of relevance to both human-human and human-machine interaction modelling.

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Cited By

Kolomaznik MPetrik VSlama MJurik V(2024)The role of socio-emotional attributes in enhancing human-AI collaborationFrontiers in Psychology10.3389/fpsyg.2024.136995715Online publication date: 15-Oct-2024
https://doi.org/10.3389/fpsyg.2024.1369957
Siniukov MYin YFast EQi YMonga AKim ASoleymani M(2024)SEMPI: A Database for Understanding Social Engagement in Video-Mediated Multiparty InteractionProceedings of the 26th International Conference on Multimodal Interaction10.1145/3678957.3685752(546-555)Online publication date: 4-Nov-2024
https://dl.acm.org/doi/10.1145/3678957.3685752
Salam HCeliktutan OGunes HChetouani M(2024)Automatic Context-Aware Inference of Engagement in HMI: A SurveyIEEE Transactions on Affective Computing10.1109/TAFFC.2023.327870715:2(445-464)Online publication date: Apr-2024
https://doi.org/10.1109/TAFFC.2023.3278707
Show More Cited By

Index Terms

An exploration of user engagement in HCI
1. Applied computing
  1. Law, social and behavioral sciences

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cover image ACM Conferences

AFFINE '09: Proceedings of the International Workshop on Affective-Aware Virtual Agents and Social Robots

November 2009

47 pages

ISBN:9781605586922

DOI:10.1145/1655260

Copyright © 2009 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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SIGCHI: ACM Special Interest Group on Computer-Human Interaction

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Published: 06 November 2009

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ICMI-MLMI '09

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SIGCHI

ICMI-MLMI '09: INTERNATIONAL CONFERENCE ON MULTIMODAL INTERFACES/WORKSHOP ON MACHINE LEARNING FOR MULTIMODAL INTERFACES

November 6, 2009

Massachusetts, Boston

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Cited By

Kolomaznik MPetrik VSlama MJurik V(2024)The role of socio-emotional attributes in enhancing human-AI collaborationFrontiers in Psychology10.3389/fpsyg.2024.136995715Online publication date: 15-Oct-2024
https://doi.org/10.3389/fpsyg.2024.1369957
Siniukov MYin YFast EQi YMonga AKim ASoleymani M(2024)SEMPI: A Database for Understanding Social Engagement in Video-Mediated Multiparty InteractionProceedings of the 26th International Conference on Multimodal Interaction10.1145/3678957.3685752(546-555)Online publication date: 4-Nov-2024
https://dl.acm.org/doi/10.1145/3678957.3685752
Salam HCeliktutan OGunes HChetouani M(2024)Automatic Context-Aware Inference of Engagement in HMI: A SurveyIEEE Transactions on Affective Computing10.1109/TAFFC.2023.327870715:2(445-464)Online publication date: Apr-2024
https://doi.org/10.1109/TAFFC.2023.3278707
Biancardi BChollet MClavel C(2024)Introducing the 3MT_French dataset to investigate the timing of public speaking judgementsLanguage Resources and Evaluation10.1007/s10579-023-09709-5Online publication date: 23-Mar-2024
https://doi.org/10.1007/s10579-023-09709-5
Tarantino LAttanasio MDi Mascio TDe Gasperis GValenti MMazza M(2023)On the Evaluation of Engagement in Immersive Applications When Users Are on the Autism SpectrumSensors10.3390/s2304219223:4(2192)Online publication date: 15-Feb-2023
https://doi.org/10.3390/s23042192
Pellet-Rostaing ABertrand RBoudin ARauzy SBlache P(2023)A multimodal approach for modeling engagement in conversationFrontiers in Computer Science10.3389/fcomp.2023.10623425Online publication date: 2-Mar-2023
https://doi.org/10.3389/fcomp.2023.1062342
Naderi AWohn D(2023)User engagement behaviors: Exploring predictors of ARMY’s active and passive media usage behaviors using social cognitive theoryExtended Abstracts of the 2023 CHI Conference on Human Factors in Computing Systems10.1145/3544549.3585764(1-7)Online publication date: 19-Apr-2023
https://dl.acm.org/doi/10.1145/3544549.3585764
Manzoni PZennaro MAhlgren FOlsson TPrandi C(2023)Crowdsourcing Through TinyML as a Way to Engage End-Users in IoT SolutionsMobile Crowdsourcing10.1007/978-3-031-32397-3_14(359-385)Online publication date: 21-Apr-2023
https://doi.org/10.1007/978-3-031-32397-3_14
Jung SAhn SHa JBahn S(2022)A Study on the Effectiveness of IT Application Education for Older Adults by Interaction Method of Humanoid RobotsInternational Journal of Environmental Research and Public Health10.3390/ijerph19171098819:17(10988)Online publication date: 2-Sep-2022
https://doi.org/10.3390/ijerph191710988
Ferreira AGama TOliveira F(2022)Construction of an Instrument for the Quantitative Assessment of Experience in the Use of Conversational AgentsHCI International 2022 - Late Breaking Papers. Design, User Experience and Interaction10.1007/978-3-031-17615-9_16(226-243)Online publication date: 5-Oct-2022
https://doi.org/10.1007/978-3-031-17615-9_16
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