research-article

Too tense for candy crush: affect influences user engagement with proactively suggested content

Authors:

Kostadin Kushlev,

Martin PielotAuthors Info & Claims

MobileHCI '17: Proceedings of the 19th International Conference on Human-Computer Interaction with Mobile Devices and Services

Article No.: 13, Pages 1 - 6

https://doi.org/10.1145/3098279.3098569

Published: 04 September 2017 Publication History

Abstract

Push notifications are increasingly being used to engage users with app content. In the present research, we propose that users' current affect (i.e., how they are feeling) should be a critical---yet underexplored---factor in user engagement. Participants (N = 337) downloaded a custom-developed app that delivered notifications. After attending to a notification (N = 32,704), participants reported how they felt and chose whether to engage with further content; they could choose between mentally demanding or simple/diverting tasks. When feeling good, people were less likely to engage with mentally demanding tasks. When feeling calm, people were more likely to engage with diverting tasks. When feeling energetic, people were less likely to respond to distractions altogether. These findings provide a tantalizing first glimpse into how affect predicts the kind of content users choose to engage with, paving the way for the use of affect in the design of notification systems.

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Cited By

Lee YWu MChang CChang XChang Y(2024)Investigating User-perceived Impacts of Contextual Factors on Opportune MomentsProceedings of the ACM on Human-Computer Interaction10.1145/36765148:MHCI(1-28)Online publication date: 24-Sep-2024
https://dl.acm.org/doi/10.1145/3676514
Lee HChiang YChou YLin KChang Y(2023)What makes IM users (un)responsiveInternational Journal of Human-Computer Studies10.1016/j.ijhcs.2022.102983172:COnline publication date: 1-Apr-2023
https://dl.acm.org/doi/10.1016/j.ijhcs.2022.102983
Chiang CChen YLin FFeng FWu HLee HYang CChang YKitamura YQuigley AIsbister KIgarashi TBjørn PDrucker S(2021)“I Got Some Free Time”: Investigating Task-execution and Task-effort Metrics in Mobile Crowdsourcing TasksProceedings of the 2021 CHI Conference on Human Factors in Computing Systems10.1145/3411764.3445477(1-14)Online publication date: 6-May-2021
https://dl.acm.org/doi/10.1145/3411764.3445477
Show More Cited By

Index Terms

Too tense for candy crush: affect influences user engagement with proactively suggested content
1. Computing methodologies
  1. Artificial intelligence
    1. Philosophical/theoretical foundations of artificial intelligence
      1. Cognitive science
2. Human-centered computing
  1. Human computer interaction (HCI)
    1. Empirical studies in HCI

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cover image ACM Conferences

MobileHCI '17: Proceedings of the 19th International Conference on Human-Computer Interaction with Mobile Devices and Services

September 2017

874 pages

ISBN:9781450350754

DOI:10.1145/3098279

General Chairs:
Matt Jones
Swansea University
,
Manfred Tscheligi
University of Salzburg and AIT
,
Program Chairs:
Yvonne Rogers
University College London
,
Roderick Murray-Smith
University of Glasgow

Copyright © 2017 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 the author(s) 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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Published: 04 September 2017

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MobileHCI '17: 19th International Conference on Human-Computer Interaction with Mobile Devices and Services

September 4 - 7, 2017

Vienna, Austria

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MobileHCI '17 Paper Acceptance Rate 45 of 224 submissions, 20%;

Overall Acceptance Rate 202 of 906 submissions, 22%

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Cited By

Lee YWu MChang CChang XChang Y(2024)Investigating User-perceived Impacts of Contextual Factors on Opportune MomentsProceedings of the ACM on Human-Computer Interaction10.1145/36765148:MHCI(1-28)Online publication date: 24-Sep-2024
https://dl.acm.org/doi/10.1145/3676514
Lee HChiang YChou YLin KChang Y(2023)What makes IM users (un)responsiveInternational Journal of Human-Computer Studies10.1016/j.ijhcs.2022.102983172:COnline publication date: 1-Apr-2023
https://dl.acm.org/doi/10.1016/j.ijhcs.2022.102983
Chiang CChen YLin FFeng FWu HLee HYang CChang YKitamura YQuigley AIsbister KIgarashi TBjørn PDrucker S(2021)“I Got Some Free Time”: Investigating Task-execution and Task-effort Metrics in Mobile Crowdsourcing TasksProceedings of the 2021 CHI Conference on Human Factors in Computing Systems10.1145/3411764.3445477(1-14)Online publication date: 6-May-2021
https://dl.acm.org/doi/10.1145/3411764.3445477
Wu TChien YLee HChang YKitamura YQuigley AIsbister KIgarashi TBjørn PDrucker S(2021)IM Receptivity and Presentation-type Preferences among Users of a Mobile App with Automated Receptivity-status AdjustmentProceedings of the 2021 CHI Conference on Human Factors in Computing Systems10.1145/3411764.3445209(1-14)Online publication date: 6-May-2021
https://dl.acm.org/doi/10.1145/3411764.3445209
Ghosh SGanguly NMitra BDe P(2021)Designing an Experience Sampling Method for Smartphone Based Emotion DetectionIEEE Transactions on Affective Computing10.1109/TAFFC.2019.290556112:4(913-927)Online publication date: 1-Oct-2021
https://doi.org/10.1109/TAFFC.2019.2905561
Braun MPfleging BAlt F(2018)A Survey to Understand Emotional Situations on the Road and What They Mean for Affective Automotive UIsMultimodal Technologies and Interaction10.3390/mti20400752:4(75)Online publication date: 25-Oct-2018
https://doi.org/10.3390/mti2040075
Pielot MCardoso BKatevas KSerrà JMatic AOliver N(2017)Beyond InterruptibilityProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/31309561:3(1-25)Online publication date: 11-Sep-2017
https://dl.acm.org/doi/10.1145/3130956

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