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InteractOut: Leveraging Interaction Proxies as Input Manipulation Strategies for Reducing Smartphone Overuse

Published: 11 May 2024 Publication History

Abstract

Smartphone overuse poses risks to people’s physical and mental health. However, current intervention techniques mainly focus on explicitly changing screen content (i.e., output) and often fail to persistently reduce smartphone overuse due to being over-restrictive or over-flexible. We present the design and implementation of InteractOut, a suite of implicit input manipulation techniques that leverage interaction proxies to weakly inhibit the natural execution of common user gestures on mobile devices. We present a design space for input manipulations and demonstrate 8 Android implementations of input interventions. We first conducted a pilot lab study (N=30) to evaluate the usability of these interventions. Based on the results, we then performed a 5-week within-subject field experiment (N=42) to evaluate InteractOut in real-world scenarios. Compared to the traditional and common timed lockout technique, InteractOut significantly reduced the usage time by an additional 15.6% and opening frequency by 16.5% on participant-selected target apps. InteractOut also achieved a 25.3% higher user acceptance rate, and resulted in less frustration and better user experience according to participants’ subjective feedback. InteractOut demonstrates a new direction for smartphone overuse intervention and serves as a strong complementary set of techniques with existing methods.

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References

[1]
2023. AccessibilityService. https://developer.android.com/reference/android/accessibilityservice/AccessibilityService
[2]
2023. Manage how you spend time on your Android phone with Digital Wellbeing - Android Help. https://support.google.com/android/answer/9346420?hl=en
[3]
2023. MotionEvent. https://developer.android.com/reference/android/view/MotionEvent
[4]
2023. Notifications Overview. https://developer.android.com/develop/ui/views/notifications
[5]
2023. Set up Screen Time for yourself on iPhone. https://support.apple.com/guide/iphone/set-up-screen-time-for-yourself-iphbfa595995/ios
[6]
Sultan Almoallim and Corina Sas. 2022. Toward Research-Informed Design Implications for Interventions Limiting Smartphone Use: Functionalities Review of Digital Well-being Apps. JMIR Form Res 6, 4 (19 Apr 2022), e31730. https://doi.org/10.2196/31730
[7]
Adam L Alter, Daniel M Oppenheimer, Nicholas Epley, and Rebecca N Eyre. 2007. Overcoming intuition: metacognitive difficulty activates analytic reasoning.Journal of experimental psychology: General 136, 4 (2007), 569.
[8]
Muhammad Anshari, Yabit Alas, and Exzayrani Sulaiman. 2019. Smartphone addictions and nomophobia among youth. Vulnerable Children and Youth Studies 14, 3 (2019), 242–247. https://doi.org/10.1080/17450128.2019.1614709
[9]
Forest APP. 2023. Stay focused, be present. https://www.forestapp.cc/
[10]
Apple. 2023. Shortcuts. https://support.apple.com/guide/shortcuts/welcome/ios
[11]
Aswin Mohan. 2023. LessPhone. https://play.google.com/store/apps/details?id=me.aswinmohan.nophone
[12]
Fayiqa Ahamed Bahkir and Srinivasan Subramanian Grandee. 2020. Impact of the COVID-19 lockdown on digital device-related ocular health. Indian journal of ophthalmology 68, 11 (2020), 2378.
[13]
Sebastian Boring, David Ledo, Xiang ’Anthony’ Chen, Nicolai Marquardt, Anthony Tang, and Saul Greenberg. 2012. The Fat Thumb: Using the Thumb’s Contact Size for Single-Handed Mobile Interaction. In Proceedings of the 14th International Conference on Human-Computer Interaction with Mobile Devices and Services (San Francisco, California, USA) (MobileHCI ’12). Association for Computing Machinery, New York, NY, USA, 39–48. https://doi.org/10.1145/2371574.2371582
[14]
Andrew Bragdon, Eugene Nelson, Yang Li, and Ken Hinckley. 2011. Experimental Analysis of Touch-Screen Gesture Designs in Mobile Environments. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (Vancouver, BC, Canada) (CHI ’11). Association for Computing Machinery, New York, NY, USA, 403–412. https://doi.org/10.1145/1978942.1979000
[15]
Virginia Braun and Victoria Clarke. 2006. Using thematic analysis in psychology. Qualitative research in psychology 3, 2 (2006), 77–101.
[16]
Nancy A. Cheever, Larry D. Rosen, L. Mark Carrier, and Amber Chavez. 2014. Out of sight is not out of mind: The impact of restricting wireless mobile device use on anxiety levels among low, moderate and high users. Computers in Human Behavior 37 (2014), 290–297. https://doi.org/10.1016/j.chb.2014.05.002
[17]
Hyunsung Cho, DaEun Choi, Donghwi Kim, Wan Ju Kang, Eun Kyoung Choe, and Sung-Ju Lee. 2021. Reflect, not regret: Understanding regretful smartphone use with app feature-level analysis. Proceedings of the ACM on human-computer interaction 5, CSCW2 (2021), 1–36.
[18]
Xiang Ding, Jing Xu, Guanling Chen, and Chenren Xu. 2016. Beyond Smartphone Overuse: Identifying Addictive Mobile Apps. In Proceedings of the 2016 CHI Conference Extended Abstracts on Human Factors in Computing Systems (San Jose, California, USA) (CHI EA ’16). Association for Computing Machinery, New York, NY, USA, 2821–2828. https://doi.org/10.1145/2851581.2892415
[19]
Jonathan St BT Evans and Keith E Stanovich. 2013. Dual-process theories of higher cognition: Advancing the debate. Perspectives on psychological science 8, 3 (2013), 223–241.
[20]
Sónia P. Gonçalves and Joana Vieira dos Santos. 2022. Smartphone Use Side-by-Side with Burnout: Mediation of Work-Family Interaction and Loneliness. International Journal of Environmental Research and Public Health 19, 11 (2022). https://doi.org/10.3390/ijerph19116692
[21]
Google. 2023. Firebase. https://firebase.google.com/
[22]
Colin M Gray, Yubo Kou, Bryan Battles, Joseph Hoggatt, and Austin L Toombs. 2018. The dark (patterns) side of UX design. In Proceedings of the 2018 CHI conference on human factors in computing systems. 1–14.
[23]
Joshua Harwood, Julian J. Dooley, Adrian J. Scott, and Richard Joiner. 2014. Constantly connected – The effects of smart-devices on mental health. Computers in Human Behavior 34 (2014), 267–272. https://doi.org/10.1016/j.chb.2014.02.006
[24]
Alexis Hiniker, Sungsoo (Ray) Hong, Tadayoshi Kohno, and Julie A. Kientz. 2016. MyTime: Designing and Evaluating an Intervention for Smartphone Non-Use. In Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems (San Jose, California, USA) (CHI ’16). Association for Computing Machinery, New York, NY, USA, 4746–4757. https://doi.org/10.1145/2858036.2858403
[25]
Daniel Hintze, Philipp Hintze, Rainhard D Findling, and René Mayrhofer. 2017. A large-scale, long-term analysis of mobile device usage characteristics. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies 1, 2 (2017), 1–21.
[26]
Wilhelm Hofmann, Malte Friese, and Fritz Strack. 2009. Impulse and Self-Control From a Dual-Systems Perspective. Perspectives on Psychological Science 4, 2 (March 2009), 162–176. https://doi.org/10.1111/j.1745-6924.2009.01116.x
[27]
Edwin L. Hutchins, James D. Hollan, and Donald A. Norman. 1985. Direct Manipulation Interfaces. Human–Computer Interaction 1, 4 (1985), 311–338. https://doi.org/10.1207/s15327051hci0104_2
[28]
IFTTT. 2023. IFTTT. https://ifttt.com/
[29]
iMobiApp. 2023. RealizD. https://www.realizd.com/
[30]
The NASA TLX Tool: Task Load Index. 2019. TLX @ NASA Ames - Home. https://humansystems.arc.nasa.gov/groups/tlx/
[31]
Reynol Junco and Shelia R. Cotten. 2011. Perceived Academic Effects of Instant Messaging Use. Comput. Educ. 56, 2 (feb 2011), 370–378. https://doi.org/10.1016/j.compedu.2010.08.020
[32]
Inyeop Kim, Gyuwon Jung, Hayoung Jung, Minsam Ko, and Uichin Lee. 2017. Let’s FOCUS: Mitigating Mobile Phone Use in College Classrooms. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 1, 3, Article 63 (sep 2017), 29 pages. https://doi.org/10.1145/3130928
[33]
Jaejeung Kim, Chiwoo Cho, and Uichin Lee. 2017. Technology Supported Behavior Restriction for Mitigating Self-Interruptions in Multi-Device Environments. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 1, 3, Article 64 (sep 2017), 21 pages. https://doi.org/10.1145/3130932
[34]
Jaejeung Kim, Hayoung Jung, Minsam Ko, and Uichin Lee. 2019. GoalKeeper: Exploring Interaction Lockout Mechanisms for Regulating Smartphone Use. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 3, 1, Article 16 (mar 2019), 29 pages. https://doi.org/10.1145/3314403
[35]
Jaejeung Kim, Joonyoung Park, Hyunsoo Lee, Minsam Ko, and Uichin Lee. 2019. LocknType: Lockout Task Intervention for Discouraging Smartphone App Use. In Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems (Glasgow, Scotland Uk) (CHI ’19). Association for Computing Machinery, New York, NY, USA, 1–12. https://doi.org/10.1145/3290605.3300927
[36]
Minsam Ko, Seungwoo Choi, Koji Yatani, and Uichin Lee. 2016. Lock n’ LoL: Group-Based Limiting Assistance App to Mitigate Smartphone Distractions in Group Activities. In Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems (San Jose, California, USA) (CHI ’16). Association for Computing Machinery, New York, NY, USA, 998–1010. https://doi.org/10.1145/2858036.2858568
[37]
Minsam Ko, Subin Yang, Joonwon Lee, Christian Heizmann, Jinyoung Jeong, Uichin Lee, Daehee Shin, Koji Yatani, Junehwa Song, and Kyong-Mee Chung. 2015. NUGU: A Group-Based Intervention App for Improving Self-Regulation of Limiting Smartphone Use. In Proceedings of the 18th ACM Conference on Computer Supported Cooperative Work & Social Computing (Vancouver, BC, Canada) (CSCW ’15). Association for Computing Machinery, New York, NY, USA, 1235–1245. https://doi.org/10.1145/2675133.2675244
[38]
Min Kwon, Dai-Jin Kim, Hyun Cho, and Soo Yang. 2014. The Smartphone Addiction Scale: Development and Validation of a Short Version for Adolescents. PLOS ONE 8, 12 (12 2014), 1–7. https://doi.org/10.1371/journal.pone.0083558
[39]
Toby Jia-Jun Li, Amos Azaria, and Brad A. Myers. 2017. SUGILITE: Creating Multimodal Smartphone Automation by Demonstration. In Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems (Denver, Colorado, USA) (CHI ’17). Association for Computing Machinery, New York, NY, USA, 6038–6049. https://doi.org/10.1145/3025453.3025483
[40]
Hajin Lim, Ian Arawjo, Yaxian Xie, Negar Khojasteh, and Susan R Fussell. 2017. Distraction or life saver? The role of technology in undergraduate students’ boundary management strategies. Proceedings of the ACM on Human-Computer Interaction 1, CSCW (2017), 1–18.
[41]
Gadi Lissak. 2018. Adverse physiological and psychological effects of screen time on children and adolescents: Literature review and case study. Environmental Research 164 (2018), 149–157. https://doi.org/10.1016/j.envres.2018.01.015
[42]
Markus Löchtefeld, Matthias Böhmer, and Lyubomir Ganev. 2013. AppDetox: Helping Users with Mobile App Addiction. In Proceedings of the 12th International Conference on Mobile and Ubiquitous Multimedia (Luleå, Sweden) (MUM ’13). Association for Computing Machinery, New York, NY, USA, Article 43, 2 pages. https://doi.org/10.1145/2541831.2541870
[43]
Kai Lukoff, Cissy Yu, Julie Kientz, and Alexis Hiniker. 2018. What makes smartphone use meaningful or meaningless?Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies 2, 1 (2018), 1–26.
[44]
Ulrik Lyngs, Kai Lukoff, Petr Slovak, Reuben Binns, Adam Slack, Michael Inzlicht, Max Van Kleek, and Nigel Shadbolt. 2019. Self-control in cyberspace: Applying dual systems theory to a review of digital self-control tools. In proceedings of the 2019 CHI conference on human factors in computing systems. 1–18.
[45]
Inbal Nahum-Shani, Shawna N Smith, Bonnie J Spring, Linda M Collins, Katie Witkiewitz, Ambuj Tewari, and Susan A Murphy. 2017. Just-in-Time Adaptive Interventions (JITAIs) in Mobile Health: Key Components and Design Principles for Ongoing Health Behavior Support. Annals of Behavioral Medicine 52, 6 (12 2017), 446–462. https://doi.org/10.1007/s12160-016-9830-8
[46]
Inbal Nahum-Shani, Shawna N Smith, Bonnie J Spring, Linda M Collins, Katie Witkiewitz, Ambuj Tewari, and Susan A Murphy. 2018. Just-in-time adaptive interventions (JITAIs) in mobile health: key components and design principles for ongoing health behavior support. Annals of Behavioral Medicine (2018), 1–17.
[47]
Chauncey J Neyman. 2017. A survey of addictive software design. (2017).
[48]
Jakob Nielsen. 1993. Response Times: The 3 Important Limits. https://www.nngroup.com/articles/response-times-3-important-limits/
[49]
Donald A Norman and Jakob Nielsen. 2010. Gestural interfaces: a step backward in usability. interactions 17, 5 (2010), 46–49.
[50]
Fabian Okeke, Michael Sobolev, Nicola Dell, and Deborah Estrin. 2018. Good Vibrations: Can a Digital Nudge Reduce Digital Overload?. In Proceedings of the 20th International Conference on Human-Computer Interaction with Mobile Devices and Services (Barcelona, Spain) (MobileHCI ’18). Association for Computing Machinery, New York, NY, USA, Article 4, 12 pages. https://doi.org/10.1145/3229434.3229463
[51]
Fabian Okeke, Michael Sobolev, and Deborah Estrin. 2018. Towards A Framework for Mobile Behavior Change Research. In Proceedings of the Technology, Mind, and Society (Washington, DC, USA) (TechMindSociety ’18). Association for Computing Machinery, New York, NY, USA, Article 27, 6 pages. https://doi.org/10.1145/3183654.3183706
[52]
Adiba Orzikulova, Hyunsung Cho, Hye-Young Chung, Hwajung Hong, Uichin Lee, and Sung-Ju Lee. 2023. FinerMe: Examining App-level and Feature-level Interventions to Regulate Mobile Social Media Use. Proceedings of the ACM on Human-Computer Interaction 7, CSCW2 (2023), 1–30.
[53]
Adiba Orzikulova, Han Xiao, Zhipeng Li, Yukang Yan, Yuntao Wang, Yuanchun Shi, Marzyeh Ghassemi, Sung-Ju Lee, Anind K. Dey, and Xuhai Xu. 2024. Time2Stop: Adaptive and Explainable Human-AI Loop for Smartphone Overuse Intervention. In Proceedings of the 2024 CHI conference on human factors in computing systems. Association for Computing Machinery, New York, NY, USA, 1–18. https://doi.org/10.1145/3613904.3642747
[54]
Joonyoung Park, Hyunsoo Lee, Sangkeun Park, Kyong-Mee Chung, and Uichin Lee. 2021. GoldenTime: Exploring System-Driven Timeboxing and Micro-Financial Incentives for Self-Regulated Phone Use. In Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems (Yokohama, Japan) (CHI ’21). Association for Computing Machinery, New York, NY, USA, Article 702, 17 pages. https://doi.org/10.1145/3411764.3445489
[55]
Joonyoung Park, Jin Yong Sim, Jaejeung Kim, Mun Yong Yi, and Uichin Lee. 2018. Interaction Restraint: Enforcing Adaptive Cognitive Tasks to Restrain Problematic User Interaction. In Extended Abstracts of the 2018 CHI Conference on Human Factors in Computing Systems (Montreal QC, Canada) (CHI EA ’18). Association for Computing Machinery, New York, NY, USA, 1–6. https://doi.org/10.1145/3170427.3188613
[56]
Martin Pielot and Luz Rello. 2017. Productive, Anxious, Lonely: 24 Hours without Push Notifications. In Proceedings of the 19th International Conference on Human-Computer Interaction with Mobile Devices and Services (Vienna, Austria) (MobileHCI ’17). Association for Computing Machinery, New York, NY, USA, Article 11, 11 pages. https://doi.org/10.1145/3098279.3098526
[57]
Benjamin Poppinga, Alireza Sahami Shirazi, Niels Henze, Wilko Heuten, and Susanne Boll. 2014. Understanding Shortcut Gestures on Mobile Touch Devices. In Proceedings of the 16th International Conference on Human-Computer Interaction with Mobile Devices & Services (Toronto, ON, Canada) (MobileHCI ’14). Association for Computing Machinery, New York, NY, USA, 173–182. https://doi.org/10.1145/2628363.2628378
[58]
James O. Prochaska and Wayne F. Velicer. 1997. The Transtheoretical Model of Health Behavior Change. American Journal of Health Promotion 12, 1 (1997), 38–48. https://doi.org/10.4278/0890-1171-12.1.38 arXiv:https://doi.org/10.4278/0890-1171-12.1.38PMID: 10170434.
[59]
Julie Rico and Stephen Brewster. 2010. Usable gestures for mobile interfaces: evaluating social acceptability. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems. 887–896.
[60]
Sensor Tower. 2023. ActionDash. https://actiondash.com/
[61]
Claude M. Steele. 1988. The Psychology of Self-Affirmation: Sustaining the Integrity of the Self. Advances in Experimental Social Psychology, Vol. 21. Academic Press, 261–302. https://doi.org/10.1016/S0065-2601(08)60229-4
[62]
Matthew J Stollak, Amy Vandenberg, Andie Burklund, and Stephanie Weiss. 2011. Getting Social: The Impact of Social Networking Usage on Grades Among College Students. In Proceedings from ASBBS annual conference, Vol. 18. 859–865.
[63]
Storm8 Studios. 2023. Bubble Mania. https://play.google.com/store/apps/details?id=com.teamlava.bubble
[64]
Nassim Nicholas Taleb. 2014. Antifragile: Things that gain from disorder. Vol. 3. Random House Trade Paperbacks.
[65]
Sandra Tor and Simon Ekman von Huth. 2021. The Impact of Gesture Navigation on Mobile Usage.
[66]
M. K. Umami, P. Arezes, and A. M. Sampaio. 2015. Identifying finger postures when interacting with the touch screen of mobile devices.
[67]
Chad J Valasek. 2022. Disciplining the Akratic user: Constructing digital (un) wellness. Mobile Media & Communication 10, 2 (2022), 235–250.
[68]
Deedra Vargo, Lin Zhu, Briana Benwell, and Zheng Yan. 2021. Digital technology use during COVID-19 pandemic: A rapid review. Human Behavior and Emerging Technologies 3, 1 (2021), 13–24. https://doi.org/10.1002/hbe2.242
[69]
Manuel Vonau. 2022. Android 13 blocks unwarranted use of accessibility services by further restricting sideloaded apps. https://www.androidpolice.com/android-13-blocks-accessibility-services-sideloaded-apps/
[70]
Brooke E. Wagner, Amanda L. Folk, Samantha L. Hahn, Daheia J. Barr-Anderson, Nicole Larson, and Dianne Neumark-Sztainer. 2021. Recreational Screen Time Behaviors during the COVID-19 Pandemic in the U.S.: A Mixed-Methods Study among a Diverse Population-Based Sample of Emerging Adults. International Journal of Environmental Research and Public Health 18, 9 (2021). https://doi.org/10.3390/ijerph18094613
[71]
Anqi Wang, Zhen Wang, Ya Zhu, and Xuliang Shi. 2022. The Prevalence and Psychosocial Factors of Problematic Smartphone Use Among Chinese College Students: A Three-Wave Longitudinal Study. Frontiers in Psychology (2022), 1476. https://doi.org/10.3389/fpsyg.2022.877277
[72]
Chee Wai Wong, Andrew Tsai, Jost B. Jonas, Kyoko Ohno-Matsui, James Chen, Marcus Ang, and Daniel Shu Wei Ting. 2021. Digital Screen Time During the COVID-19 Pandemic: Risk for a Further Myopia Boom?American Journal of Ophthalmology 223 (2021), 333–337. https://doi.org/10.1016/j.ajo.2020.07.034
[73]
Ruolan Wu, Chun Yu, Xiaole Pan, Yujia Liu, Ningning Zhang, Yue Fu, Wang Yuhan, Zheng Zhi, Chen Li, Jiang Qiaolei, Xuhai Xu, and Yuanchun Shi. 2024. MindShift: Leveraging Large Language Models for Mental-States-Based Problematic Smartphone Use Intervention. In Proceedings of the 2024 CHI conference on human factors in computing systems. Association for Computing Machinery, New York, NY, USA, 1–18. https://doi.org/10.1145/3613904.3642790
[74]
X. 2023. X. https://twitter.com
[75]
Xuhai Xu, Prerna Chikersal, Afsaneh Doryab, Daniella K Villalba, Janine M Dutcher, Michael J Tumminia, Tim Althoff, Sheldon Cohen, Kasey G Creswell, J David Creswell, 2019. Leveraging routine behavior and contextually-filtered features for depression detection among college students. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies 3, 3 (2019), 1–33.
[76]
Xuhai Xu, Xin Liu, Han Zhang, Weichen Wang, Subigya Nepal, Yasaman Sefidgar, Woosuk Seo, Kevin S Kuehn, Jeremy F Huckins, Margaret E Morris, 2023. GLOBEM: Cross-Dataset Generalization of Longitudinal Human Behavior Modeling. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies 6, 4 (2023), 1–34.
[77]
Xuhai Xu, Han Zhang, Yasaman Sefidgar, Yiyi Ren, Xin Liu, Woosuk Seo, Jennifer Brown, Kevin Kuehn, Mike Merrill, Paula Nurius, Shwetak Patel, Tim Althoff, Margaret Morris, Eve Riskin, Jennifer Mankoff, and Anind Dey. 2022. GLOBEM Dataset: Multi-Year Datasets for Longitudinal Human Behavior Modeling Generalization. In Advances in Neural Information Processing Systems, S. Koyejo, S. Mohamed, A. Agarwal, D. Belgrave, K. Cho, and A. Oh (Eds.). Vol. 35. Curran Associates, Inc., 24655–24692. https://proceedings.neurips.cc/paper_files/paper/2022/file/9c7e8a0821dfcb58a9a83cbd37cc8131-Paper-Datasets_and_Benchmarks.pdf
[78]
Xuhai Xu, Tianyuan Zou, Han Xiao, Yanzhang Li, Ruolin Wang, Tianyi Yuan, Yuntao Wang, Yuanchun Shi, Jennifer Mankoff, and Anind K Dey. 2022. TypeOut: Leveraging Just-in-Time Self-Affirmation for Smartphone Overuse Reduction. In Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems (New Orleans, LA, USA) (CHI ’22). Association for Computing Machinery, New York, NY, USA, Article 442, 17 pages. https://doi.org/10.1145/3491102.3517476
[79]
Zafty Intelligence. 2023. AntiSocial. https://antisocial.io/
[80]
Xiaoyi Zhang, Anne Spencer Ross, Anat Caspi, James Fogarty, and Jacob O. Wobbrock. 2017. Interaction Proxies for Runtime Repair and Enhancement of Mobile Application Accessibility. In Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems (Denver, Colorado, USA) (CHI ’17). Association for Computing Machinery, New York, NY, USA, 6024–6037. https://doi.org/10.1145/3025453.3025846

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  • (2024)MindShift: Leveraging Large Language Models for Mental-States-Based Problematic Smartphone Use InterventionProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642790(1-24)Online publication date: 11-May-2024
  • (2024)Time2Stop: Adaptive and Explainable Human-AI Loop for Smartphone Overuse InterventionProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642747(1-20)Online publication date: 11-May-2024

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    CHI '24: Proceedings of the 2024 CHI Conference on Human Factors in Computing Systems
    May 2024
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    ISBN:9798400703300
    DOI:10.1145/3613904
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    1. Smartphone overuse
    2. gestures
    3. input manipulation
    4. interaction proxy
    5. intervention design

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    • (2024)MindShift: Leveraging Large Language Models for Mental-States-Based Problematic Smartphone Use InterventionProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642790(1-24)Online publication date: 11-May-2024
    • (2024)Time2Stop: Adaptive and Explainable Human-AI Loop for Smartphone Overuse InterventionProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642747(1-20)Online publication date: 11-May-2024

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