Does Smartphone Use Drive our Emotions or vice versa? A Causal Analysis
Zhanna Sarsenbayeva, Gabriele Marini, Niels van Berkel, Chu Luo, Weiwei Jiang, Kangning Yang, Greg Wadley, Tilman Dingler, Vassilis Kostakos, Jorge Gonçalves
Abstract
In this paper, we demonstrate the existence of a bidirectional causal relationship between smartphone application use and user emotions. In a two-week long in-the-wild study with 30 participants we captured 502,851 instances of smartphone application use in tandem with corresponding emotional data from facial expressions. Our analysis shows that while in most cases application use drives user emotions, multiple application categories exist for which the causal effect is in the opposite direction. Our findings shed light on the relationship between smartphone use and emotional states. We furthermore discuss the opportunities for research and practice that arise from our findings and their potential to support emotional well-being.
Ask about this paper
Your agent reads all of it.
Lune indexed this paper to the last equation, along with the top-tier papers that cite it. Ask a question and the answer quotes them.
Your agent calls
Luneget_paper_fulltext
Free to start. No credit card required.
Terminal
Install the CLIlune papers fulltext e612bb22-5503-4fc4-8109-286241ee84bdCited by top-tier papers4
- Investigating Technostress Among Teachers in Low-Income Indian SchoolsRama Adithya Varanasi, Aditya Vashistha, René F. Kizilcec, Nicola DellCSCW 2021 · 31 citations
- How Do You Feel Online: Exploiting Smartphone Sensors to Detect Transitory Emotions during Social Media UseMintra Ruensuk, Eunyong Cheon, Hwajung Hong, Ian OakleyUbiComp 2021 · 17 citations
- The Tale of a Complicated Relationship: Insights from Users' Love/Breakup Letters to Their Smartphones before and during the COVID-19 PandemicNada Terzimehic, Sarah Aragon-Hahner, Heinrich HussmannUbiComp 2023 · 5 citations
- Understanding the Effects of Interaction on Emotional Experiences in VRZheyuan Kuang, Tinghui Li, Weiwei Jiang, Sven Mayer et al.CHI 2026 · 2 citations
Related papers
- Digital Emotion Regulation in Everyday LifeWally Smith, Greg Wadley, Sarah Webber, Benjamin Tag et al.CHI 2022 · 76 citations
- Quantifying the Relationships between Everyday Objects and Emotional States through Deep Learning Based Image Analysis Using SmartphonesVictor-Alexandru Darvariu, Laura Convertino, Abhinav Mehrotra, Mirco MusolesiUbiComp 2020 · 15 citations
- Understanding Emotion Changes in Mobile Experience SamplingSoowon Kang, Cheul Young Park, Auk Kim, Narae Cha et al.CHI 2022 · 18 citations
- Affective State Prediction from Smartphone Touch and Sensor Data in the WildRafael Wampfler, Severin Klingler, Barbara Solenthaler, Victor R. Schinazi et al.CHI 2022 · 31 citations
- Towards Estimating Missing Emotion Self-reports Leveraging User Similarity: A Multi-task Learning ApproachSurjya Ghosh, Salma Mandi, Sougata Sen, Bivas Mitra et al.CHI 2024 · 2 citations
