TY - JOUR A1 - große Deters, Fenne A1 - Meier, Tabea A1 - Milek, Anne A1 - Horn, Andrea B. T1 - Self-focused and other-focused health concerns as predictors of the uptake of corona contact tracing apps BT - Empirical Study JF - Journal of medical internet research N2 - Background: Corona contact tracing apps are a novel and promising measure to reduce the spread of COVID-19. They can help to balance the need to maintain normal life and economic activities as much as possible while still avoiding exponentially growing case numbers. However, a majority of citizens need to be willing to install such an app for it to be effective. Hence, knowledge about drivers for app uptake is crucial. Objective: This study aimed to add to our understanding of underlying psychological factors motivating app uptake. More specifically, we investigated the role of concern for one's own health and concern to unknowingly infect others. Methods: A two-wave survey with 346 German-speaking participants from Switzerland and Germany was conducted. We measured the uptake of two decentralized contact tracing apps officially launched by governments (Corona-Warn-App, Germany; SwissCovid, Switzerland), as well as concerns regarding COVID-19 and control variables. Results: Controlling for demographic variables and general attitudes toward the government and the pandemic, logistic regression analysis showed a significant effect of self-focused concerns (odds ratio [OR] 1.64, P=.002). Meanwhile, concern of unknowingly infecting others did not contribute significantly to the prediction of app uptake over and above concern for one's own health (OR 1.01, P=.92). Longitudinal analyses replicated this pattern and showed no support for the possibility that app uptake provokes changes in levels of concern. Testing for a curvilinear relationship, there was no evidence that "too much" concern leads to defensive reactions and reduces app uptake. Conclusions: As one of the first studies to assess the installation of already launched corona tracing apps, this study extends our knowledge of the motivational landscape of app uptake. Based on this, practical implications for communication strategies and app design are discussed. KW - COVID-19 KW - corona contact tracing app KW - digital proximity tracing KW - preventive behavior KW - health concern KW - prosocial motivation KW - public health KW - risk perception KW - eHealth KW - Corona-Warn-App KW - SwissCovid KW - contact tracing app KW - contact tracing Y1 - 2021 U6 - https://doi.org/10.2196/29268 SN - 1438-8871 VL - 23 IS - 8 PB - Centre of Global eHealth Innovation CY - Toronto ER - TY - JOUR A1 - große Deters, Fenne A1 - Schoedel, Ramona T1 - Keep on scrolling? BT - using intensive longitudinal smartphone sensing data to assess how everyday smartphone usage behaviors are related to well-being JF - Computers in human behavior N2 - Smartphones are an integral part of daily life for many people worldwide. However, concerns have been raised that long usage times and the fragmentation of daily life through smartphone usage are detrimental to well-being. This preregistered study assesses (1) whether differences in smartphone usage behaviors between individuals predict differences in a variety of well-being measures (between-person effects) and (2) whether differences in smartphone usage behaviors between situations predict whether an individual is feeling better or worse (within-person effects). In addition to total usage time, several indicators capturing the fragmentation of usage/nonusage time were developed. The study combines objectively measured smartphone usage with self-reports of well-being in surveys (N = 236) and an experience sampling period (N = 378, n = 5775 datapoints). To ensure the robustness of the results, we replicated our analyses in a second measurement period (surveys: N = 305; experience sampling: N = 534, n = 7287 datapoints) and considered the pattern of effects across different operational definitions and constructs. Results show that individuals who use their smartphone more report slightly lower well-being (between-person effect) but no evidence for within-person effects of total usage time emerged. With respect to fragmentation, we found no robust association with well-being. Y1 - 2023 U6 - https://doi.org/10.1016/j.chb.2023.107977 SN - 0747-5632 SN - 1873-7692 VL - 150 PB - Elsevier Science CY - Amsterdam ER - TY - JOUR A1 - Gladkaya, Margarita A1 - große Deters, Fenne T1 - Capturing the self-others dichotomy of social media use BT - affordances-actualizations-outcomes model JF - Information & management : the international journal of information systems applications N2 - Focusing on the passive use of Instagram, we apply the affordance perspective to deeply explore its use and use-related outcomes. In the qualitative study, we uncover the affordances of focal social media features. Two distinct groups of affordances (self- and others-oriented) emerge. Following the grounded theory methodology, we develop the affordances-actualizations-outcomes model, explaining how immediate goals associated with features translate into outcomes. In the quantitative study, we test the model by applying structural equation modeling. Our findings confirm that actualizations of self- and others-oriented affordances are associated with distinct outcomes: social connectedness, positive affect, and overall satisfaction with Instagram experience. KW - Instagram KW - self-thers dichotomy KW - features KW - affordances KW - actualizations KW - outcomes Y1 - 2023 U6 - https://doi.org/10.1016/j.im.2023.103899 SN - 0378-7206 SN - 1872-7530 VL - 61 IS - 1 PB - Elsevier CY - Amsterdam ER -