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Predicting Smartphone Operating System from Personality and Individual Differences.

, , , , and . Cyberpsy., Behavior, and Soc. Networking, 19 (12): 727-732 (2016)

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Predicting Smartphone Operating System from Personality and Individual Differences., , , , and . Cyberpsy., Behavior, and Soc. Networking, 19 (12): 727-732 (2016)Determining Typical Smartphone Usage: What Data Do We Need?, , and . Cyberpsy., Behavior, and Soc. Networking, 21 (6): 395-398 (2018)Modelling pedestrian trajectory patterns with Gaussian processes., , and . ICCV Workshops, page 1229-1234. IEEE Computer Society, (2009)The Technology Integration Model (TIM). Predicting the continued use of technology., , and . Comput. Hum. Behav., (2018)Exploring User Motivations Behind iOS App Tracking Transparency Decisions., and . CHI, page 165:1-165:12. ACM, (2023)Should Smartphones Be Banned for Children or Does Cyberpsychology Have a Bigger Problem?, , and . Cyberpsychology Behav. Soc. Netw., 22 (7): 508-509 (2019)Multilevel Coarse-to-Fine PCFG Parsing., , , , , , , , , and 1 other author(s). HLT-NAACL, The Association for Computational Linguistics, (2006)Fuzzy constructs in technology usage scales., , and . Comput. Hum. Behav., (2022)Motivations for Collecting Digital NFT Fashion: A Uses and Gratifications Theory Approach for Understanding Digital NFT Fashion Collectors' Behavior., , , , and . CHI Extended Abstracts, page 212:1-212:7. ACM, (2023)Personality Traits in Game Development., , , , and . EASE, page 221-230. ACM, (2022)