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Exploring iPhone usage: the influence of socioeconomic differences on smartphone adoption, usage and usability.

, , , , and . Mobile HCI, page 11-20. ACM, (2012)

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Users' Mental Models for Three End-to-End Voting Systems: Helios, Prêt à Voter, and Scantegrity II., , , and . HCI (22), volume 9190 of Lecture Notes in Computer Science, page 463-474. Springer, (2015)A longitudinal study of emoticon use in text messaging from smartphones., , , , , and . Comput. Hum. Behav., 28 (2): 659-663 (2012)The impact of voice characteristics on user response in an interactive voice response system., and . Interact. Comput., 22 (6): 606-614 (2010)LiveLab: measuring wireless networks and smartphone users in the field., , , , and . SIGMETRICS Perform. Evaluation Rev., 38 (3): 15-20 (2010)Exploring Smartphone Addiction: Insights from Long-Term Telemetric Behavioral Measures., , , , and . Int. J. Interact. Mob. Technol., 9 (2): 37-43 (2015)Can Voters Detect Errors on Their Printed Ballots? Absolutely., , , and . CoRR, (2022)Exploring iPhone usage: the influence of socioeconomic differences on smartphone adoption, usage and usability., , , , and . Mobile HCI, page 11-20. ACM, (2012)Practical Context Awareness: Measuring and Utilizing the Context Dependency of Mobile Usage, , , , and . CoRR, (2012)The Relationship Between System Effectiveness and Subjective Usability Scores Using the System Usability Scale., and . Int. J. Hum. Comput. Interaction, 30 (7): 575-584 (2014)Summative Usability Assessments of STAR-Vote: A Cryptographically Secure e2e Voting System That Has Been Empirically Proven to Be Easy to Use., , , and . Hum. Factors, 64 (5): 866-889 (2022)