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This study aims to compare online vs. offline flirting and dating behavior using the example of the location-based real-time dating (LBRTD) app Tinder, a popular dating platform. We focus on persons' self-descriptions like self-esteem, social desirability, state social anxiety, and adjustment behavior on Tinder and the perceived data privacy of the app. Data was gathered using a survey approach with Tinder users reporting their behavior in offline and online settings. The comparison between offline and online behavior was made using Response Surface Analysis. The results suggest that the different conditions of the natural and digital worlds do not influence the individual's behavior and emotional perception. The results are analyzed and discuss gender, age, motivation to use the app, and the user's relationship status.
This paper aims to contribute to exploring the design possibilities of robots for use in human-robot interaction. In an experiment, we investigate the influence of the human's personality and the robot's design, especially its humanization, on its acceptance. We use the Almere model, the Big 5 personality traits, and the anthropomorphic gestalt variants to build the foundation for our investigation. The assumption that an anthropomorphized robot variant would, in principle, be preferred to the standard variant when a natural choice is enforced could not be evidenced in our experiment. This allows for the interpretation that anthropomorphism does not necessarily lead to intentional perception and, consequently, does not guarantee that it can automatically generate acceptance.