Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

On Developing Human Centric Digital Tweens

Version 1 : Received: 13 March 2022 / Approved: 14 March 2022 / Online: 14 March 2022 (12:28:44 CET)

How to cite: Enughwure, A.A.; Lelli, F. On Developing Human Centric Digital Tweens. Preprints 2022, 2022030189. Enughwure, A.A.; Lelli, F. On Developing Human Centric Digital Tweens. Preprints 2022, 2022030189.


Purpose: The use of smart devices has increased greatly in the last ten years with users reaching out to the possibility to do more with them especially in the networking front. In this context there is a need to understand the connection between users’ social demographic factors and their way to related to their smart devices. Objective: This study was designed to evaluate the senso of belonging of a community in order to evaluate intangible benefits that employees may gain from a more immerse relationship with their devices. Method: We used a dataset of 586 anonymous respondent of an existing survey designed for capturing the relationships that humans develop with their smart devices. In particular, we investigate the relationships with smart device and particular background variables of the respondents using a chi-square test. Results: The study showed that there is a significant relationship between users’ sex and smart device type and their dependency on smart device. Male tends to think that smart device (in general) enables them to connect with a larger community. At the same time, female using smart phones feels more connected more to large community than when using other smart devices. Conclusion: This study provided several significant findings that confirm and strength previous literature works on the subject. In addition, socio demographics variables (like gender) as well as the type of smart device present a correlation between the smart device users and their tendency to stay in touch with a larger community.


Smart device; Users behavior; human computer interaction; exploratory analysis; statistical methods


Computer Science and Mathematics, Information Systems

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