<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>During COVID-19 pandemic, interest in mHealth rose dramatically. An ample literature review was carried out to discover whether personality traits could be the basis for mHealth personalization for human-computer interaction improvement. Moreover, the study of three most popular mHealth applications was conducted to determine data collected by users. The results showed that personality traits affected communication and physical activity preferences, motivation, and application usage. mHealth personalization based on personality traits could suggest enjoyable physical activities and motivational communication. mHealth applications already process enough user information to enable seamless inference of personality traits.</p>
</abstract>

During COVID-19 pandemic, interest in mHealth rose dramatically. An ample literature review was carried out to discover whether personality traits could be the basis for mHealth personalization for human-computer interaction improvement. Moreover, the study of three most popular mHealth applications was conducted to determine data collected by users. The results showed that personality traits affected communication and physical activity preferences, motivation, and application usage. mHealth personalization based on personality traits could suggest enjoyable physical activities and motivational communication. mHealth applications already process enough user information to enable seamless inference of personality traits.

mHealth and User Interaction Improvement by Personality Traits-Based Personalization

Applied Computer Systems

This work is licensed under the Creative Commons Attribution 4.0 International License.

During COVID-19 pandemic, interest in mHealth rose dramatically. An ample literature review was carried out to discover whether personality traits could be the...

mHealth and User Interaction Improvement by Personality Traits-Based Personalization

Online veröffentlicht: 23. Aug. 2022

Seitenbereich: 55 - 61

DOI: https://doi.org/10.2478/acss-2022-0006

Schlüsselwörter
Human-computer interaction (HCI), mHealth, personality traits, seamless inference

© 2022 Jeļena Avanesova et al., published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

mHealth and User Interaction Improvement by Personality Traits-Based Personalization

Online veröffentlicht: 23. Aug. 2022

Seitenbereich: 55 - 61

DOI: https://doi.org/10.2478/acss-2022-0006

SchlüsselwörterHuman-computer interaction (HCI), mHealth, personality traits, seamless inference

© 2022 Jeļena Avanesova et al., published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Schlüsselwörter
Human-computer interaction (HCI), mHealth, personality traits, seamless inference