Choosing the most appropriate platform to create social augmented reality
Kinko, Irina (2023)
2023
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Julkaisun pysyvä osoite on
https://urn.fi/URN:NBN:fi:amk-2023051110016
https://urn.fi/URN:NBN:fi:amk-2023051110016
Tiivistelmä
Due to the statistics behind the popularity growth of AR and the increasing number of the smartphone users, the study focused on AR filters used in social media.
The purpose of this study was to create a flowchart that would guide aspiring AR filter enthusiasts in choosing the most suitable social media platform to start with. The study objectives were to understand what social AR is, the potential and dangers it holds, the opportunities it provides, and the available tools for its creation: community, programs, AR advertisements. Collaboration with Miranda Rönnberg was also utilized.
The thesis consists of a literature review, primary qualitative research in the form of interviews, and secondary data gathering from a case study involving AR filter creation. The study aimed to reach a Finnish audience, publish the filter, and monitor its performance for 14 days. The study compared three leading social media applications with AR capabilities: TikTok, Instagram, and Snapchat.
The findings showed that Snapchat was the most successful platform in terms of engagement and reaching the intended demographic, while Instagram and TikTok performed relatively less successfully. However, taking into consideration the social nature of the platforms, TikTok’s and Instagram’s focus on short-form videos allowed for a more sustainable reach in the longer timeframe, unlike Snapchat.
The outcome of the study was a coherent guide arranged as a flowchart based on the gathered correlating research data. The guide considered the necessary skill background and the intention behind the utilization of social AR filters.
The purpose of this study was to create a flowchart that would guide aspiring AR filter enthusiasts in choosing the most suitable social media platform to start with. The study objectives were to understand what social AR is, the potential and dangers it holds, the opportunities it provides, and the available tools for its creation: community, programs, AR advertisements. Collaboration with Miranda Rönnberg was also utilized.
The thesis consists of a literature review, primary qualitative research in the form of interviews, and secondary data gathering from a case study involving AR filter creation. The study aimed to reach a Finnish audience, publish the filter, and monitor its performance for 14 days. The study compared three leading social media applications with AR capabilities: TikTok, Instagram, and Snapchat.
The findings showed that Snapchat was the most successful platform in terms of engagement and reaching the intended demographic, while Instagram and TikTok performed relatively less successfully. However, taking into consideration the social nature of the platforms, TikTok’s and Instagram’s focus on short-form videos allowed for a more sustainable reach in the longer timeframe, unlike Snapchat.
The outcome of the study was a coherent guide arranged as a flowchart based on the gathered correlating research data. The guide considered the necessary skill background and the intention behind the utilization of social AR filters.