Lo-Fi Beats (image pulled from here):
- I am looking at how people use the Lo-Fi beats live-streams, how viewers form connections with the animation, and what effects the music might have on concentration.
- The beginnings of this work will be published in the live streaming special topic of Interactions
Masks: A Simulated Social Media
- I’ve created a simulated social media using the Truman system detailed here.
- Based on research on how people exhibit OCEAN traits on social media, I’ve attempted to create personas for each pole of OCEAN traits. The goal of the simulation is to identify which users have which “masks”.
- If you are curious and want to try for yourself, visit here!
Changed Personality on Social Media:
- We investigated people’s perceptions of self in social media using personality. We first compared offline and Facebook traits on the OCEAN personality scale and found that on Facebook, people were less Neurotic, Open, and Agreeable.
- A second study compared Facebook, Snapchat, and offline traits and found that Facebook was still less neurotic and Open than offline, but Snapchat was more Extravert than either and more Open than Facebook.
- These differences seem to be drawn from affordances of the media. For example, people’s anxiety about social judgment leads to the curation of online social media posts to appear less Neurotic. Also, one of the unique aspects of Snapchat (the transience of the posts) promotes higher Extraversion.
- We have also expanded into Instagram, comparing real Instagram accounts (“Rinsta”) with fake Instagram (“Finsta”) accounts. We found that personality differences between the different types of accounts and linked these to audience and self-presentation differences between the two types of accounts
- We have conducted a third study comparing texting, video chat, and offline personality traits as a way to explore media other than social media. We again see differences between the media, although results are not yet completed.
Terms of Service
- We are trying to build new ways of reading and understanding a terms of service document.
- The first study is using a user generated heat map of sentiment in order to help readers better understand a terms of service document.
- The second study is using highlighting as well as a novel contract popup, which allows users to make selections within a terms of service. We anticipate this will increase user engagement with notoriously long and boring terms of service documents.
These projects are still in progress. Please email at firstname.lastname@example.org if you are interested in collaborating.