Fulcra

Made by Ryan J.A. Murphy using Quartz, © 2022

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Tags: highlights, tech, research, design Link: https://pubsonline.informs.org/doi/abs/10.1287/isre.2019.0839?af=R Summary: These authors are experimenting with dynamic experiences, algorithmically tuned to the engagement state of a player. Interesting, if also scary. Twitter: Algorithmic, dynamic adjustment of gameplay based on a gamer’s engagement… as if we didn’t have enough addiction mechanisms in technology. Date: Fri, 29 Nov 2019 12:14:16 -0700

# “Level Up”: Leveraging Skill and Engagement to Maximize Player Gameplay

We find that high-, medium-, and low-engagement-state gamers respond differently to motivations, such as feelings of effectance and need for challenge. In the second stage, we use the results from the first stage to develop a matching algorithm that learns (infers) the gamer’s current engagement state “on the fly” and exploits that learning to match the gamer to a round to maximize game-play. Our algorithm increases gamer game-play volume and frequency by 4%–8% conservatively, leading to economically significant revenue gains for the company.

As ever with this kind of mechanism, are we sure we want this to exist..? The potential is no doubt powerful. Imagine interactive TV shows that modulate what they’re presenting based on readings of the viewer… Hrm.