Some more embodiment analyses

Here are some more (explorative) analyses from the embodiment data used the Embodiment in character-based video games.

I collected also workload data using raw Nasa TLX when gathering data for EFA and CFA, but then I did not use workload data in analyses. My assumption was that workload would correlate with the embodiment, but did not look at this.

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Embodiment in character-based video games

Petri Lankoski


This is author’s version of the paper. The authoritative version is available via ACM.DOI: http://dx.doi.org/10.1145/2994310.2994320.

The paper is presented at AcademicMindtrek’16, October 17-18, 2016, Tampere, Finland (c) 2016 ACM. ISBN978-1-4503-4367-1/16/10… and published in the conference proceedings.


Abstract

Embodiment is used to denote the sense that something is a part of one’s body. The sense of own body is argued to relate to the sense of agency of one’s own actions and of the ownership of the body. In this sense of own body can incorporate something external to the body, such as simple tools or virtual hands. The premise of the study is that the player-characters and game controllers get embodied in a similar to a tool or a virtual hand. In order to study embodiment, a psychometric scale is developed using explorative factor analysis (n=104). The scale is evaluated with two sets of data (n=103 and n=89) using confirmatory factor analysis. The embodiment scale ended to having two dimensions: controller ownership and player-character embodiment. Finally, the embodiment scale is tested and put into action in two studies with hypotheses 1) embodiment and players’ skills correlate and 2) the sense of presence and embodiment correlate. The data (n=37 and n=31) analysed using mixed effects models support both hypotheses.

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Confidence intervals & credible intervals

This is a note for me.

Confidence intervals: “Are the observed data x reasonable given the hypothesised values of θ?” == P(θ| x)

vs

Credible intervals: “What values of θ are reasonable given the observed data x?” == P(x| θ)

Those are related as “P(θ| x) = P(θ)P(x| θ)”

Credible intervals are part of Bayesian approach.

http://stats.stackexchange.com/questions/2272/whats-the-difference-between-a-confidence-interval-and-a-credible-interval