userlogs: Userlogs

In MUCollective/multidy: Create 'multiverse analysis' in R

Userlogs

Description

Data collected by Jansen et al. in their study, Evaluating the Efficiency of Physical Visualizations which investigated factors contributing to the efficiency of physical visualizations.

Format

A data frame with 512 observations and 19 variables:

subject

Subject identifier

group

Group / experiment session number in which the participant was involved in the experiment

formerSubject

Yes/No. Whether subject had participated in a previous experiment conducted by Jansen et al.

conditionrank

modalityname

Name of the modality of interaction. One of "Virtual Mouse", "Virtual prop", "Physical touch", "Physical no-touch"

repetition

1/2. Whether the participant was interacting with the visualization for the first time. Participants interacted with visualizations of two different datasets and this variable stores the order.

modality

Index of the modality of interaction

question

Index of question asked to the participant as part of the experiment. Each participant was asked 4 questions. All questions involved a comparison task.

trial

Each participant performed 32 trials. Participants answered 4 questions for 8 different datasets which resulted in 32 trials per participant.

datasetname

Each participant was presented with 8 different datasets through the visualizations. These were: "army", "carmortality", "education" "externaldebt", "grosscapital", "health", "hiv", "military"

readingTime

Time taken by participant to read the visualization in seconds

error

If the question was answered correctly by the participants.

duration

If the question was answered correctly by the participants.

perceivedDifficulty

Self reported perceived difficulty of the task by each participant.

perceivedTime

Self reported perceived time taken to perform the task by each participant.

References

Yvonne Jansen and Pierre Dragicevic and Jean-Daniel Fekete. (2013) "Evaluating the Efficiency of Physical Visualizations." *Proceedings of the SIGCHI Conference on Human Factors in Computing Systems* pp. 2593-2602.

MUCollective/multidy documentation built on Nov. 28, 2024, 3:20 p.m.