Stimulus Sampling 360 Dataset

Files

CSV of data: https://github.com/vhilab/psych-360/blob/master/psych-360.csv

Video Files: https://stanfordvr.com/psych-360-videos

CSV File Information

Each row represents a sample, which in this case is a participant watching a video. Each participant watched five videos, so each participant has five rows associated with it.

• location: Locations of the study. Lab 1 and Lab2 are the rooms of our lab and Museum is our booth at The Tech Interactive in San Jose.
• pid: The IDs of the participants. They are unique per location not across locations.
• video: The video the participants watched.
• order: The order of the video from the participant’s perspective.
• age: The age of the participant. (19-/19-25/26-45/45+)
• gender: The gender of the participant. (Female/Male/Other)
• race: The race of the participant.
• experience: Whether the participant had prior VR experience.
• arousal: The arousal level the participant reported after watching the video.
• presence: The presence level the participant reported after watching the video.
• sickness: The simulator sickess level the participant reported after watching the video.
• preference: The preference level the participant reported after watching the video.
• exploration: The proportion of a full 360-degree horizontal sweep participant made watching the video

The first ten results are show below.

location	pid	video	order	age	gender	race	experience	arousal	presence	sickness	preference	exploration
Lab1	5	Pond	1	19-25	Male	White, Caucasian, Non Hispanic	TRUE	2	2.666667	1.0	2.5	0.8944242
Lab1	5	Baboon1	2	19-25	Male	White, Caucasian, Non Hispanic	TRUE	5	3.666667	1.0	5.0	0.4832044
Lab1	5	Concert1	3	19-25	Male	White, Caucasian, Non Hispanic	TRUE	3	2.000000	1.0	1.5	0.4845384
Lab1	5	Rapunzel	4	19-25	Male	White, Caucasian, Non Hispanic	TRUE	5	3.000000	1.0	1.0	0.4024281
Lab1	5	Chickens	5	19-25	Male	White, Caucasian, Non Hispanic	TRUE	3	3.000000	1.0	2.0	1.0000000
Lab1	6	Waterfall3	1	19-25	Female	Chinese	TRUE	5	3.666667	1.0	3.5	0.9329999
Lab1	6	Rocks	2	19-25	Female	Chinese	TRUE	3	3.333333	1.0	3.0	0.8228508
Lab1	6	Forest	3	19-25	Female	Chinese	TRUE	5	4.000000	1.5	1.5	0.7769808
Lab1	6	Bees	4	19-25	Female	Chinese	TRUE	7	3.666667	1.0	4.5	0.5573311
Lab1	6	March	5	19-25	Female	Chinese	TRUE	7	4.000000	1.5	2.5	1.0000000

Each variable is shown descriptively and explored further below.

Identification (Location, PID, and Order)

Note that the unique identifier for a participant is the pair of variables (location, pid).

# When grouping by PID only, how many PIDs have more than 5 rows associated with them?
psych_360 %>% 
  group_by(pid) %>%
  count() %>%
  filter(n != 5) %>%
  nrow

## [1] 59

# Instead, it's better to group by PID and Location if you want participants to be uniquely grouped
psych_360 %>%
  group_by(pid, location) %>%
  count() %>%
  filter(n != 5) %>%
  nrow()

## [1] 0

Video

Age

Gender

Race

Experience

Arousal

Presence

Sickness

Preference

Exploration