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D-Cog

Similar to Cats and Dogs, D-Cog presents an array of boxes that briefly reveal their contents — the participant must select boxes with dogs behind them. If all correct, the next level adds 2 more boxes and 1 more dog; if incorrect, the next level has 2 fewer boxes and 1 less dog. The number of boxes caps at 10, and the game lasts no longer than 2 minutes. Similar to the iBOCA3 counterpart. The game uses a 2-parameter logistic IRT (Item Response Theory) model for scoring, providing an ability estimate on a 0-10 scale rather than a simple percentage.

ActivitySpec: lamp.dcog

Cognitive domain: Visual and working memory, attention, response control, set-shifting

Configuration

The game automatically progresses as levels are completed. No researcher-defined customization is necessary.

Sample Instructions

"When the squares turn white, tap where the dogs were."

Usage

The participant sees an array of boxes. The boxes briefly reveal their contents (dogs, cats, or nothing) for 2 seconds, then return to their closed state. The participant must tap the boxes where dogs were hidden. No-response rounds are not counted as successes. Difficulty adapts based on performance.

Scoring

Scoring is based on the number of dogs remembered correctly across trials.

References
  1. Weil, R. S. et al. (2017) The cats-and-dogs test: a tool to identify visuoperceptual deficits in Parkinson's disease. Movement Disorders, 32(12), 1789-1790. DOI: 10.1002/mds.27176

Screenshots

D-Cog gameplayD-Cog end screen

Data

static_data

FieldTypeDescription
correct_answersnumberCorrect taps
wrong_answersnumberIncorrect taps
total_questionsnumberTotal dogs shown
scorenumberIRT-based ability estimate (0-10 scale)
pointnumber2 if score = 100, else 1
is_favoritebooleanWhether the participant favorited this activity
questionnaireobjectPost-game ratings: clarity (1-5), happiness (1-5)

temporal_slices

FieldTypeDescription
itemnumberBox number tapped
valuenullUnused
typebooleantrue = correct, false = incorrect
durationnumberTime since last tap (ms)
levelnumberNumber of dogs on screen (difficulty level)

Cortex Features

dcog (raw). No primary or secondary Cortex features currently process D-Cog data.

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