SmoCuDa

SmoCuDa provides a validated database of smoking-related images with per-image ratings to support research into cue-induced nicotine craving, valence, and arousal in tobacco use disorder.

Key Features:

• Image corpus: 250 smoking-related images supplemented by 80 pictures from previously published databases, totaling 330 visual cues.
• Licensing: Images sourced under Creative Commons licenses.
• Content diversity: Images include varied depictions of cigarettes, ashtrays, and smokers across different ages and genders.
• Categorization: Images are organized into 18 distinct categories, including lit/unlit cigarettes in mouth, cigarette end, and cigarette in ashtray.
• Validation sample: Validation involved 40 volunteers with tobacco use disorder who provided ratings for each image.
• Rating scale: Each image was rated on a 100-point visual analogue scale for "urge-to-smoke", "valence", and "arousal".
• Summary statistics: Mean ± SD values reported: urge-to-smoke 44.9 ± 13.2, valence 51.2 ± 7.6, arousal 54.6 ± 7.1.
• Cross-validation set: An additional set of 80 images from published databases was included for cross-validation purposes.

Scientific Applications:

• Cue-reactivity studies: Assess cue-induced craving intensity across a broad stimulus range in tobacco use disorder.
• Neurobehavioral research: Investigate neural and behavioral correlates of nicotine addiction using parametrically rated visual cues.
• Stimulus selection: Select stimuli matched by rated urge, valence, or arousal for experimental manipulations.
• Cross-dataset validation: Validate or compare smoking-related stimuli across published image sets.

Methodology:

Forty volunteers with tobacco use disorder rated each image on a 100-point visual analogue scale for "urge-to-smoke", "valence", and "arousal"; images were categorized into 18 categories and mean ± standard deviation values were computed for each dimension, with an additional 80 images included from published databases for cross-validation.