Laboratory for Complex Brain Networks, Winston-Salem, North Carolina.
Graduate Neuroscience Program, Wake Forest School of Medicine, Winston-Salem, North Carolina.
Alcohol Clin Exp Res. 2019 Dec;43(12):2559-2567. doi: 10.1111/acer.14214. Epub 2019 Nov 1.
The study of alcohol use frequency utilizes alcohol-related cue imagery. Although a number of alcohol-image databases currently exist, they have several limitations: Many are not publicly available, some use stock images or clip art rather than real photographs, several eliminate any photographs displaying brand information, and predominantly they contain relatively few images. The aim of this project was to develop a large, open-access database of alcohol-related cue images, containing photographs with and without brand information, taken in real-world environments, with images in a variety of orientations and dimensions.
The study collected 1,650 images voluntarily from the larger community, to capture photographs with a wide range of content, environments, and relation to alcohol. All images were then rated on scales of valence, arousal, and relation to alcohol by 1,008 Amazon Mechanical Turk workers, using classical emotion validation methods based on the International Affective Picture System (IAPS). Survey respondents were screened with the Alcohol Use Disorders Identification Test (AUDIT), and Cronbach's alpha scores were calculated to determine the interrater reliability of scores across the whole sample, and within low-risk, moderate-risk, and high-risk drinkers for each rating domain. Univariate ANOVAs were run to determine differences in ratings across drinking groups.
All Cronbach's alpha scores indicated high interrater reliability within the whole sample, and across drinking severity groups. Tukey's HSD post hoc results indicated greater arousal and affect in response to image viewing in moderate- and high-risk drinkers, and higher relation-to-alcohol ratings in low-risk drinkers. All images had categorization tags assigned by members of the study team.
The established imagery set includes 1,650 alcohol-related images, rated on scales of valence, arousal, and relation to alcohol, and categorized by type of alcohol depicted. The imagery database will be available for open-access download and use through Google Photos.
研究饮酒频率利用了与酒精相关的线索意象。虽然目前有许多酒精图像数据库，但它们存在一些局限性：许多数据库不可公开获取，有些使用库存图像或剪贴画而不是真实照片，有些则消除了任何显示品牌信息的照片，而且它们主要包含相对较少的图像。本项目旨在开发一个大型的、可公开访问的酒精相关线索图像数据库，其中包含带有和不带有品牌信息的真实环境拍摄的照片，照片的方向和尺寸也多种多样。
该研究从更广泛的社区中自愿收集了 1650 张图像，以捕捉内容广泛、环境多样且与酒精有关的照片。然后，使用基于国际情感图片系统（IAPS）的经典情感验证方法，由 1008 名亚马逊土耳其机器人工人对所有图像进行了效价、唤醒度和与酒精关系的评分。调查受访者使用酒精使用障碍识别测试（AUDIT）进行筛选，并计算克朗巴赫α分数，以确定整个样本以及低风险、中度风险和高风险饮酒者在每个评分领域的评分者间可靠性。进行单因素方差分析，以确定不同饮酒组之间的评分差异。
所有克朗巴赫α分数均表明整个样本以及不同饮酒严重程度组内的评分者间具有高度可靠性。在中度和高风险饮酒者中，对图像观看的唤醒度和影响更大，而在低风险饮酒者中，与酒精的关系评分更高。研究小组的成员为所有图像分配了分类标签。
所建立的意象集包括 1650 张与酒精相关的意象，对效价、唤醒度和与酒精的关系进行了评分，并按所描绘的酒精类型进行了分类。该意象数据库将通过 Google 相册提供开放获取下载和使用。
