Nzoia WeShareIt Situation Awareness Dataset

The data consists of three separate datasets: 1. Detailed responses from 35 respondents to a pre-game and post-game questionnaire using the 10-dimensional subjective rating scale for situation awareness. The scale is known as Situation Awareness Rating Technique (SART). In this dataset are also the detailed calculations of the three aspects of situation awareness (1) the demand on attentional resources (D); (2) the supply of attentional resources (S); and (3) the understanding of the situation (U). The final part of the dataset calculates situation awareness using the following equation: SA=U-(D-S). U represents the summed understanding. D represents the summed demand and S represents the summed supply. 2. The refined situation awareness data that is divided into seven variables. First, Gender where the respondents are divided into males and females. Second, familiarity, where the data is divided in two groups, 1 for low familiarity (pre-game) and 2 for high familiarity (post-game). Low familiarity refers to the normality stage where the respondents have not been exposed to climate change induced disasters. High familiarity refers to the post disaster exposure stage where the respondents are more aware of the climate change risks. Third, the data is divided into seven teams. There were seven game sessions and each game session had five players. The teams are grouped from 1 (first game session) to 7 (last game session). The fourth variable is the summed demand score for each of the respondents for the pre-game and post-game sessions. The fifth variable is the summed supply score for each of the respondents for the pre-game and post-game sessions. The sixth variable is the summed understanding score for each of the respondents for the pre-game and post-game sessions. The seventh and last variable is the situation awareness score for each of the respondents for the pre-game and post-game sessions. 3. The in-game data for the results (number of smileys) for each of the respondents, in all the seven game sessions during every successive round (6 rounds per session). Smileys are calculated differently for each county government. The smiley score is a sum of the food, environment and investment in public service smileys. The game design and calculation of the scores are detailed in the Game Design report that can be accessed in the TU Delft repository.

本数据集包含三个独立子数据集：1. 35名受访者完成的赛前、赛后问卷详细反馈，问卷采用针对情境感知的10维主观评定量表（10-dimensional subjective rating scale for situation awareness），该量表名为情境感知评定技术（Situation Awareness Rating Technique, SART）。此子数据集还包含情境感知三方面的具体计算结果：(1) 注意资源需求（D）；(2) 注意资源供给（S）；(3) 情境理解度（U）。该数据集的最后一部分通过以下公式计算情境感知得分：SA=U-(D-S)，其中U为总情境理解度，D为总注意资源需求，S为总注意资源供给。2. 经过整理的情境感知数据，共分为7个变量：第一变量为性别，将受访者划分为男性与女性两组；第二变量为熟悉度，分为两类，1代表低熟悉度（赛前阶段），2代表高熟悉度（赛后阶段）。低熟悉度指受访者未经历气候变化引发灾害的常态阶段，高熟悉度指受访者已接触灾后场景、对气候变化风险更为了解的阶段；第三变量为组别，共分为7支队伍，对应7场游戏场次，每场游戏配备5名玩家，组别编号从第1场的1至最后一场的7；第四变量为每位受访者在赛前、赛后阶段的总注意资源需求得分；第五变量为每位受访者在赛前、赛后阶段的总注意资源供给得分；第六变量为每位受访者在赛前、赛后阶段的总情境理解度得分；第七变量即最后一个变量，为每位受访者在赛前、赛后阶段的情境感知总得分。3. 7场游戏所有轮次（每场含6轮）中每位受访者的游戏内数据（笑脸数量）结果。不同县级政府的笑脸数量计算方式存在差异，笑脸总得分由食品、环境与公共服务投资三类笑脸得分求和得到。该游戏的设计与得分计算细节可在代尔夫特理工大学（TU Delft）仓储库中的《游戏设计报告》内查阅。