Data underlying the publication "Attributes for consumer acceptance of alternative food products"

Digital dietary coaches can supplement current approaches for guiding consumers towards healthier behaviour. <br>In addition to taking into account the individual client’s health status, digital coaches must also link to her or his personal preferences and habits and to <br>any contextual factors such as location and time of the day. We address the question which food attributes are needed to generate an advice that is fully personalised and situational.<br>The data in this replication package is the result of a crowd-sourced experiment. The goal of the experiment was to obtain insight in which food attributes people use when expressing their preferences in food choice.<br>We used the cohort of the Nature Today app. The number op people in the cohort is 32.000.<br>From the cohort, 770 participants responded to a request to join our survey. Each participant had to answer the same ten questions in Dutch.<br>

数字化饮食指导系统可作为现有引导消费者践行健康行为方案的有益补充。
此类系统不仅需考量服务对象的个体健康状况，还需结合其个人饮食偏好与习惯，以及所处位置、当日时段等各类情境因素。本研究旨在探究：为生成具备完全个性化与情境适配性的饮食建议，究竟需要涵盖哪些食物属性特征。
本复现包（replication package）中的数据源自一项众包实验（crowd-sourced experiment）。该实验的目标是探明人们在表达食物选择偏好时，所依托的食物属性特征维度。
我们的研究样本取自《Nature Today》应用的用户队列，该队列总人数达32000人。
该队列中共有770名参与者响应了参与本调研的邀请，每位参与者需用荷兰语完成全部10道问卷题目。