Investigating the honeypot effect on (semi-)public ambient displays in long-term field studies

在研究大，交互式屏幕，所谓的环境显示器，广泛的调查结果上的各种因素的使用已经被收集。然而，仍然有一个基本的需要研究的影响，越来越多的关注在潜在的用户。在这个项目中，我们正在研究新奇效应，特别是蜜罐效应。到目前为止，触发蜜罐效应的方面还没有得到广泛的研究。这同样适用于蜜罐效应和新奇效应之间的区别。此外，现有的蜜罐效应研究主要考虑了公共空间的蜜罐效应，而忽略了公共空间和半公共空间的蜜罐效应。基于人机交互研究和计算机支持的协同工作领域中实践导向研究方法的动机，我们认为需要在公共和半公共空间的长期现场部署的背景下全面地阐述蜜罐效应，由于这些原因，建议的项目旨在分析在公共和半公共场所的环境展示的长期实地研究中的蜜罐效应。与此同时，我们努力寻找如何在这种基于部署的研究中更清楚地区分新奇和蜜罐效应的方法。除了传统的定性研究方法和对已经自动收集的基于传感器的数据（这里是触摸手势）的处理之外，我们还试图在数据收集和分析中推进自动主义的主题。为此，将开发一种方法框架，该框架允许基于传感器数据对环境显示进行自动和与时间无关的（即24/7）评估。这个框架也是为了利用定性的方法作为反馈的实例，纳入不明确的或补充的事实，如果认为有必要的，因此，除了在不同的情况下蜜罐效应的实际调查，这个项目的重要贡献是示范的新的可能性，自动长期评估的环境显示在半公共或公共空间。这将使其他科学家能够使用自动方法对环境显示进行他们自己的原始现场研究。我们项目的进一步贡献来自于混凝土设计建议的发展。例如，在这些建议的帮助下，行业中的用户体验设计师以及可用性研究人员都可以专门触发，解释和分析蜜罐或新奇效应。

In research on large, interactive screens, so-called ambient displays, a wide range of findings on various factors of use have already been collected. However, there is still a fundamental need for research into the effects of increasing attention among potential users. In this project, we are looking at the novelty effect and especially the honeypot effect. So far, aspects that trigger the honeypot effect have not been studied extensively. The same applies to the distinction between both the honeypot and the novelty effect. Furthermore, existing investigations of the honeypot effect have considered the effect largely in public spaces and have neglected to expand on the differences between public and semi-public spaces.Following the motivation of practice-oriented research approaches in human-computer interaction research as well as in the field of computer-supported collaborative work, we see the need to holistically elaborate on the honeypot effect in the context of long-term field deployments in public and semi-public spaces.For these reasons, the proposed project aims at analysing the honeypot effect in long-term field studies of ambient displays in public and semi-public spaces. At the same time, we strive towards finding ways as to how the novelty and honeypot effect can be more clearly distinguished in such deployment-based research. We also intend to take a closer look at the differences between public and semi-public spaces.In addition to classical qualitative research methods and the processing of sensor-based data already collected automatically (here touch gestures), we seek to advance on the topic of au-tomatism in data collection and analysis. To this end, a methodological framework is to be developed which allows an automatic and time-independent (i.e. 24/7) evaluation of ambient displays based on sensor data. This framework is also meant to leverage qualitative methods as a feedback instance to incorporate unclear or supplementary facts, if deemed necessary.Important contributions of this project are therefore, besides the actual investigation of the honeypot effect in different contexts, the demonstration of new possibilities for automatic long-term evaluations of ambient displays in semi-public or public spaces. This will enable other scientists to conduct their own original field research on ambient displays using automatic methods. Further contributions of our project result from the development of concrete design rec-ommendations. With the help of these recommendations, for example, user experience designers in the industry but also usability researchers can be enabled to specifically trigger, interpret and analyse the honeypot or novelty effect.