Multimethod UX triangulated approach for multiuser interface evaluation

用户界面的开发和测试通常考虑到单个用户。然而，很大一部分界面经常同时由两个或更多用户使用！例如，在家庭方面，许多重要的购买(如车辆、房屋、旅行安排)涉及多个用户在交易前通过单一界面进行在线搜索，根据益普索的数据，这占在线家庭购买的高达53%。由于2018年电子商务在加拿大是一个42.6亿美元的行业，对加拿大零售商来说，推进多用户界面(MUI)评估领域的知识和方法至关重要。鉴于其重要性，MUI环境中的用户体验(UX)主题研究不足，改进的MUI设计可能会对多个部门产生巨大的生产力影响。 这个项目是基于我在过去几年中作为UX的NSERC工业研究主席(IRC)所取得的相当大的进步。我的研究项目专注于在真实的人机交互(HCI)环境中理解用户的认知和情感状态。为了准确捕获用户的状态，我使用与神经科学和心理生理学领域相关的方法来获取和分析多模式神经生理数据。我的研究在学术界和工业界产生了很大的影响，因为它使得通过考虑用户的实际体验来执行新软件界面的UX评估成为可能。因此，该提案提出了一项研究计划，该计划将侧重于开发新的方法、工具和措施，以测试涉及两个或更多个人在享乐主义和工具性背景下的广泛的多用户界面。为此，该计划提出了几个研究方向，以加深我们对这一现象的了解，同时也提高了多用户体验的测量和可视化的有效性、可靠性和诊断性。这个研究项目主要依赖于HEC Montréal的世界级和CFI资助的Tech3Lab(T3L)，该实验室是我与人共同创立和联合指导的。该研究计划依赖于一系列实验，这些实验将在位于Tech3实验室的实验小组房间进行。在实验期间，将使用广泛的神经生理学测量来捕捉受试者的认知、情绪和注意力状态。 这笔研究资金将使我们能够为发现铺平道路，这些发现将使我们保持长期的科学领导地位，并在我们所在领域的领先期刊上发表文章。这些进展将使加拿大工业直接受益，这些工业需要站在数字转型的前沿，特别是在电子商务的关键部门。我预计我的博士和硕士学生在学术和研究实验室的就业率将保持100%，其中绝大多数在加拿大的组织和大学。

User interfaces are generally developed and tested with a single user in mind. However, a significant portion of interfaces are very often simultaneously used by two users or more! For example, in a household context, many important purchases (e.g., vehicle, house, travel arrangements) involve an online search by multiple users through a single interface prior to the transaction, which account for up to 53% of online household purchases according to Ipsos. As e-commerce is a $4.26 billion industry in Canada in 2018, it is crucial for Canadian retailers to advance knowledge and methods in the field of multi-user interface (MUI) evaluation. Given its importance, the subject of user experience (UX) in a MUI context is understudied and improved MUI design could have massive productivity implications across multiple sectors. This program is based on the considerable advancements that I have been able to achieve as the NSERC Industrial Research Chair (IRC) in UX, over the past few years. My research program is focused on understanding the cognitive and emotional states of users in authentic human-computer interaction (HCI) contexts. To accurately capture the user's states, I use methods associated with the fields of neuroscience and psychophysiology in order to acquire and analyze multimodal neurophysiological data. My research has a strong impact in academia and industry as it makes it possible to perform a UX evaluation of new software interfaces by taking into account what the user actually experiences. This proposal thus puts forward a research program that will focus on developing new methodologies, tools and measures for testing wide range of multi-user interfaces involving two or more individuals in both hedonic and instrumental contexts. To do so, the program proposes several research directions to further our knowledge of this phenomenon, but to also improve the validity, reliability and diagnosticity of the measurement and visualisation of multi-user experience. This research program relies primarily on HEC Montréal's world-class and CFI-funded Tech3Lab (T3L), which I co-founded and co-direct. The research program relies on a series of experiments that will be undertaken in an experimental group room located in the Tech3Lab. During the experiment, a wide range of neurophysiological measures will be used to capture the subjects' cognitive, emotional and attentional states. This research funding will allow us to pave the way for discoveries that will enable us to maintain our long-term scientific leadership, in addition to being published in leading journals in our fields. These advances will directly benefit Canadian industry which needs to establish itself at the forefront of the digital transformation, especially in the critical sector of e-commerce. I expect that the 100% placement rate of my PhD and MSc students will be maintained in both academic and research labs, the vast majority of them in Canadian organizations and universities.