In Human-Computer Interaction (HCI) research, awareness for the relevance of diversity of users is increasing. In this work, we analyze whether the articulated need for more diversity-sensitive research led indeed to a higher consideration of diversity in HCI research. Based on a comprehensive collection of diversity dimensions, we present results of a quantitative content analysis of articles accepted in the Proceedings of the Conference on Human Factors in Computing Systems 2006, 2011, and 2016. Results demonstrate how many and how intensively diversity dimensions were considered, and moreover highlight those dimensions that have so far received less attention. Uncovering continuous and discontinuous trends across time and differences between subfields of research, we identify research gaps and aim at contributing to a comprehensive understanding of diversity supporting diversity-sensitive research in HCI.

In this paper, we evaluate the influence of different VR rendering styles on the QoE of users of a training application. To this end, we present the results of a lab-based QoE study featuring a virtual manufacturing training setting in which participants were asked to correctly allocate spare parts to mounting locations inside and outside a vehicle using an HTC Vive VR Setup. We evaluate how five different rendering styles (defined by rendering technique and shader used), ranging from point cloud to highly photo-realistic, affect different quality dimensions such as perceived visual quality, task difficulty, spatial orientation ability, and discomfort (including cyber-sickness). Our results show that while rendering style has a significant impact on QoE and other dimensions (like task completion time), a standard shader already can provide sufficient quality to support the provided training task and can even outperform rendering styles using more sophisticated techniques like ambient occlusion. Furthermore, we also discuss significant influence of user-related factors like previous experience with VR or gender as well as other related critical issues to be considered in VR training application and assessment study design.

Help Radar consists of a ubiquitous assistance service which enables immigrants to connect with volunteers, who in turn provide information on a variety of topics, guidance and practical assistance. The system was developed to foster the early integration of immigrants in the host country. In this paper, we present the methodological approach and results obtained from the field evaluation of Help Radar which involved Turkish immigrants in Graz, Austria, as well as immigrants from Latin-American and Arabic speaking countries in London, United Kingdom. During and after the field phase, quantitative and qualitative data were gathered to determine the usage activity, satisfaction, privacy concerns and trust towards the system. Based on results differences in usage among the involved user groups, types of assistance received and potentials of Help Radar toward immigrants' integration are discussed.