Communication between healthcare professionals and deaf patients has been particularly challenging during the COVID-19 pandemic. We have explored the possibility to automatically translate phrases that are frequently used in the diagnosis and treatment of hospital patients, in particular phrases related to COVID-19, from Dutch or English to Dutch Sign Language (NGT). The prototype system we developed displays translations either by means of pre-recorded videos featuring a deaf human signer (for a limited number of sentences) or by means of animations featuring a computer-generated signing avatar (for a larger, though still restricted number of sentences). We evaluated the comprehensibility of the signing avatar, as compared to the human signer. We found that, while individual signs are recognized correctly when signed by the avatar almost as frequently as when signed by a human, sentence comprehension rates and clarity scores for the avatar are substantially lower than for the human signer. We identify a number of concrete limitations of the JASigning avatar engine that underlies our system. Namely, the engine currently does not offer sufficient control over mouth shapes, the relative speed and intensity of signs in a sentence (prosody), and transitions between signs. These limitations need to be overcome in future work for the engine to become usable in practice.
Property sharing is one of the most prominent examples of the rapidly expanding sharing economy. Travelers around the world often opt to stay at a stranger's apartment instead of any other tourism accommodation. Trust is essential in this choice, because staying with, or taking in, strangers can entail great risks. To create trust between users, sharing platforms often promote a sense of community. However, the relation between sense of community and trust in the sharing economy is still largely unknown. To investigate this relation, both hosts and guests of two sharing platforms, namely Airbnb and SabbaticalHomes, were surveyed. The findings indicate that sense of community indeed enhances trust between users. Moreover, the evidence suggests that hosts have a stronger sense of community than guests. Also, a significantly higher sense of community was found on the platform where identification between users is higher. This study shows that affect for the community contributes to the understanding of trust in the sharing economy.
In urban planning, 3D modeling and virtual reality (VR) provide new means for involving citizens in the planning process. For municipal government, it is essential to know how effective these means are, to justify investments. In this study, we present a case of using VR in a municipal process of civic participation concerning the redesign of a public park. The process included codesign activities and involved citizens in decision-making through a ballot, using 3D-rendered versions of competing designs. In codesign, 3D-modeling tools were instrumental in empowering citizens to negotiate design decisions, to discuss the quality of designs with experts, and to collectively take decisions. This paper demonstrates that, in a ballot on competing designs with 1302 citizens, VR headsets proved to be equally effective compared to other display technologies in informing citizens during decision making. The results of an additional, controlled experiment indicate that VR headsets provide higher engagement and more vivid memories than viewing the designs on non-immersive displays. By integrating research into a municipal process, we contribute evidence of cognitive and engagement effects of using 3D modeling and immersive VR technologies to empower citizens in participatory urban planning. The case described in the paper concerns a public park; a similar approach could be applied to the design of public installations including media architecture.
