SmartMMI presents 4 (four) scientific papers at the virtual international conference Human Computer Interaction International (HCII) 2020. The HCI is one of the largest conferences in the field of Human Computer Interaction. Due to the corona pandemic, this year’s conference did not take place in Copenhagen between 19 and 24 July as planned, but for the first time in its history completely online. The four scientific contributions reflect the current research focus of the project.
The evaluation of people’s mobility is crucial for understanding traffic, traffic security and the effects of traffic planning. In this paper, we present our toolbox for analyzing and evaluating aspects of different mobility modes. Some of these tools support the participation of road users in the analysis. The tools either can be applied to implement analyses for planning purposes or for the evaluation of implemented measures. Our goal is to improve the understanding of mobility in all its facets and ultimately to increase user comfort, safety and the overall user acceptance in urban mobility.
Passengers in public transport expect passenger information to be exact, timely and appropriate to their situation. Therefore, future passenger information systems should adapt to the passenger’s context as precisely as possible. In this paper, we present a context model and describe our architecture for an adaptive, multi-device passenger information system. We will also present adaptation scenarios that show the application of our context model.
User studies to evaluate public transport systems are often hard to set up. While field tests provide important insight into realworld usability of public transport systems, they are also complex and expensive. Especially in early development stages of public transport related systems, field tests are not appropriate. However, usability of public transport systems is often depending on “real-life” context factors that are hard to reproduce in lab-based user studies. We have developed a mockup of a tram or train compartment that can be flexibly used to create a public transport experience in user studies. In this paper we will describe our experiences and recurring challenges with user studies in public transport, the design and set-up of our mockup, as well as give an insight into its applications in studies we conducted and lessons we learned.
Adaptive passenger information for an enhanced mobility experience may be the next step towards a smart public transport. In our research project, we have developed a multi-device evaluation approach for adaptive passenger information systems of mobile public displays. An adaptive passenger information system needs to be aware of the passenger’s context. In order to fulfill this requirement, we use the passenger’s personal devices like smartphones or smart watches as context sources. In this paper, we describe our approach of a multidevice passenger information system evaluation focusing on privacy aspects. We present three different methods of pseudonyms that were used to visually link the personal information on passenger’s private devices with the displayed information on the public display. In addition, we report on our evaluation results from a user study evaluating the acceptance and the intelligibility of the used visual pseudonyms.
