Privacy policies as a means of communicating with customers still prove ineffective. Researchers have recently suggested that a specific usage context should be considered to make privacy notices more relevant to users. To explore this approach further, we conducted an explorative online survey of privacy concerns and privacy information preferences with 642 participants for two different contexts (loyalty cards and fitness tracking). Our data shows some support for the suggestion that context may be a significant moderator of concerns and preferences. However, the corresponding effects are rather small and limited to specific concerns and information categories. In line with other research, the data supports the known hierarchy of concerns regarding unauthorized secondary use and improper data access, which seem to exceed concerns about erroneous data processing or excessive data collection in both contexts. Furthermore, participants considered information on personal rights and processing purposes more relevant than information on contact persons.

Despite the advent of a flurry of digital technologies, paper prevails on manufacturing shopfloors. To understand the roles and value of paper on the shopfloor, we have studied the manufacturing practices at two state-of-the-art automotive supplier facilities, applying ethnographic fieldwork, in-depth interviews, as well as photo and document analysis. We find that paper has unique affordances that today's digital technologies cannot easily supplant on current shopfloors. More specifically, we find four paper practices: (1) creating and adapting individual information spaces, (2) reinterpreting information, (3) combining information handover with social interaction, and (4) visual cuing. We discuss these practices and the unique affordances of paper that currently support shopfloor workers and also consider the limitations of paper, which are becoming increasingly apparent, since more tasks increasingly depend on real-time information.

In this article, we report on design insights found during the evaluation of an innovative IT-artifact to support financial service encounters. Relating to previous work in this field, we carefully designed the artifact to omit any visualization and enforcement of rigid process structures, as those had turned out to be harmful. Our main design element was a mind-map-like content hierarchy to capture the client's situation. Surprisingly, we noticed that both clients and advisors talked about every information item visible on the screen just for the sake of completeness. They also followed a sequential process apparently inferred from the content hierarchy. We call this phenomenon "coercing into completeness". This phenomenon negatively influences the conversation between client and advisor inducing shorter discussion units and sudden, incomprehensible topic shifts. This article contributes an exploration of this phenomenon and its effects on the collaborative setting.

Recent research has shown that financial advisory encounters can successfully be supported with IT-artifacts. Tabletop scenarios, for example, can increase the transparency of the advisory process for customers. However, we have also had the experience that the relationship quality as experienced by customers can suffer severely when IT-artifacts are introduced. Based on these experiences, we developed guidelines for both, the artifact- design itself as well as for the environment in order to avoid this effect, and implemented them in one of our prototypes. The evaluation reveals that these measures proved to be effective. With the reported study, we seek to enhance our design knowledge of IT-supported advisory scenarios with a special focus on relationship building. In a larger context, we argue that the use of IT during sensitive face-to-face encounters will be of growing significance in the future but, as yet, is hardly understood. We make a contribution in this area with our generic requirements, design principles and evaluation.

In Automotive business, the quiescent supply current test (IDDQ) is a widely used and valuable test method to screen out production failures and reach the required low defective parts per million (DPPM) quality targets. Automatic Test Pattern Generation (ATPG) tools can generate scan based IDDQ patterns with high test coverage for Pseudo Stuck-At (PSA) faults. Functional pass but IDDQ failing devices need to be diagnosed for various purposes. In this paper a fast simulation based method is proposed to diagnose IDDQ failures with single or multiple defects for digital circuitry. The results are verified on real silicon for several 130nm Automotive designs. Furthermore automation of the diagnosis method for high volume diagnosis similar to scan volume diagnosis is shown in the paper outlook.