Devices in our home are becoming more intelligent and increasingly communicating with each other via the internet. This Internet of Things supports daily activities and increases ease of use and safety at home. As a user, you have to make a trade-off between your privacy and functionality. These kinds of decisions are difficult and mistakes and inconsistencies in privacy settings are easily made. Moreover, privacy settings are often still hidden deep in the interface and difficult to use. By observing the decision-making process, this research aims to better understand how, when and why these types of privacy decisions often fail.

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Trust is identified by medical ethicists as a fundamental value in medicine. It is typified by the doctor-patient relationship, in which a patient?s trust in her physician is essential for effective communication and conducive to shared ethical responsibility for choices and outcomes. Telecare, the practice of medicine using information and communication technology to monitor and treat patients at home, redefines the relationship between patient and clinician and moves health care to a new context. It promises to reduce health care costs and produce better outcomes, but it also impacts patient trust. This study aims to find out how chronically ill patients establish trust in telecare, and when this trust is well-grounded. Patients, clinicians and designers associated with a private company will be interviewed, and an extensive database of existing patient survey data will be analyzed. An ethical framework will be used to analyze the expectations and reasons grounding trust attitudes among chronically ill telecare patients. Although there have been substantial studies in science and technology studies of the new rhetoric, routines, and roles that accompany telecare, these studies have not yet been brought to bear on policy, medical ethics, and the ethics of technology design. The present study provides a bridge between the theoretical understanding of telecare and the societal evaluation of telecare in terms of concepts such as responsibility, privacy, legitimacy, autonomy, freedom, and independence. It also generates preliminary recommendations for technology and human interface design of future telecare applications both in the Netherlands and abroad.

Prompt and timely response to incoming cyber-attacks and incidents is a core requirement for business continuity and safe operations for organizations operating at all levels (commercial, governmental, military). The effectiveness of these measures is significantly limited (and oftentimes defeated altogether) by the inefficiency of the attack identification and response process which is, effectively, a show-stopper for all attack prevention and reaction activities. The cognitive-intensive, human-driven alarm analysis procedures currently employed by Security Operation Centres are made ineffective (as opposed to only inefficient) by the sheer amount of alarm data produced, and the lack of mechanisms to automatically and soundly evaluate the arriving evidence to build operable risk-based metrics for incident response. This project will build foundational technologies to achieve Security Response Centres (SRC) based on three key components: (1) risk-based systems for alarm prioritization, (2) real-time, human-centric procedures for alarm operationalization, and (3) technology integration in response operations. In doing so, SeReNity will develop new techniques, methods, and systems at the intersection of the Design and Defence domains to deliver operable and accurate procedures for efficient incident response. To achieve this, this project will develop semantically and contextually rich alarm data to inform risk-based metrics on the mounting evidence of incoming cyber-attacks (as opposed to firing an alarm for each match of an IDS signature). SeReNity will achieve this by means of advanced techniques from machine learning and information mining and extraction, to identify attack patterns in the network traffic, and automatically identify threat types. Importantly, SeReNity will develop new mechanisms and interfaces to present the gathered evidence to SRC operators dynamically, and based on the specific threat (type) identified by the underlying technology. To achieve this, this project unifies Dutch excellence in intrusion detection, threat intelligence, and human-computer interaction with an industry-leading partner operating in the market of tailored solutions for Security Monitoring.

How can psychologists generate reliable empirical knowledge most efficiently when we take into account statistical aspects of doing research, as well as the resources and goals researchers have in experimental research? This project will examine possible best practices and develop recommendations that will make psychological research more reliable and efficient.