Gentle stroking touches are rated most pleasant when applied at a velocity of between 1–10 cm/s. Such touches are considered highly relevant in social interactions. Here, we investigate whether stroking sensations generated by a vibrotactile array can produce similar pleasantness responses, with the …

In this chapter we discuss the main impediments to the adoption of reverse factoring (RF) by suppliers in the logistics services business. Although the usage of RF is ascending, empirical evidence on RF and its implementation, especially from the point of view of suppliers, is scarce. The project reported …

At the end of January 2015 I was given a research assignment formulated and sponsored by two professors of professorships (hereafter lectoraten) associated with the Academy for Social Studies (SASS), and the manager of Professionals and Bedrijven (hereafter P&B). At a later stage, the research was expanded …

We present a novel anomaly-based detection approach capable of detecting botnet Command and Control traffic in an enterprise network by estimating the trustworthiness of the traffic destinations. A traffic flow is classified as anomalous if its destination identifier does not origin from: human input, …

Organisations are increasingly becoming interdependent in order to create and deliver superior value to their customers. The resulting business mod- els of such organisations are becoming increasingly complex and difficult to de- sign, because they have to deal with multiple stakeholders and their competing …

We present a method for measuring gait velocity using data from an existing ambient sensor network. Gait velocity is an important predictor of fall risk and functional health. In contrast to other approaches that use specific sensors or sensor configurations our method imposes no constraints on the elderly. …

This paper explores a method for deducing the affective state of runners using his/her movements. The movements are measured on the arm using a smartphone’s built-in accelerometer. Multiple features are derived from the measured data. We studied which features are most predictive for the affective state …

Ubiquitous computing, new sensor technologies, and increasingly available and accessible algorithms for pattern recognition and machine learning enable automatic analysis and modeling of human behavior in many novel ways. In this introductory paper of the 6th International Workshop on Human Behavior …

Technology designed to sense behavior, often neglects to directly incorporate subjective input from (elderly) users. This paper presents experiences in deploying technology that considers the elderly user and their subjective input as a way to enrich sensor data systems and empower the user. For this …