The analysis of large movement datasets is a challenging task, because of their size and spatial complexity. This paper presents an interactive geovisual analytics approach named Hybrid Spatio-Temporal Filtering that integrates filtering of multiple movement characteristics, geovisual representations of the data, and multiple coordinated views to enable analysts to focus on movement patterns th...

We analyse the Crowds anonymity protocol under the novel assumption that the attacker has independent knowledge on behavioural patterns of individual users. Under such conditions we study, reformulate and extend Reiter and Rubin’s notion of probable innocence, and provide a new formalisation for it based on the concept of protocol vulnerability. Accordingly, we establish new formal relationship...

This article considers several aspects of the economic decision making of the poor from the perspective of behavioral economics, and it focuses on potential contributions from marketing. Among other things, the authors consider some relevant facets of the social and institutional environments in which the poor interact, and they review some behavioral patterns that are likely to arise in these ...

A mobile guide system that integrates art appreciation instruction with augmented reality (AR) was designed as an auxiliary tool for painting appreciation, and the learning performance of three groups of visiting participants was explored: AR-guided, audio-guided, and nonguided (i.e., without carrying auxiliary devices). The participants were 135 college students, and a quasi-experimental resea...

A society's allocation of working time to entrepreneurial, organizational and learning activities is the main factor behind technical change and economic growth. Building on Lucas (1978) and Kihlstrom and Laffont (1979), in this paper I offer evidence that the amount of working time spent by small business owners in entrepreneurial activities affects the performance of the business and reveals ...

This paper discussed the concept of using three simple sensors to monitor the behavioural patterns of an office occupant. The goal of this study is to capture behaviour information of the occupant without the use of invasive sensors such as cameras that do not maintain a level of privacy when installed. Our initial analysis has shown that data mining can be applied to capture re-occurring behav...

In order to explore the social and behavioral mechanisms behind the therapeutic effects of PARO, a robot resembling a baby seal, we conducted an eight-week-long study of the robot’s use in a group activity with older adults in a local retirement facility. Our research confirms PARO’s positive effects on participants by increasing physical and verbal interaction as evidenced by our behavioral an...

W characterize the effect of anticipated regret on consumer decisions and on firm profits and policies in an advance selling context where buyers have uncertain valuations. Advance purchases trigger action regret if valuations turn out to be lower than the price paid, whereas delaying purchase may cause inaction regret from missing a discount or facing a stockout. Consumers whom we describe as ...

Whether incentive contracts perform better than trust in terms of productive efficiency is usually explored by principal-agent experiments (most involving only one agent). We investigate this issue in the context of a three-person ultimatum experiment, which is simpler and more neutrally framed than traditional principal-agent designs. Contrary to the game theoretic prediction, we find that (mu...

In this paper we describe a novel approach to Data Mining: artificial life forms, called DataBots, simulated in a computer show collective behavioral patterns that correspond to structural features in a high dimensional input space. Movement strategies for DataBots have been found and tested on a real world data set. Important structural properties could be found and visualized by the collectiv...