It's not interaction, it's make believe.

A principal, but largely unexplored, use of our cognition when using interacting technology involves pretending. To pretend is to believe that which is not the case, for example, when we use the desktop on our personal computer we are pretending, that is, we are pretending that the screen is a desktop upon which windows reside. But, of course, the screen really isn't a desktop. Similarly when we engage in scenario- or persona-based design we are pretending about the settings, narrative, contexts and agents involved. Although there are exceptions, the overwhelming majority of the contents of these different kinds of stories are not the case. We also often pretend when we engage in the evaluation of these technologies (e.g. in the Wizard of Oz technique we "ignore the man behind the curtain"). We are pretending when we ascribe human-like qualities to digital technology. In each we temporarily believe something to be the case which is not. If we add the experience of tele- and social-presence to this, and the diverse experiences which can arise from using digital technology which too are predicted on pretending, then we are prompted to propose that human computer interaction and cognitive ergonomics are largely built on pretending and make believe. If this premise is accepted (and if not, please pretend for a moment), there are a number of interesting consequences.

Exploring the relationship between impulsivity and decision-making on mobile devices.

Mobile devices offer a common platform for both leisure and work-related tasks but this has resulted in a blurred boundary between home and work. In this paper we explore the security implications of this blurred boundary, both for the worker and the employer. Mobile workers may not always make optimum security-related choices when ‘on the go’ and more impulsive individuals may be particularly affected as they are considered more vulnerable to distraction. In this study we used a task scenario, in which 104 users were asked to choose a wireless network when responding to work demands while out of the office. Eye-tracking data was obtained from a subsample of 40 of these participants in order to explore the effects of impulsivity on attention. Our results suggest that impulsive people are more frequent users of public devices and networks in their day-to-day interactions and are more likely to access their social networks on a regular basis. However they are also likely to make risky decisions when working on-the-go, processing fewer features before making those decisions. These results suggest that those with high impulsivity may make more use of the mobile Internet options for both work and private purposes but they also show attentional behavior patterns that suggest they make less considered security-sensitive decisions. The findings are discussed in terms of designs that might support enhanced deliberation, both in the moment and also in relation to longer term behaviors that would contribute to a better work-life balance.