Perceptive qualities

Month: October 2013


The perceptive qualities focus on the connection between people and the smart things. The system should both perceive people and be perceived by people. Moreover, a smart thing should be able to perceive other smart things around it, and allow people to perceive these connections. Consequently, the perceptive qualities should be designed such that people can understand how smart things in an environment connect, interact and function.

We will base our study on the research work on perceptual crossing (Deckers, et al., 2012). The figure below shows the descriptive model on perceptual crossing between a person and a designed object.
Using this model, Deckers could describe clearly the relation between a person and an interactive object from an interaction perspective, rather than from a functional perspective. The design notions for perceptive qualities in interaction (Deckers, 2013) are a comprehensive set of design considerations for creating highly interactive artifacts. For example, ‘react to external event‘ provides design considerations on how an artifact should properly react to external and unexpected events so that people can understand that the artifacts are sensitive too, and how they can act or interact in the environment. In this research, we will apply the notions of designing for perceptual crossing (Deckers, et al, 2012) towards the design of interaction qualities between many smart things and many people.
The aim is to be able to describe the interactions between people and smart things, and the way one perceives and interacts within the system. First, this should support designers to comprehend how systems of smart things gather information from their environments and human counterparts (Funk, et al., 2009), and, second, how smart things can express, for instance, available actions or configuration possibilities in the specific context at the moment (Marquardt & Greenberg, 2012). This result might be a general and prescriptive framework for the connections to be perceivable and comprehensible, helping to enhance users’ interaction with the smart things.