An Observation of Problem Spaces Based on Human-Computer Interactions

Abstract

Raising, analyzing and solving problems are the core competitiveness factors of innovative talent. However, to date the mechanism for problem cognition has not been elucidated and still needs to be studied. A problem space is the representation of the sum of cognitive conditions, cognitive objectives, cognitive rules, cognitive impairment, and cognitive situation, and is a high-dimensional manifold. The observation and dimensionality reduction of problem spaces are considered as problem areas. Human-computer coupled cognitive observation is a new method for studying the brain at the information level, and can also be used in the observation of problem spaces. In this paper the human-computer coupled cognitive environment is established and a problem situation is constructed. Additionally problem objects are marked, data for raising problems are collected to establish a set of problem objects, and a tree topology is selected as the structure of the low-dimensional problem space to reconstruct a problem space. It is felt that the observation, dimensionality reduction, visualization, and topologization of problem spaces provide foundations for evidence-based and dynamic studies on problem spaces, as well as providing support for teaching.

Felhasználóközpontú szempontok különböző módú megjelenése a szoftverfejlesztésben: Kvalitatív kutatás a hazai cégek gyakorlatáról

“…Itt különböző kutatási módszerekkel határozzák meg a pontos felhasználói igényeket. A cél a problématér alapos megismerése, tehát a probléma azonosítása és a megoldás definiálása, ami az ember-számítógép interakció területén a szoftver használatához szükséges kognitív és egyéb tevékenységek összességét érinti (Liu et al 2014).…”