Year: 2015
Type: dissertation
Abstract: Problem solving activity is the process of delivering a problem from its initial state to the final goal state.Two main sub-activities in problem solving process are planning future state(s) of the problem and transforming the plan into action.The literature indicates that the problem solving environment can have effect on the human problem solving.In this study, the aim is to investigate the possible effect of interaction method on a users' first person feeling (directness) and problem solving performances.The 8puzzle game is used for studying the human problem solving.In particular, this research investigates the possibility of using the tile inter-move latency in 8-puzzle, as an indicator of the user problem solving performance.The same 8-puzzle was implemented by three different interaction methods, Touch, Gaze-augmented, and Simulated speech.We used Gaussian mixture models as an attempt to classify the inter-move latencies, of the 8-puzzle tiles, into planning and action phases as the main sub-activities in problem solving.Manual classification was used as the ground truth of classification for two algorithms, hard k-means and a modified version of soft k-means.As a result, the tiles inter-move latencies could be classified into the abovementioned phases and interaction method directness was found to affect the user problem solving strategy.Also, the modified version of soft k-means could provide 90% accuracy which can help to obtain the threshold between planning and action phases algorithmically. Computing Reviews (1998)
Author: Ehsan Khakifirooz
Language: English
Subfield: Human-Computer Interaction
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W3096816240