scholarly journals A GOAL QUESTION METRIC (GQM) APPROACH FOR EVALUATING INTERACTION DESIGN PATTERNS IN DRAWING GAMES FOR PRESCHOOL CHILDREN

2017 ◽  
Vol 10 (2) ◽  
pp. 96
Author(s):  
Dana Sulistiyo Kusumo ◽  
Mira Kania Sabariah ◽  
Kemas Rahmat Saleh Wiharja
Keyword(s):  
Preschool Children ◽  
Interaction Design ◽  
Design Patterns ◽  
Smart Devices ◽  
User Research ◽  
Educational Benefit ◽  
Children Education ◽  
Goal Question Metric

In recent years, there has been an increasing interest to use smart devices’ drawing games for educational benefit. In Indonesia, our government classifies children age four to six years old as preschool children. Not all preschool children can use drawing games easily. Further, drawing games may not fulfill all Indonesia's preschool children’s drawing competencies. This research proposes to use Goal-Question Metric (GQM) to investigate and evaluate interaction design patterns of preschool children in order to achieve the drawing competencies for preschool children in two drawing Android-based games: Belajar Menggambar (in English: Learn to Draw) and Coret: Belajar Menggambar (in English: Scratch: Learn to Draw). We collected data from nine students of a preschool children education in a user research. The results show that GQM can assist to evaluate interaction design patterns in achieving the drawing competencies. Our approach can also yield interaction design patterns by comparing interaction design patterns in two drawing games used.

Human-Robot Interaction Design Using Smart Device Based Robot Partner

2019 ◽  
pp. 119-140
Author(s):  
Jinseok Woo ◽  
Naoyuki Kubota
Keyword(s):  
Nonverbal Communication ◽  
Interaction Design ◽  
Human Robot Interaction ◽  
Smart Devices ◽  
Smart Device ◽  
Design Support ◽  
Motion Patterns ◽  
Software Modules ◽  
Content Design ◽  
Design Support Environment

Nowadays, various robot partners have been developed to realize human-friendly interactions. In general, a robot system is composed of hardware modules, software modules, and application contents. It takes much time to design utterance contents and motion patterns as application contents simultaneously, but the design support systems mainly focus on the generation of robot motion patterns. Furthermore, a methodology is needed to easily change the specification of hardware and software according to diversified needs, and the developmental environment to design the application contents on verbal and nonverbal communication with people. In this paper, the authors propose robot partners with the modularized architecture of hardware and software by using smart devices, and propose a developmental environment to realize easy contents design of verbal and nonverbal communication. In order to solve the problem of difficulty in the content design, they develop a design support environment using design templates of communication application contents. Next, they apply the robot partner to navigate visitors to the robot contest of the system design forum held in Tokyo Metropolitan University. Finally, they show several examples of the interaction cases, and discuss the interaction design for smart device based robot partners.

scholarly journals Machine Learning Methods for Inferring Interaction Design Patterns from Textual Requirements

Proceedings ◽  
2019 ◽  
Vol 31 (1) ◽  
pp. 26
Author(s):  
Viridiana Silva-Rodríguez ◽  
Sandra Nava-Muñoz ◽  
Luis Castro ◽  
Francisco Martínez-Pérez ◽  
Héctor Pérez-González ◽  
...  
Keyword(s):  
Language Processing ◽  
Interaction Design ◽  
Design Patterns ◽  
Ambient Intelligence ◽  
Classification Performance ◽  
Embedded Computing ◽  
Support Design ◽  
Processing Application ◽  
Functional Correctness ◽  
Emergency Scenarios

Ambient intelligence is one of the most exciting fields of application for pervasive, wireless, and embedded computing. However, the design and implementation of real-world systems must be conducted utilizing software engineering approaches. Some types of environments (hospitals, older adults homes, emergency scenarios, etc.) are particularly critical, especially in terms of the issues concerning expressing requirements, verifying and validating them, or ensuring functional correctness. To provide adequate ambient intelligence solutions, it is necessary to place special emphasis on obtaining, specifying, and documenting software requirements. To address this issue, our paper presents a model that integrates both requirements and design patterns. This is done through a natural language processing application in conjunction with other artificial intelligence algorithms. This work aims to support designers when analyzing text requirements and support design decisions. Our results were evaluated according to the cross-validated accuracy of predicting design patterns. The results obtained indicate that this approach could lead to good recommendations of design patterns, as it demonstrated an acceptable classification performance over the balanced dataset of requirements instances.

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