Designing intelligent games adapting to children’s playing maturity

Journal Title: EAI Endorsed Transactions on Creative Technologies - Year 2017, Vol 4, Issue 12

Abstract

Play is a voluntary activity in which individuals involve for pleasure. It is very important for children because through playing they learn to explore, develop and master physical and social skills. Play development is part of the child’s growth and maturation process since birth. As such, it is widely used in the context of Occupational Therapy (OT). Occupational therapists use activity analysis to shape play activities for therapeutic use and promote an environment where the child can approach various activities while playing. This paper builds on knowledge stemming from the processes and theories used in OT and activity analysis to present the design, implementation and deployment of a new version of the popular farm game as deployed within an Ambient Intelligence (AmI) simulation space. Within this space, an augmented interactive table and a three-dimensional avatar are employed to extend the purpose and objectives of the game, thus also expanding its applicability to the age group of preschool children from 3 to 6 years old. More importantly, through the environment, the game monitors and follows the progress of each young player, adapts accordingly and provides important information regarding the abilities and skills of the child and their development over time. The developed game was evaluated through a small scale study with children of the aforementioned age groups, their parents, and child care professionals. The outcomes of the evaluation were positive for all target groups and provided significant evidence regarding its potential to offer novel play experience to children, but also act as a valuable tool to child care professionals.

Authors and Affiliations

Emmanouil Zidianakis, Kalliopi Stratigi, Danai Ioannidi, Nikolaos Partarakis, Margherita Antona, Constantin Stephanidis

Keywords

Related Articles

Establishing Interaction between Machine and Medaka using Deep Q-Network

Social interaction is the basic ability for animals to survive. It is difficult for a machine to interact with human or other animals because it is not clear how the machine should interact. This paper examines whether a...

Towards a novel and LMS-free Pervasive Learning System exploiting the Experience API

Experience API (xAPI), the evolution of SCORM (Sharable Content Object Reference Model) in e-learning content specifications, stably gains ground in education, defense and training. In this paper we shortly describe the...

Philosophy of Computer Game with BCI as Healthcare Information Design Outcomes: Toward a New Approach of Knowledge Game

This study presents that the computer game using brain information as healthcare design outcomes is being philosophized as an object of thoughts. In order to define the philosophy of computer game with BCI (Brain-Compute...

Hybrid Peer-to-peer Streaming System for Mobile Peers with Transcoding

In this paper, we study in hybrid peer-to-peer (P2P) streaming system, which includes fixed peers and mobile peers in the same network, and propose a flow rate allocation algorithm to optimize the streaming system. In th...

Breathing Expression for Intimate Communication Corresponding to the Physical Distance and Contact between Human and Robot

In this paper, we propose living-being-like breathing expressions concurrent with both aspiration and utterances using a stuffed-toy robot in order to enable intimate interactions. The focus of the research is the impres...

Download PDF file
  • EP ID EP45873
  • DOI http://dx.doi.org/10.4108/eai.3-10-2017.153154
  • Views 327
  • Downloads 0

How To Cite

Emmanouil Zidianakis, Kalliopi Stratigi, Danai Ioannidi, Nikolaos Partarakis, Margherita Antona, Constantin Stephanidis (2017). Designing intelligent games adapting to children’s playing maturity. EAI Endorsed Transactions on Creative Technologies, 4(12), -. https://europub.co.uk/articles/-A-45873