Children’s Interaction Ability Towards Multi-Touch Gestures

Hussain, Nor Hidayah; Wook, Tengku Siti Meriam Tengku; Noor, Siti Fadzilah Mat; Mohamed, Hazura

doi:10.18517/ijaseit.6.6.1380

Cited by 12 publications

(7 citation statements)

References 19 publications

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“…With the multiple pages, iconic menus, fancy font face, and unsuitable font size and animations, the low vision learners face difficulties in their learning and finally get frustrated [11]. Also, previous studies [3] [7] [12] [13] [14] indicate that interactive digital learning applications that are specifically designed to cater the needs of low vision learners in learning particularly in terms of information accessibility, navigationability, and pleasurability aspects is insufficiently explored. It means their needs are not adequately factored into the design of digital learning contents [9] [15].…”

Section: Fig1 Low Vision Learner Using Online Tc With the Teachers'mentioning

confidence: 99%

The development of assistive courseware for young low vision learners based on multiple intelligence theory

Nurulnadwan

Ariffin

Mahfuzah

2018

J. Fundam and Appl Sci.

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This paper reports an ongoing study regarding the development of Assistive Courseware (AC) which specifically designed catering to the needs of low vision learners in learning activities.Previous literatures state that most of the available digital interactive learning content means too little to them, particularly in terms of content presentation. Therefore, this study solves the problem by developing an assistive courseware (AC), which is named as AC for Low Vision Learners (AC4LV). The AC was developed by utilizing Multiple Intelligence (MI) theory as guidance. In addition, three basic steps, which are pre-production, production, and post-production have been utilized in developing the AC. As a result, an AC4LV based on MI theory was successfully produced. Future works of this study is to test the experience of using AC4LV among the low vision learners in terms of it usefulness.

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Section: Fig1 Low Vision Learner Using Online Tc With the Teachers'mentioning

confidence: 99%

The development of assistive courseware for young low vision learners based on multiple intelligence theory

Nurulnadwan

Ariffin

Mahfuzah

2018

J. Fundam and Appl Sci.

View full text Add to dashboard Cite

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“…For sensor-based interactions, inputs include pen-based, keyboard, mouse, joystick, touch, motion tracking sensor and digitizer, haptic sensor, pressure sensor and taste / smell sensor. Touch interaction technique includes single and multi-touch interaction, as most of touch screen devices allow user to interact with more than one touch input [8]. This paper discusses the multimodal interaction in AR environment.…”

Section: Introductionmentioning

confidence: 99%

A Review of Multimodal Interaction Technique in Augmented Reality Environment

Nizam¹,

Abidin²,

Hashim³

et al. 2018

Int. J. Adv. Sci. Eng. Inf. Technol.

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Augmented Reality (AR) has proposed several types of interaction techniques such as 3D interactions, natural interactions, tangible interactions, spatial awareness interactions and multimodal interactions. Usually, interaction technique in AR involve unimodal interaction technique that only allows user to interact with AR content by using one modality such as gesture, speech, click, etc. Meanwhile, the combination of more than one modality is called multimodal. Multimodal can contribute to human and computer interaction more efficient and will enhance better user experience. This is because, there are a lot of issues have been found when user use unimodal interaction technique in AR environment such as fat fingers. Recent research has shown that multimodal interface (MMI) has been explored in AR environment and has been applied in various domain. This paper presents an empirical study of some of the key aspects and issues in multimodal interaction augmented reality, touching on the interaction technique and system framework. We reviewed the question of what are the interaction techniques that have been used to perform a multimodal interaction in AR environment and what are the integrated components applied in multimodal interaction AR frameworks. These two questions were used to be analysed in order to find the trends in multimodal field as a main contribution of this paper. We found that gesture, speech and touch are frequently used to manipulate virtual object. Most of the integrated component in MMI AR framework discussed only on the concept of the framework components or the information centred design between the components. Finally, we conclude this paper by providing ideas for future work involving this field.

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“…Past researches [1], [3], [6][7][8] show that children manage to perform single touch gesture successfully. This is because single touch such as tap and press is easy to perform since it involves a single index finger and similar to mouse clicking in the desktop environment [9].…”

Section: Introductionmentioning

confidence: 99%

Speech Input as an Alternative Mode to Perform Multi-touch Gestures

et al. 2018

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Speech is fundamental and the most dominant form of communication. Speech input may facilitate natural interaction b etween humans and computers. For children, this input mode supports their interaction with application systems. This study addresses speech input as a n alternative mode in order to improve multi-touch gesture interactions. Previous studies show that children difficult to perform multitouch gestures successfully. In fact, multi-touch is parts of b asic core gestures that have b een adapted to most of the learning applications. This study uses the Wizard-of-Oz method and posts interview, involving nine preschool children b etween ages of four to six years old. Results of the study show children's interactional ab ility using speech input towards systems and p ositive feedb ack received from them regarding the prototype of the systems. The findings from this study highlight the opportunities and challenges in using speech input to increase the success of children's interaction with multi -touch gestures.

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Children’s Interaction Ability Towards Multi-Touch Gestures

Cited by 12 publications

References 19 publications

The development of assistive courseware for young low vision learners based on multiple intelligence theory

The development of assistive courseware for young low vision learners based on multiple intelligence theory

A Review of Multimodal Interaction Technique in Augmented Reality Environment

Speech Input as an Alternative Mode to Perform Multi-touch Gestures

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