An Augmented Reality Based Mobile Photography Application to Improve Learning Gain, Decrease Cognitive Load, and Achieve Better Emotional State

摄影 增强现实 计算机科学 多媒体 人气 移动电话 认知 认知负荷 移动设备 人机交互 心理学 社会心理学 视觉艺术 万维网 神经科学 电信 艺术
作者
Gang Zhao,Lina Zhang,Jie Chu,Wenjuan Zhu,Biling Hu,Hui He,Yang Li
出处
期刊:International Journal of Human-computer Interaction [Taylor & Francis]
卷期号:39 (3): 643-658 被引量:35
标识
DOI:10.1080/10447318.2022.2041911
摘要

Taking photos by mobile phones has become an indispensable part of people's daily life with the popularity of smartphones. However professional photography content is also needed for taking high-quality photos by mobile phones as ones taken by professional cameras. Existing learning tools for photography can't provide photographic practice while presenting theoretical content, nor give real-time photography guidance according to the environment. Mobile augmented reality (AR) technology provides a new way to solve these problems by creating a real learning situation. Therefore, an innovative AR-based mobile photography application (ARMPA) is designed and developed as a method to connect theory and practice. Based on Learning-by-Doing instructional strategy, the ARMPA can timely and synchronously display the theoretical content of photography in the form of text and images corresponding to learners' practical operation. Moreover, it can provide learners real-time interaction and guidance by using AR environment sensing technology. The effect of ARMPA on learning gain and cognitive load is assessed by traditional methods of pre/post-test and questionnaires. To objectively explore the effectiveness of ARMPA from a cognitive and emotional perspective, we measure and extract four emotional state indexes of electroencephalogram (EEG) including engagement (ENG), relaxation (MED), interest (INT) and focus (FOC). Compared to traditional two-dimension (2 D) application (APP), ARMPA improves learners’ learning gains, decreases learners’ cognitive loads. The participants in the AR group achieve better emotional states than those in the 2 D group. This study provides some empirical evidence for AR technology to boost mobile phone photography.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
1秒前
此木完成签到,获得积分10
1秒前
1秒前
111发布了新的文献求助10
1秒前
laok发布了新的文献求助30
3秒前
青阳完成签到,获得积分10
3秒前
hy发布了新的文献求助10
3秒前
zhao发布了新的文献求助10
3秒前
3秒前
Liangyu完成签到,获得积分10
4秒前
4秒前
5秒前
6秒前
KX发布了新的文献求助10
6秒前
6秒前
6秒前
7秒前
池东漾完成签到 ,获得积分10
7秒前
少年与梦完成签到,获得积分20
8秒前
zhao完成签到,获得积分10
9秒前
深情安青应助听话的高山采纳,获得10
9秒前
9秒前
10秒前
sakura发布了新的文献求助10
10秒前
缥缈云朵发布了新的文献求助10
10秒前
10秒前
123发布了新的文献求助10
11秒前
喂喂喂完成签到 ,获得积分10
11秒前
文静妍发布了新的文献求助10
12秒前
夏夏发布了新的文献求助10
12秒前
Biohacking发布了新的文献求助10
12秒前
Moody Qi完成签到,获得积分10
12秒前
BJ牛马发布了新的文献求助10
12秒前
七小七完成签到 ,获得积分10
13秒前
13秒前
共享精神应助shriff采纳,获得10
13秒前
白十八发布了新的文献求助10
13秒前
椰子冻冻发布了新的文献求助10
14秒前
山支山支山支完成签到,获得积分10
14秒前
14秒前
高分求助中
Principles of Economics, 11th Edition 10000
University Physics with Modern Physics, 16th edition 10000
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Development of a Bridge Weigh-In-Motion System: A technology to convert the bridge response to the passage of traffic into data on vehicle configurations, speeds, times of travel and weights 1000
ズームレンズの光学設計に関する研究 800
Fundamentals of Pharmaceutical and Biologics Regulations: A Global Perspective, Second Edition 700
Matrix Methods in Data Mining and Pattern Recognition Second Edition 610
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7284072
求助须知:如何正确求助?哪些是违规求助? 8904756
关于积分的说明 18841283
捐赠科研通 6954350
什么是DOI,文献DOI怎么找? 3207820
关于科研通互助平台的介绍 2378000
邀请新用户注册赠送积分活动 2183295