.png){kind=icon}
返回
Explaining Extreme Mobile Experiences
.png){kind=icon}
PRE
AI
DOI：10.1080/10447318.2013.841071.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
Extreme service or product experiences have a major influence on perceptions and behavior. Therefore, numerous studies have collected such single positive and negative experiences to understand which factors affect (dis)satisfaction, value, and quality. However, most of these studies lack the process approach needed for understanding why and how these experiences take place and proceed, whereas the context of mobile applications has also remained highly unexplored. This study aims to fill the gap by presenting the mobile experience process model with empirical evidence of extreme experiences from 606 actual mobile application users. With the help of the model and the detailed descriptions of its elements, researchers and practitioners will be able to understand triggers, interactions, and perceptions that build up to single experiences and identify differences between positive and negative extreme experiences as well as different application types.
Keyword:
CRITICAL INCIDENT TECHNIQUE
CUSTOMER SATISFACTION
USER EXPERIENCE
SERVICE QUALITY
ACCEPTANCE
SATISFIERS
USABILITY
FRAMEWORK
INTERNET
BEHAVIOR
AI总结
对已上传原文的论文进行重点信息的提取，主要内容包括：简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。
期刊
I
IF:
4.9
论文数:
4.5K
被引数:
1.2W
机构
引用论文
.png){kind=icon}
KS-entropy-based analysis of IP-network traffic in terms of time variation of dynamical properties
PREAI
分享收藏
查看更多内容