孟猛 朱庆华



摘 要:[目的/意义]针对移动视觉搜索(Mobile Visual Search,MVS)这一新兴领域,如果直接引用现有信息系统领域量表,会面临应用领域、使用情景以及量表语义等方面差异的问题。为了有效测度MVS用户体验影响因素,设计出稳健而实用的MVS用户体验影响因素量表。[方法/过程]本文参照Churchill的范式及Limayem等的量表开发过程,在前期MVS用户体验影响因素研究的基础上,通过初始量表拟定与评估、探索性因子分析、验证性因子分析进行量表开发。[结果/结论]最终开发出一个由准确性、完整性、快捷性、灵活性和移情性5个维度19个测量题目构成的MVS用户体验影响因素量表。实证分析表明,该量表具有较好的信度和效度,可为后期针对MVS用户行为影响因素探索提供工具参考和理论指导。
关键词:移动视觉搜索;用户体验;影响因素;量表开发
DOI:10.3969/j.issn.1008-0821.2021.02.007
〔中图分类号〕G252.0 〔文献标识码〕A 〔文章编号〕1008-0821(2021)02-0065-13
Abstract:[Purpose/Significance]In view of the emerging field of Mobile Visual Search(MVS),if it directly refers to the existing scales in the field of information systems,it would face the problems of differences in application fields,usage scenarios,and scale semantics.In order to effectively measure the factors influencing on MVS user experience,a robust and practical scale for the factors influencing on MVS user experience is designed.[Method/Process]Referring to Churchill's paradigm,Limayem and other's scale development process,this paper developed the scale through initial scale formulation and evaluation,exploratory factor analysis and confirmatory factor analysis on the basis of previous studies on factors influencing on MVS user experience.[Result/Conclusion]Finally,a scale for factors influencing on MVS user experience was developed.This scale consists of 19 measurement items from five dimensions of accuracy,completeness,quickness,flexibility and empathy.Empirical analysis showed that the scale had good reliability and validity,and could provide tool reference and theoretical guidance for the later exploration of factors influencing on MVS user behavior.
Key words:mobile visual search;user experience;influencing factors;scale development
iiMedia Research(艾媒咨询)发布的《2019—2020年中国移动搜索市场运行监测报告》显示[1],2019年第四季度中国移动搜索用户规模已达7.05亿人。中国互联网络信息中心(CNNIC)[2]发布的《第45次中国互联网络发展状况统计报告》显示,截至2020年3月,我国手机搜索引擎用户规模达7.45亿。随着移动互联网、移动终端及云计算的迅速崛起,移动搜索已成为信息检索领域的研究热点,尤其是移动视觉搜索(Mobile Visual Search,MVS)这种新一代信息搜索技术,受到学界和业界的广泛关注,已成为信息检索领域非常重要的前沿课题。所谓MVS,是指利用移动智能终端获取用户视觉接近对象的图像或视频为检索项,通过移动互联网搜索视觉对象关联信息的一种交互式信息检索方式[3-4]。……