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交互自然性的心理结构及其影响
The psychological structure and influence of interactive naturalness

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曹剑琴 1,2   张警吁 1,2 *   张亮 1,2   王晓宇 1,2  
文摘 本文通过3个研究探究了交互自然性的心理结构及其影响。研究1通过开展字典检索,文献回顾和专家访谈,得到了包含有9个条目的初始量表。研究2问卷调查了353名智能网联汽车用户,探索性因素分析发现了两因素结构("通达舒畅"和"随景应人")。后续分析表明这两个因素对满意度等关键效标有显著独特的预测作用。研究3使用新样本(n = 349)验证了双因素模型的稳定性,还发现这两个交互自然性体验维度对推荐意愿、忠诚感等重要变量也有显著预测作用,此外还发现,通达舒畅更多受到基本驾驶辅助系统等功能的影响,而随景应人更多受到交互和智能相关功能的影响。本文进一步讨论了该量表如何用于未来的人机交互研究。
其他语种文摘 This paper investigated the structure and function of interactive naturalness through three studies. After command-line interaction and graphic interaction, natural interactions have increased and become mainstream. In measuring interactive experience, the traditional usability standard is not enough to measure the usability and naturality of product interaction. The possible reason is that natural interaction is no longer limited to the product's features but is more concerned with the human experience(the perceived naturalness)or natural experience. A direct, reliable measurement tool is urgently needed to evaluate the natural experience. Most studies used traditional usability dimensions such as visibility and ease of use to simply measure naturalness. But if naturalness simply equals usability, then many traits beyond product usability cannot be measured. Some studies directly measured naturalness with a single item or synonyms of naturalness, but the reliability of these measurements is not enough. This paper aimed to develop and verify a conceptually solid and quantitatively validated scale to measure the naturalness of interaction. In Study 1, a comprehensive item set related to the concept of natural interaction was established by using qualitative methods including dictionary retrieval, literature review, and expert interviews. In Study 2, participants(n = 353)were recruited to evaluate the experience of different intelligent connected vehicles. In addition to the interactive naturalness scale, several key consumer behaviors and traditional usability criteria, including drive intention, satisfaction, and usability, were also collected. In Study 3, new samples(n = 349)and more criterion-related variables(two key consumption behaviors were added, namely perceived loyalty and recommendation intention)were used to further verify the validity and reliability of the developed measurement tool. We used SPSS 25.0 and Jamovi 1.2.27 to analyze the data. According to Study 1, the naturalness of the interactive experience scale of 9 items was developed based on the qualitative research. In Study 2, the exploratory factor analysis found that the two-dimensional model(six items for joyful fluency and three items for universal awareness)best suited the data. Confirmatory factor analysis verified the stability of the two-factor model. Correlation analysis and hierarchical regression analysis suggested that these two components had good criterion-related validity and joyful fluency played a crucial role in predicting satisfaction and drive intention. In Study 3, a new sample(n = 349)was used to validate the validity of the scale further. And the validity of the scale was further verified in Study 3. The criterion-related variables used in Study 2 also obtained the same correlation and regression results in Study 3. Two factors of interactive naturalness had a significant predictive effect on the newly included variables, namely recommendation intention and perceived loyalty. In addition, joyful fluency was more related to basic vehicle functions, while universal awareness was more related to advanced intelligent interaction functions. This study explored the structure and function of interactive naturalness. A psychometrically sound tool was obtained to measure the interactive naturalness experience of intelligent products in two dimensions: joyful fluency and universal awareness. We found that interactive naturalness is strongly linked to key experiential and post-purchase dimensions and has an additional contribution to predicting these variables that traditional usability dimensions cannot include. This finding was also supported by the difference of correlation between two factors in different vehicle functions. These results indicate that the scale developed in this study can measure the natural interaction experience of intelligent products reliably and effectively.
来源 心理学报 ,2023,55(1):55-65 【核心库】
DOI 10.3724/SP.J.1041.2023.00055
关键词 交互自然性 ; 智能网联汽车 ; 心理结构 ; 可用性
地址

1. 中国科学院行为科学重点实验室, 中国科学院行为科学重点实验室, 北京, 100101  

2. 中国科学院大学心理学系, 北京, 100049

语种 中文
文献类型 研究性论文
ISSN 0439-755X
学科 社会科学总论
基金 国家自然科学基金重大项目 ;  民航联合研究基金重点项目
文献收藏号 CSCD:7387221

参考文献 共 58 共3页

1.  Abowd G D. Charting past, present, and future research in ubiquitous computing. ACM Transactions on Computer-Human Interaction (TOCHI),2000,7(1):29-58 CSCD被引 17 次    
2.  Agarwal R. A usability study on natural interaction devices with ASD children. International Conference on Universal Access in Human-Computer Interaction,2013:447-453 CSCD被引 1 次    
3.  Almeida L. Towards natural interaction in immersive reality with a cyber-glove. 2019 IEEE International Conference on Systems, Man and Cybernetics (SMC),2019:2653-2658 CSCD被引 1 次    
4.  Atiyah A. Evaluation of the naturalness of Chatbot Applications. 2019 IEEE Jordan International Joint Conference on Electrical Engineering and Information Technology (JEEIT),2019:359-365 CSCD被引 1 次    
5.  Bailey S K. A human-centered approach to designing gestures for natural user interfaces. International Conference on Human-Computer Interaction,2020:3-18 CSCD被引 1 次    
6.  Bailey S K. Using natural gesture interactions leads to higher usability and presence in a computer lesson. Congress of the International Ergonomics Association,2018:663-671 CSCD被引 1 次    
7.  Bassano C. A study on the role of feedback and interface modalities for natural interaction in virtual reality environments. the 15th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2020) (2: HUCAPP),2020:154-161 CSCD被引 1 次    
8.  Biever W. Automated driving system collisions: Early lessons. Human Factors: The Journal of the Human Factors and Ergonomics Society,2020,62(2):249-259 CSCD被引 1 次    
9.  Black H G. Customers helping customers: Payoffs for linking customers in service settings. Marketing Dynamism & Sustainability: Things Change, Things Stay the Same,2015:179-179 CSCD被引 1 次    
10.  Brooke J. SUS: A "quick and dirty" usability. Usability Evaluation in Industry,1996,189(194):4-7 CSCD被引 8 次    
11.  Brunswicker S. The adoption of open innovation in large firms: Practices, measures, and risks a survey of large firms examines how firms approach open innovation strategically and manage knowledge flows at the project level. Research-Technology Management,2018,61(1):35-45 CSCD被引 1 次    
12.  Chuah S H W. Wearable technologies: The role of usefulness and visibility in smartwatch adoption. Computers in Human Behavior,2016,65:276-284 CSCD被引 4 次    
13.  Crawford A V. Evaluation of parallel analysis methods for determining the number of factors. Educational and Psychological Measurement,2010,70(6):885-901 CSCD被引 2 次    
14.  de Visser E J. The world is not enough: Trust in cognitive agents. Proceedings of the Human Factors and Ergonomics Society Annual Meeting. 56(1),2012:263-267 CSCD被引 1 次    
15.  Falcao C. Evaluation of natural user interface: A usability study based on the leap motion device. Procedia Manufacturing,2015,3:5490-5495 CSCD被引 1 次    
16.  Franklin S B. Parallel analysis: A method for determining significant principal components. Journal of Vegetation Science,1995,6(1):99-106 CSCD被引 2 次    
17.  Grandhi S A. Understanding naturalness and intuitiveness in gesture production: Insights for touchless gestural interfaces. Proceedings of the SIGCHI Conference on Human Factors in Computing Systems,2011:821-824 CSCD被引 1 次    
18.  Grisaffe D B. Questions about the ultimate question: Conceptual considerations in evaluating Reichheld's net promoter score (NPS). Journal of Consumer Satisfaction. Dissatisfaction and Complaining Behavior,2007,20:36 CSCD被引 1 次    
19.  Hayton J C. Factor retention decisions in exploratory factor analysis: A tutorial on parallel analysis. Organizational Research Methods,2004,7(2):191-205 CSCD被引 3 次    
20.  Helander M G. Emotional needs of car buyers and emotional intent of car designers. Theoretical Issues in Ergonomics Science,2013,14(5):455-474 CSCD被引 2 次    
引证文献 1 篇

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