@Article{信息:doi 10.2196 / / medinform。3803，作者="Puspitasari, Ira and Moriyama, Koichi and Fukui, Ken- ichi and Numao, Masayuki"，标题="个人健康话题熟悉度对健康信息搜索活动模式的影响"，期刊="JMIR Med Inform"，年="2015"，月="Mar"，日="17"，卷="3"，数="1"，页数="e16"，关键词="健康信息搜索;健康搜索活动模式;熟悉健康主题;背景:非医疗专业人员(消费者)越来越多地使用互联网来支持他们的健康信息需求。然而，执行健康信息搜索所需的认知努力受到消费者对健康主题的熟悉程度的影响。消费者可能对个人健康话题有不同程度的熟悉程度。这种熟悉度的变化可能会引起误解，因为搜索引擎提供的信息可能不会被消费者正确理解。目的:作为改进健康信息搜索过程的第一步，我们旨在通过确定不同熟悉程度的消费者群体所表现出的共同搜索活动模式，来研究健康话题熟悉度对健康信息搜索行为的影响。方法:每位参与者完成健康术语熟悉度调查问卷和健康信息检索任务。 The responses to the familiarity questionnaire were used to grade the familiarity of participants with predefined health topics. The search task data were transcribed into a sequence of search activities using a coding scheme. A computational model was constructed from the sequence data using a Markov chain model to identify the common search patterns in each familiarity group. Results: Forty participants were classified into L1 (not familiar), L2 (somewhat familiar), and L3 (familiar) groups based on their questionnaire responses. They had different levels of familiarity with four health topics. The video data obtained from all of the participants were transcribed into 4595 search activities (mean 28.7, SD 23.27 per session). The most frequent search activities and transitions in all the familiarity groups were related to evaluations of the relevancy of selected web pages in the retrieval results. However, the next most frequent transitions differed in each group and a chi-squared test confirmed this finding (P<.001). Next, according to the results of a perplexity evaluation, the health information search patterns were best represented as a 5-gram sequence pattern. The most common patterns in group L1 were frequent query modifications, with relatively low search efficiency, and accessing and evaluating selected results from a health website. Group L2 performed frequent query modifications, but with better search efficiency, and accessed and evaluated selected results from a health website. Finally, the members of group L3 successfully discovered relevant results from the first query submission, performed verification by accessing several health websites after they discovered relevant results, and directly accessed consumer health information websites. Conclusions: Familiarity with health topics affects health information search behaviors. Our analysis of state transitions in search activities detected unique behaviors and common search activity patterns in each familiarity group during health information searches. ", issn="2291-9694", doi="10.2196/medinform.3803", url="http://medinform.www.mybigtv.com/2015/1/e16/", url="https://doi.org/10.2196/medinform.3803", url="http://www.ncbi.nlm.nih.gov/pubmed/25783222" }