Health Suggestions: A Chrome Extension to Help Laypersons Search for Health Information
To help laypeople surpass the common difficulties they face when searching for health information on the Web, we built Health Suggestions, an extension for Google Chrome to assist users obtaining high-quality search results in the health domain. This is achieved by providing users with suggestions of queries formulated in different terminologies and languages. Translations of health expressions might not be obvious and queries in languages with a strong presence on the Web facilitate the access to high-quality health contents. On the other hand, the use of lay terminology might contribute to increase users’ comprehension and medico-scientific terminology to obtain more detailed and technical contents. Results show a good acceptance of the suggestions, confirm the utility of a multilingual and multi-terminology approach and show its usefulness to more successful searches.
KeywordsQuery suggestion Health Interactive IR Multilingual
This work was partially funded by project “NanoSTIMA: Macro-to-Nano Human Sensing: Towards Integrated Multimodal Health Monitoring and Analytics/NORTE-01-0145-FEDER-000016”, financed by the North Portugal Regional Operational Programme (NORTE 2020), under the PORTUGAL 2020 Partnership Agreement, and through the European Regional Development Fund (ERDF).
- 1.Fox, S., Duggan, M.: Health online 2013. Technical report, Pew Research Center’s Internet & American Life Project, Washington, D.C., January 2013Google Scholar
- 3.Lopes, C.T., Ribeiro, C.: Effects of terminology on health queries: an analysis by user’s health literacy and topic familiarity, vol. 39, Chap. 10, pp. 145–184. Emerald Group Publishing Limited (2015). http://www.emeraldinsight.com/doi/abs/10.1108/S0065-283020150000039013
- 4.Lopes, C.T., Ribeiro, C.: Effects of language and terminology on the usage of health query suggestions. In: Conference and Labs of the Evaluation Forum (2016)Google Scholar
- 5.NetMarketShare: Search Engine Market Share (2016). https://www.netmarketshare.com/search-engine-market-share.aspx?qprid=4&qpcustomd=0&qpsp=2016&qpnp=1&qptimeframe=Y. Accessed 17 June 2016
- 6.NLM: 2012AA Consumer Health Vocabulary Source Information (2012). http://www.nlm.nih.gov/research/umls/sourcereleasedocs/current/CHV/index.html
- 7.Silva, A.C., Lopes, C.T.: Health translations: a crowdsourced, gamified approach to translate large vocabulary databases. In: CISTI 2016 - 11th Iberian Conference on Information Systems and Technologies (2016)Google Scholar
- 8.w3schools.com: Browser Statistics (2016). http://www.w3schools.com/browsers/browsers_stats.asp. Accessed 17 June 2016