Critisearch for Scholarly Search
| dc.contributor.author | Joshi, Sarang G. | en |
| dc.contributor.committeechair | Tatar, Deborah Gail | en |
| dc.contributor.committeemember | Luther, Kurt | en |
| dc.contributor.committeemember | Harrison, Steven R. | en |
| dc.contributor.department | Computer Science | en |
| dc.date.accessioned | 2019-02-11T15:36:43Z | en |
| dc.date.available | 2019-02-11T15:36:43Z | en |
| dc.date.issued | 2018-11-30 | en |
| dc.description.abstract | Online search has empowered users with access to vast amounts of information. However, current online interfaces do not permit users to manipulate the hits on a search engine result page (SERP). This leads to the user adapting his/her own search style to suit the search engine instead of being the other way round. We present Critisearch, an online search interface that allows users to manipulate hits by upvoting, downvoting and sorting them such that they can be arranged in a user-defined order. Critisearch was originally developed for middle school children. However, we found an interesting dearth of studies on how graduate students conduct searches. In order to evaluate how the manipulation of hits can benefit users, we conducted a longitudinal study with 10 graduate students who used Critisearch and/or other search engine/s of their choice for conducting the scholarly search over a three week period. Results indicate that using Critisearch for hit manipulation enabled metacognitive scaffolding (plan, filter, sort information) on the search engine interface especially in exploratory search contexts. Critisearch seems to facilitate a conversation with the interface by enabling marking of hits. In addition, Critisearch also appears to promote reflection with the upvote/downvote capabilities for marking of hits available to the user. The hit manipulation and metacognitive scaffolding on the Critisearch interface encourages users to conduct their search tasks in a more breadth-first fashion as opposed to the commonly used depth-first search strategy. Using qualitative analysis, we discovered three distinct types of search tasks that users perform in a scholarly context namely, specific exploration, needle-in-a-haystack and general exploration. This analysis provides a starting point for a better understanding information needs of users in a scholarly context and a classification of search tasks thus, adding to the existing body of literature on nature of online search tasks. | en |
| dc.description.abstractgeneral | Online search engines have been pivotal in ushering the information age which contributes to the rapid dissemination of electronic information. Today, online search engines empower users to access this vast amount of information using queries on the search engine interface. Over the years, the search engine capabilities have been growing richer in terms of personalized user experiences. However, users have limited agency when it comes to personalizing or ordering the actual results that are displayed on the search engine result page. Search engines do not allow the user to reorder or provide feedback regarding the results for a particular search term or set of keywords. Therefore, most users adapt to the interface in order to get the results that they desire, instead of the other way around. Critisearch is the first step in the direction of making the user interface adapt to the user's needs. It allows users to order and rank the search results as to how relevant they are to the search terms entered. Graduate students employ search engines in a technical and advanced sphere of learning but the researchers found that there weren't as many studies about how graduate students conduct searches. In order to evaluate the efficacy of the interface, a study with 10 graduate students was conducted who used Critisearch to conduct academic searches over a period of three weeks. Results indicate that Critisearch allows users to have a more interactive experience with the search engine interface and promotes an alternative style of online search. | en |
| dc.description.degree | M.S. | en |
| dc.format.medium | ETD | en |
| dc.identifier.uri | http://hdl.handle.net/10919/87565 | en |
| dc.language.iso | en | en |
| dc.publisher | Virginia Tech | en |
| dc.rights | Creative Commons CC0 1.0 Universal Public Domain Dedication | en |
| dc.rights.uri | http://creativecommons.org/publicdomain/zero/1.0/ | en |
| dc.subject | Online search | en |
| dc.title | Critisearch for Scholarly Search | en |
| dc.type | Thesis | en |
| thesis.degree.discipline | Human-computer Interaction | en |
| thesis.degree.grantor | Virginia Polytechnic Institute and State University | en |
| thesis.degree.level | masters | en |
| thesis.degree.name | M.S. | en |