Rank As You Go

Sciascio, Cecilia di; Sabol, Vedran; Veas, Eduardo

doi:10.1145/2856767.2856797

Cited by 40 publications

(10 citation statements)

References 37 publications

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“…uRank enables users to discover and refine their search interests by way of interactions with extracted keywords and provides a visual ranking metaphor to explain document relevance with respect to evolving information needs. User studies report lower cognitive workload, as well as similar relevance assessments for subjects working with uRank and a baseline SERP condition [18,19].…”

Section: Exploratory Searchmentioning

confidence: 82%

“…The benchmark system employed in this work builds upon the uRank system [18,19], which promotes a user-driven approach influenced by work on control and transparency in interactive RS. uRank enables users to discover and refine their search interests by way of interactions with extracted keywords and provides a visual ranking metaphor to explain document relevance with respect to evolving information needs.…”

Section: Exploratory Searchmentioning

confidence: 99%

“…Multi-prospect comparative analysis: out of the three aspects covered in our research questions, learner performance and subjective learning are frequently measured in searching as learning studies, albeit in a single condition rather than in A/B tests. Exploratory search studies often investigate user performance in comparative settings against a baseline [18,27,37], though rarely measured as a learning outcome. Perceived learning is not a concept visited in exploratory search.…”

Section: Shortcomings In Searching As Learning Studiesmentioning

confidence: 99%

“…For this study we replicated functionalities of uRank [18,19], a user-driven exploratory search tool [18], which promotes control and transparency in the UI. Control refers to the possibility for the user to influence the decisions of the system, whereas transparency is the ability of the system to explain to the user how it works.…”

Section: The Exploratory Search System (Ess)mentioning

confidence: 99%

“…(For further details refer to [19]). A previous version of the tool [18] made it possible to visualize and select co-occurring terms in a two-step mechanism (combination of clicks and drag-and-drop). The shortcoming was that co-occurring terms appeared dispersed in the tag cloud and that it was not clear which multi-term phrases actually appeared in the text.…”

Section: Controlling the Rankingmentioning

confidence: 99%

See 4 more Smart Citations

Understanding the effects of control and transparency in searching as learning

Sciascio

Veas

Barria-Pineda

et al. 2020

Proceedings of the 25th International Conference on Intelligent User Interfaces

Self Cite

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In this paper, we analyze the benefits of adopting user interfaces that offer control and transparency for searching in contexts of learning activities. Concretely, we conducted a user study with pharmacy students performing a problem-solving task in the course of a university lecture. The task involved finding scientific papers containing relevant information to solve a clinical case. Students were split into two independent groups and assigned one search tool to perform the task. The baseline group worked with PubMed, a popular search engine in the life sciences domain, whereas the second half of the class was assigned an exploratory search system (ESS) designed for control and transparency. In the analysis, we cover the objective and subjective dimensions of the task outcomes. Firstly, the objective analysis addresses the inherent difficulty of the search task in a learning scenario and identifies certain improvements in performance for those students using the ESS, most notably when searching for primary-source content. The subjective analysis investigates the human factors side, providing evidence that the ESS effectively increases the perception of control and transparency and is able to produce a better user experience. Lastly, we report on perceived learning as a subjective dimension measured separately from user experience. CCS CONCEPTS • Information systems → Web searching and information discovery; Search interfaces; • Applied computing → Interactive learning environments.

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Section: Exploratory Searchmentioning

confidence: 82%

Section: Exploratory Searchmentioning

confidence: 99%

Section: Shortcomings In Searching As Learning Studiesmentioning

confidence: 99%

Section: The Exploratory Search System (Ess)mentioning

confidence: 99%

Section: Controlling the Rankingmentioning

confidence: 99%

See 3 more Smart Citations

Understanding the effects of control and transparency in searching as learning

Sciascio

Veas

Barria-Pineda

et al. 2020

Proceedings of the 25th International Conference on Intelligent User Interfaces

Self Cite

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PaperPoles: Facilitating adaptive visual exploration of scientific publications by citation links

Ping

Wen

et al. 2019

Asso for Info Science & Tech

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Finding relevant publications is a common task. Typically, a researcher browses through a list of publications and traces additional relevant publications. When relevant publications are identified, the list may be expanded by the citation links of the relevant publications. The information needs of researchers may change as they go through such iterative processes. The exploration process quickly becomes cumbersome as the list expands. Most existing academic search systems tend to be limited in terms of the extent to which searchers can adapt their search as they proceed. In this paper, we introduce an adaptive visual exploration system named PaperPoles to support exploration of scientific publications in a context-aware environment. Searchers can express their information needs by intuitively formulating positive and negative queries. Search results are grouped and displayed in a cluster view, which shows aspects and relevance patterns of the results to support navigation and exploration. We conducted an experiment to compare PaperPoles with a list-based interface in performing two academic search tasks with different complexity. The results show that PaperPoles can improve the accuracy of searching for the simple and complex tasks. It can also reduce completion time of searching and exploration effectiveness in the complex task. PaperPoles demonstrates a potentially effective workflow for adaptive visual search of complex information.

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Grapevine: A profile‐based exploratory search and recommendation system for finding research advisors

Rahdari

Brusilovsky

Babichenko

et al. 2020

Proc Assoc Inf Sci Technol

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Finding research advisors is an important and challenging task for college students. On one hand, a research advisor that matches student interests and past preparation could fully engage the student with an exciting and productive research experience. On the other hand, students are frequently unable to formulate their interests and experience in a way that allows them to independently find the most compatible advisors using search and browsing tools. This paper reports our experience with designing and evaluating Grapevine, an exploratory search and recommender system aimed at helping students, especially those less prepared and underrepresented in certain fields, find research advisors.

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Rank As You Go

Cited by 40 publications

References 37 publications

Understanding the effects of control and transparency in searching as learning

Understanding the effects of control and transparency in searching as learning

PaperPoles: Facilitating adaptive visual exploration of scientific publications by citation links

Grapevine: A profile‐based exploratory search and recommendation system for finding research advisors

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