Search (3 results, page 1 of 1)

  • × author_ss:"Li, Y."
  • × year_i:[2020 TO 2030}
  1. Li, Y.; Crescenzi, A.; Ward, A.R.; Capra, R.: Thinking inside the box : an evaluation of a novel search-assisting tool for supporting (meta)cognition during exploratory search (2023) 0.00
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    Abstract
    Exploratory searches involve significant cognitively demanding aiming at learning and investigation. However, users gain little support from search engines for their cognitive and metacognitive activities (e.g., discovery, synthesis, planning, transformation, monitoring, and reflection) during exploratory searches. To better support the exploratory search process, we designed a new search assistance tool called OrgBox. OrgBox allows users to drag-and-drop information they find during searches into "boxes" and "items" that can be created, labeled, and rearranged on a canvas. We conducted a controlled, within-subjects user study with 24 participants to evaluate the OrgBox versus a baseline tool called the OrgDoc that supported rich-text features. Our findings show that participants perceived the OrgBox tool to provide more support for grouping and reorganizing information, tracking thought processes, planning and monitoring search and task processes, and gaining a visual overview of the collected information. The usability test reveals users' preferences for simplicity, familiarity, and flexibility of the design of OrgBox, along with technical problems such as delay of response and restrictions of use. Our results have implications for the design of search-assisting systems that encourage cognitive and metacognitive activities during exploratory search processes.
    Type
    a
  2. Thomas, M.A.; Li, Y.; Sistenich, V.; Diango, K.N.; Kabongo, D.: ¬A multi-stakeholder engagement framework for knowledge management in ICT4D (2023) 0.00
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    Abstract
    Knowledge management (KM) is increasingly important to the field of information and communication technologies for development (ICT4D). Yet, scant literature has addressed KM in the ICT4D context. This study takes an important step toward addressing this gap by conceptualizing KM in the context of ICT4D based on the people-process-technology perspective. To elicit KM factors most relevant to ICT4D, a Delphi study is conducted with a panel of experts representing three key stakeholder groups (beneficiaries, partners, and designers) with cumulative experience of leading ICT4D projects in 25 countries. Based on the Delphi study findings, 16 factors relevant to KM in ICT4D are synthesized. A multi-stakeholder engagement framework for KM in ICT4D and an activity checklist are proposed. The study contributes to the body of knowledge by providing insights into the differing views of stakeholders related to KM practices in ICT4D projects. Practitioners may find the framework and checklist useful in coordinating and managing KM in ICT4D projects. As development initiatives become increasingly knowledge focused, the study calls upon researchers for more enquiry in this progressive area of study.
    Type
    a
  3. Li, Y.; Kobsa, A.: Context and privacy concerns in friend request decisions (2020) 0.00
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    Abstract
    Friend request acceptance and information disclosure constitute 2 important privacy decisions for users to control the flow of their personal information in social network sites (SNSs). These decisions are greatly influenced by contextual characteristics of the request. However, the contextual influence may not be uniform among users with different levels of privacy concerns. In this study, we hypothesize that users with higher privacy concerns may consider contextual factors differently from those with lower privacy concerns. By conducting a scenario-based survey study and structural equation modeling, we verify the interaction effects between privacy concerns and contextual factors. We additionally find that users' perceived risk towards the requester mediates the effect of context and privacy concerns. These results extend our understanding about the cognitive process behind privacy decision making in SNSs. The interaction effects suggest strategies for SNS providers to predict user's friend request acceptance and to customize context-aware privacy decision support based on users' different privacy attitudes.
    Type
    a