Untangling search task complexity and difficulty in the context of interactive information retrieval studies

被引:54
|
作者
Wildemuth, Barbara [1 ]
Freund, Luanne [2 ]
Toms, Elaine G. [3 ]
机构
[1] Univ N Carolina, Sch Informat & Lib Sci, Chapel Hill, NC 27515 USA
[2] Univ British Columbia, iSch, Vancouver, BC V5Z 1M9, Canada
[3] Univ Sheffield, Informat Sch, Sheffield, S Yorkshire, England
关键词
Measurement; Experimental methods; Interactive information retrieval; Search task complexity; Search task difficulty; RESEARCH PROPOSAL; CHILDRENS USE; WEB; PERFORMANCE; USERS; STRATEGIES; BEHAVIORS; FRAMEWORK; TACTICS; SEEKING;
D O I
10.1108/JD-03-2014-0056
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Purpose - One core element of interactive information retrieval (IIR) experiments is the assignment of search tasks. The purpose of this paper is to provide an analytical review of current practice in developing those search tasks to test, observe or control task complexity and difficulty. Design/methodology/approach - Over 100 prior studies of IIR were examined in terms of how each defined task complexity and/or difficulty (or related concepts) and subsequently interpreted those concepts in the development of the assigned search tasks. Findings - Search task complexity is found to include three dimensions: multiplicity of subtasks or steps, multiplicity of facets, and indeterminability. Search task difficulty is based on an interaction between the search task and the attributes of the searcher or the attributes of the search situation. The paper highlights the anomalies in our use of these two concepts, concluding with suggestions for future methodological research related to search task complexity and difficulty. Originality/value - By analyzing and synthesizing current practices, this paper provides guidance for future experiments in IIR that involve these two constructs.
引用
收藏
页码:1118 / 1140
页数:23
相关论文
共 50 条
  • [41] An interactive retrieval system for clinical trial studies with context-dependent protocol elements
    Park, Junseok
    Park, Seongkuk
    Kim, Kwangmin
    Hwang, Woochang
    Yoo, Sunyong
    Yi, Gwan-su
    Lee, Doheon
    PLOS ONE, 2020, 15 (09):
  • [42] Context-Based Adaptive Personalized Web Search for Improving Information Retrieval Effectiveness
    Pan, Xuwei
    Wang, Zhengcheng
    Gu, Xinjian
    2007 INTERNATIONAL CONFERENCE ON WIRELESS COMMUNICATIONS, NETWORKING AND MOBILE COMPUTING, VOLS 1-15, 2007, : 5427 - +
  • [43] A study of the use of simulated work task situations in interactive information retrieval evaluations A meta-evaluation
    Borlund, Pia
    JOURNAL OF DOCUMENTATION, 2016, 72 (03) : 394 - 413
  • [44] Enriching search and retrieval of multimedia information with DRM services and context-based content adaptationA
    Carreras, Anna
    Tous, Ruben
    Rodriguez, Eva
    Delgado, Jaime
    Cordara, Giovanni
    Francini, Gianluca
    Lepsoy, Skjalg
    Dogan, Safak
    Arachchi, Hemantha Kodikara
    DEXA 2008: 19TH INTERNATIONAL CONFERENCE ON DATABASE AND EXPERT SYSTEMS APPLICATIONS, PROCEEDINGS, 2008, : 117 - +
  • [45] INFORMATION RETRIEVAL BASED ON A SEARCH ENGINE WITH INVERTED INDEX FOR SOFIA (ONLINE SYSTEM FOR INTERACTIVE IMPROVEMENT OF PRIMARY CARE)
    Serra, Humberto Oliveira
    Maia, Lucas Bezerra
    Salomon, Alexis
    Lima, Nigel da Silva
    Silva, Rubem de Sousa
    Maia, Anilton Bezerra
    Araujo, Amanda Rocha
    Sousa, Tercio Maia
    Dias, Luis Viegas
    Moraes Montes, Mauricio Alves
    13TH INTERNATIONAL TECHNOLOGY, EDUCATION AND DEVELOPMENT CONFERENCE (INTED2019), 2019, : 9279 - 9283
  • [46] Post-retrieval search hit clustering to improve information retrieval effectiveness: Two digital forensics case studies
    Beebe, Nicole Lang
    Clark, Jan Guynes
    Dietrich, Glenn B.
    Ko, Myung S.
    Ko, Daijin
    DECISION SUPPORT SYSTEMS, 2011, 51 (04) : 732 - 744
  • [47] Reflection on future directions: a systematic review of reported limitations and solutions in interactive information retrieval user studies
    Jiang, Tianji
    Liu, Jiqun
    ASLIB JOURNAL OF INFORMATION MANAGEMENT, 2024, 76 (01) : 104 - 131
  • [48] Synthesizer: Expediting synthesis studies from context-free data with information retrieval techniques
    Gandy, Lisa M.
    Gumm, Jordan
    Fertig, Benjamin
    Thessen, Anne
    Kennish, Michael J.
    Chavan, Sameer
    Marchionni, Luigi
    Xia, Xiaoxin
    Shankrit, Shambhavi
    Fertig, Elana J.
    PLOS ONE, 2017, 12 (04):
  • [49] Using Data-Prompted Interviews in Interactive Information Retrieval Research A Reflection on The Study of Self-Efficacy When Learning Using Search
    Cole, Amelia W.
    O'Brien, Heather L.
    PROCEEDINGS OF THE 2023 CONFERENCE ON HUMAN INFORMATION INTERACTION AND RETRIEVAL, CHIIR 2023, 2023, : 406 - 411
  • [50] Extended co-citation search: Graph-based document retrieval on a co-citation network containing citation context information
    Eto, Masaki
    INFORMATION PROCESSING & MANAGEMENT, 2019, 56 (06)