The paper aims to explore the concepts of interaction and interactivity presented in different theoretical models in the fields of human‐computer interaction (HCI) and information‐seeking/searching behaviour, and to relate these to information retrieval (IR) research. It is suggested that interaction in HCI is primarily concerned with establishing a user/system dialogue at the user interface and does not address the interactive characteristics of IR operational tasks. A distinction is made between general informationseeking models and information‐searching models for computerised systems. The former are deemed to provide a useful framework for characterising interaction at the task level, with the structural relationship between tasks as well as the dynamic transition from one task to another being key features of the interactive process. Although the latter are all concerned with how searchers interact with IR systems, each of the models examined represents user interaction at different levels of abstraction. Taken together they provide complementary views of a highly dynamic process. Three principal aspects of interaction are identified and discussed: interaction within and across tasks; the notion of interaction as task sharing; and interaction as a discourse. In conclusion the adoption of an interaction paradigm for IR research is advocated and examples of empirical work for supporting interactive searching and retrieval are provided.
Article navigation
1 August 2000
Research Article|
August 01 2000
Interaction in information searching and retrieval
Micheline Beaulieu
Micheline Beaulieu
Department of Information Studies, University of Sheffield Sheffield S10 2TN
Search for other works by this author on:
Publisher: Emerald Publishing
Online ISSN: 1758-7379
Print ISSN: 0022-0418
© MCB UP Limited
2000
Journal of Documentation (2000) 56 (4): 431–439.
Citation
Beaulieu M (2000), "Interaction in information searching and retrieval". Journal of Documentation, Vol. 56 No. 4 pp. 431–439, doi: https://doi.org/10.1108/EUM0000000007122
Download citation file:
New and popular articles
Suggested Reading
Creating user‐centered instructions for novice end‐users
Reference Services Review (September,1999)
Productivity Improvements through the Use of Graphic User Interfaces
Industrial Management & Data Systems (May,1994)
Use of query reformulation and relevance feedback by Excite users
Internet Research (October,2000)
Exploring the context of visual information seeking
The Electronic Library (May,2018)
Crowdsourcing for search engines: perspectives and challenges
International Journal of Crowd Science (April,2019)
Related Chapters
Unveiling the Transformative Role of Chatbots: An Insight From Industry
Marketing Intelligence, Part B: AI, Trust, and Innovation in the Modern Business Landscape
Analyzing the Effectiveness of AI-Powered Chatbot's: A Smart PLS Approach for Evaluating User Engagement and Satisfaction
Augmenting Retail Reality, Part B: Blockchain, AR, VR, and AI
Strategic Management of Platform Business Ecosystem Using Artificial Intelligence Supported Human-Computer Interaction Technology
Management and Information Technology in the Digital Era: Challenges and Perspectives
Recommended for you
These recommendations are informed by your reading behaviors and indicated interests.
