Short answer

Design information systems by first thoroughly researching and modeling the specific information-seeking behaviors and needs of your target user group, rather than relying on generic assumptions.

Field: User-Centred Design
Source: City Research Online (City University London) (2010)
Method: Mixed-methods research combining qualitative interviews, observations, and quantitative survey analysis.
Sample: 2100+ survey responses, unspecified number of interview and observation participants.
Evidence: Strong effect

Designing information systems that explicitly model the unique information-seeking behaviors and material characteristics of a specific scientific community significantly improves search effectiveness and precision. This user-centred design research insight is drawn from a 2010 study published in City Research Online (City University London). Using Mixed-methods research combining qualitative interviews, observations, and quantitative survey analysis. with 2100+ survey responses, unspecified number of interview and observation participants., researchers explored how this design variable affects real-world outcomes. The key design takeaway: Design information systems by first thoroughly researching and modeling the specific information-seeking behaviors and needs of your target user group, rather than relying on generic assumptions.

Study

User-Centred DesignHigh ImpactStrong effect

Tailoring Information Systems to Scientific Workflows Enhances Search Precision

City Research Online (City University London) · 2010

Key Findings

01Current information systems do not optimally address the information-seeking behavior of scholars, particularly within scientific communities.
02A system designed to match scholarly material characteristics and user behavior can increase search effectiveness and precision.
03Personas derived from user research can effectively represent user groups for system design and evaluation.

Application

Design takeaway

Design information systems by first thoroughly researching and modeling the specific information-seeking behaviors and needs of your target user group, rather than relying on generic assumptions.

How to apply

When designing any information system, especially for specialized professional groups, conduct in-depth user research to create detailed personas and develop a conceptual model that reflects their unique workflows and information needs before proceeding to interface design.

Project actions

01Conduct user interviews and observations to understand your target audience's needs and behaviors.
02Create user personas to represent different types of users and their goals.
03Develop a conceptual model that explains how the system will work from the user's perspective.

Method & Evidence

AimCan an information-seeking system designed to address the nature of scholarly materials and the information-seeking behavior of scholars within a specific scientific community increase the effectiveness of their searches and enable them to find and obtain relevant materials with greater ease and precision?

MethodMixed-methods research combining qualitative interviews, observations, and quantitative survey analysis.

ProcedureResearchers conducted interviews and observations of high-energy physics (HEP) researchers to understand their information-seeking behavior and search practices. They also analyzed over 2,100 survey responses, focusing on open-ended feedback. Based on this data, six personas representing typical HEP researchers were created. An original information-seeking model was developed, integrating existing models and reflecting the active information-seeking and searching practices of HEP scholars and the nature of their data. This model was then evaluated using scenarios involving the personas. Finally, a software user interface for the INSPIRE information system was designed based on the model and evaluated using the personas.

Sample2100+ survey responses, unspecified number of interview and observation participants.

ContextScientific research, specifically high-energy physics (HEP) information systems.

Variables

IVInformation system design tailored to user behavior and material characteristics.

DVSearch effectiveness, ease of finding relevant materials, precision of search results.

CVNature of scholarly materials, specific scientific community (HEP).

Strengths & Limitations

Strengths

+Comprehensive user research methodology (interviews, observations, surveys).
+Development of a novel information-seeking model.
+Creation and use of user personas for design validation.

Limitations

The sample size for interviews and observations might be small, and the personas are representations, not exhaustive of every user.

Reliability & validity

Reliability could be improved by having multiple researchers conduct interviews and observations to ensure consistency in data collection. Validity is supported by the triangulation of data from interviews, observations, and surveys, and by evaluating the design against user personas.

Think critically

How might the information-seeking behaviors of a different scientific discipline, like biology or social sciences, differ from those in high-energy physics, and how would that impact the design of an information system?

Design Principles

"Domain-specific information system design must be grounded in an empirical understanding of user behavior and information characteristics."

Understanding the nuanced ways experts in a field interact with information is crucial for developing tools that genuinely support their research. Generic systems often fail to capture the specific needs, terminology, and search strategies employed by specialized communities, leading to inefficient discovery processes.

What This Means for Your Design

If you want to make a website or app for scientists, you need to talk to them and watch how they find information first. Then, you can build something that actually helps them, not just something that looks good.

How to use in your project

1.Use the findings to justify the need for user research in your design project.
2.Explain how user personas and conceptual models informed your design decisions.

Add to My Project

Quick Cite

Paragraph starter

This research highlights the critical importance of user-centered design in information systems. By conducting thorough qualitative and quantitative research into the specific information-seeking behaviors of a target user group, such as high-energy physicists, it is possible to develop a robust conceptual model and subsequently design a user interface that significantly enhances search effectiveness and precision. This approach, which involves creating detailed user personas and evaluating designs against their needs, ensures that the final product is not only functional but also highly relevant and efficient for its intended users.

Source

City Research Online (City University London)

A model of scientists' information seeking and a user-interface design

journal · 2010

View source

Questions About This Research

What does the research say about tailoring information systems to scientific workflows enhances search precision?: Design information systems by first thoroughly researching and modeling the specific information-seeking behaviors and needs of your target user group, rather than relying on generic assumptions. Evidence: City Research Online (City University London) (2010).
Why does "Tailoring Information Systems to Scientific Workflows Enhances Search Precision" matter for design?: Understanding the nuanced ways experts in a field interact with information is crucial for developing tools that genuinely support their research. Generic systems often fail to capture the specific needs, terminology, and search strategies employed by specialized communities, leading to inefficient discovery processes.
How can designers apply this research?: Design information systems by first thoroughly researching and modeling the specific information-seeking behaviors and needs of your target user group, rather than relying on generic assumptions.
What were the main findings?: Current information systems do not optimally address the information-seeking behavior of scholars, particularly within scientific communities.. A system designed to match scholarly material characteristics and user behavior can increase search effectiveness and precision.. Personas derived from user research can effectively represent user groups for system design and evaluation.
What research method was used?: Mixed-methods research combining qualitative interviews, observations, and quantitative survey analysis. with 2100+ survey responses, unspecified number of interview and observation participants..
How strong is the evidence?: Evidence strength is rated Strong effect, based on a 2010 journal from City Research Online (City University London).
What should I do differently in my next project?: When designing any information system, especially for specialized professional groups, conduct in-depth user research to create detailed personas and develop a conceptual model that reflects their unique workflows and information needs before proceeding to interface design.
What are the limitations?: The study focuses on a single scientific community (HEP), and the findings may not be directly generalizable to all scientific disciplines or other user groups. The evaluation of the user interface design was based on scenarios and personas, rather than live user testing in a real-world research context.