Cognitive data for designers

Integrating cognitive user data in journey maps - Explorations towards designer affinity

PROJECT TAGS

Research for design | Process design

PROJECT DETAILS

TU Delft - graduation project

Individual

20 weeks

ROLE

Design Research, User Research, Process Design, Rapid Prototyping, Project and Stakeholder Management

DELIVERABLE

Research outcomes and report

Project Worldview

Project Worldview

Overview

With this project, I aim to

  • Address the challenge of effectively using cognitive user data in design.

  • Understand barriers to integrating this data into design workflows.

  • Explore solutions to make cognitive data more accessible.

  • Identifies key barriers to incorporation from the designer's perspective.

  • Propose methods for seamless integration of cognitive data into design decisions through user journey mapping.

RESEARCH vision

To explore designers' affinity for integrating cognitive user data into their workflows.

Flow of Research

Flow of Research

Research

Research

Understanding Cognitive Data in Design

To understand the context, I conducted a user research and literature research (see Section Evidence). Through this, I identified and understood the challenges of this problem.

Challenges identified

Designer Struggles

Understanding Cognitive Data

Designers have varying levels of understanding of cognitive data.

Visualising Observations

Many struggle to visualize observations from qualitative data.

Lack of time

Limited time is allocated for integrating cognitive data into their work.

Revisiting Data

Revisiting and reusing data is challenging due to poor documentation.

Differing Project Priorities

User research often prioritizes usability over deeper (explicit) cognitive insights.

Data Complexity

Varying typologies and granularities of data

Cognitive data varies depending on the collection method, ranging from general behavior patterns to detailed thought processes.

Lack of Standard Visualisation Form

There is no standard format for presenting user data in a cohesive way for designers.

Exploring Designer's Affinity

Designer's affinity to cognitive data - focusing on aspects that impact posterity, comprehension and reliability.

Owing to the complexity of cognitive data and the limited time that the project afforded, I narrowed down my scope and focus to exploring designer's affinity to cognitive data. Through this, I aimed to understand the aspects that makes cognitive user data more approachable by designers. Focus will be on posterity to help revisit data, comprehension to improve understanding and reliability of data.

Probe design

Two probes were created to test designer's affinity:
an Interactive Map and a Static Map

Probes were designed to simulate use cases for designers based on the following requirements. Both show a synthesized user journey of a pilot flying a transatlantic flight, integrating observations and varying levels of cognitive data from an EEG—from raw to processed.

Requirements

Presenting Integrated User Journey

The goal is to present designers with an integrated user journey map (combining cognitive data and observations in user journey maps), IUJM in short, to study how they interact with it.

Understanding Posterity

Inquiry into designer's take on data posterity needs to be conducted with respected to cognitive data in IUJMs.

Understanding Comprehension

Varying abstractions of data needs to be depicted in the IUJM to understand the level that designers have most affinity to.

Understanding Presentation Preferences

Different ways of information display needs to be presented to understand preference of designers to ensure that the IUJMs are used in long term.

Understanding Reliability

The ability of the IUJM to establish trust in information needs to be studied.

Features

User test

Prototype for User Test
User Test Method
🧐
Exploration of IUJMs
🧐
Exploration of IUJMs
🧐
Exploration of IUJMs
⚖️
Heuristic Evaluation -System Usability Scale
⚖️
Heuristic Evaluation -System Usability Scale
⚖️
Heuristic Evaluation -System Usability Scale
♻️
Posterity Task
♻️
Posterity Task
♻️
Posterity Task
🎙️
Interview
🎙️
Interview
🎙️
Interview
Research Analysis

Conclusion and Impact

Conclusion and Impact

The research project has contributed to the study of design and it's processes in the following ways -
Process Design Improvements
Insights on Designer
MVP for Integration
Integrate qualitative data (e.g., observations) into user journey maps.
Display interpreted data in context, rather than raw data.
Enhance confidence by showing cognitive data alongside user journeys.
Design for both types of thinkers: big-picture and detail-oriented.
The probes developed serve as MVPs for integrated user journey maps that can be used for both types of thinkers.

These can be further developed into applications like TheyDo for journey map documentation.

Integrate qualitative data (e.g., observations) into user journey maps.
Display interpreted data in context, rather than raw data.
Enhance confidence by showing cognitive data alongside user journeys.
Design for both types of thinkers: big-picture and detail-oriented.
The probes developed serve as MVPs for integrated user journey maps that can be used for both types of thinkers.

These can be further developed into applications like TheyDo for journey map documentation.

Integrate qualitative data (e.g., observations) into user journey maps.
Display interpreted data in context, rather than raw data.
Enhance confidence by showing cognitive data alongside user journeys.
Design for both types of thinkers: big-picture and detail-oriented.
The probes developed serve as MVPs for integrated user journey maps that can be used for both types of thinkers.

These can be further developed into applications like TheyDo for journey map documentation.

Other projects
Intrigued? Get in touch.
Intrigued? Get in touch.

© Sreeniza Bhamidi | 2024

© Sreeniza Bhamidi | 2024