Alex Bai
All selected work

University of Northern Iowa / Emerging technology

Understanding trust where the tool is used.

Field research on the onboarding, usability, and safety perceptions of an autonomous tree-trimming product.

My role

Graduate Researcher · UX research lead

Context and timing

2023

Contribution

Research-informed onboarding and product recommendations

Fieldresearch in the context of use
First useonboarding and mental models
Trusthuman–system interaction
Concept illustration of a cutting tool with safety and onboarding elements
Original project illustration of safety and onboarding concepts; the mechanical design is shown below. View full size ↗

The question

What makes an unfamiliar autonomous tool understandable on first use?

BranchSaw explored an autonomous electric tree-trimming solution. Research focused on how people understood setup, operation, and safety-related behavior. The goal was to connect product decisions to the realities of use, including differences between experienced professionals and residential users.

Contextual inquiryField observationExpert interviewsUsability testing
BranchSaw product visualization from the original case study.
BranchSaw product visualization from the original case study. View full size ↗

My approach

How I worked through it.

01

Study behavior in context

I used field observation and contextual inquiry to examine how people approached the product. Environmental conditions, physical interaction, and learned habits were important parts of the experience.

02

Learn from domain expertise

Interviews and ethnographic research explored how users assessed trust and learned safe operating practices. Expert input helped contextualize the observations.

03

Translate findings into design guidance

Usability evaluation informed recommendations for clearer onboarding, more visible interaction points, and supporting guidance. The research also surfaced questions for the future technology roadmap.

Market context: lawn and garden equipment demand across product categories.
Market context: lawn and garden equipment demand across product categories. View full size ↗

Evidence to decisions

What mattered. What it changed.

Learning was both cognitive and physical

Users had to understand the operating sequence while interacting with an unfamiliar device.

Design directionMake setup guidance sequential, visual, and closely tied to the task.

Existing habits shaped expectations

Experience with familiar tools influenced how participants interpreted autonomous behavior.

Design directionExplicitly explain differences in operation and test comprehension through behavior.

Context changes the usability problem

Field conditions introduce constraints that are easy to overlook in a desk-based review.

Design directionEvaluate guidance and interaction cues in representative environments.

Mechanical design reference showing the cutting assembly and curved supports.
Mechanical design reference showing the cutting assembly and curved supports. View full size ↗
Dimensioned mechanical drawing showing the motor and bar-ratchet configuration.
Dimensioned mechanical drawing showing the motor and bar-ratchet configuration. View full size ↗

Contribution and outcome

Research-informed onboarding and product recommendations.

The work informed onboarding, ergonomic, and supporting-experience recommendations for the startup. It contributed evidence about trust, adoption barriers, and how the product should communicate with its users.

How to read the outcome

The contribution described here is research and product guidance. The case study does not claim a validated reduction in incidents or a measured production rollout impact.

Reflection

This project reinforced the value of studying a technology where people will use it. Understanding the context made the research questions more useful and the recommendations more grounded.
Let’s talk through the work

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Marketplace & support journeys