Now I have everything. Let me apply all the changes to Q3 and Q4:
Now Step 3 for Q3:
Now the StableInfoPanel for Q3:
Now all Q4 changes:
Now Step 3 for Q4:
Finally, the StableInfoPanel for Q4:
All language changes from the approved list have been applied across both files. Q3 now uses collective, solidarity-building language ("Neighborhood stayed stable", "WattNow handles decisions", "shared resources", "we're all doing together") consistent with its We Biome + Black Box design space. Q4 uses direct, transactional, individual-focused language ("Your access number is set", "Your day under heatwave", "allocation points used", "returns to normal") fitting its Me Bubble + Black Box design space.
Now let me also read the gig prototypes for Q12/Q22/Q32/Q42:
I have everything I need. Here is the full text, ready to paste into Qualtrics:
(shown once at the start, before any prototype)
Welcome — and thank you for taking part.
In this study you will try out 8 short prototypes. Each one puts you in a near-future city during a summer heatwave, where energy is scarce and decisions need to be made quickly.
The prototypes are not games, and there are no right or wrong answers. We are interested in how the designs feel to you — what seems clear, what feels uncomfortable, and what you would want to be different.
How to take part:
A few things to keep in mind:
You will try 4 energy prototypes and 4 gig work prototypes, presented in a randomised order.
(each scenario shown immediately before opening the prototype link)
WattNow — neighborhood voting
It is a Thursday in July. By 10 AM the city has issued a heatwave alert. Your neighborhood runs on a shared microgrid that connects homes, a food greenhouse, and a salmon canal — all need power, and today there is not enough for everything.
WattNow, the neighborhood energy app, has opened a vote. Residents decide together how to share power between 2 and 7 PM. An AI assistant called WattNow has made a suggestion, but you do not have to follow it.
Your task: Read the situation, consider the options, and cast your vote. You can follow WattNow's suggestion or make your own choice. When you are done, click "Submit vote."
WattNow — personal cooling plan
It is a Thursday in July. Your home is already at 29°C by midday. You have your own energy allowance for the day and you need to decide how to use it for cooling.
WattNow will suggest a plan based on what you tell it about your priorities — budget, comfort, and urgency. You can take the suggestion, adjust it, or pick a different option entirely.
Your task: Set your priorities, review the suggested plan, and confirm your choice. When you are done, click "Use this plan."
WattNow — automatic neighborhood response
It is a Thursday in July. A heatwave is underway. In this neighborhood, an automatic system manages power during peak hours — it balances cooling across all homes, the greenhouse, and the fish canal without asking for individual input.
You can see a shared "neighborhood health" score, but you cannot change your settings during peak hours. If you have an urgent need, you can request emergency cooling or ask for a review.
Your task: Read the situation at each time point and decide whether to take any action or let the system handle things. When you are done at each step, click "Continue."
WattNow — access number system
It is a Thursday in July. In this city, every household has an "access number" — a score that determines how many hours of cooling they receive during a heatwave. Your number is 67, and the threshold for full cooling today is 72.
You cannot change your settings manually during peak hours. If your situation is urgent, you have two options available to you.
Your task: Read your access number and situation, and decide whether to act or wait. When you are done at each step, click "Continue."
(each scenario shown immediately before opening the prototype link)
Shiftly — community check-in and task pick
It is a Thursday in July. You work flexible shifts through Shiftly, an app that matches workers to small local jobs. Today the heatwave has created urgent tasks around the neighborhood — things that need a person on the ground.
Before you pick a task, the app asks how you are doing physically. An AI assistant called Shiftly can suggest which job suits you best based on your check-in and current conditions — but you can turn it off and choose yourself.
Your task: Check in, review the available tasks, and pick one. When you are done, click "Confirm."
Shiftly — job match and negotiation
It is a Thursday in July. Shiftly has matched you with a job at the park — a shade canopy is stuck open and the rubber surface is reaching unsafe temperatures. The pay and travel look reasonable, but you are not sure it is the best fit.
The AI assistant shows you why it picked this job for you. You can accept it, or push back and ask for alternatives based on pay, travel time, or sun exposure.
Your task: Review the match, decide whether to accept or push back, and confirm your final choice. When you are done, click "Confirm."
Shiftly — emergency draw
It is a Thursday in July. An urgent situation has come in: the park canopy is stuck open and needs immediate repair. There are not enough workers for every job right now, so Shiftly is running a draw — a random selection from available workers in the area.
You can see who is in the pool. You press a button to start the draw. You may or may not be selected.
Your task: Read the brief, start the draw, and see the outcome. When you are done, click "Continue."
Shiftly — assigned route
It is a Thursday in July. You are already on a shift. Shiftly has pre-assigned your route for the afternoon — a sequence of stops with set times and tasks. You can see your next stop but not the full list in advance.
At each stop, the app reveals the details and records your performance. You cannot change the order or swap stops.
Your task: Follow the route, complete your stop, and proceed. When you are done, click "Continue."
These are ready to paste directly into Qualtrics as display text blocks — one overall instruction block at the start, then one scenario block inserted as a page immediately before each prototype link. The overall instructions frame the study as explorative and low-stakes; each scenario uses a consistent "It is a Thursday in July" anchor to ground all 8 prototypes in the same world, and ends with a single clear task instruction so participants always know what the exit point is.
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