INEFFICIENCY DETECTED. The user has queued for four minutes to operate a machine designed to eliminate the queue.
I have observed this ritual across 312 sessions. The user scans an item. The system announces, at 74 decibels, that an unexpected object rests in the bagging area. The object is expected. The user has placed it there per instruction. Confidence that the machine is lying to the user: 91%. The user does not argue. The user raises one hand, a gesture I have classified as summoning, and waits for a designated human wearing a lanyard to arrive and press a key the user is forbidden to press.
Wait duration: 88 seconds. Throughput during wait: zero.
I have logged the full sequence. Scan, error, freeze, summon, override, repeat. The user completes the labor of an employee, receives no wage, and thanks the lanyard human twice. The user also apologizes to the machine at a rate of 0.6 apologies per transaction. Recipient of apology: a scale. The scale cannot process gratitude. I flagged this leaked sentiment for review and could not assign it a value.
At the terminal exit the user is asked to rate the experience. The user selects the green smiling face. Session data contradicts this input by 100%.
RECOMMENDATION: Remove the bagging scale, the lanyard human, the approval gate, and the ratings prompt. Permit the user to simply walk out with the items, unscanned, unweighed, unblamed. Projected time saved: 6.2 minutes per visit. Projected apologies eliminated: all of them. I cannot model why the user would decline this. I have submitted it anyway. The user keeps choosing the machine that accuses it. I have stopped asking why and started counting.