Error timing and stakes shape trust in AI systems: later errors may be more damaging, early errors may matter more, and trust recovers quickly after good post-error performance, with high-stakes errors causing abrupt collapse¶

Claim · All claims
Evidence · 1 study (2 entries) · review r2 · q2
Currency · newest study 2026 · not yet checked against its sources · not reviewed by a person

Subclaims¶

Reading the evidence codes

q is the design tier, i the impact, n the sample, and the kind with its r the rigour judged within that kind: what each code means.

This claim: no standardized effect is recorded in observations/ for it yet, so no benchmark reading is possible.

q2 i? Two reviewed studies on error timing reached complementary conclusions—one found later errors more damaging, the other early errors—while both agreed trust can recover relatively quickly if the system performs well after an error. → Abramson SL 2026 q2 i? Error timing effects were highly context-dependent: errors in high-stakes systems caused an abrupt collapse of trust, whereas users in low-stakes scenarios were more forgiving. → Abramson SL 2026 (2)

Evidence¶

Abramson SL 2026¶

Abramson SL, Sora-Cardenas J, Nandakumar P, Bruce JE, Gopinath N, Zangari LG and Feijóo-García PG (2026). Trust and interaction design in AI-enabled systems: a systematic literature review. Front. Psychol. 17:1932655. https://doi.org/10.3389/fpsyg.2026.1932655

q2 · i? · review · r2

The review reports two studies (average sample size n=286) on error placement with complementary rather than conflicting perspectives; both agreed trust "can recover relatively quickly if the system performs well following an error".

"One study found that errors occurring later in an interaction were more damaging to trust, while the other suggested that early errors had the greater impact (Freeletal., 2025 ; Kahretal., 2024)."

Abramson SL 2026 (2)¶

q2 · i? · review · r2

The review attributes this stakes-moderation finding to Freele et al. (2025): high-stakes errors caused "an abrupt collapse of trust" while low-stakes users maintained trust despite identical errors. No effect sizes are printed.

"Freeletal.(2025) additionallyfoundthattheeﬀectsoferrortiming were highly context-dependent: errors in high-stakes systems caused an abrupt collapse of trust, whereas users in low-stakes scenarios were more forgiving, often maintaining trust despite identicalerrors."

Discussion¶

Explainability's effect on trust in AI-enabled systems is mixed: it can increase trust and reliance but also raises cognitive load, slows performance, and sometimes does not improve trust — related
Nine interaction design factors recur in post-2023 research on trust in AI-enabled systems, with explainability the most studied — related
A physics-education review reports one study (Ding et al. 2023) in which high-trust students agreed with ChatGPT's answers 100% of the time although those answers were 82% accurate — related
The tool's effect differs by timing: early AI acts as a momentum starter, later AI as a deepener raising narrative transportation — related
Self-reported LLM usage collapses at the first team milestone and recovers only partially on later coding-heavy team tasks — related
Longitudinal studies of trust and reliance in AI advice examine whether users rely appropriately over time but not whether independent reasoning capacity is maintained — related
Role ambiguity for a Black-accented agent destabilized trust, culminating in breakdown after the agent inaccurately tracked group decisions — related

Page metadata

Field	Value
`type`	`claim`
`id`	`error-timing-and-stakes-shape-trust`
`title`	`Error timing and stakes shape trust in AI systems: later errors may be more damaging, early errors may matter more, and trust recovers quickly after good post-error performance, with high-stakes errors causing abrupt collapse`
`description`	`Error timing and stakes shape trust in AI systems: later errors may be more damaging, early errors may matter more, and trust recovers quickly after good post-error performance, with high-stakes errors causing abrupt...`
`status`	`review`
`evidence_strength`	`weak`
`newest_evidence`	`2026`
`generated`	by `process:wiki-ingest` on `2026-10-10`
`trust`	unverified — no one has confirmed this page's content
`sources`	2 — `abramson-sl-2026`, `abramson-sl-2026-2`

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