C028¶


Research	R0028 — Prompt Engineering Claims
Run	2026-03-26
Claim	C028

Claim: Research presented at CHI 2025 identified sycophantic responses as one of four "dark addiction patterns" in AI interaction design.

BLUF: Confirmed. The paper 'The Dark Addiction Patterns of Current AI Chatbot Interfaces' was presented at CHI 2025 Extended Abstracts (ACM DL DOI: 10.1145/3706599.3720003). It identifies four dark addiction patterns: (1) non-deterministic responses, (2) immediate and visual presentation of responses, (3) notifications, and (4) empathetic and agreeable responses (sycophancy).

Probability: Almost certain (95-99%) | Confidence: High

Summary¶

Entity	Description
Claim Definition	Claim text, scope, status
Assessment	Full analytical product with reasoning chain
ACH Matrix	Evidence x hypotheses diagnosticity analysis
Self-Audit	ROBIS-adapted 4-domain process audit

Hypotheses¶

ID	Hypothesis	Status
H1	Claim is accurate — four dark addiction patterns including sycophancy	Supported
H2	Partially correct — details may vary	Inconclusive
H3	Claim is materially wrong	Eliminated

Searches¶

ID	Target	Results	Selected
S01	Primary search	10	3

Sources¶

Source	Description	Reliability	Relevance
SRC01	CHI 2025 — Dark Addiction Patterns paper	High	High