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TRUVACE RECORD VERSION
record: TRV-2026-2679
version: 1
kind: certified
reason: Certified into the record
timestamp: 2026-11-12T17:00:03.615163Z
status: published
lens: g_space
sector: lifestyle
headline: Prompting with Respect: Cultural Norms and User Experience in LLM Interactions
dek: Despite growing interest in prompt engineering, its influence on user experience-particularly in relation to cultural communication norms-remains largely unexplored. This controlled experiment examined how respectful versus directive prompting-a culturally meaningful contrast in Korean-affects Korean users' psychological experience during LLM interactions. Forty-three Korean female college students were randomly assigned to respectful prompt (RP) (using polite requests, compliments, and gratitude) or directive p…
gain_title: In a randomized experiment with 43 Korean female college students, those who wrote polite, grateful prompts to ChatGPT reported significantly higher satisfaction, especially affinity and likability, than those who used imperatives and criticism.
problem_title: (none)
trace_subject: (none)
gain_reading: In a randomized experiment with 43 Korean female college students, those who wrote polite, grateful prompts to ChatGPT reported significantly higher satisfaction, especially affinity and likability, than those who used imperatives and criticism.
gain_evidence: RPs yielded significantly higher satisfaction, particularly for affinity and likability
problem_reading: (none)
problem_evidence: (none)
quick_read: A controlled experiment with 43 Korean female college students tested whether the tone of their prompts changed how they felt about ChatGPT. Half wrote respectful prompts with polite requests, compliments and gratitude; the others wrote directive prompts using imperatives, criticism and performance-based penalties. All completed a writing task with ChatGPT.

Respectful prompting produced significantly higher satisfaction, particularly affinity and likability. Perceived output quality differed less between groups, and that difference was not significant. So the tone shaped how users felt about the exchange more than how good they judged the writing.

ChatGPT also responded differently: respectful prompts drew socially supportive replies, while directive prompts were followed by apologies. The authors read this as two-way social adaptation between users and the chatbot, and argue that language models should be designed to recognise different cultural communication patterns.
limitation: The experiment involved only 43 Korean female college students on a single writing task, which limits how far the results extend to other groups, languages or tasks.
tag: Evidence-backed gain
key_points: Forty-three Korean female college students were randomly assigned to respectful or directive prompting. | Respectful prompts used polite requests, compliments and gratitude; directive prompts used imperatives, criticism and performance-based penalties. | Participants completed a writing task using ChatGPT. | Satisfaction was significantly higher with respectful prompts, especially affinity and likability. | The difference in perceived output quality was smaller and not significant. | ChatGPT gave socially supportive responses to respectful prompts and apologies after directive ones.
rundown: The experiment focused on a contrast that carries cultural meaning in Korean: respectful versus directive speech. Researchers wanted to know how this affects users' psychological experience with a large language model, an area they describe as largely unexplored despite interest in prompt engineering.

Participants were randomly assigned to one of two conditions and did a writing task with ChatGPT. Satisfaction ratings favoured respectful prompting, with the clearest gaps in affinity and likability, while ratings of output quality did not differ significantly.

The chatbot's replies also varied by tone. Polite prompts were met with socially supportive responses, and harsh prompts with apologies. The authors conclude that culturally grounded conventions can shape subjective experience even when perceived output quality is similar, and recommend culturally adaptive system design.
sources:
- peer_reviewed | Cyberpsychology, Behavior, and Social Networking | https://doi.org/10.1177/21522715261484255 | 2026-09-11
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