Evidence map›Paper›PMID 36820195›Full record

ArticleCurrent psychology (New Brunswick, N.J.)2023

Impact of the normativeness and intelligibility of privacy interpretation information on the willingness to accept targeted advertising -A cognitive load perspective.

Qiuhua Zhu, Rui Sun, Yuan Yuan

Abstract read
In one paragraph

Article in Current psychology (New Brunswick, N.J.), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Qiuhua ZhuSchool of Business Administration, Huaqiao University, Chenghua North Road, Fengze District, Quanzhou, People's Republic of China.ORCID 0000-0002-3980-2823
Rui SunSchool of Business Administration, Huaqiao University, Chenghua North Road, Fengze District, Quanzhou, People's Republic of China.
Yuan YuanSchool of Business Administration, Huaqiao University, Chenghua North Road, Fengze District, Quanzhou, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

From the perspective of the user's psychological load, this study examined the cognitive mechanism by which privacy interpretation information affects the willingness to accept targeted advertising. Our findings provide a reference for enterprises seeking to develop and improve privacy interpretation information and reduce advertising avoidance behaviour. Based on information processing theory and cognitive load theory, this study experimentally collected volunteers' electroencephalography (EEG) data, interpreted the EEG results as representing emotions and cognitive load, and analysed the impact of the normativeness and intelligibility of privacy interpretation information on the willingness to accept targeted advertising. Intelligibility significantly affected this willingness. In the case of acceptable transparency, users were more inclined to avoid targeted advertising under low interpretability. Low interpretability caused them to expend more cognitive effort, which induced a larger N2 amplitude. In the case of unacceptable transparency, the opposite conclusion was drawn. In addition, privacy information with high interpretability was more likely to arouse users' emotions and induce a greater amplitude of late positive potential. Supplementary Information: The online version contains supplementary material available at 10.1007/s12144-023-04325-6.

Indexed as

Cognitive loadEvent-related potential (ERP)Privacy interpretation informationTargeted advertising

Identifiers

PMID36820195
PMCPMC9933030

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.