# The effects of human training data (HTD) explanation on purchase intention for artificial intelligence (AI) technologies

**Authors:** Stephanie Kwari Dharmaputri, Greg Nyilasy, Anish Nagpal, Jing Lei

PMC · DOI: 10.1371/journal.pone.0339482 · PLOS One · 2026-02-02

## TL;DR

This paper explores how explaining human involvement in AI training data affects consumer purchase intentions for AI technologies.

## Contribution

The study introduces human training data (HTD) explanation as a novel source-based XAI solution to improve consumer acceptance of AI.

## Key findings

- HTD explanation positively influences purchase intention through perceived transfer of human essence.
- HTD explanation may reduce adoption intention among consumers with high pre-existing trust in AI.
- The psychological effects of HTD explanation are more complex than initially theorized.

## Abstract

Consumers exhibit resistance to Artificial Intelligence (AI) technologies despite their widespread deployment. One common thread linking various reasons for this is the perceptions of AI technologies’ lack of inherent human qualities. This paper explores the effect of human training data (HTD) explanation on purchase intention for AI technologies as a potential source-based explainable AI (XAI) solution to this problem. We define HTD explanation as a statement that describes the role that humans play within a given AI system’s training data in lay terms that is easy to understand for end-users. This includes descriptions of what human data is used and for what purpose (e.g., “Our ready-made meals are developed by an AI system trained on millions of people’s food and taste preferences”). We predict HTD explanation to have a positive effect on consumer purchase intention that is mediated by perceived transfer of human essence. We tested our hypotheses in four between-subjects experiments. Study 1 supports the proposed main effect. Studies 2 and 3 show evidence for the mediation mechanism. Study 4 provides marginal evidence that HTD explanation may reduce adoption intention among consumers high pre-existing trust in AI technologies. Our findings suggest that the psychological processes linking HTD explanation to consumer outcomes may be more complex than originally theorized. This study introduces HTD as a form of source-based XAI solution and offers preliminary insight into PET and deep humanization effects, where consumers may perceive AI technologies to possess human qualities by virtue of HTD use.

## Full-text entities

- **Diseases:** flu (MESH:D007251), HTD (MESH:D000095027), PET (OMIM:143470), car crash (MESH:C536029), XAI (MESH:C538243), AI (MESH:C538142)
- **Chemicals:** HTD (-)
- **Species:** Homo sapiens (human, species) [taxon 9606]

## Full text

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## References

78 references — full list in the complete paper: https://tomesphere.com/paper/PMC12863500/full.md

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Source: https://tomesphere.com/paper/PMC12863500