Toyota Central R And D Labs: Research Institution — Prolific Citations Library

Browse 1 peer-reviewed paper from Toyota Central R And D Labs spanning Human-Computer Interaction (HCI) (2025). Research powered by Prolific's high-quality participant data.

This page lists 1 peer-reviewed paper from researchers at Toyota Central R And D Labs in the Prolific Citations Library, a curated collection of research powered by high-quality human data from Prolific.

Papers (1 of 1)

Impact of Tone-Aware Explanations in Recommender Systems

Authors: A Okoso, K Otaki, S Koide, Y Baba

Year: 2025

Published in: ACM Transactions on Recommender Systems, 2025•dl.acm.org

Institution: Toyota Central R and D Labs, Toyota

Research Area: Human-Computer Interaction (HCI)

Discipline: Machine Learning, Artificial Intelligence

The study demonstrates that tailoring the tone of textual explanations in recommender systems to domains and user attributes, such as age and personality traits, can enhance users' perceptions and engagement.

Methods: Two online user studies: (1) 470 participants evaluated synthetic explanations with six tones across three domains (movies, hotels, and home products), (2) 103 participants engaged with a real-world dataset from the hotel domain using a personalized recommender system.

Key Findings: The perceived effects of different textual explanation tones on users, examined across domains (movies, hotels, home products) and user attributes (e.g., age, personality traits).

DOI: https://dl.acm.org/doi/10.1145/3718101

Citations: 13

Sample Size: 573