Abstract
Recent studies have shown that a bias in thetext suggestions system can percolate in theuser’s writing. In this pilot study, we ask thequestion: How do people interact with text pre-diction models, in an inline next phrase sugges-tion interface and how does introducing senti-ment bias in the text prediction model affecttheir writing? We present a pilot study as afirst step to answer this question.- Anthology ID:
- 2021.hcinlp-1.18
- Volume:
- Proceedings of the First Workshop on Bridging Human–Computer Interaction and Natural Language Processing
- Month:
- April
- Year:
- 2021
- Address:
- Online
- Editors:
- Su Lin Blodgett, Michael Madaio, Brendan O'Connor, Hanna Wallach, Qian Yang
- Venue:
- HCINLP
- SIG:
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 116–121
- Language:
- URL:
- https://aclanthology.org/2021.hcinlp-1.18
- DOI:
- Cite (ACL):
- Advait Bhat, Saaket Agashe, and Anirudha Joshi. 2021. How do people interact with biased text prediction models while writing?. In Proceedings of the First Workshop on Bridging Human–Computer Interaction and Natural Language Processing, pages 116–121, Online. Association for Computational Linguistics.
- Cite (Informal):
- How do people interact with biased text prediction models while writing? (Bhat et al., HCINLP 2021)
- PDF:
- https://preview.aclanthology.org/emnlp-22-attachments/2021.hcinlp-1.18.pdf