Toward Natural Language Mitigation Strategies for Cognitive Biases in Recommender Systems

Alisa Rieger; Mariet  Theune; Nava Tintarev

Toward Natural Language Mitigation Strategies for Cognitive Biases in Recommender Systems

Alisa Rieger, Mariet Theune, Nava Tintarev

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

153 Downloads (Pure)

Abstract

Cognitive biases in the context of consuming online information filtered by recommender systems may lead to sub-optimal choices. One approach to mitigate such biases is through interface and interaction design. This survey reviews studies focused on cognitive bias mitigation of recommender system users during two processes: 1) item selection and 2) preference elicitation. It highlights a number of promising directions for Natural Language Generation research for mitigating cognitive bias including: the need for personalization, as well as for transparency and control.

Original language	English
Title of host publication	NL4XAI 20202nd Workshop on Interactive Natural Language Technologyfor Explainable Artificial Intelligence
Editors	Jose Alonso, Alejandro Catala
Publisher	Association for Computational Linguistics (ACL)
Number of pages	5
ISBN (Electronic)	978-1-952148-56-9
Publication status	Published - 2020
Event	2nd Workshop on Interactive Natural Language Technologyfor Explainable Artificial Intelligence 2020 - Virtual Workshop Duration: 18 Dec 2020 → 18 Dec 2020 Conference number: 2

Workshop

Workshop	2nd Workshop on Interactive Natural Language Technologyfor Explainable Artificial Intelligence 2020
City	Virtual Workshop
Period	18/12/20 → 18/12/20

Access to Document

2020.NL4XAI-1.11Accepted author version, 91.6 KB

https://aclanthology.org/2020.nl4xai-1.11.pdf

Cite this

Rieger, A., Theune, M., & Tintarev, N. (2020). Toward Natural Language Mitigation Strategies for Cognitive Biases in Recommender Systems. In J. Alonso, & A. Catala (Eds.), NL4XAI 20202nd Workshop on Interactive Natural Language Technologyfor Explainable Artificial Intelligence Association for Computational Linguistics (ACL). https://aclanthology.org/2020.nl4xai-1.11.pdf

@inproceedings{437c2bda80294992ac4cc9916ea21800,

title = "Toward Natural Language Mitigation Strategies for Cognitive Biases in Recommender Systems",

abstract = "Cognitive biases in the context of consuming online information filtered by recommender systems may lead to sub-optimal choices. One approach to mitigate such biases is through interface and interaction design. This survey reviews studies focused on cognitive bias mitigation of recommender system users during two processes: 1) item selection and 2) preference elicitation. It highlights a number of promising directions for Natural Language Generation research for mitigating cognitive bias including: the need for personalization, as well as for transparency and control.",

author = "Alisa Rieger and Mariet Theune and Nava Tintarev",

year = "2020",

language = "English",

editor = "Jose Alonso and Alejandro Catala",

booktitle = "NL4XAI 20202nd Workshop on Interactive Natural Language Technologyfor Explainable Artificial Intelligence",

publisher = "Association for Computational Linguistics (ACL)",

address = "United States",

note = "2nd Workshop on Interactive Natural Language Technologyfor Explainable Artificial Intelligence 2020 ; Conference date: 18-12-2020 Through 18-12-2020",

}

Rieger, A, Theune, M & Tintarev, N 2020, Toward Natural Language Mitigation Strategies for Cognitive Biases in Recommender Systems. in J Alonso & A Catala (eds), NL4XAI 20202nd Workshop on Interactive Natural Language Technologyfor Explainable Artificial Intelligence. Association for Computational Linguistics (ACL), 2nd Workshop on Interactive Natural Language Technologyfor Explainable Artificial Intelligence 2020, Virtual Workshop, 18/12/20. <https://aclanthology.org/2020.nl4xai-1.11.pdf>

Toward Natural Language Mitigation Strategies for Cognitive Biases in Recommender Systems. / Rieger, Alisa; Theune, Mariet ; Tintarev, Nava.
NL4XAI 20202nd Workshop on Interactive Natural Language Technologyfor Explainable Artificial Intelligence. ed. / Jose Alonso; Alejandro Catala. Association for Computational Linguistics (ACL), 2020.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

TY - GEN

T1 - Toward Natural Language Mitigation Strategies for Cognitive Biases in Recommender Systems

AU - Rieger, Alisa

AU - Theune, Mariet

AU - Tintarev, Nava

N1 - Conference code: 2

PY - 2020

Y1 - 2020

N2 - Cognitive biases in the context of consuming online information filtered by recommender systems may lead to sub-optimal choices. One approach to mitigate such biases is through interface and interaction design. This survey reviews studies focused on cognitive bias mitigation of recommender system users during two processes: 1) item selection and 2) preference elicitation. It highlights a number of promising directions for Natural Language Generation research for mitigating cognitive bias including: the need for personalization, as well as for transparency and control.

AB - Cognitive biases in the context of consuming online information filtered by recommender systems may lead to sub-optimal choices. One approach to mitigate such biases is through interface and interaction design. This survey reviews studies focused on cognitive bias mitigation of recommender system users during two processes: 1) item selection and 2) preference elicitation. It highlights a number of promising directions for Natural Language Generation research for mitigating cognitive bias including: the need for personalization, as well as for transparency and control.

M3 - Conference contribution

BT - NL4XAI 20202nd Workshop on Interactive Natural Language Technologyfor Explainable Artificial Intelligence

A2 - Alonso, Jose

A2 - Catala, Alejandro

PB - Association for Computational Linguistics (ACL)

T2 - 2nd Workshop on Interactive Natural Language Technologyfor Explainable Artificial Intelligence 2020

Y2 - 18 December 2020 through 18 December 2020

ER -

Toward Natural Language Mitigation Strategies for Cognitive Biases in Recommender Systems

Abstract

Workshop

Access to Document

Fingerprint

Cite this