Designing useful conversational interfaces for information retrieval in career decision-making support

Wilson, Marianne

Abstract

The proposed research is an interdisciplinary problem-focused study that takes a human-focused approach to explore the usefulness of screen-based conversational information retrieval (CIR) in a complex domain. A research-through-design methodology will be used to identify the informational, practical, affective, and ethical requirements for a CIR system in the specific context of Career Education, Information, Advice & Guidance (CEIAG) services for young people in Scotland. Later phases of the research will use these criteria to identify appropriate techniques in the literature, and design and evaluate artefacts intended to meet these. This research will use an interdisciplinary approach to further understanding on the use and limitations of dialogue systems as intermediaries for information retrieval where there are a wide range of possible information tasks and specific users' needs may be ambiguous.

Citation

Wilson, M. (2023). Designing useful conversational interfaces for information retrieval in career decision-making support. In Advances in Information Retrieval: 45th European Conference on Information Retrieval, ECIR 2023, Dublin, Ireland, April 2–6, 2023, Proceedings, Part III (482-488). https://doi.org/10.1007/978-3-031-28241-6_56

• Conference Name: 45th European Conference on Information Retrieval (ECIR) 2023
• Conference Location: Dublin, Ireland
• Start Date: Apr 2, 2023
• End Date: Apr 6, 2023
• Acceptance Date: Jan 14, 2023
• Online Publication Date: Mar 16, 2023
• Publication Date: 2023
• Deposit Date: Mar 22, 2023
• Publicly Available Date: Mar 17, 2024
• Publisher: Springer
• Pages: 482-488
• Series Title: Lecture Notes in Computer Science
• Series Number: 13982
• Series ISSN: 0302-9743
• Book Title: Advances in Information Retrieval: 45th European Conference on Information Retrieval, ECIR 2023, Dublin, Ireland, April 2–6, 2023, Proceedings, Part III
• ISBN: 99783031282409
• DOI: https://doi.org/10.1007/978-3-031-28241-6_56
• Keywords: Conversational information retrieval, Applied NLP, Research-through-design, Social impact, Evaluation, Ethics