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OK, DNA!: A Conversational Interface to Explore Genomic Data

Authors:

Stefano CeriAuthors Info & Claims

CUI '20: Proceedings of the 2nd Conference on Conversational User Interfaces

Article No.: 38, Pages 1 - 3

https://doi.org/10.1145/3405755.3406163

Published: 22 July 2020 Publication History

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Abstract

OK, DNA! is an intuitive conversational interface designed to assist biologists and clinicians, who generally have little computer science expertise, in retrieving data from genomic databases. Through this novel technology, complex bioinformatics queries are abstracted to a dialogue interface, that does not require any specific knowledge on querying languages. The power of OK, DNA! is that it exploits the conversation with two goals - as a guide to assist biologists and clinicians during the creation of the entire search process, and as a natural language interface to formulate queries on multiple heterogeneous genomic datasets.

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Cited By

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Reicherts LRogers YCapra LWood EDuong TSebire N(2022)It's Good to Talk: A Comparison of Using Voice Versus Screen-Based Interactions for Agent-Assisted TasksACM Transactions on Computer-Human Interaction10.1145/348422129:3(1-41)Online publication date: 14-Jan-2022
https://dl.acm.org/doi/10.1145/3484221
Pidò SCrovari PGarzotto F(2021)Modelling the bioinformatics tertiary analysis research processBMC Bioinformatics10.1186/s12859-021-04310-522:S13Online publication date: 30-Sep-2021
https://doi.org/10.1186/s12859-021-04310-5
Crovari PPidó SGarzotto FCeri S(2021)Show, Don’t Tell. Reflections on the Design of Multi-modal Conversational InterfacesChatbot Research and Design10.1007/978-3-030-68288-0_5(64-77)Online publication date: 3-Feb-2021
https://doi.org/10.1007/978-3-030-68288-0_5

Index Terms

OK, DNA!: A Conversational Interface to Explore Genomic Data
1. Applied computing
  1. Life and medical sciences
    1. Bioinformatics
2. Human-centered computing
  1. Human computer interaction (HCI)
    1. Interaction paradigms
      1. Natural language interfaces
      2. Web-based interaction

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Information

Published In

CUI '20: Proceedings of the 2nd Conference on Conversational User Interfaces

July 2020

271 pages

ISBN:9781450375443

DOI:10.1145/3405755

Conference Chairs:
María Inés Torres,
Stephan Schlögl,
Program Chairs:
Leigh Clark,
Martin Porcheron

Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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Association for Computing Machinery

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Published: 22 July 2020

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CUI '20

CUI '20: 2nd Conference on Conversational User Interfaces

July 22 - 24, 2020

Bilbao, Spain

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CUI '20 Paper Acceptance Rate 13 of 39 submissions, 33%;

Overall Acceptance Rate 34 of 100 submissions, 34%

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Reicherts LRogers YCapra LWood EDuong TSebire N(2022)It's Good to Talk: A Comparison of Using Voice Versus Screen-Based Interactions for Agent-Assisted TasksACM Transactions on Computer-Human Interaction10.1145/348422129:3(1-41)Online publication date: 14-Jan-2022
https://dl.acm.org/doi/10.1145/3484221
Pidò SCrovari PGarzotto F(2021)Modelling the bioinformatics tertiary analysis research processBMC Bioinformatics10.1186/s12859-021-04310-522:S13Online publication date: 30-Sep-2021
https://doi.org/10.1186/s12859-021-04310-5
Crovari PPidó SGarzotto FCeri S(2021)Show, Don’t Tell. Reflections on the Design of Multi-modal Conversational InterfacesChatbot Research and Design10.1007/978-3-030-68288-0_5(64-77)Online publication date: 3-Feb-2021
https://doi.org/10.1007/978-3-030-68288-0_5

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Genome-wide DNA-binding specificity of PIL5, an Arabidopsis basic Helix-Loop-Helix (bHLH) transcription factor

DNA Sequencing Technologies: Sequencing Data Protocols and Bioinformatics Tools

Generalizing and learning protein-DNA binding sequence representations by an evolutionary algorithm

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