extended-abstract

GenAICHI 2024: Generative AI and HCI at CHI 2024

Authors:

Michael Muller,

Anna Kantosalo,

Mary Lou Maher,

Charles Patrick Martin,

Greg WalshAuthors Info & Claims

CHI EA '24: Extended Abstracts of the CHI Conference on Human Factors in Computing Systems

Article No.: 470, Pages 1 - 7

https://doi.org/10.1145/3613905.3636294

Published: 11 May 2024 Publication History

Abstract

This workshop applies human centered themes to a new and powerful technology, generative artificial intelligence (AI), and - among other approaches - particularly to Large Language Models (LLMs) and Foundation Models (FMs). Unlike AI systems that produce decisions or descriptions, generative AI systems can produce new and creative content that can include images, texts, music, video, code, and other forms of design. The results are often similar to results produced by humans. However, it is not yet clear how humans make sense of generative AI algorithms or their outcomes. It is also not yet clear how humans can control and more generally, interact with, these powerful capabilities in ethical ways. Finally, it is not clear what kinds of collaboration patterns will emerge when creative humans and creative technologies work together.

Following successful workshops in 2022 and 2023, we convene the interdisciplinary research domain of generative AI and HCI. Participation in this invitational workshop is open to seasoned scholars and early career researchers. We solicit descriptions of completed projects, works-in-progress, and provocations. Together we will develop theories and practices in this intriguing new domain.

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Cited By

Khan HChetan VHukkeri SNeelima M(2025)Future of Productivity ManagementGenerative AI for Business Analytics and Strategic Decision Making in Service Industry10.4018/979-8-3693-7026-1.ch004(89-112)Online publication date: 7-Feb-2025
https://doi.org/10.4018/979-8-3693-7026-1.ch004
Borges JAraújo R(2024)Experiences and challenges of a redesign process with the support of an AI assistant on an educational platformProceedings of the XXIII Brazilian Symposium on Human Factors in Computing Systems10.1145/3702038.3702046(1-12)Online publication date: 7-Oct-2024
https://dl.acm.org/doi/10.1145/3702038.3702046

Index Terms

GenAICHI 2024: Generative AI and HCI at CHI 2024
1. Computing methodologies
  1. Artificial intelligence
2. Human-centered computing
  1. Human computer interaction (HCI)

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This workshop applies human centered themes to a new and powerful technology, generative artificial intelligence (AI). Unlike AI systems that produce decisions or descriptions, generative AI systems can produce new and creative content that can include ...
POMACS V8, N2, June 2024 Editorial
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CHI EA '24: Extended Abstracts of the CHI Conference on Human Factors in Computing Systems

May 2024

4761 pages

ISBN:9798400703317

DOI:10.1145/3613905

Editors:
Florian Floyd Mueller
Monash University
,
Penny Kyburz
The Australian National University
,
Julie R. Williamson
University of Glasgow
,
Corina Sas
Lancaster University

Copyright © 2024 Owner/Author.

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

New York, NY, United States

Publication History

Published: 11 May 2024

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Extended-abstract
Research
Refereed limited

Conference

CHI '24

Sponsor:

CHI '24: CHI Conference on Human Factors in Computing Systems

May 11 - 16, 2024

HI, Honolulu, USA

Acceptance Rates

Overall Acceptance Rate 6,164 of 23,696 submissions, 26%

Upcoming Conference

CHI 2025

Sponsor:
sigchi

ACM CHI Conference on Human Factors in Computing Systems

April 26 - May 1, 2025

Yokohama , Japan

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Cited By

Khan HChetan VHukkeri SNeelima M(2025)Future of Productivity ManagementGenerative AI for Business Analytics and Strategic Decision Making in Service Industry10.4018/979-8-3693-7026-1.ch004(89-112)Online publication date: 7-Feb-2025
https://doi.org/10.4018/979-8-3693-7026-1.ch004
Borges JAraújo R(2024)Experiences and challenges of a redesign process with the support of an AI assistant on an educational platformProceedings of the XXIII Brazilian Symposium on Human Factors in Computing Systems10.1145/3702038.3702046(1-12)Online publication date: 7-Oct-2024
https://dl.acm.org/doi/10.1145/3702038.3702046

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