Navigating the future of B2B marketing: The transformative impact of the industrial metaverse DOI Creative Commons
Boas Bamberger, Werner Reinartz, Wolfgang Ulaga

et al.

Journal of Business Research, Journal Year: 2024, Volume and Issue: 188, P. 115057 - 115057

Published: Nov. 22, 2024

Language: Английский

A Design Space for Intelligent and Interactive Writing Assistants DOI Creative Commons
Mina Lee, Katy Ilonka Gero, John Joon Young Chung

et al.

Published: May 11, 2024

In our era of rapid technological advancement, the research landscape for writing assistants has become increasingly fragmented across various communities. We seek to address this challenge by proposing a design space as structured way examine and explore multidimensional intelligent interactive assistants. Through large community collaboration, we five aspects assistants: task, user, technology, interaction, ecosystem. Within each aspect, define dimensions (i.e., fundamental components an aspect) codes potential options dimension) systematically reviewing 115 papers. Our aims offer researchers designers practical tool navigate, comprehend, compare possibilities assistants, aid in envisioning new

Language: Английский

Citations

17

Artificial Intelligence and the Internal Processes of Creativity DOI
Jaan Aru

The Journal of Creative Behavior, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 10, 2025

ABSTRACT Artificial intelligence (AI) systems capable of generating creative outputs are reshaping our understanding creativity. This shift presents an opportunity for creativity researchers to reevaluate the key components process. In particular, advanced capabilities AI underscore importance studying internal processes paper explores neurobiological machinery that underlies these and describes experiential component It is concluded although products artificial human can be similar, different. The also discusses how may negatively affect creativity, such as development skills, authenticity diversity ideas.

Language: Английский

Citations

2

The Crowdless Future? How Generative AI Is Shaping the Future of Human Crowdsourcing DOI
Léonard Boussioux, Jacqueline N. Lane, Miaomiao Zhang

et al.

SSRN Electronic Journal, Journal Year: 2023, Volume and Issue: unknown

Published: Jan. 1, 2023

This study investigates the capability of generative artificial intelligence (AI) in creating innovative business solutions compared to human crowdsourcing methods. We initiated a challenge focused on sustainable, circular economy opportunities. The attracted diverse range solvers from myriad countries and industries. Simultaneously, we employed GPT-4 generate AI using three different prompt levels, each calibrated simulate distinct crowd expert personas. 145 evaluators assessed randomized selection 10 out 234 solutions, total 1,885 evaluator-solution pairs. Results showed comparable quality between AI-generated solutions. However, ideas were perceived as more novel, whereas delivered better environmental financial value. use natural language processing techniques rich solution text show that although cover similar industries application, exhibit greater semantic diversity. connection diversity novelty is stronger suggesting differences how created by humans or detected evaluators. illuminates potential limitations both solve complex organizational problems sets groundwork for possible integrative human-AI approach problem-solving.

Language: Английский

Citations

21

One Does Not Simply Meme Alone: Evaluating Co-Creativity Between LLMs and Humans in the Generation of Humor DOI

Z. Wu,

Thomas Weber, Florian Müller

et al.

Published: March 19, 2025

Collaboration has been shown to enhance creativity, leading more innovative and effective outcomes. While previous research explored the abilities of Large Language Models (LLMs) serve as co-creative partners in tasks like writing poetry or creating narratives, collaborative potential LLMs humor-rich culturally nuanced domains remains an open question. To address this gap, we conducted a user study explore co-creating memes - humor-driven specific form creative expression. We with three groups 50 participants each: human-only group without AI assistance, human-AI collaboration interacting state-of-the-art LLM model, AI-only where autonomously generated memes. assessed quality through crowdsourcing, each meme rated on humor, shareability. Our results showed that assistance increased number ideas reduced effort felt. However, it did not improve when humans collaborated LLM. Interestingly, created entirely by performed better than both all areas average. looking at top-performing memes, human-created ones were while collaborations stood out creativity These findings highlight complexities tasks. can boost productivity create content appeals broad audience, human crucial for connects deeper level.

Language: Английский

Citations

0

Technological Self-Efficacy and Sense of Coherence: Key Drivers in Teachers' AI Acceptance and Adoption DOI Creative Commons
Asmahan Masry-Herzallah,

Rania Makaldy

Computers and Education Artificial Intelligence, Journal Year: 2025, Volume and Issue: unknown, P. 100377 - 100377

Published: Feb. 1, 2025

Language: Английский

Citations

0

Peeping at creAItivity through 615 keyholes: Creative self-perceptions, potential, and enhancement of GenAI chatbots DOI
Dimitris Grammenos, Todd Lubart

Research Square (Research Square), Journal Year: 2025, Volume and Issue: unknown

Published: April 14, 2025

Abstract The work in this paper investigates (a) the (emerging) creative self-perceptions of GenAI chatbots, (b) their potential, (c) ability to self-assess creativity own outcomes and that peers, (d) how can be improved. To end, an exploratory study was implemented involving three popular commercial chatbots: ChatGPT (GPT-4o - paid) by OpenAI, Claude (3.5 Sonnet Anthropic Gemini (1.5 Flash free) Google. included four phases employed well-established methods tools from scientific domain (human) research, including Short Scale Creative Self (SSCS) questionnaire, a verbal test convergent-integrative thought Evaluation Potential Creativity (EPoC) battery which scored chatbots human experts, Dynamic Assessment (DA) approach humor as means for enhancing chatbots’ outcomes. results are encapsulated 21 original and, sometimes, surprising observations.

Language: Английский

Citations

0

Endless forms most similar: the death of the author in AI-supported art DOI
Max Kreminski

AI & Society, Journal Year: 2025, Volume and Issue: unknown

Published: April 18, 2025

Language: Английский

Citations

0

Co-creating Music with Machines: Some Possibilities DOI

Shelly Knotts,

Iván Paz

Published: Jan. 1, 2025

Language: Английский

Citations

0

Forage: Understanding RAG-based Sensemaking for Community Conversations DOI
Hope Schroeder, Doug Beeferman, Maya Detwiller

et al.

Published: April 23, 2025

Language: Английский

Citations

0

Scaling Analysis of Creative Activity Traces via Fuzzy Linkography DOI
Amy Smith, Barrett R. Anderson, Jasmine Tan Otto

et al.

Published: April 23, 2025

Language: Английский

Citations

0