Comparing the Ideation Quality of Humans with Generative Artificial Intelligence

被引:8
|
作者
Joosten J. [1 ]
Bilgram V. [2 ]
Hahn A. [2 ]
Totzek D. [3 ]
机构
[1] Nuremberg Institute of Technology, BeLab-Behavioral Studies and User Experience Laboratory, Nuremberg
[2] Nuremberg Institute of Technology, Nuremberg
[3] University of Passau, Passau
来源
IEEE Engineering Management Review | 2024年 / 52卷 / 02期
关键词
AI-augmented innovation; artificial intelligence (AI); chatGPT; creativity; generative AI; idea generation; innovation; large language models (LLMs);
D O I
10.1109/EMR.2024.3353338
中图分类号
学科分类号
摘要
Traditionally, ideating new product innovations is primarily the responsibility of marketers, engineers, and designers. However, a rapidly growing interest lies in leveraging generative artificial intelligence (AI) to brainstorm new product and service ideas. This study conducts a comparative analysis of ideas generated by human professionals and an AI system. The results of a blind expert evaluation show that AI-generated ideas score significantly higher in novelty and customer benefit, while their feasibility scores are similar to those of human ideas. Overall, AI-generated ideas comprise the majority of the top-performing ideas, while human-generated ideas scored lower than expected. The executive's emotional and cognitive reactions were measured during the evaluation to check for potential biases and showed no differences between the idea groups. These findings suggest that, under certain circumstances, companies can benefit from integrating generative AI into their traditional idea-generation processes. © 1973-2011 IEEE.
引用
收藏
页码:153 / 164
页数:11
相关论文
共 50 条
  • [21] Artificial intelligence and project management: An empirical investigation on the appropriation of generative Chatbots by project managers
    Felicetti, Alberto Michele
    Cimino, Antonio
    Mazzoleni, Alberto
    Ammirato, Salvatore
    JOURNAL OF INNOVATION & KNOWLEDGE, 2024, 9 (03):
  • [22] On ChatGPT and beyond: How generative artificial intelligence may affect research, teaching, and practice
    Peres, Renana
    Schreier, Martin
    Schweidel, David
    Sorescu, Alina
    INTERNATIONAL JOURNAL OF RESEARCH IN MARKETING, 2023, 40 (02) : 269 - 275
  • [23] An artificial intelligence based data-driven approach for design ideation
    Chen, Liuqing
    Wang, Pan
    Dong, Hao
    Shi, Feng
    Han, Ji
    Guo, Yike
    Childs, Peter R. N.
    Xiao, Jun
    Wu, Chao
    JOURNAL OF VISUAL COMMUNICATION AND IMAGE REPRESENTATION, 2019, 61 : 10 - 22
  • [24] Students' use of generative artificial intelligence for proving mathematical statements
    Yoon, Hyunkyoung
    Hwang, Jihye
    Lee, Kyungwon
    Roh, Kyeong Hah
    Kwon, Oh Nam
    ZDM-MATHEMATICS EDUCATION, 2024, 56 (07): : 1531 - 1551
  • [25] Generative midtended cognition and Artificial Intelligence: thinging with thinging things
    Barandiaran, Xabier E.
    Perez-Verdugo, Marta
    SYNTHESE, 2025, 205 (04)
  • [26] Impacts of the Usage of Generative Artificial Intelligence on Software Development Process
    Santos, Patricia de Oliveira
    Chamon, Allan
    de Souza Moura, Pedro Nuno
    Diirr, Bruna
    de Faria Alvim, Adriana Cesario
    dos Santos, Rodrigo Pereira
    PROCEEDINGS OF THE 20TH BRAZILIAN SYMPOSIUM ON INFORMATIONS SYSTEMS, SBSI 2024, 2024,
  • [27] A Signal Processor Teaches Generative Artificial Intelligence [SP Education]
    Radke, Richard J.
    IEEE SIGNAL PROCESSING MAGAZINE, 2024, 41 (02) : 6 - 10
  • [28] AI and Case Management: From Artificial Intelligence to Generative Intelligence
    Powell, Suzanne K.
    PROFESSIONAL CASE MANAGEMENT, 2023, 28 (06) : 259 - 261
  • [29] Generative artificial intelligence (AI) tools in innovation management: a study on the appropriation of ChatGPT by innovation managers
    Cimino, Antonio
    Felicetti, Alberto Michele
    Corvello, Vincenzo
    Ndou, Valentina
    Longo, Francesco
    MANAGEMENT DECISION, 2024,
  • [30] Generative artificial intelligence and evaluating strategic decisions
    Doshi, Anil R.
    Bell, J. Jason
    Mirzayev, Emil
    Vanneste, Bart S.
    STRATEGIC MANAGEMENT JOURNAL, 2025, 46 (03) : 583 - 610