Fetching the paper…
Reading the bibliography…
Generating interdisciplinary research ideas requires diverse domain expertise, but access to timely feedback is often limited by the availability of experts.
Behavioral study of obedience
Stanley Milgram. 1963 · 1963
Earlier work this paper cites.
Intentional systems
Daniel C Dennett. 1971 · 1971
Earlier work this paper cites.
Role theory, cognitive dissonance theory, and the interdisciplinary team
Joseph L Braga. 1972 · 1972
Earlier work this paper cites.
he Intentional Stance
Daniel C Dennett. 1987 · 1987
Earlier work this paper cites.
Scientific discovery: Computational explorations of the creative processes
Pat Langley. 1987 · 1987
Earlier work this paper cites.
Dialogue theory for critical thinking
Douglas Walton. 1989 · 1989
Earlier work this paper cites.
Critical thinking: A statement of expert consensus for purposes of educational assessment and instruction (The Delphi Report)
Peter Facione. 1990 · 1990
Earlier work this paper cites.
Teaching critical thinking for transfer across domains: Disposition, skills, structure training, and metacognitive monitoring
Diane F Halpern. 1998 · 1998
Earlier work this paper cites.
From Guilford to creative synergy: Opening the black box of team-level creativity
Terri R Kurtzberg and Teresa M Amabile. 2001 · 2001
Earlier work this paper cites.
Critical thinking and science education
Sharon Bailin. 2002 · 2002
Earlier work this paper cites.
A nonlinear model of information-seeking behavior
Allen Foster. 2004 · 2004
Earlier work this paper cites.
Team creativity: A process model
Ralph CM Hanke. 2006 · 2006
Earlier work this paper cites.
What’s the difference? Diversity constructs as separation, variety, or disparity in organizations
David A Harrison and Katherine J Klein. 2007 · 2007
Earlier work this paper cites.
Scholarly information practices in the online environment
Carole L Palmer, Lauren C Teffeau, and Carrie M Pirmann. 2009 · 2009
Earlier work this paper cites.
Innovation tournaments: Creating and selecting exceptional opportunities
Christian Terwiesch and Karl T Ulrich. 2009 · 2009
Earlier work this paper cites.
Creative scientific problem finding and its developmental trend
Weiping Hu, Quan Zhen Shi, Qin Han, Xingqi Wang, and Philip Adey. 2010 · 2010
Earlier work this paper cites.
Creativity in science and science education: A response to Ghassib
Lynn D Newton. 2010 · 2010
Earlier work this paper cites.
The persona lifecycle: keeping people in mind throughout product design
John Pruitt and Tamara Adlin. 2010 · 2010
Earlier work this paper cites.
Can persona facilitate ideation? A comparative study on effects of personas in brainstorming. In Human-Computer Interaction–INTERACT 2011: 13th IFIP TC 13 International Conference, Lisbon, Portugal, September 5-9, 2011, Proceedings, Part IV 13 . Springer, 491–494
Xiantao Chen, Ying Liu, Ning Liu, and Xiaojie Wang. 2011 · 2011
Earlier work this paper cites.
About computing science research methodology
Renee Elio, Jim Hoover, Ioanis Nikolaidis, Mohammad Salavatipour, Lorna Stewart, and Ken Wong. 2011 · 2011
Earlier work this paper cites.
Critical thinking: What it is and why it counts
Peter A Facione et al · 2011
Earlier work this paper cites.
Collaborative fixation: Effects of others’ ideas on brainstorming
Nicholas W Kohn and Steven M Smith. 2011 · 2011
Earlier work this paper cites.
Opportunity spaces in innovation: Empirical analysis of large samples of ideas
Laura J Kornish and Karl T Ulrich. 2011 · 2011
Earlier work this paper cites.
Critical Thinking: A Literature Review Research Report
Emily R Lai, Michael Bay-Borelli, Robert Kirkpatrick, Anli Lin, and Changjiang Wang. 2011 · 2011
Earlier work this paper cites.
Transactive memory systems: Current issues and future research directions
Kyle Lewis and Benjamin Herndon. 2011 · 2011
Earlier work this paper cites.
Entering unfamiliar territory: Building an information literacy course for graduate students in interdisciplinary areas
Jill Newby. 2011 · 2011
Earlier work this paper cites.
Critical thinking: Conceptual clarification and its importance in science education
Rui Marques Vieira, Celina Tenreiro-Vieira, and Isabel P Martins. 2011 · 2011
Earlier work this paper cites.
‘Tell me what to do’vs.‘guide me through it’: Feedback experiences of international doctoral students
Ting Wang and Linda Y Li. 2011 · 2011
Earlier work this paper cites.
Thematic analysis
Virginia Braun and Victoria Clarke. 2012 · 2012
Earlier work this paper cites.
Fostering team creativity: perspective taking as key to unlocking diversity’s potential
Inga J Hoever, Daan Van Knippenberg, Wendy P Van Ginkel, and Harry G Barkema. 2012 · 2012
Earlier work this paper cites.
The Two Faces of Scientific Argumentation: Applications to Global Climate Change
E. Michael Nussbaum, Gale M. Sinatra, and Marissa C. Owens. 2012 · 2012
Earlier work this paper cites.
Creative Scientific Ability Test (C-SAT): A new measure of scientific creativity
Ugur Sak and M Bahadir Ayas. 2013 · 2013
Earlier work this paper cites.
It’s only a computer: the impact of human-agent interaction in clinical interviews. In Proceedings of the 2014 international conference on Autonomous agents and multi-agent systems . 85–92
Jonathan Gratch, Gale M Lucas, Aisha Aisha King, and Louis-Philippe Morency. 2014 · 2014
Earlier work this paper cites.
Automated hypothesis generation based on mining scientific literature. In Proceedings of the 20th ACM SIGKDD international conference on Knowledge discovery and data mining . 1877–1886
Scott Spangler, Angela D Wilkins, Benjamin J Bachman, Meena Nagarajan, Tajhal Dayaram, Peter Haas, Sam Regenbogen, Curtis R Pickering, Austin Comer, Jeffrey N Myers, et al · 2014
Earlier work this paper cites.
A general context-aware framework for improved human-system interactions
Stacy Lovell Pfautz, Gabriel Ganberg, Adam Fouse, and Nathan Schurr. 2015 · 2015
Earlier work this paper cites.
Toward collaborative ideation at scale: Leveraging ideas from others to generate more creative and diverse ideas. In Proceedings of the 18th ACM Conference on Computer Supported Cooperative Work & Social Computing . 937–945
Pao Siangliulue, Kenneth C Arnold, Krzysztof Z Gajos, and Steven P Dow. 2015 · 2015
Earlier work this paper cites.
The neuroscience of social conformity: Implications for fundamental and applied research
Mirre Stallen and Alan G Sanfey. 2015 · 2015
Earlier work this paper cites.
Estimating creativity with a multiple-measurement approach within scientific and artistic domains
Sergio Agnoli, Giovanni E Corazza, and Mark A Runco. 2016 · 2016
Earlier work this paper cites.
Product design and development
Karl T Ulrich and Steven D Eppinger. 2016 · 2016
Cited alongside, same era.
How people explain action (and autonomous intelligent systems should too). In 2017 AAAI Fall Symposium Series
Maartje MA De Graaf and Bertram F Malle. 2017 · 2017
Cited alongside, same era.
Accumulation of Content Validation Evidence for the Critical Thinking Self-Assessment Scale
Girija Gopinathan, Laurie-Ann M Hellsten, and Lynnette Leeseberg Stamler. 2017 · 2017
Cited alongside, same era.
A metatheoretical framework of diversity in teams
Margarita Mayo, Maria Kakarika, Charalampos Mainemelis, and Nicolas Till Deuschel. 2017 · 2017
Cited alongside, same era.
The role of critical thinking in science education
Luis Fernando Santos. 2017 · 2017
Cited alongside, same era.
Does a persona improve creativity?
Chaehan So and Jaewoo Joo. 2017 · 2017
Language models and cognitive automation for economic research
Anton Korinek. 2023 · 2023
Later among the works it cites.
Yuan Li, Yixuan Zhang, and Lichao Sun. 2023 · 2023
Later among the works it cites.
Towards human-AI-collaboration in brainstorming: Empirical insights into the perception of working with a generative AI
Lucas Memmert and Navid Tavanapour. 2023 · 2023
Later among the works it cites.
Generative agents: Interactive simulacra of human behavior. In Proceedings of the 36th annual acm symposium on user interface software and technology . 1–22
Joon Sung Park, Joseph O’Brien, Carrie Jun Cai, Meredith Ringel Morris, Percy Liang, and Michael S Bernstein. 2023 · 2023
Later among the works it cites.
Anglekindling: Supporting journalistic angle ideation with large language models. In Proceedings of the 2023 CHI conference on human factors in computing systems . 1–16
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Cited alongside, same era.
The anchoring-bias in groups
Tim RW de Wilde, Femke S Ten Velden, and Carsten KW De Dreu. 2018 · 2018
Cited alongside, same era.
Service design oriented multidisciplinary collaborative team care service model development for resolving drug related problems
Nayoung Han, Seung Hee Han, Hyuneun Chu, Jaehyun Kim, Ki Yon Rhew, Jeong-Hyun Yoon, Nam Kyung Je, Sandy Jeong Rhie, Eunhee Ji, Euni Lee, et al · 2018
Cited alongside, same era.
Analyzing the role of cognitive biases in the decision-making process
Verónica Juárez Ramos. 2018 · 2018
Cited alongside, same era.
What makes interdisciplinarity difficult? Some consequences of domain specificity in interdisciplinary practice
Miles MacLeod. 2018 · 2018
Cited alongside, same era.
Understanding autonomous peer feedback practices among postgraduate students: A case study in a Chinese university
Deliang Man, Yiqin Xu, and John Mitchell O’Toole. 2018 · 2018
Cited alongside, same era.
Persona perception scale: developing and validating an instrument for human-like representations of data. In Extended Abstracts of the 2018 CHI Conference on Human Factors in Computing Systems . 1–6
Joni Salminen, Haewoon Kwak, João M Santos, Soon-Gyo Jung, Jisun An, and Bernard J Jansen. 2018 · 2018
Cited alongside, same era.
Savvas Petridis, Nicholas Diakopoulos, Kevin Crowston, Mark Hansen, Keren Henderson, Stan Jastrzebski, Jeffrey V Nickerson, and Lydia B Chilton. 2023 · 2023
Later among the works it cites.
Towards understanding sycophancy in language models
Mrinank Sharma, Meg Tong, Tomasz Korbak, David Duvenaud, Amanda Askell, Samuel R Bowman, Newton Cheng, Esin Durmus, Zac Hatfield-Dodds, Scott R Johnston, et al · 2023
Later among the works it cites.
ConvXAI: Delivering heterogeneous AI explanations via conversations to support human-AI scientific writing. In Companion Publication of the 2023 Conference on Computer Supported Cooperative Work and Social Computing . 384–387
Hua Shen, Chieh-Yang Huang, Tongshuang Wu, and Ting-Hao Kenneth Huang. 2023 · 2023
Later among the works it cites.
Tpe: Towards better compositional reasoning over conceptual tools with multi-persona collaboration
Hongru Wang, Huimin Wang, Lingzhi Wang, Minda Hu, Rui Wang, Boyang Xue, Hongyuan Lu, Fei Mi, and Kam-Fai Wong. 2023d · 2023
Later among the works it cites.
Scimon: Scientific inspiration machines optimized for novelty
Qingyun Wang, Doug Downey, Heng Ji, and Tom Hope. 2023a · 2023
Later among the works it cites.
Zhenhailong Wang, Shaoguang Mao, Wenshan Wu, Tao Ge, Furu Wei, and Heng Ji. 2023c · 2023
Later among the works it cites.
Autogen: Enabling next-gen llm applications via multi-agent conversation framework
Qingyun Wu, Gagan Bansal, Jieyu Zhang, Yiran Wu, Shaokun Zhang, Erkang Zhu, Beibin Li, Li Jiang, Xiaoyun Zhang, and Chi Wang. 2023a · 2023
Later among the works it cites.
Expertprompting: Instructing large language models to be distinguished experts
Benfeng Xu, An Yang, Junyang Lin, Quan Wang, Chang Zhou, Yongdong Zhang, and Zhendong Mao. 2023 · 2023
Later among the works it cites.
Know Your Audience: The benefits and pitfalls of generating plain language summaries beyond the" general" audience. In Proceedings of the CHI Conference on Human Factors in Computing Systems . 1–26
Tal August, Kyle Lo, Noah A Smith, and Katharina Reinecke. 2024 · 2024
Closest in time.
Jinheon Baek, Sujay Kumar Jauhar, Silviu Cucerzan, and Sung Ju Hwang. 2024 · 2024
Closest in time.
Writer-defined AI personas for on-demand feedback generation. In Proceedings of the CHI Conference on Human Factors in Computing Systems . 1–18
Karim Benharrak, Tim Zindulka, Florian Lehmann, Hendrik Heuer, and Daniel Buschek. 2024 · 2024
Closest in time.
Jianlv Chen, Shitao Xiao, Peitian Zhang, Kun Luo, Defu Lian, and Zheng Liu. 2024 · 2024
Closest in time.
Enhancing AI-Assisted Group Decision Making through LLM-Powered Devil’s Advocate. In Proceedings of the 29th International Conference on Intelligent User Interfaces . 103–119
Chun-Wei Chiang, Zhuoran Lu, Zhuoyan Li, and Ming Yin. 2024 · 2024
Closest in time.
Proxona: Leveraging LLM-Driven Personas to Enhance Creators’ Understanding of Their Audience
Yoonseo Choi, Eun Jeong Kang, Seulgi Choi, Min Kyung Lee, and Juho Kim. 2024 · 2024
Closest in time.
Shaping Human-AI Collaboration: Varied Scaffolding Levels in Co-writing with Language Models. In Proceedings of the CHI Conference on Human Factors in Computing Systems . 1–18
Paramveer S Dhillon, Somayeh Molaei, Jiaqi Li, Maximilian Golub, Shaochun Zheng, and Lionel Peter Robert. 2024 · 2024
Closest in time.
Matthijs Douze, Alexandr Guzhva, Chengqi Deng, Jeff Johnson, Gergely Szilvasy, Pierre-Emmanuel Mazaré, Maria Lomeli, Lucas Hosseini, and Hervé Jégou. 2024 · 2024
Closest in time.
Alpacafarm: A simulation framework for methods that learn from human feedback
Yann Dubois, Chen Xuechen Li, Rohan Taori, Tianyi Zhang, Ishaan Gulrajani, Jimmy Ba, Carlos Guestrin, Percy S Liang, and Tatsunori B Hashimoto. 2024 · 2024
Closest in time.
Collaborative Canvas: A Tool for Exploring LLM Use in Group Ideation Tasks.. In IUI Workshops
Gabriel Enrique Gonzalez, Dario Andres Silva Moran, Stephanie Houde, Jessica He, Steven I Ross, Michael J Muller, Siya Kunde, and Justin D Weisz. 2024 · 2024
Closest in time.
Xuemei Gu and Mario Krenn. 2024 · 2024
Closest in time.
Exploring the Impact of AI Value Alignment in Collaborative Ideation: Effects on Perception, Ownership, and Output. In Extended Abstracts of the CHI Conference on Human Factors in Computing Systems . 1–11
Alicia Guo, Pat Pataranutaporn, and Pattie Maes. 2024 · 2024
Closest in time.
CloChat: Understanding How People Customize, Interact, and Experience Personas in Large Language Models. In Proceedings of the CHI Conference on Human Factors in Computing Systems . 1–24
Juhye Ha, Hyeon Jeon, Daeun Han, Jinwook Seo, and Changhoon Oh. 2024 · 2024
Closest in time.
Supermind Ideator: How Scaffolding Human-AI Collaboration Can Increase Creativity. In Proceedings of the ACM Collective Intelligence Conference . 18–28
Jennifer L Heyman, Steven R Rick, Gianni Giacomelli, Haoran Wen, Robert Laubacher, Nancy Taubenslag, Max Knicker, Younes Jeddi, Pranav Ragupathy, Jared Curhan, et al · 2024
Closest in time.
Supporting self-reflection at scale with large language models: Insights from randomized field experiments in classrooms. In Proceedings of the eleventh ACM conference on learning@ scale . 86–97
Harsh Kumar, Ruiwei Xiao, Benjamin Lawson, Ilya Musabirov, Jiakai Shi, Xinyuan Wang, Huayin Luo, Joseph Jay Williams, Anna N Rafferty, John Stamper, et al · 2024
Closest in time.
Soohwan Lee, Seoyeong Hwang, and Kyungho Lee. 2024 · 2024
Closest in time.
How ai processing delays foster creativity: Exploring research question co-creation with an llm-based agent. In Proceedings of the CHI Conference on Human Factors in Computing Systems . 1–25
Yiren Liu, Si Chen, Haocong Cheng, Mengxia Yu, Xiao Ran, Andrew Mo, Yiliu Tang, and Yun Huang. 2024 · 2024
Closest in time.
Clinfo. ai: An open-source retrieval-augmented large language model system for answering medical questions using scientific literature. In PACIFIC SYMPOSIUM ON BIOCOMPUTING 2024 . World Scientific, 8–23
Alejandro Lozano, Scott L Fleming, Chia-Chun Chiang, and Nigam Shah. 2023 · 2024
Closest in time.
Creativity Has Left the Chat: The Price of Debiasing Language Models
Behnam Mohammadi. 2024 · 2024
Closest in time.
Acceleron: A Tool to Accelerate Research Ideation
Harshit Nigam, Manasi Patwardhan, Lovekesh Vig, and Gautam Shroff. 2024 · 2024
Closest in time.
Chatdev: Communicative agents for software development. In Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) . 15174–15186
Chen Qian, Wei Liu, Hongzhang Liu, Nuo Chen, Yufan Dang, Jiahao Li, Cheng Yang, Weize Chen, Yusheng Su, Xin Cong, et al · 2024
Closest in time.
Randomness Is All You Need: Semantic Traversal of Problem-Solution Spaces with Large Language Models
Thomas Sandholm, Sayandev Mukherjee, and Bernardo A Huberman. 2024 · 2024
Closest in time.
AI-Augmented Brainwriting: Investigating the use of LLMs in group ideation. In Proceedings of the CHI Conference on Human Factors in Computing Systems . 1–17
Orit Shaer, Angelora Cooper, Osnat Mokryn, Andrew L Kun, and Hagit Ben Shoshan. 2024 · 2024
Closest in time.
DiscipLink: Unfolding Interdisciplinary Information Seeking Process via Human-AI Co-Exploration
Chengbo Zheng, Yuanhao Zhang, Zeyu Huang, Chuhan Shi, Minrui Xu, and Xiaojuan Ma. 2024 · 2024
Closest in time.
Can large language models transform computational social science?
Caleb Ziems, William Held, Omar Shaikh, Jiaao Chen, Zhehao Zhang, and Diyi Yang. 2024 · 2024
Closest in time.