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REVIEW 2 major objections 2 minor 75 references

Co-Disclosing the Computer: LLM-Mediated Computing through Reflective Conversation

T0 review · 2 major / 2 minor · reviewed 2026-05-15 · grok-4.3

Pith's one-line read LLM-mediated computing lets interaction emerge in real time through human intent and model interpretation instead of fixed applications.

desk verdict The paper introduces a conceptual framing for LLM-mediated computing through reflective conversation and co-disclosure but stays high-level without mechanisms or evidence for handling intent ambiguity or state consistency. read the letter →

arxiv 2604.09586 v1 submitted 2026-02-27 cs.HC

classification cs.HC
keywords LLM-mediatedcomputingreflectiveconversationco-disclosurepostphenomenologyhuman-computerinteractiondynamicsoftwareintent-based
verification ladder T0 review T1 audit T2 compute T3 formal

The pith

A machine-rendered reading of the paper's core claim, the machinery that carries it, and where it could break.

The reading

This conceptual paper introduces LLM-mediated computing as a paradigm shift where computer functionality is no longer locked into static applications but arises dynamically as humans converse with large language models. The authors frame this through the metaphor of reflective conversation to guide how such systems should be designed and experienced. They draw on postphenomenology to analyze the resulting human-LLM-computer relations and propose co-disclosure as the mechanism by which the computer's capabilities become available only in the moment of use. A sympathetic reader would care because this view dissolves the traditional boundary between user goals and software tools, suggesting that computing itself is reconstituted on the fly rather than selected from a menu of prebuilt programs.

What carries the argument

The reflective conversation metaphor, which treats ongoing dialogue as the process that discloses and assembles computing capabilities dynamically.

What would settle it

Repeated trials in which users state open-ended intents and the resulting LLM-mediated system produces non-functional or inconsistent computing behavior more often than not.

Watch

Extended reading notes

Core claim

LLM-mediated computing constitutes a new mode of interaction in which the computer is co-disclosed through reflective conversation: human intent and LLM interpretation together generate functionality in real time without dependence on fixed application structures, analyzed via a postphenomenological lens.

Load-bearing premise

LLMs can consistently and reliably interpret open-ended human intent to dynamically constitute computing functionality without fixed structures.

Editorial extensions

If this is right

  • Traditional application boundaries dissolve as tasks are assembled on demand from conversational turns.
  • Design work shifts from crafting fixed interfaces to shaping patterns of intent expression and interpretation.
  • Postphenomenological analysis becomes a practical tool for examining how human relations to technology change when the computer is no longer a stable object.
  • Co-disclosure replaces the idea of a fully pre-specified computer, making functionality available only through use.

Reading between the lines

Editorial extensions of the paper, not claims the author makes directly.

  • Users may need to cultivate new habits of precise yet flexible intent phrasing to make the system reliable.
  • Software development could move from building complete apps to curating or steering LLM interpretation layers.
  • Hybrid approaches that retain minimal fixed scaffolds might emerge to handle cases where pure conversational emergence proves unstable.
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Signed reviews

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Editorial analysis

A structured set of objections, weighed in public.

Desk editor's note, referee report, simulated authors' rebuttal, and a circularity audit.

Referee Report

2 major / 2 minor

Summary. This conceptual paper introduces LLM-mediated computing as a paradigm in which interaction emerges in real-time through human intent and LLM interpretation rather than fixed applications. It contributes (1) a reflective conversation metaphor for design, (2) a postphenomenological analysis of the human-LLM-computer relation, and (3) a co-disclosure mode in which the computer is constituted in use.

Significance. If the interpretive framework holds, the work could usefully extend postphenomenology into generative-AI contexts and supply a design metaphor for intent-driven systems. Its purely conceptual character, however, means significance hinges on whether future empirical or technical work can operationalize the unexamined assumptions about LLM reliability in open-ended interaction.

major comments (2)
  1. [Abstract] Abstract: the central claim that interaction 'emerges in real-time through human intent and LLM interpretation' without fixed applications is load-bearing for the entire paradigm, yet the manuscript provides no account of state maintenance, ambiguity resolution, or error recovery across turns; this leaves the proposal dependent on an unexamined reliability assumption.
  2. [Contributions] Section on contributions (reflective conversation and co-disclosure): the three listed contributions are presented as jointly defining a new mode of computing, but the postphenomenological lens and co-disclosure remain interpretive extensions of prior literature without concrete mechanisms, examples, or falsifiable implications that would allow the paradigm to be distinguished from existing conversational interfaces.
minor comments (2)
  1. [Abstract] The abstract and introduction could more explicitly differentiate LLM-mediated computing from current LLM-augmented tools (e.g., code generators or chat-based IDEs) to sharpen the novelty claim.
  2. Notation for key terms such as 'reflective conversation' and 'co-disclosure' is introduced without a dedicated glossary or consistent cross-referencing, which may hinder readers unfamiliar with the cited postphenomenology literature.

Simulated Author's Rebuttal

2 responses · 0 unresolved

We thank the referee for the detailed and constructive comments. Our responses address each major point directly, with revisions planned where the feedback identifies gaps in the current conceptual framing.

read point-by-point responses
  1. Referee: [Abstract] the central claim that interaction 'emerges in real-time through human intent and LLM interpretation' without fixed applications is load-bearing for the entire paradigm, yet the manuscript provides no account of state maintenance, ambiguity resolution, or error recovery across turns; this leaves the proposal dependent on an unexamined reliability assumption.

    Authors: We agree that the manuscript, being conceptual, does not supply technical mechanisms for state maintenance, ambiguity resolution, or error recovery. These elements are intentionally left as open questions for subsequent implementation work. In revision we will add an explicit subsection under 'Limitations and Open Challenges' that states the reliability assumptions about current LLMs and enumerates the missing operational details as necessary future research. revision: yes

  2. Referee: [Contributions] the three listed contributions are presented as jointly defining a new mode of computing, but the postphenomenological lens and co-disclosure remain interpretive extensions of prior literature without concrete mechanisms, examples, or falsifiable implications that would allow the paradigm to be distinguished from existing conversational interfaces.

    Authors: The contributions are framed as interpretive and metaphorical precisely because the paper's purpose is to supply a new lens rather than an implemented system. To address the request for distinction, we will expand the 'Reflective Conversation' section with two brief, real-world LLM interaction vignettes that highlight how co-disclosure differs from turn-based chat. We will also add a short paragraph outlining potential falsifiable implications (e.g., measurable changes in user sense of agency) for future empirical studies. No new empirical data will be added, as that lies outside the paper's conceptual scope. revision: partial

Circularity Check

0 steps flagged · score 0.0 of 10

No significant circularity; conceptual definition of LLM-mediated computing extends external postphenomenology literature

full rationale

The paper introduces LLM-mediated computing as a new paradigm defined by real-time emergence through human intent and LLM interpretation, using the lens of postphenomenology and proposing co-disclosure. This is a definitional and metaphorical contribution rather than a derivation chain. No equations, fitted parameters, or predictions are present. The central framing draws on cited external literature without reducing to self-citation load-bearing steps or self-definitional loops. The derivation remains self-contained as a conceptual reframing, consistent with the reader's low circularity assessment.

Assumptions & free parameters 0 free parameters · 1 assumptions · 2 invented entities

The paper rests on philosophical assumptions from postphenomenology and introduces new conceptual entities without independent empirical or formal support.

assumptions (1)
  • domain assumption Postphenomenology provides an appropriate lens for analyzing human-LLM-computer relations
    Invoked to understand the mediation relation in the proposed paradigm.
invented entities (2)
  • LLM-mediated computing
    purpose: New paradigm replacing fixed-application interaction
    Introduced as the core contribution; no independent evidence or falsifiable prediction supplied.
  • reflective conversation
    purpose: Interaction metaphor to guide design
    New metaphor proposed; no external validation or prior use cited.

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Cite this review

Pith. "Pith review of Co-Disclosing the Computer: LLM-Mediated Computing through Reflective Conversation." pith.science (2026). https://pith.science/paper/2604.09586

@misc{pith2026260409586,
  author       = {Pith},
  title        = {Pith review of: Co-Disclosing the Computer: LLM-Mediated Computing through Reflective Conversation},
  year         = {2026},
  howpublished = {\url{https://pith.science/paper/2604.09586}},
  note         = {Machine review of arXiv:2604.09586}
}
read the original abstract

Large language models (LLMs) are changing how we interact with computers. As they become capable of generating software dynamically, they invite a fundamental rethinking of the computer's role in human activity. In this conceptual paper, we introduce LLM-mediated computing: a paradigm in which interaction is no longer structured around fixed applications, but emerges in real-time through human intent and LLM interpretation. We make three contributions: (1) we articulate a new interaction metaphor of reflective conversation to guide future design, (2) we use the lens of postphenomenology to understand the human-LLM-computer relation, and (3) we propose a new mode of computing based on co-disclosure, in which the computer is constituted in use. Together, they define a new mode of computing, provide a lens to analyze it, and offer a metaphor to design with.

Discussion (0). Continue with ORCID to comment.

Lean theorems connected to this paper

Citations machine-checked in the Pith Canon. Every link opens the source theorem in the public Lean library.

  • IndisputableMonolith/Foundation/RealityFromDistinction.lean reality_from_one_distinction unclear
    ?
    unclear

    Relation between the paper passage and the cited Recognition theorem.

    we introduce LLM-mediated computing: a paradigm in which interaction is no longer structured around fixed applications, but emerges in real-time through human intent and LLM interpretation... new mode of computing based on co-disclosure, in which the computer is constituted in use

  • IndisputableMonolith/Cost/FunctionalEquation.lean washburn_uniqueness_aczel unclear
    ?
    unclear

    Relation between the paper passage and the cited Recognition theorem.

    reflective conversation... cycles of seeing–moving–seeing... backtalk... reframing

What do these tags mean?
matches
The paper's claim is directly supported by a theorem in the formal canon.
supports
The theorem supports part of the paper's argument, but the paper may add assumptions or extra steps.
extends
The paper goes beyond the formal theorem; the theorem is a base layer rather than the whole result.
uses
The paper appears to rely on the theorem as machinery.
contradicts
The paper's claim conflicts with a theorem or certificate in the canon.
unclear
Pith found a possible connection, but the passage is too broad, indirect, or ambiguous to say the theorem truly supports the claim.

Reference graph

Works this paper leans on

75 extracted references · 75 canonical work pages

  1. [1]

    Philip E. Agre. 1994. Surveillance and Capture: Two Models of Privacy.The In- formation Society10, 2 (April 1994), 101–127. doi:10.1080/01972243.1994.9960162

  2. [2]

    A Translational Science Model for HCI

    Saleema Amershi, Dan Weld, Mihaela Vorvoreanu, Adam Fourney, Besmira Nushi, Penny Collisson, Jina Suh, Shamsi Iqbal, Paul N. Bennett, Kori Inkpen, Jaime Teevan, Ruth Kikin-Gil, and Eric Horvitz. 2019. Guidelines for Human- AI Interaction. InProceedings of the 2019 CHI Conference on Human Factors in Computing Systems (CHI ’19). Association for Computing Ma...

  3. [3]

    Comparing effectiveness and engagement of data comics and infographics

    Zahra Ashktorab, Mohit Jain, Q. Vera Liao, and Justin D. Weisz. 2019. Resilient Chatbots: Repair Strategy Preferences for Conversational Breakdowns. InPro- ceedings of the 2019 CHI Conference on Human Factors in Computing Systems (CHI ’19). Association for Computing Machinery, New York, NY, USA, 1–12. doi:10.1145/3290605.3300484

  4. [4]

    2015.Humanistic HCI

    Jeffrey Bardzell and Shaowen Bardzell. 2015.Humanistic HCI. Springer Interna- tional Publishing, Cham. doi:10.1007/978-3-031-02214-2

  5. [5]

    Michel Beaudouin-Lafon. 2000. Instrumental Interaction: An Interaction Model for Designing Post-WIMP User Interfaces. InProceedings of the SIGCHI Conference on Human Factors in Computing Systems (CHI ’00). Association for Computing Machinery, New York, NY, USA, 446–453. doi:10.1145/332040.332473

  6. [6]

    Proceedings of the 2021

    Emily M. Bender, Timnit Gebru, Angelina McMillan-Major, and Margaret Mitchell. 2021. On the Dangers of Stochastic Parrots: Can Language Models Be Too Big?. InProceedings of the 2021 ACM Conference on Fairness, Accountability, and Transparency (FAccT ’21). Association for Computing Machinery, New York, NY, USA, 610–623. doi:10.1145/3442188.3445922

  7. [7]

    2019.Race After Technology: Abolitionist Tools for the New Jim Code

    Ruha Benjamin. 2019.Race After Technology: Abolitionist Tools for the New Jim Code. John Wiley & Sons

  8. [8]

    Abeba Birhane. 2021. Algorithmic Injustice: A Relational Ethics Approach. Patterns2, 2 (Feb. 2021), 100205. doi:10.1016/j.patter.2021.100205

Show all 75 references
  1. [9]

    Susanne Bødker. 2006. When Second Wave HCI Meets Third Wave Challenges. In Proceedings of the 4th Nordic Conference on Human-computer Interaction: Changing Roles (NordiCHI ’06). Association for Computing Machinery, New York, NY, USA, 1–8. doi:10.1145/1182475.1182476

  2. [10]

    Bowker and Susan Leigh Star

    Geoffrey C. Bowker and Susan Leigh Star. 2000.Sorting Things Out: Classification and Its Consequences. MIT Press, Cambridge, MA, USA

  3. [11]

    Jennie Carroll. 2004. Completing Design in Use: Closing the Appropriation Cycle. ECIS 2004 Proceedings(Jan. 2004)

  4. [12]

    Mark Chen, Jerry Tworek, Heewoo Jun, Qiming Yuan, Henrique Ponde de Oliveira Pinto, Jared Kaplan, Harri Edwards, Yuri Burda, Nicholas Joseph, Greg Brockman, Alex Ray, Raul Puri, Gretchen Krueger, Michael Petrov, Heidy Khlaaf, Girish Sastry, Pamela Mishkin, Brooke Chan, Scott G...

  5. [13]

    Ravi Chugh, Brian Hempel, Mitchell Spradlin, and Jacob Albers. 2016. Pro- grammatic and Direct Manipulation, Together at Last. InProceedings of the 37th ACM SIGPLAN Conference on Programming Language Design and Implementation (PLDI ’16). Association for Computing Machinery, Ne...

  6. [14]

    Clark and Susan E

    Herbert H. Clark and Susan E. Brennan. 1991. Grounding in Communication. In Perspectives on Socially Shared Cognition., Lauren B. Resnick, John M. Levine, and Stephanie D. Teasley (Eds.). American Psychological Association, Washington, 127–149. doi:10.1037/10096-006

  7. [15]

    2020.AI Ethics

    Mark Coeckelbergh. 2020.AI Ethics. MIT Press

  8. [16]

    2021.The Atlas of AI: Power, Politics, and the Planetary Costs of Artificial Intelligence

    Kate Crawford. 2021.The Atlas of AI: Power, Politics, and the Planetary Costs of Artificial Intelligence. Yale University Press

  9. [17]

    Halbert, David Kurlander, Henry Lieberman, David Maulsby, Brad A

    Allen Cypher, Daniel C. Halbert, David Kurlander, Henry Lieberman, David Maulsby, Brad A. Myers, and Alan Turransky (Eds.). 1993.Watch What I Do: Programming by Demonstration. MIT Press, Cambridge, MA, USA

  10. [18]

    Bas de Boer. 2021. Explaining Multistability: Postphenomenology and Affor- dances of Technologies.AI Soc.38, 6 (Sept. 2021), 2267–2277. doi:10.1007/s00146- 021-01272-3

  11. [19]

    2001.Where the Action Is: The Foundations of Embodied Interaction

    Paul Dourish. 2001.Where the Action Is: The Foundations of Embodied Interaction. The MIT Press. doi:10.7551/mitpress/7221.001.0001

  12. [20]

    2013.Speculative Everything: Design, Fiction, and Social Dreaming

    Anthony Dunne and Fiona Raby. 2013.Speculative Everything: Design, Fiction, and Social Dreaming. MIT Press

  13. [21]

    Thomas Erickson. 1990. Working with Interface Metaphors. InThe Art of Human Computer Interface Design, B Laurel (Ed.). Addison-Wesley, 65–73

  14. [22]

    Gerhard Fischer and Elisa Giaccardi. 2006. Meta-Design: A Framework for the Future of End-User Development. InEnd User Development, Henry Lieberman, Fabio Paternò, and Volker Wulf (Eds.). Springer Netherlands, Dordrecht, 427–457. doi:10.1007/1-4020-5386-X_19

  15. [23]

    Fischer, Stuart Reeves, Martin Porcheron, and Rein Ove Sikveland

    Joel E. Fischer, Stuart Reeves, Martin Porcheron, and Rein Ove Sikveland. 2019. Progressivity for Voice Interface Design. InProceedings of the 1st International Conference on Conversational User Interfaces (CUI ’19). Association for Computing Machinery, New York, NY, USA, 1–8....

  16. [24]

    Christopher Frauenberger. 2019. Entanglement HCI The Next Wave?ACM Trans. Comput.-Hum. Interact.27, 1 (Nov. 2019), 2:1–2:27. doi:10.1145/3364998

  17. [25]

    2013.Truth and Method

    Hans-Georg Gadamer. 2013.Truth and Method. A&C Black

  18. [26]

    Gaver, Jacob Beaver, and Steve Benford

    William W. Gaver, Jacob Beaver, and Steve Benford. 2003. Ambiguity as a Resource for Design. InProceedings of the SIGCHI Conference on Human Factors in Computing Systems (CHI ’03). Association for Computing Machinery, New York, NY, USA, 233–240. doi:10.1145/642611.642653

  19. [27]

    Katrin Glinka and Claudia Müller-Birn. 2023. Critical-Reflective Human-AI Collaboration: Exploring Computational Tools for Art Historical Image Retrieval. Proc. ACM Hum.-Comput. Interact.7, CSCW2 (Oct. 2023), 263:1–263:33. doi:10. 1145/3610054

  20. [28]

    2007.The Three Paradigms of HCI

    Steve Harrison, Deborah Tatar, and Phoebe Sengers. 2007.The Three Paradigms of HCI. Alt. Chi. Session at the SIGCHI Conference on Human Factors in Computing Systems San Jose, California, USA

  21. [29]

    James Hollan, Edwin Hutchins, and David Kirsh. 2000. Distributed Cognition: Toward a New Foundation for Human-Computer Interaction Research.ACM Trans. Comput.-Hum. Interact.7, 2 (June 2000), 174–196. doi:10.1145/353485. Mattias Rost 353487

  22. [30]

    Eric Horvitz. 1999. Principles of Mixed-Initiative User Interfaces. InProceedings of the SIGCHI Conference on Human Factors in Computing Systems (CHI ’99). Association for Computing Machinery, New York, NY, USA, 159–166. doi:10. 1145/302979.303030

  23. [31]

    1990.Technology and the Lifeworld: From Garden to Earth

    Don Ihde. 1990.Technology and the Lifeworld: From Garden to Earth. Indiana University Press

  24. [32]

    Jacob, Audrey Girouard, Leanne M

    Robert J.K. Jacob, Audrey Girouard, Leanne M. Hirshfield, Michael S. Horn, Orit Shaer, Erin Treacy Solovey, and Jamie Zigelbaum. 2008. Reality-Based Interaction: A Framework for Post-WIMP Interfaces. InProceedings of the SIGCHI Conference on Human Factors in Computing Systems ...

  25. [33]

    Johnson, T.L

    J. Johnson, T.L. Roberts, W. Verplank, D.C. Smith, C.H. Irby, M. Beard, and K. Mackey. 1989. The Xerox Star: A Retrospective.Computer22, 9 (Sept. 1989), 11–26. doi:10.1109/2.35211

  26. [34]

    Martin Jonsson, Jakob Tholander, Mattias Rost, Advait Sarkar, Ylva Fernaeus, Ahmed Kharrufa, and Thomas Ludwig. 2025. The End of Programming as We Know It: Envisioning Radical Re-Conceptualizations of Co-Coding with AI. In Adjunct Proceedings of the Sixth Decennial Aarhus Conf...

  27. [35]

    Alan C. Kay. 1993. The Early History of Smalltalk.SIGPLAN Not.28, 3 (March 1993), 69–95. doi:10.1145/155360.155364

  28. [36]

    Amy J. Ko, Robin Abraham, Laura Beckwith, Alan Blackwell, Margaret Burnett, Martin Erwig, Chris Scaffidi, Joseph Lawrance, Henry Lieberman, Brad Myers, Mary Beth Rosson, Gregg Rothermel, Mary Shaw, and Susan Wiedenbeck. 2011. The State of the Art in End-User Software Engineeri...

  29. [37]

    Alina Krischkowsky, Bernhard Maurer, and Manfred Tscheligi. 2016. Captology and Technology Appropriation: Unintended Use as a Source for Designing Per- suasive Technologies. InPersuasive Technology, Alexander Meschtscherjakov, Boris De Ruyter, Verena Fuchsberger, Martin Murer,...

  30. [38]

    Olya Kudina and Peter-Paul Verbeek. 2019. Ethics from Within: Google Glass, the Collingridge Dilemma, and the Mediated Value of Privacy.Science, Technology, & Human Values44, 2 (March 2019), 291–314. doi:10.1177/0162243918793711

  31. [39]

    Kari Kuutti and Liam J. Bannon. 2014. The Turn to Practice in HCI: Towards a Research Agenda. InProceedings of the SIGCHI Conference on Human Factors in Computing Systems (CHI ’14). Association for Computing Machinery, New York, NY, USA, 3543–3552. doi:10.1145/2556288.2557111

  32. [40]

    2003.Metaphors We Live By

    George Lakoff and Mark Johnson. 2003.Metaphors We Live By. University of Chicago Press, Chicago, IL

  33. [41]

    Liang, Melissa Lin, Nikitha Rao, and Brad A

    Jenny T. Liang, Melissa Lin, Nikitha Rao, and Brad A. Myers. 2025. Prompts Are Programs Too! Understanding How Developers Build Software Containing Prompts.Proc. ACM Softw. Eng.2, FSE (June 2025), FSE072:1591–FSE072:1614. doi:10.1145/3729342

  34. [42]

    Vera Liao, Daniel Gruen, and Sarah Miller

    Q. Vera Liao, Daniel Gruen, and Sarah Miller. 2020. Questioning the AI: Informing Design Practices for Explainable AI User Experiences. InProceedings of the 2020 CHI Conference on Human Factors in Computing Systems (CHI ’20). Association for Computing Machinery, New York, NY, ...

  35. [44]

    2006.End User Development

    Henry Lieberman, Fabio Paternò, and Volker Wulf. 2006.End User Development. Springer Science & Business Media

  36. [45]

    Sean McDirmid. 2007. Living It up with a Live Programming Language.SIGPLAN Not.42, 10 (Oct. 2007), 623–638. doi:10.1145/1297105.1297073

  37. [46]

    Annemarie Mol. 1999. Ontological Politics. A Word and Some Questions.The Sociological Review47, 1_suppl (May 1999), 74–89. doi:10.1111/j.1467-954X.1999. tb03483.x

  38. [47]

    Bonnie A. Nardi. 1993.A Small Matter of Programming: Perspectives on End User Computing. MIT Press

  39. [48]

    Jakob Nielsen. [n. d.]. AI: First New UI Paradigm in 60 Years. https://www.nngroup.com/articles/ai-paradigm/

  40. [49]

    2018.Algorithms of Oppression: How Search Engines Reinforce Racism

    Safiya Umoja Noble. 2018.Algorithms of Oppression: How Search Engines Reinforce Racism. NYU Press. jstor:j.ctt1pwt9w5 doi:10.2307/j.ctt1pwt9w5

  41. [51]

    Seymour A. Papert. 2020.Mindstorms: Children, Computers, And Powerful Ideas. Hachette UK

  42. [52]

    Dominik Pins, Timo Jakobi, Alexander Boden, Fatemeh Alizadeh, and Volker Wulf. 2021. Alexa, We Need to Talk: A Data Literacy Approach on Voice Assis- tants. InProceedings of the 2021 ACM Designing Interactive Systems Conference (DIS ’21). Association for Computing Machinery, N...

  43. [53]

    Fischer, Stuart Reeves, and Sarah Sharples

    Martin Porcheron, Joel E. Fischer, Stuart Reeves, and Sarah Sharples. 2018. Voice Interfaces in Everyday Life. InProceedings of the 2018 CHI Conference on Human Factors in Computing Systems (CHI ’18). Association for Computing Machinery, New York, NY, USA, 1–12. doi:10.1145/31...

  44. [54]

    Forough Poursabzi-Sangdeh, Daniel G Goldstein, Jake M Hofman, Jennifer Wort- man Vaughan, and Hanna Wallach. 2021. Manipulating and Measuring Model Interpretability. InProceedings of the 2021 CHI Conference on Human Factors in Computing Systems (CHI ’21). Association for Compu...

  45. [55]

    Stuart Reeves, Martin Porcheron, and Joel Fischer. 2018. ’This Is Not What We Wanted’: Designing for Conversation with Voice Interfaces.interactions26, 1 (Dec. 2018), 46–51. doi:10.1145/3296699

  46. [56]

    Mattias Rost. 2025. Reclaiming the Computer through LLM-Mediated Computing. ACM Interactions32, 5 (Aug. 2025), 26–31. doi:10.1145/3747585

  47. [57]

    Harvey Sacks, Emanuel Schegloff, and Gail Jefferson. 1974. A Simple Systematic for the Organisation of Turn Taking in Conversation.Language50 (Dec. 1974), 696–735. doi:10.2307/412243

  48. [58]

    Antti Salovaara, Sacha Helfenstein, and Antti Oulasvirta. 2011. Everyday Ap- propriations of Information Technology: A Study of Creative Uses of Digital Cameras.Journal of the American Society for Information Science and Technology 62, 12 (2011), 2347–2363. doi:10.1002/asi.21643

  49. [59]

    Antti Salovaara and Sakari Tamminen. 2009. Acceptance or Appropriation? A Design-Oriented Critique of Technology Acceptance Models. InFuture Interaction Design II, Hannakaisa Isomäki and Pertti Saariluoma (Eds.). Springer, London, 157–173. doi:10.1007/978-1-84800-385-9_8

  50. [60]

    Emanuel Schegloff, Gail Jefferson, and Harvey Sacks. 1977. The Preference for Self-Correction in the Organization of Repair in Conversation.Language53 (June 1977), 361–382. doi:10.2307/413107

  51. [61]

    Timo Schick, Jane Dwivedi-Yu, Roberto Dessì, Roberta Raileanu, Maria Lomeli, Luke Zettlemoyer, Nicola Cancedda, and Thomas Scialom. 2023. Toolformer: Language Models Can Teach Themselves to Use Tools. arXiv:2302.04761 [cs] doi:10.48550/arXiv.2302.04761

  52. [62]

    Donald A. Schon. 1992. Designing as Reflective Conversation with the Materials of a Design Situation.Research in Engineering Design3, 3 (Sept. 1992), 131–147. doi:10.1007/BF01580516

  53. [63]

    Donald A. Schön. 2017.The Reflective Practitioner: How Professionals Think in Action. Routledge, London. doi:10.4324/9781315237473

  54. [64]

    Phoebe Sengers, Kirsten Boehner, Shay David, and Joseph ’Jofish’ Kaye. 2005. Reflective Design. InProceedings of the 4th Decennial Conference on Critical Computing: Between Sense and Sensibility (CC ’05). Association for Computing Machinery, New York, NY, USA, 49–58. doi:10.11...

  55. [65]

    Ben Shneiderman. 1983. Direct Manipulation: A Step Beyond Programming Languages.Computer16, 8 (Aug. 1983), 57–69. doi:10.1109/MC.1983.1654471

  56. [66]

    2022.Human-Centered AI

    Ben Shneiderman. 2022.Human-Centered AI. Oxford University Press, Oxford, New York

  57. [67]

    1998.Harvey Sacks: Social Science and Conversation Analysis

    David Silverman. 1998.Harvey Sacks: Social Science and Conversation Analysis. Oxford University

  58. [68]

    1975.Pygmalion: A Creative Programming Environment

    David Canfield Smith. 1975.Pygmalion: A Creative Programming Environment. Stanford University

  59. [69]

    2007.Human-Machine Reconfigurations: Plans and Situ- ated Actions(2 ed.)

    Lucy Suchman. 2007.Human-Machine Reconfigurations: Plans and Situ- ated Actions(2 ed.). Cambridge University Press, Cambridge. doi:10.1017/ CBO9780511808418

  60. [70]

    2005.What Things Do: Philosophical Reflections on Technology, Agency, and Design

    Peter-Paul Verbeek. 2005.What Things Do: Philosophical Reflections on Technology, Agency, and Design. Penn State University Press

  61. [71]

    Bret Victor. 2006. Magic Ink: Information Software and the Graphical Interface. http://worrydream.com/MagicInk/. Accessed 2025-09-06

  62. [72]

    Bret Victor. 2012. Learnable Programming. http://worrydream.com/ LearnableProgramming/. Accessed 2025-09-06

  63. [73]

    John von Neumann. 1982. First Draft of a Report on the EDVAC. InThe Ori- gins of Digital Computers: Selected Papers, Brian Randell (Ed.). Springer, Berlin, Heidelberg, 383–392. doi:10.1007/978-3-642-61812-3_30

  64. [74]

    Weisz, Jessica He, Michael Muller, Gabriela Hoefer, Rachel Miles, and Werner Geyer

    Justin D. Weisz, Jessica He, Michael Muller, Gabriela Hoefer, Rachel Miles, and Werner Geyer. 2024. Design Principles for Generative AI Applications. InPro- ceedings of the 2024 CHI Conference on Human Factors in Computing Systems (CHI ’24). Association for Computing Machinery...

  65. [75]

    Matt Welsh. 2023. The End of Programming.Commun. ACM66, 1 (Jan. 2023), 34–35. doi:10.1145/3570220

  66. [76]

    Yi Wen and Meng Xia. 2025. Promoting Real-Time Reflection in Synchronous Communication with Generative AI. arXiv:2504.15647 [cs] doi:10.48550/arXiv. 2504.15647

  67. [77]

    1986.Understanding Computers and Cog- nition: A New Foundation for Design

    Terry Winograd and Fernando Flores. 1986.Understanding Computers and Cog- nition: A New Foundation for Design. Ablex Publishing Corporation

Pith tools

Reviewed May 15, 2026 · model on record in the stance chip above.