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 "name": "Productivity implications for generative AI role-based prompts as a networked hermeneutic (Commentary)",
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 "datePublished": "2024-08",
 "doi": "10.1177/17504813241271444",
 "url": "https://seanrintel.com/publications/productivity-implications-for-generative-ai-role-based-prompts-as-a-networked-hermeneutic.html",
 "citation": "Sean Rintel. 2024. Productivity implications for generative AI role-based prompts as a networked hermeneutic (Commentary). Discourse & Communication. https://doi.org/10.1177/17504813241271444",
 "bibtex": "@article{rintel2024commentary,\nauthor = {Rintel, Sean},\ntitle = {Productivity implications for generative AI role-based prompts as a networked hermeneutic (Commentary)},\nyear = {2024},\nmonth = {August},\nurl = {https://doi.org/10.1177/17504813241271444},\njournal = {Discourse & Communication},\ndoi = {10.1177/17504813241271444},\n}",
 "abstract": "A commentary on Housley and Dahl (2024), who show that role-based prompts for generative AI draw on vernacular resources of membership categorisation and action description, forming a networked hermeneutic of lay and professional sociology. From a human-computer interaction perspective, I outline three implications for designing generative AI for productivity. First, treating AI responses as enactments of that hermeneutic may improve explainability, supporting users' metacognition and the co-auditing of AI output. Second, AI's synthetic reflection of role-based behaviour opens new technomethodological inquiry, provided synthetic personas are not naïvely substituted for real people. Third, understanding role-based prompting could help teams collaborate, from coaching users to specify interactional stances to helping members understand the stances of absent colleagues.",
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 "takeaway": "Prompts that ask AI to play a role draw on everyday, shared ways of sorting people into roles, and AI replies reflect that shared understanding back. Reading replies this way could help explain AI's mistakes, support simulations of role-based conduct, and help teams understand each other's stances.",
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 "whyItMatters": {
  "stateOfTheArt": {
   "summary": "Housley and Dahl (2024) showed that role-based prompts for generative AI draw on everyday ways of categorising people and describing actions.",
   "quote": "role-based prompts for Generative AI (GenAI) systems are based on vernacular resources of membership categorization and action description",
   "location": "p. 1"
  },
  "contribution": {
   "summary": "A Human-Computer Interaction researcher's view of what that finding means for designing generative AI for productivity, with three implications for explainability, research and team collaboration.",
   "quote": "I see three implications for designing GenAI systems for productivity.",
   "location": "p. 1"
  },
  "whoCares": {
   "summary": "Designers of generative AI systems for productivity, and the people who must craft prompts and judge what comes back.",
   "quote": "calibrating one's ability to craft prompts and evaluate outputs",
   "location": "p. 1"
  }
 },
 "researchQuestions": [
  "What does understanding role-based prompts as a networked hermeneutic of lay and professional sociology imply for designing generative AI systems for productivity?"
 ],
 "concepts": [
  {
   "term": "Networked hermeneutic",
   "definition": "The shared, distributed understanding of roles and actions that both users' role-based prompts and generative AI's responses reflect.",
   "quote": "representing a networked hermeneutic of lay and professional sociology",
   "location": "p. 1"
  },
  {
   "term": "Role-based prompts",
   "definition": "Prompts that ask a generative AI system to take on or address a social or professional role. Housley and Dahl (2024) show they draw on everyday resources for categorising people and describing actions."
  },
  {
   "term": "Waluigi effect",
   "definition": "A popular name, which the author borrows for one of generative AI's mysteries:",
   "quote": "the meme-ified term for Jung's 'shadow', in which a GenAI does the opposite of what it is asked",
   "location": "p. 1"
  },
  {
   "term": "Technomethodology",
   "definition": "Following Button and Dourish (1996), inquiry that brings together technology design and ethnomethodology. Here, comparing simulated role-based behaviour with real people's.",
   "quote": "open new fields of 'technomethodological' inquiry",
   "location": "p. 2"
  }
 ],
 "method": {
  "design": "Invited commentary on Housley and Dahl (2024), 'Membership categorisation, sociological description and role prompt engineering with ChatGPT'.",
  "setting": "Discourse & Communication, 2024.",
  "sample": "No empirical sample. An argument from the perspective of an industry Human-Computer Interaction researcher.",
  "analysis": "Conceptual argument drawing on research on generative AI metacognition, co-auditing and technomethodology."
 },
 "findings": [
  {
   "headline": "AI reflects the author's own understanding back.",
   "summary": "The author argues that generative AI's responses, like users' role-based prompts, reflect a shared everyday understanding of roles and actions. Treating responses as enacting that understanding, and knowing the training data, may help explain AI behaviour, from simple mistakes to doing the opposite of what was asked.",
   "quote": "Just as users' role-based prompting is a networked hermeneutic, so too are GenAI's reflections of ourselves.",
   "location": "p. 1",
   "url": "https://seanrintel.com/publications/productivity-implications-for-generative-ai-role-based-prompts-as-a-networked-hermeneutic.html#at-p-1",
   "cite": "Sean Rintel. 2024. Productivity implications for generative AI role-based prompts as a networked hermeneutic (Commentary). Discourse & Communication. https://doi.org/10.1177/17504813241271444 (p. 1)"
  },
  {
   "headline": "Explainability supports metacognition.",
   "summary": "Explaining AI behaviour in this way matters because using generative AI makes metacognitive demands on people, and because people need to double-check its output (co-auditing).",
   "quote": "calibrating one's ability to craft prompts and evaluate outputs",
   "location": "p. 1",
   "url": "https://seanrintel.com/publications/productivity-implications-for-generative-ai-role-based-prompts-as-a-networked-hermeneutic.html#at-p-1-2",
   "cite": "Sean Rintel. 2024. Productivity implications for generative AI role-based prompts as a networked hermeneutic (Commentary). Discourse & Communication. https://doi.org/10.1177/17504813241271444 (p. 1)"
  },
  {
   "headline": "Simulated roles could scale research.",
   "summary": "Because generative AI reflects shared understandings of roles, it could simulate how people in a given role behave, and those simulations could be compared with real people's responses, opening new lines of 'technomethodological' inquiry.",
   "quote": "there is potential for scaling research into human action that did not exist before.",
   "location": "p. 2",
   "url": "https://seanrintel.com/publications/productivity-implications-for-generative-ai-role-based-prompts-as-a-networked-hermeneutic.html#at-p-2",
   "cite": "Sean Rintel. 2024. Productivity implications for generative AI role-based prompts as a networked hermeneutic (Commentary). Discourse & Communication. https://doi.org/10.1177/17504813241271444 (p. 2)"
  },
  {
   "headline": "Personas are not people.",
   "summary": "Simulated behaviour cannot simply stand in for real people as evidence of how people in those roles act.",
   "quote": "Such inquiries should not naïvely substitute synthetic personas for real people and assume that the results are either relevant or generalizable.",
   "location": "p. 2",
   "url": "https://seanrintel.com/publications/productivity-implications-for-generative-ai-role-based-prompts-as-a-networked-hermeneutic.html#at-p-2-2",
   "cite": "Sean Rintel. 2024. Productivity implications for generative AI role-based prompts as a networked hermeneutic (Commentary). Discourse & Communication. https://doi.org/10.1177/17504813241271444 (p. 2)"
  },
  {
   "headline": "Coaching for team collaboration.",
   "summary": "Understanding role-based prompts could help teams work together, beginning with AI systems that coach users to state the interactional stances that will get them relevant work information.",
   "quote": "This could start with systems coaching users to specify interactional stances that will help a GenAI system provide relevant work information.",
   "location": "p. 2",
   "url": "https://seanrintel.com/publications/productivity-implications-for-generative-ai-role-based-prompts-as-a-networked-hermeneutic.html#at-p-2-3",
   "cite": "Sean Rintel. 2024. Productivity implications for generative AI role-based prompts as a networked hermeneutic (Commentary). Discourse & Communication. https://doi.org/10.1177/17504813241271444 (p. 2)"
  }
 ],
 "questions": [
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   "question": "Why does generative AI sometimes do the opposite of what it is asked?",
   "answer": "One possible explanation is that its responses reflect the everyday understanding of roles and actions that role-based prompts draw on (a networked hermeneutic). Treating responses as enacting that understanding, and knowing the training data, may help explain such behaviour.",
   "source": "Sean Rintel. 2024. Productivity implications for generative AI role-based prompts as a networked hermeneutic (Commentary). Discourse & Communication. https://doi.org/10.1177/17504813241271444",
   "basedOn": [
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     "location": "p. 1",
     "url": "https://seanrintel.com/publications/productivity-implications-for-generative-ai-role-based-prompts-as-a-networked-hermeneutic.html#at-p-1"
    }
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  },
  {
   "question": "Can AI personas replace human participants in research?",
   "answer": "Not as a simple substitute. Generative AI could simulate role-based behaviour to compare with responses from people in those roles, which could scale research into human action. But synthetic personas should not naively substitute for real people or be assumed relevant or generalisable.",
   "source": "Sean Rintel. 2024. Productivity implications for generative AI role-based prompts as a networked hermeneutic (Commentary). Discourse & Communication. https://doi.org/10.1177/17504813241271444",
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     "location": "p. 2",
     "url": "https://seanrintel.com/publications/productivity-implications-for-generative-ai-role-based-prompts-as-a-networked-hermeneutic.html#at-p-2-2"
    }
   ]
  },
  {
   "question": "Why does explaining AI behaviour matter to the people using it?",
   "answer": "Because using generative AI is metacognitively demanding. People must judge how well they can craft prompts and evaluate outputs, and double-check what comes back. Understanding responses as reflections of shared knowledge of roles could support that judgement beyond mechanised methods of explanation.",
   "source": "Sean Rintel. 2024. Productivity implications for generative AI role-based prompts as a networked hermeneutic (Commentary). Discourse & Communication. https://doi.org/10.1177/17504813241271444",
   "basedOn": [
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     "location": "p. 1",
     "url": "https://seanrintel.com/publications/productivity-implications-for-generative-ai-role-based-prompts-as-a-networked-hermeneutic.html#at-p-1-2"
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 ],
 "cites": [
  {
   "url": "https://seanrintel.com/publications/the-metacognitive-demands-and-opportunities-of-generative-ai.html",
   "title": "The Metacognitive Demands and Opportunities of Generative AI",
   "location": "p. 2"
  }
 ],
 "quantitative": [],
 "implications": [
  {
   "summary": "A more complex version would help unpack the stances of absent team members, and synthesise a team's stances to support alignment, onboarding and mutual understanding.",
   "quote": "This might enable a synthesis of the holistic interactional stances of teams, ensuring alignment to team goals, aiding onboarding",
   "location": "p. 2"
  },
  {
   "summary": "Explainability could come from understanding the networked hermeneutic, not only from mechanised methods.",
   "quote": "Understanding GenAI responses by way of the networked hermeneutic may provide for explainability beyond mechanized methods.",
   "location": "p. 1"
  }
 ],
 "limitations": [
  {
   "summary": "This is a short commentary, so the three implications are proposals, not tested results."
  }
 ],
 "figures": [],
 "pageNumbersReferTo": "https://seanrintel.com/publications/productivity-implications-for-generative-ai-role-based-prompts-as-a-networked-hermeneutic.pdf",
 "verified": "2026-10-25",
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   "summary": "A short invited commentary by an industry Human-Computer Interaction researcher on Housley and Dahl's 2024 study of role-based prompts for generative AI. It draws out what that study means for designing generative AI for productivity.",
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   ]
  },
  "keyTerm": "networked hermeneutic",
  "takeaway": "AI replies to role prompts can reflect a networked hermeneutic, people's shared knowledge of roles. Reading replies this way may help explain AI's mistakes, support simulations of role-based conduct and help teams understand each other's stances."
 }
}