FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W4387329456> ?p ?o ?g. }

• W4387329456 endingPage "33" @default.
• W4387329456 startingPage "1" @default.
• W4387329456 abstract "Just as other disciplines, the humanities explore how computational research approaches and tools can meaningfully contribute to scholarly knowledge production. Building on related work from the areas of CSCW and HCI, we approach the design of computational tools through the analytical lens of 'human-AI collaboration.' Such work investigates how human competencies and computational capabilities can be effectively and meaningfully combined. However, there is no generalizable concept of what constitutes 'meaningful' human-AI collaboration. In terms of genuinely human competencies, we consider criticality and reflection as guiding principles of scholarly knowledge production and as deeply embedded in the methodologies and practices of the humanities. Although (designing for) reflection is a recurring topic in CSCW and HCI discourses, it has not been centered in work on human-AI collaboration. We posit that integrating both concepts is a viable approach to supporting 'meaningful' human-AI collaboration in the humanities and other qualitative, interpretivist, and hermeneutic research areas. Our research, thus, is guided by the question of how critical reflection can be enabled in human-AI collaboration. We address this question with a use case that centers on computer vision (CV) tools for art historical image retrieval. Specifically, we conducted a qualitative interview study with art historians to explore a) what potentials and affordances art historians ascribe to human-AI collaboration and CV in particular, and b) in what ways art historians conceptualize critical reflection in the context of human-AI collaboration. We extended the interviews with a think-aloud software exploration. We observed and recorded participants' interaction with a ready-to-use CV tool in a possible research scenario. We found that critical reflection, indeed, constitutes a core prerequisite for 'meaningful' human-AI collaboration in humanities research contexts. However, we observed that critical reflection was not fully realized during interaction with the CV tool. We interpret this divergence as supporting our hypothesis that computational tools need to be intentionally designed in such a way that they actively scaffold and support critical reflection during interaction. Based on our findings, we suggest four empirically grounded design implications for 'critical-reflective human-AI collaboration': supporting reflection on the basis of transparency, foregrounding epistemic presumptions, emphasizing the situatedness of data, and strengthening interpretability through contextualized explanations." @default.
• W4387329456 created "2023-10-05" @default.
• W4387329456 creator A5015387835 @default.
• W4387329456 creator A5082816752 @default.
• W4387329456 date "2023-09-28" @default.
• W4387329456 modified "2023-10-16" @default.
• W4387329456 title "Critical-Reflective Human-AI Collaboration: Exploring Computational Tools for Art Historical Image Retrieval" @default.
• W4387329456 cites W1974450273 @default.
• W4387329456 cites W1975815871 @default.
• W4387329456 cites W1979290264 @default.
• W4387329456 cites W1987523869 @default.
• W4387329456 cites W1989833310 @default.
• W4387329456 cites W2004690028 @default.
• W4387329456 cites W2007213953 @default.
• W4387329456 cites W2011574219 @default.
• W4387329456 cites W2013047641 @default.
• W4387329456 cites W2016802051 @default.
• W4387329456 cites W2042659035 @default.
• W4387329456 cites W2048496095 @default.
• W4387329456 cites W2051696144 @default.
• W4387329456 cites W2059216172 @default.
• W4387329456 cites W2059635092 @default.
• W4387329456 cites W2081446842 @default.
• W4387329456 cites W2088522824 @default.
• W4387329456 cites W2092313727 @default.
• W4387329456 cites W2143301584 @default.
• W4387329456 cites W2143512323 @default.
• W4387329456 cites W2157688849 @default.
• W4387329456 cites W2161095991 @default.
• W4387329456 cites W2269946615 @default.
• W4387329456 cites W2337934060 @default.
• W4387329456 cites W2346884567 @default.
• W4387329456 cites W2426090710 @default.
• W4387329456 cites W2524563469 @default.
• W4387329456 cites W2610874523 @default.
• W4387329456 cites W2738411409 @default.
• W4387329456 cites W2795540509 @default.
• W4387329456 cites W2809100814 @default.
• W4387329456 cites W2894904350 @default.
• W4387329456 cites W2901924367 @default.
• W4387329456 cites W2912237507 @default.
• W4387329456 cites W2916904544 @default.
• W4387329456 cites W2942348276 @default.
• W4387329456 cites W2950504429 @default.
• W4387329456 cites W3019215050 @default.
• W4387329456 cites W3030790076 @default.
• W4387329456 cites W3125613397 @default.
• W4387329456 cites W3126078486 @default.
• W4387329456 cites W3133631714 @default.
• W4387329456 cites W3160042174 @default.
• W4387329456 cites W3179311471 @default.
• W4387329456 cites W3193953544 @default.
• W4387329456 cites W3203862194 @default.
• W4387329456 cites W3206352510 @default.
• W4387329456 cites W3206669890 @default.
• W4387329456 cites W3207830467 @default.
• W4387329456 cites W3212368439 @default.
• W4387329456 cites W4205123430 @default.
• W4387329456 cites W4225137238 @default.
• W4387329456 cites W4291961169 @default.
• W4387329456 doi "https://doi.org/10.1145/3610054" @default.
• W4387329456 hasPublicationYear "2023" @default.
• W4387329456 type Work @default.
• W4387329456 citedByCount "0" @default.
• W4387329456 crossrefType "journal-article" @default.
• W4387329456 hasAuthorship W4387329456A5015387835 @default.
• W4387329456 hasAuthorship W4387329456A5082816752 @default.
• W4387329456 hasBestOaLocation W43873294561 @default.
• W4387329456 hasConcept C107457646 @default.
• W4387329456 hasConcept C127413603 @default.
• W4387329456 hasConcept C144024400 @default.
• W4387329456 hasConcept C151730666 @default.
• W4387329456 hasConcept C18762648 @default.
• W4387329456 hasConcept C194995250 @default.
• W4387329456 hasConcept C198293453 @default.
• W4387329456 hasConcept C198439703 @default.
• W4387329456 hasConcept C199360897 @default.
• W4387329456 hasConcept C2522767166 @default.
• W4387329456 hasConcept C2779343474 @default.
• W4387329456 hasConcept C36289849 @default.
• W4387329456 hasConcept C41008148 @default.
• W4387329456 hasConcept C65682993 @default.
• W4387329456 hasConcept C78519656 @default.
• W4387329456 hasConcept C86803240 @default.
• W4387329456 hasConceptScore W4387329456C107457646 @default.
• W4387329456 hasConceptScore W4387329456C127413603 @default.
• W4387329456 hasConceptScore W4387329456C144024400 @default.
• W4387329456 hasConceptScore W4387329456C151730666 @default.
• W4387329456 hasConceptScore W4387329456C18762648 @default.
• W4387329456 hasConceptScore W4387329456C194995250 @default.
• W4387329456 hasConceptScore W4387329456C198293453 @default.
• W4387329456 hasConceptScore W4387329456C198439703 @default.
• W4387329456 hasConceptScore W4387329456C199360897 @default.
• W4387329456 hasConceptScore W4387329456C2522767166 @default.
• W4387329456 hasConceptScore W4387329456C2779343474 @default.
• W4387329456 hasConceptScore W4387329456C36289849 @default.
• W4387329456 hasConceptScore W4387329456C41008148 @default.
• W4387329456 hasConceptScore W4387329456C65682993 @default.

• next