Notes.

Organized around the question of how to record and analyze the making process and reflection on it, this note reviews three methodological lineages neutrally: the critical incident technique (Flanagan 1954), the design of structured reflection (Ash & Clayton's 2009 DEAL model), and the quality assessment of reflective writing (Ullmann 2019), attending to differences in collection design and unit of analysis. As contextual support it adds the quality assurance of literature reviews (Boote & Beile 2005 and others) and historical cases of environments that cultivate an exploratory disposition (the Bauhaus preliminary course, organizational slack-time programs). The organizational slack-time cases are handled with their low academic rigor and success bias made explicit. 11 reference footnotes (the Bauhaus note bundles 3 works).

Organized around the question of who designs and along which paths the value of that design is realized, this note maps the literature on the democratization of design as a neutral review. It brings together Manzini's design for social innovation (2015), ontological designing (the circle in which design creates a world that in turn creates us), traceable to Willis and to Winograd & Flores, Escobar's designs for the pluriverse (2018), Honneth's theory of recognition (1995), and Tronto's caring democracy (2013), under the single question of pluralizing the paths of value realization. 12 references.

A single map of the literature on how to design the participation of non-experts in design. It runs from participatory design rooted in Nordic labor movements (Ehn 1988; Robertson & Simonsen 2013), through the sociotechnics of an age when everybody designs (Manzini 2015), the generative tools and probes that engage non-designers (Sanders & Stappers 2008, 2012), the boundary objects that translate knowledge across groups (Star & Griesemer 1989; Carlile 2002, 2004), infrastructuring and agonism as the slow cultivation of collaborative ground (Ehn 2008; Karasti 2014; Björgvinsson et al. 2012), to design justice and the capability approach that interrogate the inequality of participation (Costanza-Chock 2020; Oosterlaken 2015). 17 references (0 Japanese, 17 English).

The conclusion of the preceding note (qualitative-quantitative-design-research) -- that the exploratory character of design is epistemologically consonant with qualitative research -- occupies a mainstream position in design research since Frayling (1993), Cross (2006), and Dorst (2011). A bibliometric analysis of fifteen years of Design Studies (Chai & Xiao 2012) corroborates the predominance of qualitative methods. Three countervailing tensions nevertheless persist: the quantitative orientation of HCI (the experimental norms of CHI), the quantitative tradition of evidence-based design, and the call by Gaver (2012) and Koskinen et al. (2011) to transcend the qualitative-quantitative dichotomy altogether. A research agenda centered on 'how evaluation affects people's willingness to try again' and 'designing conditions that enable a second attempt' harbors a methodological tension: qualitative methods are needed to describe those conditions, yet some form of empirical verification is required to assess whether altered conditions produce the intended effects. This tension cannot be bridged by mixed-methods pragmatism alone; a mechanism-oriented epistemology such as critical realism (Bhaskar 1975) emerges as a candidate framework.

An overview of the epistemological foundations, strengths, and limitations of qualitative and quantitative research, along with guidelines for methodological choice in design research. Design is an exploratory activity that envisions and realizes what does not yet exist (Simon 1969; Schon 1983; Cross 2006). Because of this character, qualitative methods (ethnography, protocol analysis, case studies, research through design) are called for at the exploratory stage, while quantitative methods (usability testing, surveys, experiments) are needed at the evaluative stage. Mixed methods research provides a framework that methodologically secures the continuity between these two stages within a single study.

An integrated summary of 'AI and design' developments over the past seven days, collected in three tiers: T1v vendor primary sources, T2 public institutions and research, and T3 expert opinion. This was a week in which the design shift toward 'treating images as collections of objects,' shown separately by Adobe and Wroblewski, and the regulatory move by Korea's intellectual property authority to require records of human contribution in design applications lined up as the technical and institutional faces of the same movement: decomposing artifacts into elements and giving them units.

A monthly scholarly watch collecting 30 peer-reviewed papers and preprints on 'AI and design' from June through early July 2026. ACM DIS 2026 alone accounts for 13 papers addressing the alignment of generative AI with design intent, while two empirical studies from the same period report that generative AI narrows divergent thinking and lowers functional success rates. This conflict is not resolved within the present corpus.

An integrated summary collecting the past 7 days of 'AI and design' developments in three tiers: T1v vendor primary sources, T2 public institutions and surveys, and T3 expert commentary. This week's three observation points: the commoditization of execution seen in GPT-5.6's same-week integration into tools, experts converging on judgment, taste, and critique as the scarce resources, and regulation moving toward mandatory disclosure of AI-generated content.

Analyzes human competency measurement premised on AI use, drawing on 28 academic sources and 16 industry sources. Three structural findings: (1) AI compresses the productivity distribution (43% improvement for low-skill workers vs 17% for high-skill workers, Dell'Acqua 2026 N=758), yet the higher the task complexity, the more existing expertise is amplified; (2) articulation ability and proactiveness indirectly determine the effectiveness of AI use (Power Users experiment 68% more frequently and persist 30% more often after failure, Microsoft 2024 N=31,000); (3) existing AI literacy scales show divergence between self-report and objective assessment (Zhang et al. 2026). What should be measured is not 'whether one can use AI' but 'which cognitive functions are amplified through collaboration with AI.'

A cross-sectional analysis of the phenomenon in which the designer's role shifts from maker to editor/curator, drawing on 19 academic sources and 15 industry sources. Three structural findings: (1) the transition is empirically confirmed, with 71% spending more time on evaluation/curation than original production (Rivera & Russi 2026, 217 practitioners across 43 countries); (2) new judgment typologies have emerged alongside the transition (agency allocation judgment, trustworthiness judgment); (3) behind the efficiency narrative, 'AI management labor' has surfaced as a new form of cognitive burden. Industry data reveal a structural divergence between 90% adoption and only 10% approval.