Digital transmission of traditional cultural heritage faces challenges of insufficient user engagement and superficial dissemination. Using the Cizhou kiln as a case study, this research proposes the “Creation-as-Transmission” design paradigm, which transcends traditional unidirectional display models by transforming users from cultural consumers to cultural co-creators. This paradigm systematically integrates situated cognition theory and co-creation theory, achieving deep cultural learning and socialized transmission through AI collaborative creation. Empirical studies (N = 200) demonstrate that compared to traditional methods, this paradigm significantly enhances cultural cognition (74% improvement) and the proportion of spontaneous sharing on social media (82.6% sharing rate). More importantly, this research provides the first quantification of causal mechanisms between creative behaviors and cultural cognition, establishing a predictive model explaining 73.1% of cognitive variance and offering mechanistic evidence for situated learning theory’s application in cultural heritage transmission. The research contributions have threefold value: theoretically, it expands HCI understanding of the relationship between “design behaviors and cognitive effects”; methodologically, it provides a transferable implementation framework for other intangible cultural heritage; practically, it opens new pathways for digital technologies to promote sustainable cultural transmission.

This study presents an innovative framework to improve the accessibility and usability of collaborative robot programming. Building on previous research that evaluated the feasibility of using a domain-specific language based on behaviour-driven development, this paper addresses the limitations of earlier work by integrating additional features like a drag-and-drop Blockly web interface. The system enables end users to define and execute robot actions with minimal technical knowledge, making it more adaptable and intuitive. Additionally, a gesture-recognition module facilitates multimodal interaction, allowing users to control robots through natural gestures. The system was evaluated through a user study involving participants with varying levels of professional experience and little to no programming background. Results indicate significant improvements in user satisfaction, with the system usability scale overall score increasing from 7.50 to 8.67 out of a maximum of 10 and integration ratings rising from 4.42 to 4.58 out of 5. Participants completed tasks using a manageable number of blocks (5 to 8) and reported low frustration levels (mean: 8.75 out of 100) alongside moderate mental demand (mean: 38.33 out of 100). These findings demonstrate the tool’s effectiveness in reducing cognitive load, enhancing user engagement and supporting intuitive, efficient programming of collaborative robots for industrial applications.

The neurocognition of multimodal interaction – the embedded, embodied, predictive processing of vocal and non-vocal communicative behaviour – has developed into an important subfield of cognitive science. It leaves a glaring lacuna, however, namely the dearth of a precise investigation of the meanings of the verbal and non-verbal communication signals that constitute multimodal interaction. Cognitively construable dialogue semantics provides a detailed and context-aware notion of meaning, and thereby contributes content-based identity conditions needed for distinguishing syntactically or form-based defined multimodal constituents. We exemplify this by means of two novel empirical examples: dissociated uses of negative polarity utterances and head shaking, and attentional clarification requests addressing speaker/hearer roles. On this view, interlocutors are described as co-active agents, thereby motivating a replacement of sequential turn organisation as a basic organising principle with notions of leading and accompanying voices. The Multimodal Serialisation Hypothesis is formulated: multimodal natural language processing is driven in part by a notion of vertical relevance – relevance of utterances occurring simultaneously – which we suggest supervenes on sequential (‘horizontal’) relevance – relevance of utterances succeeding each other temporally.