Search Results (5)

Generative Artificial Intelligence (GenAI)-assisted Virtual Reality (VR) heritage serious game design constitutes a complex adaptive socio-technical system in which natural language prompts act as control levers shaping designers’ cognition and action. However, the systemic effects of prompt type on agency construction, decision boundaries, and process strategy remain unclear. Treating the design setting as adaptive, we captured real-time interactions by collecting think-aloud data from 48 novice designers. Nine prompt categories were extracted and their cognitive effects were systematically analyzed through the Repertory Grid Technique (RGT), principal component analysis (PCA), and Ward clustering. These analyses revealed three perception profiles: tool-based, collaborative, and mentor-like. Strategy coding of 321 prompt-aligned utterances showed cluster-specific differences in path length, first moves, looping, and branching. Tool-based prompts reinforced boundary control through short linear refinements; collaborative prompts sustained moderate iterative enquiry cycles; mentor-like prompts triggered divergent exploration via self-loops and frequent jumps. We therefore propose a stage-adaptive framework that deploys mentor-like prompts for ideation, collaborative prompts for mid-phase iteration, and tool-based prompts for final verification. This approach balances creativity with procedural efficiency and offers a reusable blueprint for integrating prompt-driven agency modelling into GenAI design workflows. Full article

Farmland ownership is a critical issue for sustainable agriculture since it affects short-term productivity and the long-term stability of the sector. However, existing literature largely focused on immediately simplifying individual opinions through statistical methods, neglecting how implicit values could drive preferential ownership decisions. Therefore, this study aimed to understand the driving factors underlying decisions on farmland ownership, especially when there are cognitive factors that induce hidden constructs in individual preferences. This research, to observe the cognition and implicit values leading to ownership decisions, applied the Repertory Grid Technique (RGT) with subsequent Principal Component Analysis (PCA). Taking the multiple case studies of three villages in Kediri, East Java, Indonesia, this study involved 40 farmland owners. The RGT revealed a staggering 85 constructs leading to six ownership decisions: keep farming, buying, joint farming, leasing, selling, and converting. In general, the driving forces were distinguished into landowners’ household profile, sustainability-related (community and social conditions), spatial (farmland conversion and accessibility), and economic aspects. Based on PCA, “buying” and “keep farming” shared several driving forces and led to sustainable farming. In contrast, “joint farming”, “leasing”, “selling”, and “converting” were found to threaten farming sustainability. In addition, this study offers in-depth insights into the driving factors of different preferential ownership decisions according to the cognition and implicit values of individual landowners, allowing policymakers and other stakeholders to tailor policies and strategies to context-specific farmland ownership issues in pursuing sustainable agriculture. Full article

One of the ramifications of the COVID-19 pandemic is that it has lent urgency to ongoing discussions on mental well-being, particularly among university students. While standard techniques are available to diagnose mental health disorders such as depression, anxiety, and stress, ambiguity persists regarding the emotional aspect of well-being. Emotional well-being (EWB) is a recently developed concept that seeks to understand the contribution of emotions to one’s well-being. Interactive approaches for such investigations are recommended to understand people’s contextual experiences in the built environment. This study utilizes a qualitative approach, underpinned by personal construct theory (PCT) and the qualitative repertory grid technique (RGT), to understand how university hostel designs can contribute to students’ emotional well-being. We interviewed fifteen students from the United Arab Emirates University (UAEU) and obtained their perceptions of three built environments they experienced and an ideal place they imagined. The results unveiled design-related factors associated with students’ emotional constructs and elucidated characteristics of an ‘ideal’ hostel in response to these emotional constructs. These findings enrich our knowledge of EWB within university hostels offering insights for the future design that consider the emotional aspect of well-being for residents. Full article

This paper presents a subjective study conducted on the perception of auditory attributes depending on listener position and head orientation in an enclosed space. Two elicitation experiments were carried out using the repertory grid technique—in-situ and laboratory experiments—which aimed to identify perceptual attributes among 10 different combinations of the listener’s positions and head orientations in a concert hall. It was found that, between the in-situ and laboratory experiments, the listening positions and head orientations were clustered identically. Ten salient perceptual attributes were identified from the data obtained from the laboratory experiment. Whilst these included conventional attributes such as ASW (apparent source width) and LEV (listener envelopment), new attributes such as PRL (perceived reverb loudness), ARW (apparent reverb width) and Reverb Direction were identified, and they are hypothesised to be sub-attributes of LEV (listener envelopment). Timbral characteristics such as Reverb Brightness and Echo Brightness were also identified as salient attributes, which are considered to potentially contribute to the overall perceived clarity. Full article

This study used the attention, relevance, confidence, and satisfaction (ARCS) method and Kelly’s repertory grid technique (RGT) to develop a high-efficiency e-book. Its main design concepts were to use the ARCS model to create a highly interactive human–machine interface and multimedia learning content that would enhance the learning motivation of users, and to use RGT and a knowledge map to supplement the learning strategy and help users effectively build personalized knowledge. This study adopted Taiwanese cherry blossoms as the learning objectives and recruited 70 freshmen from a university in Tainan as research participants. During the experiment, the students were divided into a control group, which used websites on cherry blossoms, and an experimental group, which used the system developed for this study. Learning outcome assessments and questionnaires were conducted on the pre- and post- learning test data of both groups. The learning outcomes were analyzed using a t-test. In the questionnaire, the assessments and discussions were focused on the four constructs of ARCS. The results show that the improvement of learning outcomes was more significant in the experimental group than in the control group. All dimensions of the questionnaire achieved significant results. Therefore, the learners provided positive reviews of the proposed high-efficiency e-book. Full article