Searcharxiv⌕ Search

arXiv subjects

Pitch Sinlapanuntakul

Publications and source records attributed to Pitch Sinlapanuntakul.

3 recordsLinked to original sources

How Designers Envision Value-Oriented AI Design Concepts with Generative AI

As AI integrates into design practice, designers increasingly use generative AI tools to envision AI-enabled solutions, positioning AI as both design tool and design material. This dual role creates recursive value tensions distinct from traditional design work. We engaged 18 designers in a concept envisioning activity and interviews to understand how they navigate values and recognize potential harms in this context. Our analysis reveals that (i) designers engage in reciprocal reflection-in-action with AI; (ii) this process surfaces multi-level value tensions across tool, designer, and concept; (iii) designers demonstrate greater attunement to harm recognition as a primary design signal than to articulating positive value fulfillment; and (iv) designers exercise anticipatory judgment through meta-design reasoning about how tool assumptions risk propagating into designed concepts and future use contexts. We extend Schon's reflection-in-action framework and discuss implications for redesigning AI-mediated design tools, supporting harm-centered reasoning, and positioning design as foundational to AI development.

cs.HC↗

Developing an AI Concept Envisioning Toolkit to Support Reflective Juxtaposition of Values and Harms

Early-stage concept envisioning is a critical juncture in AI design, shaping how designers frame problems and the decisions that follow. Yet values and potential harms are often too abstract or addressed too late to meaningfully shape design. Using a Research-through-Design (RtD) approach, we developed the AI Concept Envisioning Toolkit, comprising an AI Capability Library, 24 Value--Harm Cards, and a Value--Tension Map, to support reasoning by juxtaposing values and harms within AI technical capabilities. Through a survey with 30 designers and in-depth interviews with 12 designers, we find that the toolkit is clear and perceived as valuable, and that it encourages value reflection, helps anticipate potential harms, and makes ethical considerations more transparent in early-stage design. We reflect on our design process and discuss design approaches for tools that promote reflection on values and potential harms, surface and navigate value tensions, and introduce productive friction throughout design workflows.

cs.HC↗

Perception in Pixels: Effects of Avatar Representation in Video-Mediated Collaborative Interactions

Interactive collaborative video is now a common part of remote work. Despite its prevalence, traditional video conferencing can be challenging, sometimes causing social discomforts that undermine process and outcomes. Avatars on 2D displays offer a promising alternative for enhancing self-representation, bridging the gap between virtual reality (VR) and traditional non-immersive video. However, the use of such avatars in activity-oriented group settings remains underexplored. To address this gap, we conducted a mixed-methods, within-subject study investigating the impacts of avatar-mediated versus traditional video representations on collaboration satisfaction and self-esteem. 32 participants (8 groups of 4 with pre-established relationships) engaged in goal-directed activities, followed by group interviews. Results indicate that avatars significantly enhance self-esteem and collaboration satisfaction, while qualitative insights reveal the dynamic perceptions and experiences of avatars, including benefits, challenges, and factors influencing adoption likelihood. Our study contributes to understanding and implications of avatars as a camera-driven representation in video-mediated collaborative interactions.

cs.HC↗