Towards A Process Model for Co-Creating AI Experiences
| Autor: | Hariharan Subramonyam, Colleen M. Seifert, Eytan Adar |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
FOS: Computer and information sciences
Process (engineering) business.industry Computer science Computer Science - Artificial Intelligence 05 social sciences Computer Science - Human-Computer Interaction 020207 software engineering Design thinking 02 engineering and technology Materials testing Construct (python library) Human-Computer Interaction (cs.HC) Artificial Intelligence (cs.AI) User experience design Design study 0202 electrical engineering electronic engineering information engineering 0501 psychology and cognitive sciences Generative Design business Software engineering 050107 human factors Design Validation |
| Zdroj: | Conference on Designing Interactive Systems |
| Popis: | Thinking of technology as a design material is appealing. It encourages designers to explore the material's properties to understand its capabilities and limitations, a prerequisite to generative design thinking. However, as a material, AI resists this approach because its properties emerge as part of the design process itself. Therefore, designers and AI engineers must collaborate in new ways to create both the material and its application experience. We investigate the co-creation process through a design study with 10 pairs of designers and engineers. We find that design 'probes' with user data are a useful tool in defining AI materials. Through data probes, designers construct designerly representations of the envisioned AI experience (AIX) to identify desirable AI characteristics. Data probes facilitate divergent thinking, material testing, and design validation. Based on our findings, we propose a process model for co-creating AIX and offer design considerations for incorporating data probes in design tools. ACM DIS'21 pre-print |
| Databáze: | OpenAIRE |
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