Transferability of Token Usage Rights: A Design Space Analysis of Generative AI Services

📅 2026-04-29
📈 Citations: 0
Influential: 0
📄 PDF
🤖 AI Summary
Current generative AI platforms strictly bind user-purchased tokens to specific timeframes, accounts, and services, significantly limiting usage flexibility. Drawing on MacLean et al.’s (1991) design space analysis framework, this study systematically examines the terms of service of ChatGPT, Claude, Gemini, and Grok, reconceptualizing tokens not merely as techno-economic units but as a design element for user empowerment. The work introduces the concept of “token usage transferability” and identifies five design axes—Target, Direction, Unit, Control, and Reversibility—defining five distinct types of transferability: carry-over, co-management, transfer, conversion, and trade. This framework offers a systematic design blueprint to enhance user autonomy in generative AI ecosystems.
📝 Abstract
With the rapid spread of generative AI services, the token has gained value not only as a technical unit of language processing but also as an economic currency for accessing AI services. Major AI model providers have adopted token-based billing as their default service model, requiring users to purchase platform-bound, fixed token usage rights. However, the fixedness of these usage rights is grounded in the billing-policy decisions of service providers rather than in any technical necessity. This study defines the Transferability of token usage rights as a design property that allows users to flexibly reallocate purchased data resources free from the constraints of time, account, and service. Drawing on the Design Space Analysis framework of MacLean et al. (1991), we identify five design axes (Target, Direction, Unit, Control, Reversibility) and five concrete Transferability types (carry-over, co-management, transfer, conversion, and trade) by analyzing the billing policies and terms of service of four major LLM services (ChatGPT, Claude, Gemini, Grok). Our analysis reframes the token from a purely economic-technical primitive into a core element of user-centered system design that expands user choice and autonomy.
Problem

Research questions and friction points this paper is trying to address.

token transferability
generative AI services
usage rights
design space analysis
user autonomy
Innovation

Methods, ideas, or system contributions that make the work stand out.

Transferability
Token usage rights
Design Space Analysis
Generative AI services
User autonomy
💼 Related Jobs
No related jobs found.
J
Jaeyong Lee
Department of Design and Craft, Visual Communication Design, Graduate School, Hongik University
H
Heeju Kang
Department of Design, International Design School for Advanced Studies (IDAS), Hongik University
A
Ahra Cho
Department of Digital Media Design, International Design School for Advanced Studies (IDAS), Hongik University
B
Baek Eunkyung
Department of Design, International Design School for Advanced Studies (IDAS), Hongik University