TY - JOUR
T1 - AI-assisted Design for Better Privacy Communication in Human-robot Co-existence
AU - Autto, Hilja
AU - Haapio, Helena
AU - Weng, Yueh-Hsuan
N1 - Publisher Copyright:
© 2024 Editions Weblaw. All rights reserved.
PY - 2024/4
Y1 - 2024/4
N2 - Information design focuses on making communication as effective and understandable as possible. Using elements such as plain language and design patterns it has proven successful in various contexts, including legal communication. Generative AI tools such as ChatGPT can help make the design process more efficient. This paper explores how these tools can be used to improve privacy-related communication, with a particular focus on human-robot interactions. To demonstrate the possibilities, we used OpenAI’s ChatGPT and DeepL Write to create the conversational text of a wireframe sketch for a human-friendly privacy policy for RoBot, a (fictional) friendly and playful social robot.
AB - Information design focuses on making communication as effective and understandable as possible. Using elements such as plain language and design patterns it has proven successful in various contexts, including legal communication. Generative AI tools such as ChatGPT can help make the design process more efficient. This paper explores how these tools can be used to improve privacy-related communication, with a particular focus on human-robot interactions. To demonstrate the possibilities, we used OpenAI’s ChatGPT and DeepL Write to create the conversational text of a wireframe sketch for a human-friendly privacy policy for RoBot, a (fictional) friendly and playful social robot.
KW - artificial intelligence
KW - Information Design
KW - Social Robots
KW - privacy
KW - human-robot interaction
KW - generative ai
KW - Privacy Communication
KW - Generative AI
KW - Artificial Intelligence
KW - Human-robot Interaction
UR - https://jusletter-it.weblaw.ch/issues/2024/24-April-2024/ai-assisted-design-f_e20c15dbb6.html__ONCE&login=false
UR - https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4732563
UR - https://www.scopus.com/pages/publications/85196421531
UR - https://www.scopus.com/inward/citedby.url?scp=85196421531&partnerID=8YFLogxK
U2 - 10.38023/0106862c-fb82-4030-b75d-830d8cf7d76b
DO - 10.38023/0106862c-fb82-4030-b75d-830d8cf7d76b
M3 - Article
SN - 1664-848X
JO - Jusletter IT
JF - Jusletter IT
IS - April 24
T2 - International Legal Informatics Symposium IRIS
Y2 - 14 February 2024 through 17 February 2024
ER -