Anthropomorphic User Interfaces
Together with Eva Geurts, we explored Anthropomorphic User Interfaces (AUIs) and created a taxonomy that helps us to analyze, identify, and design appropriate AUIs. The paper is available here, and
our interactive tool that helps you to find related resources for specific aspects from our technology is available at this URL: https://anthropomorphic-ui.onrender.com.
Citation
@inproceedings{geurtsantropomorphic2024,
title = {Anthropomorphic User Interfaces: Past, Present and Future of
Anthropomorphic Aspects for Sustainable Digital Interface Design},
author = {Eva Geurts and Kris Luyten},
booktitle = {Proceedings of the European Conference on Cognitive Ergonomics 2024},
articleno = {31},
numpages = {7},
keywords = {Anthropomorphism, Human-like interfaces, Taxonomy, User interface design},
location = {Paris, France},
series = {ECCE '24},
year = {2024},
publisher = {Association for Computing Machinery},
url={https://anthropomorphic-ui.onrender.com},
doi = {10.1145/3673805.3673831},
isbn = {9798400718243}
}
Abstract
Interactions with computing systems and conversational services such as ChatGPT have become an inherent part of our daily lives. It is surprising that user interfaces, the gateways through which we communicate with an interactive intelligent system, are still predominantly devoid of hedonic aspects. There is little attempt to make communication through user interfaces intentionally more like communication with humans. Anthropomorphic user interfaces can transform interactions with intelligent software into more pleasant experiences by integrating human-like attributes. Anthropomorphic user interfaces expose human-like attributes that enable people to perceive, connect, and interact with the interfaces as social actors. This integration of human-like aspects not only enhances user experience but also holds the potential to make interfaces more sustainable, as they rely on familiar human interaction patterns, thus potentially reducing the learning curve and increasing user adoption rates. However, there is little consensus on how to build these anthropomorphic user interfaces. We conducted an extensive literature review on existing anthropomorphic user interfaces for software systems (past), in order to map and connect existing definitions and interpretations in an overarching taxonomy (present). The taxonomy is used to organize and structure examples of anthropomorphic user interfaces into an accessible collection. The taxonomy and an accompanying web tool provide designers with a reference framework for analyzing and dissecting existing anthropomorphic user interfaces, and for designing new anthropomorphic user interfaces (future).
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