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Humane Anthropomorphic Agents : the Quest for the Outcome Measure

Title data

André, Elisabeth ; Bayer, Sarah ; Benke, Ivo ; Benlian, Alexander ; Cummins, Nicholas ; Gimpel, Henner ; Hinz, Oliver ; Kersting, Kristian ; Mädche, Alexander ; Muehlhaeuser, Max ; Riemann, Jan ; Schuller, Björn ; Weber, Klaus:
Humane Anthropomorphic Agents : the Quest for the Outcome Measure.
Event: AIS SIGPrag 2019 pre-ICIS workshop "Values and Ethics in the Digital Age" .
(Conference item: Workshop , Speech )

Official URL: Volltext

Abstract in another language

Artificial intelligence has become an integral part of our daily lives. Today, we engage with intelligent agents at home, on the street, and at work. Rapid advances in technological capabilities make such intelligent agents increasingly human-like. Anthropomorphic agents are characterized by a high degree of socialness, intelligence, and efficiency. They afford many opportunities (e.g., convenience, availability, automation) yet also bring along potential negative impacts on human users, such as uninformed decision making, loss of control, or intransparency. Thus, anthropomorphic agents mark a new quality of human-computer interaction that should consider values and ethics in their design process and outcome. However, typical outcomes to measure the quality of an intelligent agent from a user-centric perspective are limited to accessibility, usability, or user experience. In this position paper, we argue that in the design of anthropomorphic agents, we need to go beyond established HCI measures and propose a new outcome measure called “humaneness”.

Further data

Item Type: Conference item (Speech)
Refereed: Yes
Keywords: Anthropomorphism; Intelligent Agents; Humane Information Systems; Transparency; Human Autonomy
Institutions of the University: Faculties > Faculty of Law, Business and Economics > Department of Business Administration
Research Institutions
Research Institutions > Affiliated Institutes
Research Institutions > Affiliated Institutes > Fraunhofer Project Group Business and Information Systems Engineering
Research Institutions > Affiliated Institutes > FIM Research Center Finance & Information Management
Faculties > Faculty of Law, Business and Economics
Result of work at the UBT: No
DDC Subjects: 000 Computer Science, information, general works > 004 Computer science
300 Social sciences > 330 Economics
Date Deposited: 11 Dec 2019 09:58
Last Modified: 29 Sep 2022 11:46