What I Don’t Like about You?: A Systematic Review of Impeding Aspects for the Usage of Conversational Agents

Author:

Hennekeuser Darius1,Vaziri Daryoush1,Golchinfar David1,Stevens Gunnar2

Affiliation:

1. University of Applied Sciences Bonn-Rhein-Sieg , Department of Business Administration, Grantham-Allee 20, 53757 Sankt Augustin, Germany

2. University of Siegen , Department of IT-Security, Adolf-Reichwein-Straße 2a, 57076 Siegen, Germany

Abstract

Abstract The application and use cases for conversational agents (CAs) are versatile. Smart speakers such as Alexa and Google Home are used in smart home environments, digital agents are integrated into car systems and chatbots are increasingly used in customer service processes. However, human–computer interaction researchers identify and investigate a wide-ranging variety of aspects impeding the usage of CAs by end-users. In general, impediments differ depending on use case contexts, user group characteristics and the CA’s technological infrastructure. Hence, it is difficult and often ambiguous for designers and developers to generate an appropriate awareness about aspects impeding CA usage. We address this problem, by conducting a systematic review of 65 publications surveying impeding aspects of the usage of CAs.

Publisher

Oxford University Press (OUP)

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