AI-based Technologies for Everyone: How and Why to Adapt Voice Assistants’ Complexity to Older Adults
Rzepka Christine, Berger Benedikt, Tams Stefan
Zusammenfassung
Technological advancements in the area of artificial intelligence have
rapidly improved the performance of speech recognition and natural
language processing. These improvements have facilitated the
proliferation of voice assistants (VAs), which can understand human
speech and provide spoken answers to assist in various tasks. More and
more individuals and organizations adopt VAs because they value the
naturalness of speech interaction. However, speech interaction is of
ephemeral nature and processed in sequential order, which puts cognitive
load on the user. Therefore, we investigate the relationship between
the complexity of speech interaction and the interaction outcomes
enjoyment, satisfaction, and intention to explore. Our results show that
this relationship has an inverted U-shape for people with above-median
information processing speed (i.e., younger adults) but is negatively
linear otherwise. The results contribute to the literature on interface
complexity and on the use of IT systems by the elder.
Schlüsselwörter
voice assistants; speech interaction; age; information processing speed