Voice in human–agent interaction: A survey

K Seaborn, NP Miyake, P Pennefather… - ACM Computing …, 2021 - dl.acm.org
Social robots, conversational agents, voice assistants, and other embodied AI are
increasingly a feature of everyday life. What connects these various types of intelligent …

Understanding the design elements affecting user acceptance of intelligent agents: Past, present and future

E Elshan, N Zierau, C Engel, A Janson… - Information Systems …, 2022 - Springer
Intelligent agents (IAs) are permeating both business and society. However, interacting with
IAs poses challenges moving beyond technological limitations towards the human-computer …

On the design of and interaction with conversational agents: An organizing and assessing review of human-computer interaction research

S Diederich, AB Brendel, S Morana… - Journal of the Association …, 2022 - aisel.aisnet.org
Conversational agents (CAs), described as software with which humans interact through
natural language, have increasingly attracted interest in both academia and practice …

Towards mutual theory of mind in human-ai interaction: How language reflects what students perceive about a virtual teaching assistant

Q Wang, K Saha, E Gregori, D Joyner… - Proceedings of the 2021 …, 2021 - dl.acm.org
Building conversational agents that can conduct natural and prolonged conversations has
been a major technical and design challenge, especially for community-facing …

A systematic review of voice assistant usability: An ISO 9241–11 approach

FLI Dutsinma, D Pal, S Funilkul, JH Chan - SN computer science, 2022 - Springer
Voice assistants (VA) are an emerging technology that have become an essential tool of the
twenty-first century. The VA ease of access and use has resulted in high usability curiosity in …

Measuring voice UX quantitatively: A rapid review

K Seaborn, J Urakami - Extended abstracts of the 2021 CHI conference …, 2021 - dl.acm.org
Computer voice is experiencing a renaissance through the growing popularity of voice-
based interfaces, agents, and environments. Yet, how to measure the user experience (UX) …

[PDF][PDF] A Review of the Empirical Literature on Conversational Agents and Future Research Directions.

N Zierau, E Elshan, C Visini, A Janson - ICIS, 2020 - pubs.wi-kassel.de
The knowledge base related to user interaction with conversational agents (CAs) has grown
dramatically but remains segregated. In this paper, we conduct a systematic literature review …

Verbal anthropomorphism design of social robots: investigating users' privacy perception

H Chung, H Kang, S Jun - Computers in Human Behavior, 2023 - Elsevier
Many studies on the anthropomorphism of social robots have revealed two aspects of
anthropomorphism in human–robot interaction. The first is that humanlike robots have …

Learning agent-based modeling with LLM companions: Experiences of novices and experts using ChatGPT & NetLogo chat

J Chen, X Lu, Y Du, M Rejtig, R Bagley… - Proceedings of the CHI …, 2024 - dl.acm.org
Large Language Models (LLMs) have the potential to fundamentally change the way people
engage in computer programming. Agent-based modeling (ABM) has become ubiquitous in …

Alexa as an active listener: how backchanneling can elicit self-disclosure and promote user experience

E Cho, N Motalebi, SS Sundar, S Abdullah - Proceedings of the ACM on …, 2022 - dl.acm.org
Active listening is a well-known skill applied in human communication to build intimacy and
elicit self-disclosure to support a wide variety of cooperative tasks. When applied to …