Human trust in artificial intelligence: Review of empirical research

E Glikson, AW Woolley - Academy of management annals, 2020 - journals.aom.org
Artificial intelligence (AI) characterizes a new generation of technologies capable of
interacting with the environment and aiming to simulate human intelligence. The success of …

Understanding and resolving failures in human-robot interaction: Literature review and model development

S Honig, T Oron-Gilad - Frontiers in psychology, 2018 - frontiersin.org
While substantial effort has been invested in making robots more reliable, experience
demonstrates that robots operating in unstructured environments are often challenged by …

Adoption of AI-based chatbots for hospitality and tourism

R Pillai, B Sivathanu - International Journal of Contemporary …, 2020 - emerald.com
Purpose This study aims to investigate the customers' behavioral intention and actual usage
(AUE) of artificial intelligence (AI)-powered chatbots for hospitality and tourism in India by …

To err is human (-oid): how do consumers react to robot service failure and recovery?

S Choi, AS Mattila, LE Bolton - Journal of Service Research, 2021 - journals.sagepub.com
Robots are the next wave in service technology; however, this advanced technology is not
perfect. This research examines how social perceptions regarding the warmth and …

The role of robots in the service industry: Factors affecting human-robot interactions

E Moriuchi, S Murdy - International Journal of Hospitality Management, 2024 - Elsevier
Robot use in the service industry has been gaining momentum, not only for potential cost
reduction reasons, but to allow establishments to improve their service quality. However …

Mirages: On anthropomorphism in dialogue systems

G Abercrombie, AC Curry, T Dinkar, V Rieser… - arxiv preprint arxiv …, 2023 - arxiv.org
Automated dialogue or conversational systems are anthropomorphised by developers and
personified by users. While a degree of anthropomorphism may be inevitable due to the …

The who in XAI: how AI background shapes perceptions of AI explanations

U Ehsan, S Passi, QV Liao, L Chan, IH Lee… - Proceedings of the …, 2024 - dl.acm.org
Explainability of AI systems is critical for users to take informed actions. Understanding who
opens the black-box of AI is just as important as opening it. We conduct a mixed-methods …

How robots influence humans: A survey of nonverbal communication in social human–robot interaction

S Saunderson, G Nejat - International Journal of Social Robotics, 2019 - Springer
As robots become more prevalent in society, investigating the interactions between humans
and robots is important to ensure that these robots adhere to the social norms and …

I'm not a puppet, I'ma real boy! Gender presentations by virtual influencers and how they are received

YH Lee, CWT Yuan - Computers in Human Behavior, 2023 - Elsevier
Virtual influencers, or computer-generated virtual characters, have attracted numerous
followers on social media like Instagram with their unconstrained physical bodies and …

Automated rationale generation: a technique for explainable AI and its effects on human perceptions

U Ehsan, P Tambwekar, L Chan, B Harrison… - Proceedings of the 24th …, 2019 - dl.acm.org
Automated rationale generation is an approach for real-time explanation generation
whereby a computational model learns to translate an autonomous agent's internal state …