Industry 5.0: A survey on enabling technologies and potential applications

I, Chatbot: Modeling the determinants of users’ satisfaction and continuance intention of AI-powered service agents

What makes an AI device human-like? The role of interaction quality, empathy and perceived psychological anthropomorphic characteristics in the acceptance of artificial intelligence in the service industry

Chatbots’ growing popularity has brought new challenges to HCI, having changed the patterns of human interactions with computers. The increasing need to approximate conversational interaction style...

How Should My Chatbot Interact? A Survey on Social Characteristics in Human–Chatbot Interaction Design

In bot we trust: A new methodology of chatbot performance measures

In the shades of the uncanny valley: An experimental study of human–chatbot interaction

Cobots in knowledge work: Human – AI collaboration in managerial professions

We have conducted an observational study on persons participating passively in public lectures. During a lecture we were measuring the level of focus of listeners using the Muse EEG-headband as well as conducting an observational study of the usage of the device by experiment participants. The purpose was twofold: to understand to what extent commercially available portable EEG-devices can record synchronicity of experience among the audience and to check what kind of usage participants make of this multi-purpose device. While we got some preliminary insights, we found that the usefulness in measuring EEG signal of consumer-grade devices such as Muse is extremely limited in non-laboratory conditions.

Muse Headband: Measuring Tool or a Collaborative Gadget?

Our research is carried out in the context of the ongoing process of introducing artificial intelligence in the area of social interaction with people, with a particular emphasis on interactions in the professional sphere. In this paper, we provide an overview of methods used so far in researching human-bot interaction. We describe the methodology behind our experiment using electromyography as well as other psychophysiological data and a detailed set of questionnaires focused on assessing interactions and willingness to collaborate with a bot. Our purpose is to thoroughly examine the character of the human/non-human interaction process.

Leon Ciechanowski

Papers

In the shades of the uncanny valley: An experimental study of human–chatbot interaction

In bot we trust: A new methodology of chatbot performance measures

Cobots in knowledge work: Human – AI collaboration in managerial professions

Muse Headband: Measuring Tool or a Collaborative Gadget?

The Necessity of New Paradigms in Measuring Human-Chatbot Interaction