The recent rise of conversational interfaces have made it possible to integrate this technology into various domains, among which is health. Dialogue systems and conversational agents can bring a lot into healthcare to reduce cost, increase efficiency and provide continuing care, albeit its infancy and complexity about building natural dialogues. However, the design guidelines to design dialogues for conversational agents are usually based on common knowledge, and less frequently on empirical evidence. For example, the use of emojis in conversational agent dialogues is still a debated issue, and the added value of adding such graphical elements is mainly anecdotal. In this work, we present an empirical study comparing users feedback when interacting with chatbot applications that use different dialogue styles, i.e., plain text or text with emoji, when asking different health related questions. The analysis found that when participants had to score an interaction with a chatbot that asks personal questions on their mental wellbeing, they rated the interaction with higher scores with respect to enjoyment, attitude and confidence. Differently, participants rated with lower scores a chatbot that uses emojis when asking information on their physical wellbeing compared to a dialogue with plain text. We believe this work can contribute to the research on integrating conversational agents in the health and wellbeing context and can serve as a guidance in the design and development of interfaces for text-based dialogue systems. CCS CONCEPTS • Human-centered computing → Visualization design and evaluation methods;
Providing recommendations to users evolving in physical spaces has been a research trend since a few years now, especially with the rise of recommending engines dedicated to cultural heritage spaces like museums or tourism. The evolution of our civilisation towards more and more pervasiveness of technology in our environment leads to define the spaces in which human-being evolve as Cyber-Physical-Social Systems (CPSS), in which humans cohabit with sensors, actuators, IT devices or robots, all of these entities interacting together. In this position paper, we formalised the recommendation problem in physical spaces from the general perspective of CPSS, introducing its multiple dimensions.
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