Evaluating the adequacy of emoji use in positive and negative messages from close and distant senders

Computer-mediated communication allows people to communicate across several contexts (e.g., friends, professional settings) by using video-based or text-based channels. In the latter case, communication lacks nonverbal cues (e.g., tone of voice) that are critical to message interpretation. Including emoji can help express emotion and reinforce or clarify the meaning of a message. However, the benefits of using emoji are likely to depend on the context (e.g., the relationship between interlocutors) and the messages' features (e.g., the valence of the message). To date, studies have not systematically and empirically examined how the use of emoji is perceived across different communication scenarios. In the current study, we asked 175 participants (49.5 percent women; Mage = 36.32, SD = 12.22) to imagine receiving either a negative or a positive message from 22 senders (e.g., friend; bank manager) and to indicate, for each case, how much they would like to receive an emoji and how useful and appropriate they considered the use of emoji. These ratings were combined into a single index of emoji use adequacy. Based on factor analysis, the 22 scenarios were aggregated in distant and close scenarios. Overall, results showed that participants considered emoji use more inadequate in distant (vs. close) scenarios and for negative (vs. positive) messages. These findings suggest that the perceived benefits of emoji use for text-based communication may not be generalized to all text-based communication contexts, such that relationship proximity and message valence should not be overlooked. Implications for the fields of consumer psychology and communication are discussed.info:eu-repo/semantics/acceptedVersio

Interacting with educational chatbots: A systematic review

Chatbots hold the promise of revolutionizing education by engaging learners, personalizing learning activities, supporting educators, and developing deep insight into learners’ behavior. However, there is a lack of studies that analyze the recent evidence-based chatbot-learner interaction design techniques applied in education. This study presents a systematic review of 36 papers to understand, compare, and reflect on recent attempts to utilize chatbots in education using seven dimensions: educational field, platform, design principles, the role of chatbots, interaction styles, evidence, and limitations. The results show that the chatbots were mainly designed on a web platform to teach computer science, language, general education, and a few other fields such as engineering and mathematics. Further, more than half of the chatbots were used as teaching agents, while more than a third were peer agents. Most of the chatbots used a predetermined conversational path, and more than a quarter utilized a personalized learning approach that catered to students’ learning needs, while other chatbots used experiential and collaborative learning besides other design principles. Moreover, more than a third of the chatbots were evaluated with experiments, and the results primarily point to improved learning and subjective satisfaction. Challenges and limitations include inadequate or insufficient dataset training and a lack of reliance on usability heuristics. Future studies should explore the effect of chatbot personality and localization on subjective satisfaction and learning effectiveness