Then there's the human component: People interpret identical emojis differently. In her comments, Miller pointed out that some scholars argue that emoji use represents a seismic shift in language, so understanding its role in human communication is important in developing the next generation of technology. That might disambiguate and obviate the problem, she said about context. We found that in many cases, there is quite a bit of potential for miscommunication, Miller wrote. In her comments, Miller pointed out that some scholars argue that emoji use represents a seismic shift in language, so understanding its role in human communication is important in developing the next generation of technology. Miller said she researches human-computer interaction, studying how to design technology to improve quality of life and social interaction. The study involved 304 people in various pairings to replicate how reactions would differ in two-way conversations. University of Minnesota researchers have found that anthropomorphic emojis, like language, can get lost in translation, causing significant misunderstandings. For example, the grinning face with smiling eyes from Apple's iPhone to a Windows phone, Samsung, LG or Nexus, is sent as mildly negative emoji but will be received as a relatively positive one, the study found. In her comments, Miller pointed out that some scholars argue that emoji use represents a seismic shift in language, so understanding its role in human communication is important in developing the next generation of technology. Researchers had recipients rank the emojis on a scale of negative 5 to positive 5 in terms of emotional response. People also described emojis differently. In her comments, Miller pointed out that some scholars argue that emoji use represents a seismic shift in language, so understanding its role in human communication is important in developing the next generation of technology. Hannah Miller, a third-year doctoral student, is part of the university's GroupLens research lab and posted the findings on the GroupLens blog. Hannah Miller, a third-year doctoral student, is part of the university s GroupLens research lab and posted the findings on the GroupLens blog.