Adaptive language behavior in HCI: how expectations and beliefs about a system affect users' word choice

  • Authors:
  • Jamie Pearson;Jiang Hu;Holly P. Branigan;Martin J. Pickering;Clifford I. Nass

  • Affiliations:
  • University of Edinburgh, Edinburgh, UK;Stanford University, Stanford, CA;University of Edinburgh, Edinburgh, UK;University of Edinburgh, Edinburgh, UK;Stanford University, Stanford, CA

  • Venue:
  • Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
  • Year:
  • 2006

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Abstract

People display adaptive language behaviors in face-to-face conversations, but will computer users do the same during HCI? We report an experiment (N=20) demonstrating that users' use of language (in terms of lexical choice) is influenced by their beliefs and expectations about a system: When users believe that the system is unsophisticated and restricted in capability, they adapt their language to match the system's language more than when they believe the system is relatively sophisticated and capable. Moreover, this tendency is based entirely on users' expectations about the system; it is unaffected by the actual behavior that the system exhibits. Our results demonstrate that interface design engenders particular beliefs in users about a system's capabilities, and that these beliefs can determine the extent to which users adapt to the system. We argue that such effects can be leveraged to improve the quality and effectiveness of human-computer interactions.