Handbooks of Research Methods in Management series
Edited by Fergus Lyon, Guido Möllering and Mark N.K. Saunders
Chapter 26: A voice is worth a thousand words: the implications of the micro-coding of social signals in speech for trust research
While self-report measures are often highly reliable for field research on trust (Mayer and Davis, 1999; McEvily and Tortoriello, 2011), subjects often cannot complete surveys during real time interactions. In contrast, the social signals that are embedded in the non-linguistic elements of conversations can be captured in real time and extracted with the assistance of computer coding. This chapter seeks to understand how computer-coded social signals are related to interpersonal trust. Self-report measures of trust reflect an important and often reliable tool for researchers interested in trust (Gillespie, Chapter 20 in this volume; Lewicki and Brinsfield, Chapter 4 in this volume; Mayer and Davis, 1999; McEvily and Tortoriello, 2011). However, self-report measures require subjects to stop and think about how much they trust others or are trusted by others. Researchers are not able to use these methods when subjects cannot stop to fill out surveys in real time. In our setting, medical conversations or handoffs, one member of the pair must quickly receive critical information about a patient’s current medical condition and then immediately begin caring for that patient. The rushed and technical nature of these conversations also makes qualitative research difficult because most of the social signals embedded in these conversations are non-verbal. During a transition in care, such as those we observed, medical personnel rarely stopped to relay social information verbally, making transcripts of their conversations useless for retrieving social content.
You are not authenticated to view the full text of this chapter or article.
Elgaronline requires a subscription or purchase to access the full text of books or journals. Please login through your library system or with your personal username and password on the homepage.
Non-subscribers can freely search the site, view abstracts/ extracts and download selected front matter and introductory chapters for personal use.
Your library may not have purchased all subject areas. If you are authenticated and think you should have access to this title, please contact your librarian.