Processing inferences drawn from the logically equivalent frames half full and half empty

Ingram, J., Hand, C. and Moxey, L. M. (2014) Processing inferences drawn from the logically equivalent frames half full and half empty. Journal of Cognitive Psychology, 26(7), pp. 799-817. (doi: 10.1080/20445911.2014.956747)

Abstract

Choice-based experiments indicate that readers draw sophisticated inferences from logically equivalent frames. Readers may infer that a glass was previously full if described as currently half empty, and previously empty if described as currently half full. The information leakage framework suggests these inferences are made because information about a previous state is leaked from speaker's choice of frame. We examine if similar inferences are made during reading in two eye-tracking experiments. In Experiment 1, participants read a passage where a character describes a glass as currently half full or half empty before making a statement about the previous volume. We hypothesised that participants would infer that the glass was previously empty or full, respectively. Results suggest processing a previous volume of full is simpler regardless of the frame provided. In Experiment 2, materials were constructed to ensure inferences were based on participants' beliefs as opposed to characters'. Results support the information leakage framework; previous volumes of full and empty were processed more easily after current volumes of half empty and half full, respectively. We suggest that processing discrepancies between the two experiments are driven by word-related factors (e.g., markedness) or by participants' integration of characters' expectations.

• Item Type: Articles
• Status: Published
• Refereed: Yes
• Glasgow Author(s) Enlighten ID: Moxey, Dr Linda and Hand, Dr Christopher and Ingram, Dr Joanne
• Authors: Ingram, J., Hand, C., and Moxey, L. M.
• College/School: College of Science and Engineering > School of Psychology
• Journal Name: Journal of Cognitive Psychology
• Publisher: Taylor & Francis
• ISSN: 2044-5911
• ISSN (Online): 2044-592X
• Published Online: 18 September 2014