The goal of this research was to develop an empirically determined measurement instrument of the compellingness of an interface. Compellingness describes how likely something is to capture attention, attract interest, and convince someone of different opinions, beliefs and actions. Overly compelling displays may cause users to under or overestimate the validity of data that is presented, leading to faulty decision making, distractions, and missed information. However, no measure currently exists to determine the level of compellingness of an interface. Literature review and a semantics survey were used to develop a pool of items that relate or contribute to compellingness, and two expert reviews of the list resulted in 28 potential questions. These 28 questions were fielded in study with a map-based task. Exploratory Factor Analysis and Cronbach’s Alpha were used on the results to eliminate questions, identify factor groupings, and quantify the amount each question loaded on the factor groupings. Additionally, the survey is organized into three factors of compellingness: human, computer, and interaction, resulting in a two-level survey. That analysis resulted in a final compellingness survey with 22 questions across six sub-factors and a final Cronbach’s Alpha value of 0.92. Measuring the underlying aspects of compellingness in an interface will enable researchers to understand the interaction between compellingness and other human factors issues such as trust, attention allocation, information quality, performance, error, and workload.
Development of a Survey Instrument to Measure Display Compellingness
2021-10-03
1615003 byte
Conference paper
Electronic Resource
English
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