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The disposition effect in a scopic regime: Data from a laboratory experiment.

ABSTRACT: This article presents a new dataset on the disposition effect in a scopic regime, collected in a laboratory experiment reported in "Framing and the disposition effect in a scopic regime" [6]. 81 subjects were recruited and asked to participate in an incentivized stock trading game insprired by Weber and Camerer [7], which was computerized, programmed using oTree [1]. Subjects were able to monitor the trading performance of randomly selected peers in comparison to their own performance. Two sets of rankings were employed to display the comparisons. The data allow to test theories on the impact of social comparisons on investors' decision making.

SUBMITTER: Lieu ML

PROVIDER: S-EPMC7256287 | biostudies-literature | 2020 Aug

REPOSITORIES: biostudies-literature

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The disposition effect in a scopic regime: Data from a laboratory experiment.

Liêu Minh-Lý ML Pelster Matthias M

Data in brief 20200512

This article presents a new dataset on the disposition effect in a scopic regime, collected in a laboratory experiment reported in "Framing and the disposition effect in a scopic regime" [6]. 81 subjects were recruited and asked to participate in an incentivized stock trading game insprired by Weber and Camerer [7], which was computerized, programmed using oTree [1]. Subjects were able to monitor the trading performance of randomly selected peers in comparison to their own performance. Two sets ...[more]

PMID: 32490067

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Project description:BackgroundRecent advances in natural language processing and artificial intelligence have led to widespread adoption of speech recognition technologies. In consumer health applications, speech recognition is usually applied to support interactions with conversational agents for data collection, decision support, and patient monitoring. However, little is known about the use of speech recognition in consumer health applications and few studies have evaluated the efficacy of conversational agents in the hands of consumers. In other consumer-facing tools, cognitive load has been observed to be an important factor affecting the use of speech recognition technologies in tasks involving problem solving and recall. Users find it more difficult to think and speak at the same time when compared to typing, pointing, and clicking. However, the effects of speech recognition on cognitive load when performing health tasks has not yet been explored.ObjectiveThe aim of this study was to evaluate the use of speech recognition for documentation in consumer digital health tasks involving problem solving and recall.MethodsFifty university staff and students were recruited to undertake four documentation tasks with a simulated conversational agent in a computer laboratory. The tasks varied in complexity determined by the amount of problem solving and recall required (simple and complex) and the input modality (speech recognition vs keyboard and mouse). Cognitive load, task completion time, error rate, and usability were measured.ResultsCompared to using a keyboard and mouse, speech recognition significantly increased the cognitive load for complex tasks (Z=-4.08, P<.001) and simple tasks (Z=-2.24, P=.03). Complex tasks took significantly longer to complete (Z=-2.52, P=.01) and speech recognition was found to be overall less usable than a keyboard and mouse (Z=-3.30, P=.001). However, there was no effect on errors.ConclusionsUse of a keyboard and mouse was preferable to speech recognition for complex tasks involving problem solving and recall. Further studies using a broader variety of consumer digital health tasks of varying complexity are needed to investigate the contexts in which use of speech recognition is most appropriate. The effects of cognitive load on task performance and its significance also need to be investigated.

Dataset Information

The disposition effect in a scopic regime: Data from a laboratory experiment.

Publications

The disposition effect in a scopic regime: Data from a laboratory experiment.

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