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Paper Number
1924
Paper Type
short
Description
Action Identification Theory proposes that individuals perceive their actions at different levels of abstraction and how this perception can significantly impact their behavior. The paper argues that prompting users to shift between different levels of action identification during their interaction with an information system can improve their performance. The experimental work includes a laboratory experiment and a think-aloud study that explores the effect of users' attention to different levels of action identification and the cognitive fit between on-screen representation and mental models on performance improvement. The discussion analyzes the results and outlines future research plans and expected contributions to the field. This study highlights the importance of considering the user's cognitive processes when designing information systems and suggests potential ways to enhance their performance.
Recommended Citation
Tzur, Aviram; Te’Eni, Dov; and Zalmanson, Lior, "Improving Performance by Encouraging Users to Consider Different Levels of Action Identification (LAI)" (2023). ICIS 2023 Proceedings. 3.
https://aisel.aisnet.org/icis2023/user_behav/user_behav/3
Improving Performance by Encouraging Users to Consider Different Levels of Action Identification (LAI)
Action Identification Theory proposes that individuals perceive their actions at different levels of abstraction and how this perception can significantly impact their behavior. The paper argues that prompting users to shift between different levels of action identification during their interaction with an information system can improve their performance. The experimental work includes a laboratory experiment and a think-aloud study that explores the effect of users' attention to different levels of action identification and the cognitive fit between on-screen representation and mental models on performance improvement. The discussion analyzes the results and outlines future research plans and expected contributions to the field. This study highlights the importance of considering the user's cognitive processes when designing information systems and suggests potential ways to enhance their performance.
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21-UserBehavior