The serious gaming randomness in dual-purposed systems: the effect of aleatory uncertainty from the perspective of information deprivation

Purpose Randomness is prevalent in systems with hedonic features but can lead to information deprivation, which is often undesirable in serious tasks. Inappropriate levels of randomness may create feelings of unfairness among users. This paper explores the cognitive mechanisms by which randomness influences usage intention in various pre-usage states. Design/methodology/approach Adopting the perspective of information deprivation, we conducted a study with university students in a classroom setting using a serious game and collected both quantitative and qualitative data for analysis. Findings The quantitative analysis reveals that randomness negatively affects the intention to use, with this effect being mediated by perceived control and curiosity. We also show that individuals who have a strong pre-usage arousal-avoidance state are less susceptible to the negative effects of randomness. The qualitative analysis further supports these findings. Combining both analyses, we suggest that the traditional conception of a system on a utilitarian-hedonic dichotomy is not a good boundary condition for randomness-related cognitive models compared to the pre-usage arousal-avoidance state. Originality/value This study is one of the first to explore the effects of randomness in systems at various pre-usage states of users. We introduce measurement entropy to quantify randomness in system environments. It is distinctive from previous metrics because it captures only aleatory uncertainty.

Institutions

Publication Details

Journal
Internet Research
Published
2025-10-13
DOI
https://doi.org/10.1108/intr-07-2024-1100
Citations
2
Primary Topic
Financial Distress and Bankruptcy Prediction
Type
article
Field-Weighted Citation Impact
7.82
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

The serious gaming randomness in dual-purposed systems: the effect of aleatory uncertainty from the perspective of information deprivation

2 citations
Internet Research
Financial Distress and Bankruptcy Prediction
7.82
article

The serious gaming randomness in dual-purposed systems: the effect of aleatory uncertainty from the perspective of information deprivation

article en
2 citations

Abstract

Purpose Randomness is prevalent in systems with hedonic features but can lead to information deprivation, which is often undesirable in serious tasks. Inappropriate levels of randomness may create feelings of unfairness among users. This paper explores the cognitive mechanisms by which randomness influences usage intention in various pre-usage states. Design/methodology/approach Adopting the perspective of information deprivation, we conducted a study with university students in a classroom setting using a serious game and collected both quantitative and qualitative data for analysis. Findings The quantitative analysis reveals that randomness negatively affects the intention to use, with this effect being mediated by perceived control and curiosity. We also show that individuals who have a strong pre-usage arousal-avoidance state are less susceptible to the negative effects of randomness. The qualitative analysis further supports these findings. Combining both analyses, we suggest that the traditional conception of a system on a utilitarian-hedonic dichotomy is not a good boundary condition for randomness-related cognitive models compared to the pre-usage arousal-avoidance state. Originality/value This study is one of the first to explore the effects of randomness in systems at various pre-usage states of users. We introduce measurement entropy to quantify randomness in system environments. It is distinctive from previous metrics because it captures only aleatory uncertainty.

Internet ResearchVol. 36(2)
Hong Kong Polytechnic University (HK), Hong Kong Shue Yan University (CN), University of Hong Kong (HK)
Openalex Percentile: Top 3%
Financial Distress and Bankruptcy Prediction
7.82
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.