Factors Impacting the Quality of User Answers on Smartphones
Workshop on Diversity-Aware Hybrid Human-Artificial Intelligence, 2023 So far, most research investigating the predictability of human behavior, such as mobility and social interactions, has focused mainly on the exploitation of sensor data. However, sensor data can be difficult to capture the subje...
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Main Authors | , |
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Format | Journal Article |
Language | English |
Published |
01.06.2023
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Subjects | |
Online Access | Get full text |
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Summary: | Workshop on Diversity-Aware Hybrid Human-Artificial Intelligence,
2023 So far, most research investigating the predictability of human behavior,
such as mobility and social interactions, has focused mainly on the
exploitation of sensor data. However, sensor data can be difficult to capture
the subjective motivations behind the individuals' behavior. Understanding
personal context (e.g., where one is and what they are doing) can greatly
increase predictability. The main limitation is that human input is often
missing or inaccurate. The goal of this paper is to identify factors that
influence the quality of responses when users are asked about their current
context. We find that two key factors influence the quality of responses: user
reaction time and completion time. These factors correlate with various
exogenous causes (e.g., situational context, time of day) and endogenous causes
(e.g., procrastination attitude, mood). In turn, we study how these two factors
impact the quality of responses. |
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Bibliography: | CEUR WORKSHOP PROCEEDINGS. CEUR-WS, 2023, 3456: 208-213 |
DOI: | 10.48550/arxiv.2306.00627 |