KINOSHITA Yuichiro, a second-year master’s student on the Frontier Media Science Program, Graduate School of Advanced Mathematical Sciences, received the Student Encouragement Award and the HCI Study Group Contribution Award at the Special Interest Group on Human-Computer Interaction, the Information Processing Society of Japan.
Student Encouragement Award
Title: “Deceptive Patterns in Speech Selection Among Non-Native Speakers: An Examination of the Influence of Pronunciation Ease on Choice in English Alternatives”
Dark patterns that distort people’s choices and cause them harm are becoming increasingly widespread. Noting that such dark patterns might also exist in voice-based interfaces such as smart speakers, KINOSHITA investigated whether choices are distorted, particularly in situations where non-native English speakers are selecting speech options in English. Furthermore, the experiment revealed that options with lower ease of pronunciation are less likely to be selected.
KINOSHITA plans to continue identifying dark patterns centered on voice input and output and to raise public awareness of these issues.
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HCI Study Group Contribution Award
This award is given to individuals who have presented three different research papers over the course of a year; KINOSHITA received the award for the following three papers:
“Verification of the Utility of Human-AI Collaborative Annotation and the Impact of AI Prediction Timing on Human Label Decisions”
“Deceptive Patterns in Speech Selection Among Non-Native Speakers: An Examination of the Influence of Pronunciation Ease on Choice in English Alternatives”
“Deceptive Patterns in Speech Perception: Verification of the Possibility of Inducing Choice in Non-Native Speakers Through Manipulation of Speech Rate”
The first study examined how the timing of AI intervention during annotation tasks influences human judgment. The second and third studies examined dark patterns in voice-based input and output interfaces, revealing how non-native English speakers are influenced in their choices regarding speech and listening. KINOSHITA plans to build on this series of studies to comprehensively identify dark patterns in voice-based speech and listening interfaces.
