Shumeng Hou

dblp:150/1960 · DBLP profile ↗
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3ranked-venue papers
1as first author
2since 2021 · last 2025
0009-0003-0004-4505ORCID · corroborated

Domains — the database's venue-derived domains; a paper can count in several

Human-computer interaction and ubiquitous computing · 2 · 2 since 2021Artificial intelligence and machine learning · 1 · 1 first-authorApplied, interdisciplinary, general and emerging computing · 1 · 1 first-author

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Human-computer interaction and pervasive computing
1 paper
Interaction techniques and input · 77% Design research and methods · 23%

Topics — the 1 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Interaction techniques and input
gesture elicitation
0.812024
Priming users with babies' gestures: Investigating the influences of priming with different development origin of image schemas in gesture elicitation study · Int. J. Hum. Comput. Stud. 2024
YearPublicationVenuePosition
2025 How can level of trust in conditional driving automation vehicles be improved? Road condition feedback strategies and the mediating role of anxiety
abstract
Conditional driving automation (CDA, Level 3) vehicles will become widespread in the next few years. The driver only needs to take over the vehicle in an emergency and pay attention to the feedback from the vehicle. However, the mechanism by which feedback strategies and drivers' emotional factors influence drivers' levels of trust in automation is not clear. This study compares the effect of three road condition feedback strategies on drivers' trust in automation: no feedback, concentrated feedback (multiple feedback messages are presented together before the takeover request is issued) and real-time feedback (the road condition messages are fed in real time based on changes in the external environment). The mediating effect of anxiety in the relationship is also examined by a within-subjects factorial simulated driving experiment (N = 41). The anxiety score was significantly lower in the real-time feedback group than in the other two groups, but the level of trust in automation was significantly higher. Furthermore, an analysis of the mediating effect showed that anxiety plays a fully mediating role in the relationship between real-time feedback and the level of trust in automation. This finding will help professionals design more trustworthy feedback strategies from a psychological perspective.
Peiyao Cheng, Shumeng Hou
Behav. Inf. Technol.4
2024 Priming users with babies' gestures: Investigating the influences of priming with different development origin of image schemas in gesture elicitation study
Yanming He, Qizhang Sun, Peiyao Cheng, Shumeng Hou
Int. J. Hum. Comput. Stud.4
2013 The effects of caregivers' instruction on children's learning in easy and difficult tasks
Shumeng Hou, Zinnia Lam, Wing Chee So
CogSci1