Demo Data from SIGIR 2026 / reviewers in the wild / expert
Tianzheng Shi
dblp:345/0015
· DBLP profile ↗
2ranked-venue papers
1as first author
2since 2021 · last 2025
0000-0002-7044-8180ORCID · corroborated
Domains — the database's venue-derived domains; a paper can count in several
Human-computer interaction and ubiquitous computing · 2 · 1 first-author · 2 since 2021
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
2 papers |
Haptics and multimodal interaction · 66% Usability and user experience research · 34% |
Topics — the 3 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Haptics and multimodal interaction › haptics
haptic experience |
1.5 | 2 | 2025 | Development and Initial Validation of the Haptic Experience Inventory (HXI) · CHI 2025 Factors of Haptic Experience across Multiple Haptic Modalities · CHI 2023 |
Usability and user experience research › psychometric evaluation
questionnaire validation |
0.9 | 1 | 2025 | Development and Initial Validation of the Haptic Experience Inventory (HXI) · CHI 2025 |
Haptics and multimodal interaction › haptic feedback
vibrotactile feedback |
0.2 | 1 | 2023 | Factors of Haptic Experience across Multiple Haptic Modalities · CHI 2023 |
Methods — techniques the papers use, named apart from their topics
validation study · 0.9inventory development · 0.9user study · 0.7exploratory factor analysis · 0.7confirmatory factor analysis · 0.7
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2025 | Development and Initial Validation of the Haptic Experience Inventory (HXI)
Tianzheng Shi, Oliver Schneider 0006 |
CHI | 1 |
| 2023 | Factors of Haptic Experience across Multiple Haptic ModalitiesabstractHaptic Experience (HX) is a proposed set of quality criteria useful to haptics, with prior evidence for a 5-factor model with vibrotactile feedback. We report on an ongoing process of scale development to measure HX, and explore whether these criteria hold when applied to more diverse devices, including vibrotactile, force feedback, surface haptics, and mid-air haptics. From an in-person user study with 430 participants, exploratory factor analysis (EFA), and confirmatory factor analysis (CFA), we extract an 11-item and 4-factor model (Realism, Harmony, Involvement, Expressivity) with only a partial overlap to the previous model. We compare this model to the previous vibrotactile model, finding that the new 4-factor model is more generalized and can guide attributes or applications of new haptic systems. Our findings suggest that HX may vary depending on the modalities used in an application, but these four factors are general constructs that might overlap with modality-specific concepts of HX. These factors can inform designers about the right quality criteria to use when designing or evaluating haptic experiences for multiple modalities. Tianzheng Shi, Oliver Schneider 0006 |
CHI | 2 |