Demo Data from SIGIR 2026 / reviewers in the wild / expert
Annigna Hasler
dblp:283/5858
· DBLP profile ↗
1ranked-venue papers
0as first author
1since 2021 · last 2021
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Human-computer interaction and ubiquitous computing · 1 · 1 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
1 paper |
Usability and user experience research · 100% |
Topics — the 3 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Usability and user experience research
psychometric evaluation |
0.5 | 1 | 2021 | Questionnaire experience and the hybrid System Usability Scale: Using a novel concept to evaluate a new instrument · Int. J. Hum. Comput. Stud. 2021 |
Usability and user experience research › usability evaluation
questionnaire-based usability assessment |
0.5 | 1 | 2021 | Questionnaire experience and the hybrid System Usability Scale: Using a novel concept to evaluate a new instrument · Int. J. Hum. Comput. Stud. 2021 |
Usability and user experience research
usability evaluation |
0.5 | 1 | 2021 | Questionnaire experience and the hybrid System Usability Scale: Using a novel concept to evaluate a new instrument · Int. J. Hum. Comput. Stud. 2021 |
Methods — techniques the papers use, named apart from their topics
psychometric validation · 0.5online experiment · 0.5
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2021 | Questionnaire experience and the hybrid System Usability Scale: Using a novel concept to evaluate a new instrumentabstractThis article presents the concept of questionnaire experience (QX), intending to add a new element to the psychometric evaluation of questionnaires, which may eventually help increase the validity and reliability of instruments. The application of QX is demonstrated in the development of the Hybrid System Usability Scale (H-SUS), making use of items comprising pictorial and verbal elements to measure perceived usability. The H-SUS was modelled on the verbal version of the System Usability Scale (SUS). Since previous research showed advantages of pictorial scales over verbal scales (e.g., higher respondent motivation) but also disadvantages (e.g., longer completion times), we assumed that hybrid scales would combine the advantages of both scale types. The goal of this study was to compare the two instruments by assessing traditional psychometric criteria (convergent, divergent and criterion-related validity, reliability and sensitivity) and respondent-related aspects of QX (respondent workload, respondent motivation, questionnaire preference, and questionnaire completion time). An online experiment was carried out (N = 152), in which participants interacted with a smartphone prototype and subsequently completed the verbal SUS together with the H-SUS. Results indicate good psychometric properties of the H-SUS. Compared to the SUS, the H-SUS showed similar workload levels for questionnaire completion, higher levels of respondent motivation, but longer questionnaire completion time. Overall, the H-SUS is considered a promising alternative for the evaluation of perceived usability. Finally, QX can be considered a useful concept for identifying potential problems of psychometric instruments in a respondent-centred way, which may help improve the quality of future scales. Jürgen Baumgartner, Nicole Ruettgers, Annigna Hasler, Andreas Sonderegger, Jürgen S. Sauer |
Int. J. Hum. Comput. Stud. | 3 |