Demo Data from SIGIR 2026 / reviewers in the wild / expert
Jo Ann G. Sison
dblp:05/36
· DBLP profile ↗
2ranked-venue papers
0as first author
0since 2021 · last 2013
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Human-computer interaction and ubiquitous computing · 2
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 |
Accessibility and assistive technology · 44% Usability and user experience research · 44% Health and well-being technologies · 13% |
Topics — the 3 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Accessibility and assistive technology
auditory interface |
0.1 | 1 | 2009 | Bringing design considerations to the mobile phone and driving debate · CHI 2009 |
Usability and user experience research › safety-critical interaction
driver distraction |
0.1 | 1 | 2009 | Bringing design considerations to the mobile phone and driving debate · CHI 2009 |
Health and well-being technologies
driving safety |
0.0 | 1 | 2009 | Bringing design considerations to the mobile phone and driving debate · CHI 2009 |
Methods — techniques the papers use, named apart from their topics
driving simulation · 0.1between-participants experiment · 0.1
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2013 | International evaluation of NLU benefits in the domain of in-vehicle speech dialog systemsabstractAn in-vehicle speech dialog system (SDS) can support visualhaptic interfaces and reduce eyes-off-road time while driving. This work evaluates two SDS that varied according to the degree of natural language understanding afforded by the speech dialog system. In a Wizard of Oz simulation, two alternative SDSs were tested in a driving simulator. The Lane Change Test was used to compare a command and control system with a system supporting natural language input. This driving simulator study was conducted using the same setup in Germany, USA, and China. 40 participants per country were instructed to perform interaction tasks from contexts like media, telephone, and navigation. The results show that natural language SDS could lead to a faster and more intuitive way of interacting with in-vehicle SDS. US and Chinese users especially preferred the natural language enabled system over the command and control system. Linn Hackenberg, Sara Bongartz, Christian Härtle, Paul Leiber, Thorb Baumgarten, Jo Ann G. Sison |
AutomotiveUI | 6 |
| 2009 | Bringing design considerations to the mobile phone and driving debateabstractThough legislation is increasingly discouraging drivers from holding on to their mobile phones while talking, hands-free devices do not improve driver safety. We offer two design alternatives to improve driver safety in the contexts of voice-based user interfaces and mobile phone conversations in cars' side tones (auditory feedback used in landline phones) and location of speakers. In a 2 (side tone: present vs. not) x 2 (location of speakers: headphones vs. dashboard) between-participants experiment (N=48), we investigated the impact of these features upon driver experience and performance on a simulated mobile phone conversation while driving. Participants became more verbally engaged in the conversation when side tones were present, but also experienced more cognitive load. Participants drove more safely when voices were projected from the dashboard rather than from headphones. Implications for driver user interface design are discussed. Leila Takayama, Jo Ann G. Sison, Brian Lathrop, Nicholas Wolfe, Abe Chiang, Alexia Nielsen, Clifford Nass |
CHI | 2 |