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Madeleine Gibson

dblp:159/0464 · also Madeleine C. Gibson · DBLP profile ↗
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3ranked-venue papers
0as first author
0since 2021 · last 2016
—ORCID · none

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

Human-computer interaction and ubiquitous computing · 3

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
Collaborative and social computing · 41% Interaction techniques and input · 20% Human-robot interaction · 16%

Topics — the 7 heaviest of 9, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Human-robot interaction › human-robot collaboration
error recovery
0.212016
Error Recovery in Multitasking While Driving · CHI 2016
Interaction techniques and input
in-vehicle interaction
0.212016
Error Recovery in Multitasking While Driving · CHI 2016
Collaborative and social computing
computer-supported cooperative work
0.212015
Handheld or Handsfree?: Remote Collaboration via Lightweight Head-Mounted Displays and Handheld Devices · CSCW 2015
Collaborative and social computing
remote collaboration
0.212015
Handheld or Handsfree?: Remote Collaboration via Lightweight Head-Mounted Displays and Handheld Devices · CSCW 2015
Collaborative and social computing › groupware
shared workspace
0.212015
Handheld or Handsfree?: Remote Collaboration via Lightweight Head-Mounted Displays and Handheld Devices · CSCW 2015
Interaction techniques and input › mobile interaction
handheld devices
0.112015
Handheld or Handsfree?: Remote Collaboration via Lightweight Head-Mounted Displays and Handheld Devices · CSCW 2015
Immersive interaction
head-mounted display
0.112015
Handheld or Handsfree?: Remote Collaboration via Lightweight Head-Mounted Displays and Handheld Devices · CSCW 2015

Methods — techniques the papers use, named apart from their topics

touch screen word entry · 0.2driving simulator study · 0.2
YearPublicationVenuePosition
2016 Error Recovery in Multitasking While Driving
abstract
Human-technology interactions involving errors undermine acceptance and performance. The effect of errors and the ability to recover from them represent a particularly important consideration for design in safety-critical multitasking situations. However, few studies have considered the recovery process of errors in multitasking situations, such as their contribution to driver distraction. This paper investigates errors that drivers make interacting with an infotainment system. In this study, participants (N = 46) drove a stimulated vehicle and performed word entry tasks on a touch screen. Errors undermined driving and task performance. We also identified four different error recovery strategies and found that the accumulated information related to the driving situation and the characteristics of an infotainment system affected the choice of strategy. Implications for in-vehicle interface design, driver models, and general multitasking design are discussed.
Madeleine Gibson, John D. Lee
CHI2
2015 Secondary task boundaries influence drivers' glance durations
abstract
Drivers show a wide range of behavior while performing a secondary task behind the wheel. In the current study, we categorized drivers into groups based on their glance behavior at task boundary (i.e., pressing a touch screen button after reading driving-related messages) and compared driving capabilities of drivers in each group. The comparison between the groups identifies different eye glance strategies, or task switching decisions, and associated vehicle control behaviors. Senders' uncertainty model was adapted to explain the results and to suggest future directions in developing driver models.
Madeleine Gibson, John D. Lee
AutomotiveUI2
2015 Handheld or Handsfree?: Remote Collaboration via Lightweight Head-Mounted Displays and Handheld Devices
abstract
Emerging wearable and mobile communication technologies, such as lightweight head-mounted displays (HMDs) and handheld devices, promise support for everyday remote collaboration. Despite their potential for widespread use, their effectiveness as collaborative tools is unknown, particularly in physical tasks involving mobility. To better understand their impact on collaborative behaviors, perceptions, and performance, we conducted a two-by-two (technology type: HMD vs. tablet computer; task setting: static vs. dynamic) between-subjects study where participants (n=66) remotely collaborated as ``helper' and ``worker' pairs in the construction of a physical object. Our results showed that, in the dynamic task, HMD use enabled helpers to offer more frequent directing commands and more proactive assistance, resulting in marginally faster task completion. In the static task, while tablet use helped convey subtle visual information, helpers and workers had conflicting perceptions of how the two technologies contributed to their success. Our findings offer strong design and research implications, underlining the importance of a consistent view of the shared workspace and the differential support collaborators with different roles receive from technologies.
Steven Johnson 0001, Madeleine Gibson, Bilge Mutlu
CSCW2