Ina Bornkessel-Schlesewsky

dblp:33/7228 · also Ina Bornkessel · DBLP profile ↗
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4ranked-venue papers
0as first author
3since 2021 · last 2023
0000-0002-3238-6492ORCID · verified

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

Graphics, computer vision, multimedia, augmented reality and games · 3 · 2 since 2021Artificial intelligence and machine learning · 1 · 1 since 2021Applied, interdisciplinary, general and emerging 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
3 papers
Usability and user experience research · 44% Immersive interaction · 41% Wearable and physiological sensing · 10%

Topics — the 5 heaviest of 6, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Immersive interaction › augmented reality
spatial augmented reality
1.632023
Multi-Level Precues for Guiding Tasks Within and Between Workspaces in Spatial Augmented Reality · IEEE Trans. Vis. Comput. Graph. 2023
Event Related Brain Responses Reveal the Impact of Spatial Augmented Reality Predictive Cues on Mental Effort · IEEE Trans. Vis. Comput. Graph. 2023
A Comparison of Predictive Spatial Augmented Reality Cues for Procedural Tasks · IEEE Trans. Vis. Comput. Graph. 2018
Usability and user experience research › user assistance
task guidance
1.022023
Multi-Level Precues for Guiding Tasks Within and Between Workspaces in Spatial Augmented Reality · IEEE Trans. Vis. Comput. Graph. 2023
A Comparison of Predictive Spatial Augmented Reality Cues for Procedural Tasks · IEEE Trans. Vis. Comput. Graph. 2018
Usability and user experience research
cognitive load
0.822023
Event Related Brain Responses Reveal the Impact of Spatial Augmented Reality Predictive Cues on Mental Effort · IEEE Trans. Vis. Comput. Graph. 2023
A Comparison of Predictive Spatial Augmented Reality Cues for Procedural Tasks · IEEE Trans. Vis. Comput. Graph. 2018
Wearable and physiological sensing
electroencephalography
0.212023
Event Related Brain Responses Reveal the Impact of Spatial Augmented Reality Predictive Cues on Mental Effort · IEEE Trans. Vis. Comput. Graph. 2023
Wearable and physiological sensing › electroencephalography
event-related potentials
0.212023
Event Related Brain Responses Reveal the Impact of Spatial Augmented Reality Predictive Cues on Mental Effort · IEEE Trans. Vis. Comput. Graph. 2023

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

user study · 0.7n-back task · 0.7auditory oddball task · 0.7EEG · 0.7between-subjects experiment · 0.3
YearPublicationVenuePosition
2023 Harnessing Linguistic Diversity for Theories of Language and Mind
Evan Kidd, Morten H. Christiansen, Asifa Majid, Ina Bornkessel-Schlesewsky, Matthias Schlesewsky, Nicholas Evans
CogSci4
2023 Event Related Brain Responses Reveal the Impact of Spatial Augmented Reality Predictive Cues on Mental Effort
abstract
This article presents the results from a Spatial Augmented Reality (SAR) study which evaluated the cognitive cost of several predictive cues. Participants performed a validated procedural button pressing task, where the predictive cue annotations guided them to the upcoming task. While existing research has evaluated predictive cues based on their performance and self-rated mental effort, actual cognitive cost has yet to be investigated. To measure the user's brain activity, this study utilized electroencephalogram (EEG) recordings. Cognitive load was evaluated by measuring brain responses for a secondary auditory oddball task, with reduced brain responses to oddball tones expected when cognitive load in the primary task is highest. A simple monitor n-back task and procedural task comparing monitor versus SAR were conducted, followed by a version of the procedural task comparing the SAR predictive cues. Results from the brain responses were able to distinguish between performance enhancing cues with a high and low cognitive load. Electrical brain responses also revealed that having an arc or arrow guide towards the upcoming task required the least amount of mental effort.
Benjamin Volmer, James Baumeister, G. Stewart Von Itzstein, Matthias Schlesewsky, Ina Bornkessel-Schlesewsky, Bruce H. Thomas
IEEE Trans. Vis. Comput. Graph.5
2023 Multi-Level Precues for Guiding Tasks Within and Between Workspaces in Spatial Augmented Reality
abstract
We explore Spatial Augmented Reality (SAR) precues (predictive cues) for procedural tasks within and between workspaces and for visualizing multiple upcoming steps in advance. We designed precues based on several factors: cue type, color transparency, and multi-level (number of precues). Precues were evaluated in a procedural task requiring the user to press buttons in three surrounding workspaces. Participants performed fastest in conditions where tasks were linked with line cues with different levels of color transparency. Precue performance was also affected by whether the next task was in the same workspace or a different one.
Benjamin Volmer, Jen-Shuo Liu, Brandon J. Matthews, Ina Bornkessel-Schlesewsky, Steven K. Feiner, Bruce H. Thomas
IEEE Trans. Vis. Comput. Graph.4
2018 A Comparison of Predictive Spatial Augmented Reality Cues for Procedural Tasks
abstract
Previous research has demonstrated that Augmented Reality can reduce a user's task response time and mental effort when completing a procedural task. This paper investigates techniques to improve user performance and reduce mental effort by providing projector-based Spatial Augmented Reality predictive cues for future responses. The objective of the two experiments conducted in this study was to isolate the performance and mental effort differences from several different annotation cueing techniques for simple (Experiment 1) and complex (Experiment 2) button-pressing tasks. Comporting with existing cognitive neuroscience literature on prediction, attentional orienting, and interference, we hypothesized that for both simple procedural tasks and complex search-based tasks, having a visual cue guiding to the next task's location would positively impact performance relative to a baseline, no-cue condition. Additionally, we predicted that direction-based cues would provide a more significant positive impact than target-based cues. The results indicated that providing a line to the next task was the most effective technique for improving the users' task time and mental effort in both the simple and complex tasks.
Benjamin Volmer, James Baumeister, G. Stewart Von Itzstein, Ina Bornkessel-Schlesewsky, Matthias Schlesewsky, Mark Billinghurst, Bruce H. Thomas
IEEE Trans. Vis. Comput. Graph.4