scholarly journals Planning of active and passive voice in German

2020 ◽  
Author(s):  
Judith Schlenter ◽  
Yulia Esaulova ◽  
Elyesa Seidel ◽  
Martina Penke
Keyword(s):  
Eye Tracking ◽  
Eye Gaze ◽  
Passive Voice ◽  
Case Marking ◽  
Sentence Planning ◽  
Subject And Object ◽  
Active Sentence

This eye-tracking experiment investigated how morphological case affects German speakers’ descriptions of transitive events, specifically whether explicit case marking modulates speakers’ structural choices. To increase the production of non-canonical structures (passive, patient-initial active), we primed patients in event scenes with a red dot. Subject and object case in German are unambiguously marked on masculine nouns but not on feminine nouns. If explicit case marking requires more structural planning, we should find an effect of gender. For feminine nouns, speakers may start with the cued patient and continue with a passive or a patient-initial active sentence. However, analyses of syntactic choice, speech onset times and eye gaze revealed that gender and thus case marking had no effect on sentence planning

scholarly journals Techniques Used for Eye Gaze Interfaces and Survey

2015 ◽  
Vol 1 (6) ◽  
pp. 276
Author(s):  
Maria Rashid ◽  
Wardah Mehmood ◽  
Aliya Ashraf
Keyword(s):  
Eye Tracking ◽  
Eye Gaze ◽  
3D Models ◽  
Image Process ◽  
Usability Problems ◽  
Software Algorithms ◽  
Pupil Detection ◽  
Eye Movement Tracking ◽  
2D And 3D ◽  
Movement Tracking

Eye movement tracking is a method that is now-a-days used for checking the usability problems in the contexts of Human Computer Interaction (HCI). Firstly we present eye tracking technology and key elements.We tend to evaluate the behavior of the use when they are using the interace of eye gaze. Used different techniques i.e. electro-oculography, infrared oculography, video oculography, image process techniques, scrolling techniques, different models, probable approaches i.e. shape based approach, appearance based methods, 2D and 3D models based approach and different software algorithms for pupil detection etc. We have tried to compare the surveys based on their geometric properties and reportable accuracies and eventually we conclude this study by giving some prediction regarding future eye-gaze. We point out some techniques by using various eyes properties comprising nature, appearance and gesture or some combination for eye tracking and detection. Result displays eye-gaze technique is faster and better approach for selection than a mouse selection. Rate of error for all the matters determines that there have been no errors once choosing from main menus with eye mark and with mouse. But there have been a chance of errors when once choosing from sub menus in case of eye mark. So, maintain head constantly in front of eye gaze monitor.

scholarly journals Tracking eye-gaze in smart home systems (SHS): first insights from eye-tracking and self-report measures

2021 ◽  
Author(s):  
Federico Cassioli ◽  
Laura Angioletti ◽  
Michela Balconi
Keyword(s):  
Eye Tracking ◽  
Personality Traits ◽  
Smart Home ◽  
Near Infrared ◽  
Tracking System ◽  
Eye Gaze ◽  
Self Report ◽  
Visual Exploration ◽  
Living Room ◽  
Psychological Traits

AbstractHuman–computer interaction (HCI) is particularly interesting because full-immersive technology may be approached differently by users, depending on the complexity of the interaction, users’ personality traits, and their motivational systems inclination. Therefore, this study investigated the relationship between psychological factors and attention towards specific tech-interactions in a smart home system (SHS). The relation between personal psychological traits and eye-tracking metrics is investigated through self-report measures [locus of control (LoC), user experience (UX), behavioral inhibition system (BIS) and behavioral activation system (BAS)] and a wearable and wireless near-infrared illumination based eye-tracking system applied to an Italian sample (n = 19). Participants were asked to activate and interact with five different tech-interaction areas with different levels of complexity (entrance, kitchen, living room, bathroom, and bedroom) in a smart home system (SHS), while their eye-gaze behavior was recorded. Data showed significant differences between a simpler interaction (entrance) and a more complex one (living room), in terms of number of fixation. Moreover, slower time to first fixation in a multifaceted interaction (bathroom), compared to simpler ones (kitchen and living room) was found. Additionally, in two interaction conditions (living room and bathroom), negative correlations were found between external LoC and fixation count, and between BAS reward responsiveness scores and fixation duration. Findings led to the identification of a two-way process, where both the complexity of the tech-interaction and subjects’ personality traits are important impacting factors on the user’s visual exploration behavior. This research contributes to understand the user responsiveness adding first insights that may help to create more human-centered technology.

scholarly journals Isomorphism and language-specific devices in comprehension of Korean suffixal passive construction by Mandarin-speaking learners of Korean

2021 ◽  
Vol 0 (0) ◽  
Author(s):  
Gyu-Ho Shin ◽  
Sun Hee Park
Keyword(s):  
Native Speakers ◽  
Reaction Times ◽  
The Other ◽  
L2 Acquisition ◽  
Verbal Morphology ◽  
Passive Voice ◽  
Passive Construction ◽  
Case Marking

Abstract Across languages, a passive construction is known to manifest a misalignment between the typical order of event composition (agent-before-theme) and the actual order of arguments in the constructions (theme-before-agent), dubbed non-isomorphic mapping. This study investigates comprehension of a suffixal passive construction in Korean by Mandarin-speaking learners of Korean, focusing on isomorphism and language-specific devices in the passive. We measured learners’ judgment of the acceptability of canonical and scrambled suffixal passives as well as their reaction times (relative to a canonical active transitive). Our analysis generated three major findings. First, learners uniformly preferred the canonical passive to the scrambled passive. Second, as proficiency increased, the judgment gap between the canonical active transitive and the canonical suffixal passive narrowed, but the gap between the canonical active transitive and the scrambled suffixal passive did not. Third, learners (and even native speakers) spent more time in judging the acceptability of the canonical suffixal passive than they did in the other two construction types. Implications of these findings are discussed with respect to the mapping nature involving a passive voice, indicated by language-specific devices (i.e., case-marking and verbal morphology dedicated to Korean passives), in L2 acquisition.

scholarly journals German children’s processing of morphosyntactic cues in wh-questions

2018 ◽  
Vol 39 (6) ◽  
pp. 1279-1318 ◽  
Author(s):  
ATTY SCHOUWENAARS ◽  
PETRA HENDRIKS ◽  
ESTHER RUIGENDIJK
Keyword(s):  
Working Memory ◽  
Eye Tracking ◽  
Selection Task ◽  
Typically Developing ◽  
Garden Path ◽  
Verb Agreement ◽  
Case Marking ◽  
Wh Questions ◽  
German Children

ABSTRACTTwo experiments investigated the effects of case and verb agreement cues on the comprehension and production of which-questions in typically developing German children (aged 7–10) and adults. Our aims were to determine (a) whether they make use of morphosyntactic cues (case marking and verb agreement) for the comprehension of which-questions, (b) how these questions are processed, and (c) whether the presence and position of morphosyntactic cues available for the listener influence the speaker’s production of which-questions. Performance on a picture selection task with eye tracking shows that children with low working memory make less use of morphosyntactic cues than children with high working memory and adults when interpreting object questions. Gaze data of both groups reveal garden-path effects and revisions for object and passive questions, which can be explained by a constraint-based account. Furthermore, children’s difficulties with object questions are related to the type of disambiguation cue. In a question elicitation task with patient-initial items, children overall prefer production of passives, whereas adults’ productions depend on the availability of disambiguation cues for the listener.

scholarly journals Automated Filtering of Eye Movements Using Dynamic AOI in Multiple Granularity Levels

2021 ◽  
Vol 12 (1) ◽  
pp. 49-64
Author(s):  
Gavindya Jayawardena ◽  
Sampath Jayarathna
Keyword(s):  
Eye Movements ◽  
Eye Tracking ◽  
Eye Movement ◽  
Eye Gaze ◽  
Movement Analysis ◽  
Movement Data ◽  
Bounding Boxes ◽  
Multiple Granularity ◽  
Instance Segmentation ◽  
Segmentation Models

Eye-tracking experiments involve areas of interest (AOIs) for the analysis of eye gaze data. While there are tools to delineate AOIs to extract eye movement data, they may require users to manually draw boundaries of AOIs on eye tracking stimuli or use markers to define AOIs. This paper introduces two novel techniques to dynamically filter eye movement data from AOIs for the analysis of eye metrics from multiple levels of granularity. The authors incorporate pre-trained object detectors and object instance segmentation models for offline detection of dynamic AOIs in video streams. This research presents the implementation and evaluation of object detectors and object instance segmentation models to find the best model to be integrated in a real-time eye movement analysis pipeline. The authors filter gaze data that falls within the polygonal boundaries of detected dynamic AOIs and apply object detector to find bounding-boxes in a public dataset. The results indicate that the dynamic AOIs generated by object detectors capture 60% of eye movements & object instance segmentation models capture 30% of eye movements.

Eye-Tracking Technology

2017 ◽  
pp. 283-302
Author(s):  
Chandni Parikh
Keyword(s):  
Eye Movements ◽  
Eye Tracking ◽  
Eye Gaze ◽  
Autism Spectrum ◽  
Gaze Direction ◽  
Red Flags ◽  
High Risk Infants ◽  
Behavioral Markers ◽  
Tracking Technology ◽  
Insight Into

Eye movements and gaze direction have been utilized to make inferences about perception and cognition since the 1800s. The driving factor behind recording overt eye movements stem from the fundamental idea that one's gaze provides tremendous insight into the information processing that takes place early on during development. One of the key deficits seen in individuals diagnosed with Autism Spectrum Disorders (ASD) involves eye gaze and social attention processing. The current chapter focuses on the use of eye-tracking technology with high-risk infants who are siblings of children diagnosed with ASD in order to highlight potential bio-behavioral markers that can inform the ascertainment of red flags and atypical behaviors associated with ASD within the first few years of development.

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