CellDepot: A unified repository for scRNA-seq data and visual exploration

Past research has shown that the gender typicality of applicants’ faces affects leadership selection irrespective of a candidate’s gender: A masculine facial appearance is congruent with masculine-typed leadership roles, thus masculine-looking applicants are hired more certainly than feminine-looking ones. In the present study, we extended this line of research by investigating hiring decisions for both masculine- and feminine-typed professional roles. Furthermore, we used eye tracking to examine the visual exploration of applicants’ portraits. Our results indicate that masculine-looking applicants were favored for the masculine-typed role (leader) and feminine-looking applicants for the feminine-typed role (team member). Eye movement patterns showed that information about gender category and facial appearance was integrated during first fixations of the portraits. Hiring decisions, however, were not based on this initial analysis, but occurred at a second stage, when the portrait was viewed in the context of considering the applicant for a specific job.

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Visual exploration of dynamic real-world scenes in patients with hemispatial neglect

Klinische Neurophysiologie ◽

10.1055/s-0031-1272664 ◽

2011 ◽

Vol 42 (01) ◽

Author(s):

J. von der Gablentz ◽

A. Sprenger ◽

M. Dorr ◽

E. Barth ◽

W. Heide ◽

...

Keyword(s):

Real World ◽

Visual Exploration ◽

Hemispatial Neglect

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DESIGNING A DATA VISUALISATION AND ANALYSIS TOOL FOR SUPPORTING DECISION-MAKING WITH PUBLIC TRANSPORTATION NETWORK

Proceedings of the Design Society ◽

10.1017/pds.2021.109 ◽

2021 ◽

Vol 1 ◽

pp. 1093-1102

Author(s):

Flore Vallet ◽

Mostepha Khouadjia ◽

Ahmed Amrani ◽

Juliette Pouzet

Keyword(s):

Decision Making ◽

Public Transportation ◽

Transportation Network ◽

Visual Exploration ◽

Problem Solution ◽

Analysis Tool ◽

Complex Data ◽

Data Visualisation ◽

Ex Post ◽

Passenger Flows

AbstractMassive data are surrounding us in our daily lives. Urban mobility generates a very high number of complex data reflecting the mobility of people, vehicles and objects. Transport operators are primary users who strive to discover the meaning of phenomena behind traffic data, aiming at regulation and transport planning. This paper tackles the question "How to design a supportive tool for visual exploration of digital mobility data to help a transport analyst in decision making?” The objective is to support an analyst to conduct an ex post analysis of train circulation and passenger flows, notably in disrupted situations. We propose a problem-solution process combined with data visualisation. It relies on the observation of operational agents, creativity sessions and the development of user scenarios. The process is illustrated for a case study on one of the commuter line of the Paris metropolitan area. Results encompass three different layers and multiple interlinked views to explore spatial patterns, spatio-temporal clusters and passenger flows. We join several transport network indicators whether are measured, forecasted, or estimated. A user scenario is developed to investigate disrupted situations in public transport.

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

Journal of Ambient Intelligence and Humanized Computing ◽

10.1007/s12652-021-03134-8 ◽

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.

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