Subjective ratings of emotive stimuli predict the impact of the COVID-19 quarantine on affective states

A human-in-the-loop simulation was conducted to evaluate the impact of Unmanned Aircraft Systems (UAS) with low size, weight, and power (SWaP) sensors operating in a busy, low-altitude sector. Use of low SWaP sensors allow for UAS to perform detect-and-avoid (DAA) maneuvers against non-transponding traffic in the sector. Depending upon the detection range of the low SWaP sensor, the UAS pilot may or may not have time to coordinate with air traffic controllers (ATCos) prior to performing the DAA maneuver. ATCo’s sector performance and subjective ratings of acceptability were obtained in four conditions that varied in UAS-ATCo coordination (all or none) prior to the DAA maneuver and workload (higher or lower). For performance, ATCos committed more losses of separation in high than low workload conditions. They also had to make more flight plan changes to manage the UAS when the UAS pilot did not coordinate DAA maneuvers compared to when they did coordinate the maneuvers prior to execution. Although the ATCos found the DAA procedures used by the UAS in the study to be acceptable, most preferred the UAS pilot to coordinate their DAA maneuvers with ATCos prior to executing them.

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Wording of Daily Diary Questions Matters: An Investigation of the Effect of Daily Diary Instructional Phrases on Respondents’ Recall Time frames (Preprint)

10.2196/preprints.16105 ◽

2019 ◽

Author(s):

Arthur A. Stone ◽

Cheng K. Fred Wen ◽

Stefan Schneider ◽

Doerte U. Junghaenel

Keyword(s):

Medical Science ◽

Daily Diary ◽

Time Frame ◽

Affective States ◽

Diverse Range ◽

Daily Experience ◽

Time Periods ◽

Waking Up ◽

Time Frames ◽

The Impact

BACKGROUND Daily diaries are extensively used for examining participants' daily experience in behavioral and medical science. Whether participants recall their experiences within the time frames prescribed by task has received little attention. OBJECTIVE The objectives of this study are to describe survey respondents' self-reported recall timeframe and to evaluate the impact of different daily diary items on respondents reported affective states. METHODS In this study, 577 participants completed a mood survey with one of four time frame instructions: 1) today, 2) since waking up today, 3) during the last 24 hours, or 4) in the last day. They were also asked to indicate the time periods they considered when answering these items and to recall the instructional phrases associated with the items. RESULTS Almost all participants in the "Today" (97%) and "Since waking up today" (94%)" conditions reported using time periods consistent with our expectations, while a lower proportion was observed in the "during the last 24 hours" (69%) condition. A diverse range of responses was observed in the "In the last day" condition. Furthermore, the instructions influenced the levels of some self-reported affects, although exploratory analyses were not able to identify the mechanism underlying this finding. CONCLUSIONS Overall, these results indicate that "Today" and "Since waking up today" are the most effective instructional phrases for inquiring about daily experience and that investigators should use caution when using the other two instructional phrases.

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Intelligent Monitoring of Affective Factors Underlying Sport Performance by Means of Wearable and Mobile Technology

Proceedings ◽

10.3390/proceedings2191202 ◽

2018 ◽

Vol 2 (19) ◽

pp. 1202 ◽

Cited By ~ 3

Author(s):

Carlos Bailon ◽

Miguel Damas ◽

Hector Pomares ◽

Daniel Sanabria ◽

Pandelis Perakakis ◽

...

Keyword(s):

Wearable Sensors ◽

Affective State ◽

Sport Performance ◽

Affective States ◽

Complete Evaluation ◽

Affective Factors ◽

Physiological Variables ◽

Sport Events ◽

The Impact ◽

The Relationship

The fluctuation of affective states is a contributing factor to sport performance variability. The context surrounding athletes during their daily life and the evolution of their physiological variables beyond sport events are relevant factors, as they modulate the affective state of the subject over time. However, traditional procedures to assess the affective state are limited to self-reported questionnaires within controlled settings, thus removing the impact of the context. This work proposes a multimodal, context-aware platform that combines the data acquired through smartphones and wearable sensors to assess the affective state of the athlete. The platform is aimed at ubiquitously monitoring the fluctuations of affective states during longitudinal studies within naturalistic environments, overcoming the limitations of previous studies and allowing for the complete evaluation of the factors that could modulate the affective state. This system will also facilitate and expedite the analysis of the relationship between affective states and sport performance.

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Game-Based Delegation Interface Design for Unmanned Vehicles

Proceedings of the Human Factors and Ergonomics Society Annual Meeting ◽

10.1177/1541931213601028 ◽

2016 ◽

Vol 60 (1) ◽

pp. 122-126 ◽

Cited By ~ 1

Author(s):

Elizabeth M. Mersch ◽

Kyle J. Behymer ◽

Gloria L. Calhoun ◽

Heath A. Ruff ◽

Jared S. Dewey

Keyword(s):

Video Game ◽

Interface Design ◽

Unmanned Vehicles ◽

Large Set ◽

Subjective Ratings ◽

Color Coding ◽

Vehicle Type ◽

Objective Performance ◽

Single Operator ◽

The Impact

Video game interfaces featuring multiple distinct icons that enable a player to quickly select specific actions from a larger set of possible actions have the potential to inform the development of interfaces that enable a single operator to control multiple unmanned vehicles (UVs). The goal of this research was to examine the design of a video game inspired interface for delegating actions (called “plays”) to highly autonomous UVs. Specifically, the impact of color coding (by Play Type, by Vehicle Type, and No Color) and icon row assignment (by Play Type, by Vehicle Type, and Random) for a delegation play calling interface was evaluated in terms of participants’ performance in identifying and manually selecting a commanded play icon in an interface depicting a large set of UV plays. Both the objective performance data and subjective ratings indicated that icon row assignment impacted icon selection, whereas color coding did not. Mean icon selection time and subjective ratings were more favorable when the icons were assigned to rows in the Play Calling interface by vehicle type. Suggestions are made for follow-on research.

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The impact of comparative affective states on online brand perceptions: a five-country study

International Marketing Review ◽

10.1108/imr-10-2013-0237 ◽

2015 ◽

Vol 32 (3/4) ◽

pp. 438-454 ◽

Cited By ~ 6

Author(s):

Nikoletta-Theofania Siamagka ◽

George Christodoulides ◽

Nina Michaelidou

Keyword(s):

Affective States ◽

Country Study ◽

The Impact

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The effect of geometry and illumination on appearance perception of different material categories

The Visual Computer ◽

10.1007/s00371-021-02227-x ◽

2021 ◽

Author(s):

Bin Chen ◽

Chao Wang ◽

Michal Piovarči ◽

Hans-Peter Seidel ◽

Piotr Didyk ◽

...

Keyword(s):

Mixed Model ◽

Robust Regression ◽

Complex Problem ◽

Subjective Ratings ◽

Surface Geometry ◽

Scene Design ◽

Material Appearance ◽

Dominant Classes ◽

The Impact ◽

First Time

AbstractThe understanding of material appearance perception is a complex problem due to interactions between material reflectance, surface geometry, and illumination. Recently, Serrano et al. collected the largest dataset to date with subjective ratings of material appearance attributes, including glossiness, metallicness, sharpness and contrast of reflections. In this work, we make use of their dataset to investigate for the first time the impact of the interactions between illumination, geometry, and eight different material categories in perceived appearance attributes. After an initial analysis, we select for further analysis the four material categories that cover the largest range for all perceptual attributes: fabric, plastic, ceramic, and metal. Using a cumulative link mixed model (CLMM) for robust regression, we discover interactions between these material categories and four representative illuminations and object geometries. We believe that our findings contribute to expanding the knowledge on material appearance perception and can be useful for many applications, such as scene design, where any particular material in a given shape can be aligned with dominant classes of illumination, so that a desired strength of appearance attributes can be achieved.

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Dynamic experience of architectural forms affects arousal and valence perception in virtual environments

10.21203/rs.3.rs-910384/v1 ◽

2021 ◽

Author(s):

Paolo Presti ◽

Davide Ruzzon ◽

Pietro Avanzini ◽

Fausto Caruana ◽

Giacomo Rizzolatti ◽

...

Keyword(s):

Virtual Environments ◽

Form Factors ◽

Emotional Impact ◽

Affective States ◽

Progressive Change ◽

Architectural Features ◽

Side Walls ◽

Valence And Arousal ◽

The Impact ◽

Architectural Spaces

Abstract The built environment represents the stage surrounding our everyday life activities. To investigate the impact that architectural features have on individuals’ affective states, we measured their judgments of perceived valence (pleasant and unpleasant) and arousal after the dynamic experience of a progressive change of the environment within virtual decontextualized spaces. To this aim, we developed a parametric model which allowed to create 54 virtual architectural spaces characterized by a progressive change of side walls distance, ceiling and windows height as well as colour of the environment. Decreasing side walls distance, ceiling height variation as well as increasing windows height significantly affected the emotional state of the participants within virtual environments. Indeed, such architectural spaces generated high arousing and unpleasant states according to subjective judgement. Overall, we observed that valence and arousal scores are affected by all the dynamic form factors which modulated the spaciousness of the surrounding. Showing that virtual reality enables the possibility to measure the emotional impact of pure and decontextualized architectural features, we contribute to foster a human-centered approach to design where mental state of people is fundamental for the creation of novel spaces promoting wellbeing.

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Sentiment Analysis of Impact of Social Platforms on the Market Share of a Company

International Journal of Recent Technology and Engineering - 2 ◽

10.35940/ijrte.b1594.078219 ◽

2019 ◽

Vol 8 (2) ◽

pp. 540-543

Keyword(s):

Market Share ◽

Computational Linguistics ◽

Language Processing ◽

Opinion Mining ◽

Affective States ◽

Lexical Resources ◽

Linguistic Feature ◽

Utility Evaluation ◽

The Impact ◽

A Company

Sentimental analysis is also known as opinion mining or emotion AI. It refers to the use of natural language processing, text analysis, computational linguistics and biometrics to systematically identify, extract, and study affective states and subjective information. In this paper, Amazon reviews and blogs are analyzed to detect the sentiment using linguistic feature utility. Evaluation of the usefulness of existing lexical resources as well as capturing information about the informal and creative language used in online service platform is done. The goal of this research is to show the impact on the market-share of Vivo in comparison with that of Oppo and highlight the reason for the impact.

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Impact of the COVID-19 Pandemic on Higher Education: Characterizing the Psychosocial Context of the Positive and Negative Affective States Using Classification and Regression Trees

Frontiers in Psychology ◽

10.3389/fpsyg.2021.714397 ◽

2021 ◽

Vol 12 ◽

Author(s):

Marina Romeo ◽

Montserrat Yepes-Baldó ◽

Miguel Ángel Soria ◽

Maria Jayme

Keyword(s):

Higher Education ◽

Regression Trees ◽

Classification And Regression Trees ◽

Affective States ◽

Negative Effects ◽

Home Work ◽

Negative Affective States ◽

Classification And Regression ◽

Work Interaction ◽

The Impact

Our aim is to analyze the extent to which the psychosocial aspects can characterize the affective states of the teachers, administrative staff, and undergraduate and postgraduate students during the quarantine. A questionnaire was answered by 1,328 people from the community of the Universitat de Barcelona (UB), Spain. The survey was partially designed ad hoc, collecting indicators related to sociodemographic variables, the impact of COVID on the subjects or in their personal context, the psychosocial context of coexistence and perceived social support, characteristics related to the physical context during the quarantine, and labor conditions. Additionally, it included two validated instruments: the Survey Work-Home Interaction–Nijmegen for Spanish Speaking Countries (SWING-SSC) validated in Spanish and PANAS, the Positive and Negative Affect Schedule. Classification and Regression Trees (CART) were performed to identify which variables better characterize the participants' level of positive and negative affective states. Results according to groups showed that students are the ones who have suffered the most as a result of this situation (temporary employment regulation, higher scores in negative work-home and home-work interaction, lower scores in positive home-work interaction, and negative effects of teleworking). Additionally, they reported a higher mean score in interpersonal conflict and worse scores with regard to negative affective states. Based on sex, women were the ones whose environment was shown to be more frequently affected by the pandemic and who exhibited more negative effects of teleworking. In general terms, participants with the highest scores in negative affective states were those who perceived an increase in conflict and a high negative effect from work spilling over into their personal lives. On the contrary, participants with the highest levels of positive affective states were those with medium to low levels of negative home-work interaction, over 42.5 years old, and with medium to high levels of positive work-home interaction. Our results aim to help higher education to reflect on the need to adapt to this new reality, since the institutions that keep pace with evolving trends will be able to better attract, retain, and engage all the members of the university community in the years ahead.

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The Impact of Affective States and Affective Shifts on Creative Ideation and Evaluation

The Journal of Creative Behavior ◽

10.1002/jocb.440 ◽

2020 ◽

Author(s):

Yu-Chun Lai ◽

Shu-Ling Peng ◽

Po-Sheng Huang ◽

Hsueh-Chih Chen

Keyword(s):

Affective States ◽

Creative Ideation ◽

The Impact

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