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Aaron Necaise

dblp:300/3527 · DBLP profile ↗
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6ranked-venue papers
4as first author
6since 2021 · last 2025
0000-0002-1111-2898ORCID · verified

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

Human-computer interaction and ubiquitous computing · 3 · 2 first-author · 3 since 2021Applied, interdisciplinary, general and emerging computing · 3 · 2 first-author · 3 since 2021Artificial intelligence and machine learning · 2 · 2 first-author · 2 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.

Network and information security
1 paper
Privacy and data protection · 100%
Human-computer interaction and pervasive computing
1 paper
Collaborative and social computing · 100%

Topics — the 4 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Privacy and data protection › privacy management › multi-user privacy
interdependent privacy
0.712023
Modeling User Characteristics Associated with Interdependent Privacy Perceptions on Social Media · ACM Trans. Comput. Hum. Interact. 2023
Privacy and data protection
privacy perceptions
0.712023
Modeling User Characteristics Associated with Interdependent Privacy Perceptions on Social Media · ACM Trans. Comput. Hum. Interact. 2023
Collaborative and social computing › user-generated content
photo sharing
0.212023
Modeling User Characteristics Associated with Interdependent Privacy Perceptions on Social Media · ACM Trans. Comput. Hum. Interact. 2023
Collaborative and social computing
social media
0.212023
Modeling User Characteristics Associated with Interdependent Privacy Perceptions on Social Media · ACM Trans. Comput. Hum. Interact. 2023

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

user study · 1.3questionnaire · 1.3
YearPublicationVenuePosition
2025 Wearables for Well-Being: A Longitudinal in Situ Study of Smartwatches to Understand and Enhance Line-Level Housekeeping Work
abstract
Increased strain on the hospitality industry following the COVID-19 pandemic and ensuing labor shortages has led to calls for new technologies such as smartwatches for understanding and improving work conditions for housekeepers, who are often from vulnerable and marginalized populations. In addition to concerns regarding how new technologies will be received by workers, questions remain as to whether metrics derived from smartwatches can usefully predict aspects of the worker experience, such as feelings of stress. We recruited 20 hotel housekeepers to wear smartwatch-based sensors during work for approximately 20 eight-hour shifts. In addition to pre- and post-participation surveys on workplace attitudes, participants provided daily stress ratings. Findings revealed increased technology acceptance and perceptions of organizational support following smartwatch use. Smartwatch metrics reliably predicted participant ratings of daily and overall stress. Theoretical implications for technology acceptance and practical implications for introducing technology into the workplace are discussed.
Aaron Necaise, Cynthia Mejia, Joseph T. Kider Jr., Mindy K. Shoss, Mary Jean Amon
Int. J. Hum. Comput. Interact.1
2023 User Preferences for Interdependent Privacy Preservation Strategies in Social Media
abstract
Interdependent privacy (IDP) violations occur when users share personal information about others without permission, resulting in potential embarrassment, reputation loss, or harassment. There are several strategies that can be applied to protect IDP, but little is known regarding how social media users perceive IDP threats or how they prefer to respond to them. We utilized a mixed-method approach with a replication study to examine user beliefs about various government-, platform-, and user-level strategies for managing IDP violations. Participants reported that IDP represented a 'serious' online threat, and identified themselves as primarily responsible for responding to violations. IDP strategies that felt more familiar and provided greater perceived control over violations (e.g., flagging, blocking, unfriending) were rated as more effective than platform or government driven interventions. Furthermore, we found users were more willing to share on social media if they perceived their interactions as protected. Findings are discussed in relation to control paradox theory.
Aaron Necaise, Tangila Islam Tanni, Aneka Williams, Yan Solihin, Apu Kapadia, Mary Jean Amon
Proc. ACM Hum. Comput. Interact.1
2023 Modeling User Characteristics Associated with Interdependent Privacy Perceptions on Social Media
abstract
“Interdependent” privacy violations occur when users share private photos and information about other people in social media without permission. This research investigated user characteristics associated with interdependent privacy perceptions, by asking social media users to rate photo-based memes depicting strangers on the degree to which they were too private to share. Users also completed questionnaires measuring social media usage and personality. Separate groups rated the memes on shareability, valence, and entertainment value. Users were less likely to share memes that were rated as private, except when the meme was entertaining or when users exhibited dark triad characteristics. Users with dark triad characteristics demonstrated a heightened awareness of interdependent privacy and increased sharing of others’ photos. A model is introduced that highlights user types and characteristics that correspond to different privacy preferences: privacy preservers, ignorers, and violators. We discuss how interventions to support interdependent privacy must effectively influence diverse users.
Mary Jean Amon, Aaron Necaise, Nika Kartvelishvili, Aneka Williams, Yan Solihin, Apu Kapadia
ACM Trans. Comput. Hum. Interact.2
2022 The relationship between individual differences in mental imagery vividness and emotional distress
Aaron Necaise, Daniel S. McConnell, Mary Jean Amon
CogSci1
2022 Flexibility Versus Routineness in Multimodal Health Indicators: A Sensor-based Longitudinal in Situ Study of Information Workers
abstract
Although some research highlights the benefits of behavioral routines for individual functioning, other research indicates that routines can reflect an individual's inflexibility and lower well-being. Given conflicting accounts on the benefits of routine, research is needed to examine how routineness versus flexibility in health-related behaviors correspond to personality traits, health, and occupational outcomes. We adopt a nonlinear dynamical systems approach to understanding routine using automatically sensed health-related behaviors collected from 483 information workers over a roughly two-month period. We utilized multidimensional recurrence quantification analysis to derive a measure of health regularity (routineness) from measures of daily step count, sleep duration, and heart rate variability (which relates to stress). Participants also completed measures of personality, health, and job performance at the start of the study and for two months via Ecological Momentary Assessments. Greater regularity was associated with higher neuroticism, lower agreeableness, and greater interpersonal and organizational deviance. Importantly, these results were independent of overall levels of each health indicator in addition to demographics. It is often believed that routine is desirable, but the results suggest that associations with routineness are more nuanced, and wearable sensors can provide insights into beneficial health behaviors.
Mary Jean Amon, Stephen M. Mattingly, Aaron Necaise, Gloria Mark, Nitesh V. Chawla, Anind K. Dey, Sidney K. D'Mello
ACM Trans. Comput. Heal.3
2021 The Relationship Between Mental Imagery Vividness and Blind Reaching Performance
Aaron Necaise, John Sermarini, Joseph T. Kider Jr., Daniel S. McConnell, Mary Jean Amon
CogSci1