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Maxwell Keleher

dblp:329/6312 · DBLP profile ↗
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4ranked-venue papers
2as first author
4since 2021 · last 2026
0000-0003-0887-7504ORCID · corroborated

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

Human-computer interaction and ubiquitous computing · 3 · 1 first-author · 3 since 2021Artificial intelligence and machine learning · 1 · 1 since 2021Security and privacy · 1 · 1 first-author · 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.

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

Topics — the 2 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Privacy and data protection
privacy perceptions
1.012026
The privacy triad: Understanding the influence of perceived social agency on privacy attitudes · Int. J. Hum. Comput. Stud. 2026
Human-robot interaction
social agents
0.312026
The privacy triad: Understanding the influence of perceived social agency on privacy attitudes · Int. J. Hum. Comput. Stud. 2026

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

survey · 2.0grounded theory · 2.0
YearPublicationVenuePosition
2026 The privacy triad: Understanding the influence of perceived social agency on privacy attitudes
abstract
The Computers Are Social Actors (CASA) paradigm proposes that users’ interactions with computers follow the same social psychology principles as their interactions with people. CASA has potential value in guiding privacy design and research, but this has never been explicitly studied. To investigate how CASA may affect users’ privacy attitudes towards computers, smartphones, and digital assistants, we conducted a two-part investigation. First, we surveyed 400 participants. We identify that CASA is relevant in some, but not all, privacy contexts. Next, we interviewed 12 participants using Grounded Theory methods to understand to what extent CASA shaped their privacy attitudes. Overall, our study revealed that CASA by itself is insufficient to explain users’ privacy attitudes. Interpreting our results, we propose the Privacy Triad: users either consider their device to be a social agent , a conduit for outside actors, or a tool over which they have full control. These roles impact users’ privacy attitudes and expectations towards the device. We describe the practical applications of the Privacy Triad for designers. The triad can help designers implement privacy systems and technologies that foster interactions that naturally align with users’ expectations. It can also help designers think through potential risks arising from these interactions (e.g., phishing or inadvertent privacy disclosures).
Maxwell Keleher, Khadija Baig, Sonia Chiasson
Int. J. Hum. Comput. Stud.1
2025 Workshop on Cybersecurity and Sustainability
David Barrera 0003, Maxwell Keleher, Sonia Chiasson
COMPASS2
2024 Balancing Security and Longevity: Benefits of Modular IoT Infrastructure
abstract
IoT device disposal involves all of the challenges associated with disposal of non-IoT devices, and introduces the additional challenge of purging sensitive data from the IoT components. These challenges push IoT device owners to make decisions with negative environmental, security, and privacy consequences. This paper investigates the extent to which security and privacy play a role in users’ decisions to retire home IoT devices. Through an online questionnaire administered to 195 users, we seek to understand motivations and behaviours surrounding disposal of IoT devices. We find that security is not a direct motivator for owners to cease using IoT devices of all types; in many cases loss of functionality is a greater motivator to dispose of a device. We argue that a new modular security paradigm can allow both increased security for users and longer lasting devices.
Maxwell Keleher, David Barrera 0003, Sonia Chiasson
NSPW1
2024 Navigating the Gray: Design Practitioners' Perceptions Toward the Implementation of Privacy Dark Patterns
abstract
Designers are sometimes accused of using deceptive methods to manipulate users' information privacy decisions through "privacy dark patterns." Through semi-structured interviews, we explore the perceptions of 23 design practitioners towards the implementation of "privacy dark patterns" created by other designers. This paper explores designers' perceived responsibilities toward users' privacy and their interpretations of the reasons behind the design implementation. We found a range of empathetic rationales among our participants toward other designers' intentions. An example theme is Designer Followed the Status Quo, where common and widely used privacy interfaces are normalized a practice that is typically viewed as reasonable. Our participants' interpretations of the design intent influenced their self-reported practices for navigating similar design requests. We propose a set of factors that influence privacy design practices, including following conventions and norms, ensuring legal compliance, reliance on established usability standards, perceived benefits to businesses and consumers, and degrees of privacy harm.
Leah Zhang-Kennedy, Maxwell Keleher, Michaela Valiquette
Proc. ACM Hum. Comput. Interact.2