Mark Neerincx
Biographic Data
| ID | 5124114 |
|---|---|
| NAME | Mark Neerincx |
| GIVEN NAMES | Mark |
| FAMILY NAME | Neerincx |
| SIGNATURE | NEERINCX M |
| AFFILIATIONS | Delft University of Technology |
| VERIFIED | No |
| TOTAL WORKS | 7 |
| TOTAL CITATIONS | 4 |
| AUTHOR COUNT | 7 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 1998 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 1 |
A music recommendation system for constructed music-evoked episodic memories (CoMeems)
Music is widely used in human–computer interaction (HCI) to enhance engagement, sustain attention, and support cognitive stimulation. Yet its potential for deliberate mood regulation, particularly through personalized memory recall, remains largely unexplored. Music-evoked autobiographical memories (MEAMs) are often elicited by well-known, favorite songs, yielding stronger mood effects than music without personal memory associations. However, son…
What is Wrong With Automation Bias
This article examines the ethical and moral implications of automation bias in high-stakes decision-making contexts. Drawing on empirical studies, we distinguish between weak automation bias, where users follow system’s automated cues (or its silence) without consulting readily accessible evidence that contradicts them, and strong automation bias, where users follow such cues (or their absence) even when they are aware of such evidence. While wea…
The power of assumptions
Recent energy justice scholarship has argued for the need to reflect more explicitly on the normative assumptions that underpin claims to justice in energy systems. While such reflections increasingly inform energy policy, less attention has been paid to how these assumptions shape the design of algorithmic systems central to energy system planning and operations. This paper explores how normative assumptions in the design of algorithmic systems …
Adapting to limited grid capacity
As renewable energy and electrification expand rapidly, many electrical distribution grids experience grid congestion . This situation leads to long waiting lists for parties seeking a new grid connection or aiming to expand their existing grid connection. In addition to traditional grid enforcements, distribution system operators are developing ways to manage congestion by steering electricity supply and demand. As grid congestion limits the pre…
Role of emotions in responsible military AI
A Feasibility Study of a Social Robot Collecting Patient Reported Outcome Measurements from Older Adults
Cognitive Support
The idea of aiding as cognitive support is to offer the user the knowledge he or she is missing. Recently, we developed a design method for aiding that is based on explicit requirements of the human problem solver. This proved to be able to supplement a lack of human knowledge in a statistical analysis task. In this article we extend the aiding concept to time-pressured tasks and we investigate whether aiding can supplement lack of knowledge and …
Cognitive Support
The idea of aiding as cognitive support is to offer the user the knowledge he or she is missing. Recently, we developed a design method for aiding that is based on explicit requirements of the human problem solver. This proved to be able to supplement a lack of human knowledge in a statistical analysis task. In this article we extend the aiding concept to time-pressured tasks and we investigate whether aiding can supplement lack of knowledge and …
A Feasibility Study of a Social Robot Collecting Patient Reported Outcome Measurements from Older Adults
Role of emotions in responsible military AI
Adapting to limited grid capacity
As renewable energy and electrification expand rapidly, many electrical distribution grids experience grid congestion . This situation leads to long waiting lists for parties seeking a new grid connection or aiming to expand their existing grid connection. In addition to traditional grid enforcements, distribution system operators are developing ways to manage congestion by steering electricity supply and demand. As grid congestion limits the pre…
A music recommendation system for constructed music-evoked episodic memories (CoMeems)
Music is widely used in human–computer interaction (HCI) to enhance engagement, sustain attention, and support cognitive stimulation. Yet its potential for deliberate mood regulation, particularly through personalized memory recall, remains largely unexplored. Music-evoked autobiographical memories (MEAMs) are often elicited by well-known, favorite songs, yielding stronger mood effects than music without personal memory associations. However, son…
What is Wrong With Automation Bias
This article examines the ethical and moral implications of automation bias in high-stakes decision-making contexts. Drawing on empirical studies, we distinguish between weak automation bias, where users follow system’s automated cues (or its silence) without consulting readily accessible evidence that contradicts them, and strong automation bias, where users follow such cues (or their absence) even when they are aware of such evidence. While wea…
The power of assumptions
Recent energy justice scholarship has argued for the need to reflect more explicitly on the normative assumptions that underpin claims to justice in energy systems. While such reflections increasingly inform energy policy, less attention has been paid to how these assumptions shape the design of algorithmic systems central to energy system planning and operations. This paper explores how normative assumptions in the design of algorithmic systems …
Psychology (4 works) · Computer Science (3 works) · Artificial Intelligence (2 works) · Cognition (2 works) · Engineering (2 works) · Ethics and Social Impacts of AI (2 works) · Human-Automation Interaction and Safety (2 works) · Human–computer interaction (2 works) · Injustice (2 works) · Smart Grid Energy Management (2 works)