Wijnand A Ijsselsteijn
Biographic Data
| ID | 3426609 |
|---|---|
| NAME | Wijnand A Ijsselsteijn |
| GIVEN NAMES | Wijnand A |
| FAMILY NAME | Ijsselsteijn |
| SIGNATURE | IJSSELSTEIJN W A |
| AFFILIATIONS | Eindhoven University of Technology |
| ORCID | 0000-0001-6856-9269 |
| VERIFIED | Yes |
| TOTAL WORKS | 23 |
| TOTAL CITATIONS | 13 |
| AUTHOR COUNT | 23 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2007 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 3 |
Social Robots for People Living with Dementia: A Scoping Review on Deception from Design to Perception
As social robots are increasingly introduced into dementia care, their embodied and interactive design may blur the boundary between artificial and lifelike entities, raising ethical concerns about robotic deception. In this context, it remains unclear which specific design cues of social robots might lead to social robotic deception (SRD) in people living with dementia (PLwD), and which perceptions and responses of PLwD might indicate that SRD i…
Beyond the attention economy, towards an ecology of attending. A manifesto
We endorse policymakers’ efforts to address the negative consequences of the attention economy’s technology but add that these approaches are often limited in their criticism of the systemic context of human attention. Starting from Buddhist philosophy, we advocate a broader approach: an ‘ecology of attending’ that centers on conceptualizing, designing, and using attention (1) in an embedded way and (2) focused on the alleviating of suffering. Wi…
Users’ mental models within human–AI interaction: A systematic scoping review
AI is rapidly transforming the way humans interact with technology. As we navigate this new landscape, understanding the cognitive processes that guide how users perceive, conceptualize, and rely on AI systems has become an increasingly important field of human–AI interaction research. Specifically, mental models, the internal representations that individuals construct to explain and predict the behavior of complex systems, including their expect…
Personalisation of Communication and Language Use in Human-Robot Interaction
By providing daytime structure, Socially Assistive Robots (SARs) can assist older adults in autonomy and mitigate global challenges associated with the ageing society. Despite this potential, SARs are not yet fully integrated into healthcare. Therefore, this research explores the effectiveness of personalisation in communication and language use of SARs, using mass customization and personalised persuasion, to enhance acceptance and perceived per…
Timing and Integration of Directional Cues
Robots that share environments with people should communicate their directional intentions so that people can anticipate their future directions. In the current paper, the aim is to find whether using multiple cues at the same time improves the predictability of the robot. In the first experiment, participants were shown videos of an animated robot communicating its future direction with a LED cue, a rotating screen with or without projected eyes…
Comfortable Crossing Strategies for Robots
Increasingly often robots are deployed in human environments, where they will encounter people. An example of a challenge robots encounter is crossing paths with a human. Based on human-robot proxemics research one would expect that people would keep a certain distance to maintain an appropriate comfort level. However it is unclear whether this also holds for crossing scenarios between a robot and a person. In the first experiment presented in th…
Mind the gap: Bridging the divide between computer scientists and ethicists in shaping moral machines
Integrating technology in mental healthcare practice: A repeated cross-sectional survey study on professionals’ adoption of Digital Mental Health before and during Covid-19
As a consequence of the outbreak of the COVID-19 global pandemic in the spring of 2020, large-scale social distancing measures were implemented, resulting in the forced adoption of online or digital forms of psychological treatment. This sudden transition to digital care offered a unique opportunity to investigate if and how this experience impacted mental healthcare professionals' perceptions and use of Digital Mental Health tools. The current p…
I already forgot half of it’ – Interviewing people with dementia for co-designing an intelligent system
During the pre-design phase of supportive intelligent systems, interviews with future users, such as people with dementia, aim to explore the problems for which technology may present a solution. However, interviewing someone with dementia in this unstructured design phase is reported to be challenging resulting in systems that are not truly addressing the needs of the people with dementia. Existing guidelines on creating engaging interviews are …
Ethics of Socially Disruptive Technologies: An Introduction
Technologies shape who we are, how we organize our societies and how we relate to nature. For example, social media challenges democracy; artificial intelligence raises the question of what is unique to humans; and the possibility to create artificial wombs may affect notions of motherhood and birth. Some have suggested that we address global warming by engineering the climate, but how does this impact our responsibility to future generations and…
Improving metacognition through self-explication in a digital self-regulated learning tool
Digital support during self-regulated learning can improve metacognitive knowledge and skills in learners. Previous research has predominantly focused on embedding metacognitive support in domain-specific content. In this study, we examine a detached approach where digital metacognitive support is offered in parallel to ongoing domain-specific training via a digital tool. The primary support mechanism was self-explication, where learners are prom…
Promoting Occupational Health through Gamification and E-Coaching: A 5-Month User Engagement Study
Social gamification systems have shown potential for promoting healthy lifestyles, but applying them to occupational settings faces unique design challenges. While occupational settings offer natural communities for social interaction, fairness issues due to heterogeneous personal goals and privacy concerns increase the difficulty of designing engaging games. We explored a two-level game-design, where the first level related to achieving personal…
Sharing biosignals: An analysis of the experiential and communication properties of interpersonal psychophysiology
Biosensing technologies have advanced to a level where measurements of our physiology have become easily accessible, and new areas of application are being explored, including interpersonal communication via biosignals. To date, it is largely unknown what the communication characteristics of biosignal sharing are and how they influence experiences of biosignal-mediated interactions. By conceptualizing biosignal sharing as a new communication medi…
Brokerbot: A Cryptocurrency Chatbot in the Social-technical Gap of Trust
Cryptocurrencies are proliferating as instantiations of blockchain, which is a transparent, distributed ledger technology for validating transactions. Blockchain is thus said to embed trust in its technical design. Yet, blockchain’s technical promise of trust is not fulfilled when applied to the cryptocurrency ecosystem due to many social challenges stakeholders experience. By investigating a cryptocurrency chatbot (Brokerbot) that distributed in…
Determining Shape and Size of Personal Space of a Human when Passed by a Robot
Autonomous mobile robots that operate in environments with people are expected to be able to deal with human proxemics and social distances. Previous research investigated how robots can approach persons or how to implement human-aware navigation algorithms. However, experimental research on how robots can avoid a person in a comfortable way is largely missing. The aim of the current work is to experimentally determine the shape and size of perso…
Mental Health Care Goes Online: Practitioners' Experiences of Providing Mental Health Care During the Covid-19 Pandemic
The outbreak of the COVID-19 pandemic has necessitated sudden and radical changes in mental health care delivery, as strict social distancing and lockdown measures were imposed in the early phases of the pandemic. Almost overnight, practitioners were forced to transfer their face-to-face care practice to online means. To understand the implications of this drastic change for mental health care, and to improve the online care offerings, an online …
Two experience sampling studies examining the variation of self-control capacity and its relationship with core affect in daily life
Restoration in Its Natural Context: How Ecological Momentary Assessment Can Advance Restoration Research
More and more people use self-tracking technologies to track their psychological states, physiology, and behaviors to gain a better understanding of themselves or to achieve a certain goal. Ecological Momentary Assessment (EMA) also offers an excellent opportunity for restorative environments research, which examines how our physical environment (especially nature) can positively influence health and wellbeing. It enables investigating restorativ…
Immersed in Media: Telepresence Theory, Measurement & Technology
World of Warcraft, the aftermath: How game elements transfer into perceptions, associations and (day)dreams in the everyday life of massively multiplayer online role-playing game players
This paper describes the phenomenon of game-biased perceptions and associations, or how, through intensive game play, elements from the game world can trigger thoughts and imagery outside the game world, influencing the perception and interpretation of stimuli in everyday life. Examples include the insertion of game elements in thoughts, perceptions and dreams, the use of specific vocabulary or slang – typical to the game world – in everyday conv…
Machines Outperform Laypersons in Recognizing Emotions Elicited by Autobiographical Recollection
Over the last decade, an increasing number of studies have focused on automated recognition of human emotions by machines. However, performances of machine emotion recognition studies are difficult to interpret because benchmarks have not been established. To provide such a benchmark, we compared machine with human emotion recognition. We gathered facial expressions, speech, and physiological signals from 17 individuals expressing 5 different emo…
Persuasive Technology: Second International Conference on Persuasive Technology, Persuasive 2007, Palo Alto, Ca, Usa, April 26-27, 2007, Revised Selected Papers
Investigating Privacy Attitudes and Behavior in Relation to Personalization
This article presents an experimental study of privacy-related attitudes and behaviors regarding a music recommender service based on two types of user modeling: personality traits and musical preferences. Contrary to prior expectations and attitudes reported by participants, personality traits are frequently disclosed to the system and other users, indicating that embedded modeling of user personality does not represent an acceptance barrier. Di…
Determining Shape and Size of Personal Space of a Human when Passed by a Robot
Autonomous mobile robots that operate in environments with people are expected to be able to deal with human proxemics and social distances. Previous research investigated how robots can approach persons or how to implement human-aware navigation algorithms. However, experimental research on how robots can avoid a person in a comfortable way is largely missing. The aim of the current work is to experimentally determine the shape and size of perso…
Two experience sampling studies examining the variation of self-control capacity and its relationship with core affect in daily life
Investigating Privacy Attitudes and Behavior in Relation to Personalization
This article presents an experimental study of privacy-related attitudes and behaviors regarding a music recommender service based on two types of user modeling: personality traits and musical preferences. Contrary to prior expectations and attitudes reported by participants, personality traits are frequently disclosed to the system and other users, indicating that embedded modeling of user personality does not represent an acceptance barrier. Di…
Ethics of Socially Disruptive Technologies: An Introduction
Technologies shape who we are, how we organize our societies and how we relate to nature. For example, social media challenges democracy; artificial intelligence raises the question of what is unique to humans; and the possibility to create artificial wombs may affect notions of motherhood and birth. Some have suggested that we address global warming by engineering the climate, but how does this impact our responsibility to future generations and…
World of Warcraft, the aftermath: How game elements transfer into perceptions, associations and (day)dreams in the everyday life of massively multiplayer online role-playing game players
This paper describes the phenomenon of game-biased perceptions and associations, or how, through intensive game play, elements from the game world can trigger thoughts and imagery outside the game world, influencing the perception and interpretation of stimuli in everyday life. Examples include the insertion of game elements in thoughts, perceptions and dreams, the use of specific vocabulary or slang – typical to the game world – in everyday conv…
Persuasive Technology: Second International Conference on Persuasive Technology, Persuasive 2007, Palo Alto, Ca, Usa, April 26-27, 2007, Revised Selected Papers
Investigating Privacy Attitudes and Behavior in Relation to Personalization
This article presents an experimental study of privacy-related attitudes and behaviors regarding a music recommender service based on two types of user modeling: personality traits and musical preferences. Contrary to prior expectations and attitudes reported by participants, personality traits are frequently disclosed to the system and other users, indicating that embedded modeling of user personality does not represent an acceptance barrier. Di…
Machines Outperform Laypersons in Recognizing Emotions Elicited by Autobiographical Recollection
Over the last decade, an increasing number of studies have focused on automated recognition of human emotions by machines. However, performances of machine emotion recognition studies are difficult to interpret because benchmarks have not been established. To provide such a benchmark, we compared machine with human emotion recognition. We gathered facial expressions, speech, and physiological signals from 17 individuals expressing 5 different emo…
World of Warcraft, the aftermath: How game elements transfer into perceptions, associations and (day)dreams in the everyday life of massively multiplayer online role-playing game players
This paper describes the phenomenon of game-biased perceptions and associations, or how, through intensive game play, elements from the game world can trigger thoughts and imagery outside the game world, influencing the perception and interpretation of stimuli in everyday life. Examples include the insertion of game elements in thoughts, perceptions and dreams, the use of specific vocabulary or slang – typical to the game world – in everyday conv…
Immersed in Media: Telepresence Theory, Measurement & Technology
Restoration in Its Natural Context: How Ecological Momentary Assessment Can Advance Restoration Research
More and more people use self-tracking technologies to track their psychological states, physiology, and behaviors to gain a better understanding of themselves or to achieve a certain goal. Ecological Momentary Assessment (EMA) also offers an excellent opportunity for restorative environments research, which examines how our physical environment (especially nature) can positively influence health and wellbeing. It enables investigating restorativ…
Two experience sampling studies examining the variation of self-control capacity and its relationship with core affect in daily life
Mental Health Care Goes Online: Practitioners' Experiences of Providing Mental Health Care During the Covid-19 Pandemic
The outbreak of the COVID-19 pandemic has necessitated sudden and radical changes in mental health care delivery, as strict social distancing and lockdown measures were imposed in the early phases of the pandemic. Almost overnight, practitioners were forced to transfer their face-to-face care practice to online means. To understand the implications of this drastic change for mental health care, and to improve the online care offerings, an online …
Promoting Occupational Health through Gamification and E-Coaching: A 5-Month User Engagement Study
Social gamification systems have shown potential for promoting healthy lifestyles, but applying them to occupational settings faces unique design challenges. While occupational settings offer natural communities for social interaction, fairness issues due to heterogeneous personal goals and privacy concerns increase the difficulty of designing engaging games. We explored a two-level game-design, where the first level related to achieving personal…
Sharing biosignals: An analysis of the experiential and communication properties of interpersonal psychophysiology
Biosensing technologies have advanced to a level where measurements of our physiology have become easily accessible, and new areas of application are being explored, including interpersonal communication via biosignals. To date, it is largely unknown what the communication characteristics of biosignal sharing are and how they influence experiences of biosignal-mediated interactions. By conceptualizing biosignal sharing as a new communication medi…
Brokerbot: A Cryptocurrency Chatbot in the Social-technical Gap of Trust
Cryptocurrencies are proliferating as instantiations of blockchain, which is a transparent, distributed ledger technology for validating transactions. Blockchain is thus said to embed trust in its technical design. Yet, blockchain’s technical promise of trust is not fulfilled when applied to the cryptocurrency ecosystem due to many social challenges stakeholders experience. By investigating a cryptocurrency chatbot (Brokerbot) that distributed in…
Determining Shape and Size of Personal Space of a Human when Passed by a Robot
Autonomous mobile robots that operate in environments with people are expected to be able to deal with human proxemics and social distances. Previous research investigated how robots can approach persons or how to implement human-aware navigation algorithms. However, experimental research on how robots can avoid a person in a comfortable way is largely missing. The aim of the current work is to experimentally determine the shape and size of perso…
Improving metacognition through self-explication in a digital self-regulated learning tool
Digital support during self-regulated learning can improve metacognitive knowledge and skills in learners. Previous research has predominantly focused on embedding metacognitive support in domain-specific content. In this study, we examine a detached approach where digital metacognitive support is offered in parallel to ongoing domain-specific training via a digital tool. The primary support mechanism was self-explication, where learners are prom…
Integrating technology in mental healthcare practice: A repeated cross-sectional survey study on professionals’ adoption of Digital Mental Health before and during Covid-19
As a consequence of the outbreak of the COVID-19 global pandemic in the spring of 2020, large-scale social distancing measures were implemented, resulting in the forced adoption of online or digital forms of psychological treatment. This sudden transition to digital care offered a unique opportunity to investigate if and how this experience impacted mental healthcare professionals' perceptions and use of Digital Mental Health tools. The current p…
I already forgot half of it’ – Interviewing people with dementia for co-designing an intelligent system
During the pre-design phase of supportive intelligent systems, interviews with future users, such as people with dementia, aim to explore the problems for which technology may present a solution. However, interviewing someone with dementia in this unstructured design phase is reported to be challenging resulting in systems that are not truly addressing the needs of the people with dementia. Existing guidelines on creating engaging interviews are …
Ethics of Socially Disruptive Technologies: An Introduction
Technologies shape who we are, how we organize our societies and how we relate to nature. For example, social media challenges democracy; artificial intelligence raises the question of what is unique to humans; and the possibility to create artificial wombs may affect notions of motherhood and birth. Some have suggested that we address global warming by engineering the climate, but how does this impact our responsibility to future generations and…
Comfortable Crossing Strategies for Robots
Increasingly often robots are deployed in human environments, where they will encounter people. An example of a challenge robots encounter is crossing paths with a human. Based on human-robot proxemics research one would expect that people would keep a certain distance to maintain an appropriate comfort level. However it is unclear whether this also holds for crossing scenarios between a robot and a person. In the first experiment presented in th…
Mind the gap: Bridging the divide between computer scientists and ethicists in shaping moral machines
Personalisation of Communication and Language Use in Human-Robot Interaction
By providing daytime structure, Socially Assistive Robots (SARs) can assist older adults in autonomy and mitigate global challenges associated with the ageing society. Despite this potential, SARs are not yet fully integrated into healthcare. Therefore, this research explores the effectiveness of personalisation in communication and language use of SARs, using mass customization and personalised persuasion, to enhance acceptance and perceived per…
Timing and Integration of Directional Cues
Robots that share environments with people should communicate their directional intentions so that people can anticipate their future directions. In the current paper, the aim is to find whether using multiple cues at the same time improves the predictability of the robot. In the first experiment, participants were shown videos of an animated robot communicating its future direction with a LED cue, a rotating screen with or without projected eyes…
Social Robots for People Living with Dementia: A Scoping Review on Deception from Design to Perception
As social robots are increasingly introduced into dementia care, their embodied and interactive design may blur the boundary between artificial and lifelike entities, raising ethical concerns about robotic deception. In this context, it remains unclear which specific design cues of social robots might lead to social robotic deception (SRD) in people living with dementia (PLwD), and which perceptions and responses of PLwD might indicate that SRD i…
Beyond the attention economy, towards an ecology of attending. A manifesto
We endorse policymakers’ efforts to address the negative consequences of the attention economy’s technology but add that these approaches are often limited in their criticism of the systemic context of human attention. Starting from Buddhist philosophy, we advocate a broader approach: an ‘ecology of attending’ that centers on conceptualizing, designing, and using attention (1) in an embedded way and (2) focused on the alleviating of suffering. Wi…
Users’ mental models within human–AI interaction: A systematic scoping review
AI is rapidly transforming the way humans interact with technology. As we navigate this new landscape, understanding the cognitive processes that guide how users perceive, conceptualize, and rely on AI systems has become an increasingly important field of human–AI interaction research. Specifically, mental models, the internal representations that individuals construct to explain and predict the behavior of complex systems, including their expect…
Computer Science (16 works) · Psychology (15 works) · Artificial Intelligence (6 works) · Social Psychology (6 works) · Social Robot Interaction and HRI (6 works) · Political science (5 works) · Robot (5 works) · Social Psychology (5 works) · World Wide Web (5 works) · Applied Psychology (4 works)