| 1. |
- Akkuzu, Anastasia, et al.
(författare)
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Behavioural Observations as Objective Measures of Trust in Child-Robot Interaction : Mutual Gaze
- 2023
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Ingår i: HAI '23. - : Association for Computing Machinery (ACM). - 9798400708244 ; , s. 452-454
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Konferensbidrag (refereegranskat)abstract
- In developing a computational model of trust, this paper summarises the findings in a previous study exploring mutual gaze as a behavioural parameter of social trust and liking [1]. Drawing on the data collected in a related paper [6], which provides us with video clips of children interacting with a robot during a collaborative storytelling game, we look at the interactions between metrics assessing social trust and liking, and the development of mutual gaze as an objective measure of social trust and liking. We achieve this through several statistical analyses between the percent of mutual gaze in each interaction, scores from social trust and liking metrics, age of the participant, and duration. The findings of our study support the use of mutual gaze as an objective measure for liking, but there is still not sufficient evidence to support the use of mutual gaze as an objective measure to identify and capture social trust as a whole. Furthermore, interaction context impacts the amount of mutual gaze in an interaction, and the age of the participant has an impact on the amount of mutual gaze that occurs.
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| 2. |
- Babel, Franziska, et al.
(författare)
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Cars As Social Agents (CarSA): A Perspective Shift in Human-Vehicle Interaction
- 2023
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Ingår i: PROCEEDINGS OF THE 11TH CONFERENCE ON HUMAN-AGENT INTERACTION, HAI 2023. - : ASSOC COMPUTING MACHINERY. - 9798400708244 ; , s. 498-499
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Konferensbidrag (refereegranskat)abstract
- The rapid advancement of autonomous vehicle (AV) technology has opened up new possibilities and challenges in the domain of human-agent interaction. As AVs become increasingly prevalent on our roads, it is crucial to understand how humans perceive and interact with these intelligent systems. This workshop aims to bring together researchers and practitioners to explore the perception of cars as social agents. We explore the shift in user perception and the implications for interactions between autonomous vehicles, human drivers, and vulnerable road users (pedestrians, cyclists, etc.). Additionally, we investigate the communication of goals and intentions between cars and humans, as well as issues related to mixed agency, stakeholder perspectives, in-vehicle avatars, and human-vehicle power dynamics. The workshop aims to uncover the benefits, risks, and design principles associated with this emerging paradigm.
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| 3. |
- Babel, Franziska, et al.
(författare)
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Cyclists' Perception of Automated Shuttle Buses in Shared Spaces
- 2023
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Ingår i: PROCEEDINGS OF THE 11TH CONFERENCE ON HUMAN-AGENT INTERACTION, HAI 2023. - : ASSOC COMPUTING MACHINERY. - 9798400708244 ; , s. 467-469
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Konferensbidrag (refereegranskat)abstract
- As automated shuttle buses gradually become a part of urban traffic solutions, their interactions with vulnerable road users need careful consideration. However, the cyclists' perspectives on autonomous shuttle buses have not been explored extensively. This research addresses this gap by surveying 50 cyclists who regularly encounter automated shuttle buses. The results show that, in general, cyclists exhibit a high level of trust in the safety of the buses. Nevertheless, approximately one-third of the cyclists expressed disapproval as the buses tend to drive on the bicycle lane, leading them to wish for infrastructural solutions to avoid forcing cyclists to divert to pedestrian walkways. Identifying potential conflicts like these is vital for the development of effective and acceptable human-agent interactions in road traffic environments.
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| 4. |
- Chilufya, Emma Mainza, 1986-, et al.
(författare)
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A Comparative Study of Physical and Virtual Reality Prototyping of a Migrating Agent Interface
- 2023
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Ingår i: Proceedings of the 11th International Conference on Human-Agent Interaction. - New York, NY, USA : Association for Computing Machinery (ACM). - 9798400708244 ; , s. 369-371
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Konferensbidrag (övrigt vetenskapligt/konstnärligt)abstract
- Prototyping methods are commonly employed iteratively throughout the design and product development, typically ranging from early low-fidelity to later high-fidelity prototypes. We present a case study focusing on prototyping a receptionist agent migrating between three platforms (a monitor on the wall, a mobile phone, and a physical robot). More specifically, we compare virtual reality (VR) and physical (real world) prototyping methods. The two methods are compared in terms of fidelity and usability. The breadth of features, the degree of functionality, and the interactivity were similar. However, the aesthetic refinement differed. The VR prototyping method also had much higher prerequisites in terms of equipment and skills, and the learning curve for the designer was steep. Both methods were equally efficient in user testing, but the VR method revealed more usability issues in the efficiency category, while the physical space method revealed more issues in the effectiveness category.
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| 5. |
- Morillo-Mendez, Lucas, 1991-, et al.
(författare)
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Interdisciplinary Approaches in Human-Agent Interaction
- 2023
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Ingår i: HAI '23: Proceedings of the 11th International Conference on Human-Agent Interaction. - : Association for Computing Machinery (ACM). - 9798400708244 ; , s. 504-506
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Konferensbidrag (refereegranskat)abstract
- As the field of human-agent interaction (HAI) matures, it becomes essential to acknowledge and address the differing multidisciplinary approaches that support it to favor a common interdisciplinary understanding, thus adopting a broader methodological and epistemological perspective. The field of HAI recognizes that agents are not merely isolated technologies but embedded within society. Consequently, the advancement of HAI is not only part of an engineering problem but one that must be informed by diverse disciplines such as legal, philosophical, psychological, design, medical, and sociological, among others. The goal of this workshop is to provide a space where participants can explore the diverse methodologies that compose HAI, reflect on diverse research practices –with their strengths and limitations–, and provide a safe environment where participants can disseminate their research in clear and engaging terms, rather than technical, to foster interdisciplinary collaborations.
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| 6. |
- Thellman, Sam, et al.
(författare)
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A Survey of Attributions and Preferences Regarding Higher-Order Mental States in Artificial Agents
- 2023
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Ingår i: PROCEEDINGS OF THE 11TH CONFERENCE ON HUMAN-AGENT INTERACTION, HAI 2023. - : ASSOC COMPUTING MACHINERY. - 9798400708244 ; , s. 97-104
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Konferensbidrag (refereegranskat)abstract
- Understanding how people attribute behavior to underlying mental states is crucial to the study of human social interactions. Previous research has established that people rely on attributing mental states to interpret and interact with artificial agents. For example, a pedestrian encountering a driverless vehicle at a crosswalk might view the vehicle as knowing (or not) that there is a pedestrian in front of it. Nevertheless, little attention has been devoted to investigating people's attributions of higher-order mental states, i.e., mental states that are about the mental states of others (e.g., the vehicle's beliefs about the pedestrian's intentions). Addressing this research gap, the present study conducted a survey to explore people's attributions and preferences concerning higher-order mental states in three types of artificial agents (AI chatbot, virtual assistant, and self-driving car), alongside two human agents (participants themselves, referred to as you, and five-year-old child). The survey revealed that: (1) artificial agents, in contrast to humans, may be perceived as more likely to have higher-order mental states than first-order mental states, depending on the purpose or function of the agent; (2) people may prefer some artificial agents to have mental states of a particular order (but not others); (3) attributions and preferences regarding mental states in artificial agents do not always match. The study also contributes insights regarding the methodological challenge of constructing a survey that effectively captures participants' higher-order attributions while minimizing excessive cognitive demands. We posit that human-agent interaction research and design stand to benefit from further exploration of people's attributions and preferences regarding higher-order mental states in artificial agents.
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| 7. |
- Thunberg, Sofia, et al.
(författare)
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Robot Pets for Older Adults Adopted by Over Half of Swedish Municipalities
- 2023
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Ingår i: PROCEEDINGS OF THE 11TH CONFERENCE ON HUMAN-AGENT INTERACTION, HAI 2023. - : ASSOC COMPUTING MACHINERY. - 9798400708244 ; , s. 455-457
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Konferensbidrag (refereegranskat)abstract
- During the past decade, there has been an increased interest in using social companionship robots for older adults in care homes. Previous studies have shown that these robots, often in the shape of a household pet, can decrease stress and loneliness while increasing communication and quality of life. In our research, studying the effects of cat and dog robots at care homes, we got the impression that these robots are quite common and that the reason for implementing them varies. Therefore, we conducted an online survey, asking all municipalities in Sweden if they have social companionship robots, how they are using them and for what kind of care organisation. The result showed that more than half of the municipalities use pet robots for older adults, and most commonly for people with dementia to lower stress and increase the feeling of safety.
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| 8. |
- Wester, Joel, et al.
(författare)
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"You've got a friend in me" : a formal understanding of the critical friend agent
- 2023
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Ingår i: HAI '23. - : ACM Digital Library. - 9798400708244 ; , s. 443-445
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Konferensbidrag (refereegranskat)abstract
- State-of-the-art intelligent and interactive agents, such as Alexa or Siri, often present overly conforming behaviour during interactions with humans. This can result in a misalignment between end-user expectations and agent behaviour. To overcome this barrier in human-AI interactions, we introduce the Critical Friend (CF), a conceptual idea that guides critical behaviour in human-human interactions. We present our results as a formal understanding that can be described through description logic and utilised for reasoning capabilities, enabling implementations of the CF as an intelligent interactive agent.
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