Recently, digital displays such as liquid crystal displays and projectors have enabled high-resolution and high-speed information transmission. However, their artificial appearance can sometimes detract from natural environments and landscapes. In contrast, ambient displays, which transfer information to the entire physical environment, have gained attention for their ability to blend seamlessly into living spaces. This study aims to develop an ambient display that harmonizes with traditional Japanese tatami rooms by proposing an information presentation method using tatami mats. By leveraging the anisotropic properties of tatami, which change their reflective characteristics according to viewing angles and light source positions, various images and animations can be represented. We quantitatively evaluated the color change of tatami using color difference. Additionally, we created both static and dynamic displays as information presentation methods using tatami.

https://doi.org/10.1145/3689050.3704924

Hu, Yuhan, Peide Huang, Mouli Sivapurapu, and Jian Zhang. "ELEGNT: Expressive and Functional Movement Design for Non-anthropomorphic Robot." arXiv preprint arXiv:2501.12493(2025).

https://arxiv.org/abs/2501.12493

Nonverbal behaviors such as posture, gestures, and gaze are essential for conveying internal states, both consciously and unconsciously, in human interaction. For robots to interact more naturally with humans, robot movement design should likewise integrate expressive qualities—such as intention, attention, and emotions—alongside traditional functional considerations like task fulfillment, spatial constraints, and time efficiency. In this paper, we present the design and prototyping of a lamp-like robot that explores the interplay between functional and expressive objectives in movement design. Using a research-through-design methodology, we document the hardware design process, define expressive movement primitives, and outline a set of interaction scenario storyboards. We propose a framework that incorporates both functional and expressive utilities during movement generation, and implement the robot behavior sequences in different function- and social-oriented tasks. Through a user study comparing expression-driven versus function-driven movements across six task scenarios, our findings indicate that expression-driven movements significantly enhance user engagement and perceived robot qualities. This effect is especially pronounced in social-oriented tasks.

K. Brandstätter, B. J. Congdon and A. Steed, "Do you read me? (E)motion Legibility of Virtual Reality Character Representations," 2024 IEEE International Symposium on Mixed and Augmented Reality (ISMAR), Bellevue, WA, USA, 2024, pp. 299-308, doi: 10.1109/ISMAR62088.2024.00044.

We compared the body movements of five virtual reality (VR) avatar representations in a user study (N=53) to ascertain how well these representations could convey body motions associated with different emotions: one head-and-hands representation using only tracking data, one upper-body representation using inverse kinematics (IK), and three full-body representations using IK, motioncapture, and the state-of-the-art deep-learning model AGRoL. Participants’ emotion detection accuracies were similar for the IK and AGRoL representations, highest for the full-body motion-capture representation and lowest for the head-and-hands representation. Our findings suggest that from the perspective of emotion expressivity, connected upper-body parts that provide visual continuity improve clarity, and that current techniques for algorithmically animating the lower-body are ineffective. In particular, the deep-learning technique studied did not produce more expressive results, suggesting the need for training data specifically made for social VR applications.

https://ieeexplore.ieee.org/document/10765392

The Oscar best picture winning movie CODA has helped introduce Deaf culture to many in the hearing community. The capital "D" in Deaf is used when referring to the Deaf culture, whereas small "d" deaf refers to the medical condition. In the Deaf community, sign language is used to communicate, and sign has a rich history in film, the arts, and education. Learning about the Deaf culture in the United States and the importance of American Sign Language in that culture has been key to choosing projects that are useful and usable for the Deaf.

J. Lee et al., "Whirling Interface: Hand-based Motion Matching Selection for Small Target on XR Displays," 2024 IEEE International Symposium on Mixed and Augmented Reality (ISMAR), Bellevue, WA, USA, 2024, pp. 319-328, doi: 10.1109/ISMAR62088.2024.00046.

We introduce “Whirling Interface,” a selection method for XR displays using bare-hand motion matching gestures as an input technique. We extend the motion matching input method, by introducing different input states to provide visual feedback and guidance to the users. Using the wrist joint as the primary input modality, our technique reduces user fatigue and improves performance while selecting small and distant targets. In a study with 16 participants, we compared the whirling interface with a standard ray casting method using hand gestures. The results demonstrate that the Whirling Interface consistently achieves high success rates, especially for distant targets, averaging 95.58% with a completion time of 5.58 seconds. Notably, it requires a smaller camera sensing field of view of only 21.45° horizontally and 24.7° vertically. Participants reported lower workloads on distant conditions and expressed a higher preference for the Whirling Interface in general. These findings suggest that the Whirling Interface could be a useful alternative input method for XR displays with a small camera sensing FOV or when interacting with small targets.

https://ieeexplore.ieee.org/abstract/document/10765156

Z. Chang et al., "Perceived Empathy in Mixed Reality: Assessing the Impact of Empathic Agents’ Awareness of User Physiological States," 2024 IEEE International Symposium on Mixed and Augmented Reality (ISMAR), Bellevue, WA, USA, 2024, pp. 406-415, doi: 10.1109/ISMAR62088.2024.00055. https://doi.org/10.1109/ISMAR62088.2024.00055

In human-agent interaction, establishing trust and a social bond with the agent is crucial to improving communication quality and performance in collaborative tasks. This paper investigates how a Mixed Reality Agent’s (MiRA) ability to acknowledge a user’s physiological state affects perceptions such as empathy, social connectedness, presence, and trust. In a within-subject study with 24 subjects, we varied the companion agent’s awareness during a mixed-reality first-person shooting game. Three agents provided feedback based on the users’ physiological states: (1) No Awareness Agent (NAA), which did not acknowledge the user’s physiological state; (2) Random Awareness Agent (RAA), offering feedback with varying accuracy; and (3) Accurate Awareness Agent (AAA), which provided consistently accurate feedback. Subjects reported higher scores on perceived empathy, social connectedness, presence, and trust with AAA compared to RAA and NAA. Interestingly, despite exceeding NAA in perception scores, RAA was the least favored as a companion. The findings and implications for the design of MiRA interfaces are discussed, along with the limitations of the study and directions for future work.

https://ieeexplore.ieee.org/document/10765390

Uğur Genç and Himanshu Verma. 2024. Situating Empathy in HCI/CSCW: A Scoping Review. Proc. ACM Hum.-Comput. Interact. 8, CSCW2, Article 513 (November 2024), 37 pages. https://doi.org/10.1145/3687052

Empathy is considered a crucial construct within HCI and CSCW, yet our understanding of this complex concept remains fragmented and lacks consensus in existing research. In this scoping review of 121 articles from the ACM Digital Library, we synthesize the diverse perspectives on empathy and scrutinize its current conceptualization and operationalization. In particular, we examine the various interpretations and definitions of empathy, its applications, and the methodologies, findings, and trends in the field. Our analysis reveals a lack of consensus on the definitions and theoretical underpinnings of empathy, with interpretations ranging from understanding the experiences of others to an affective response to the other's situation. We observed that despite the variety of methods used to gauge empathy, the predominant approach remains self-assessed instruments, highlighting the lack of novel and rigorously established and validated measures and methods to capture the multifaceted manifestations of empathy. Furthermore, our analysis shows that previous studies have used a variety of approaches to elicit empathy, such as experiential methods and situational awareness. These approaches have demonstrated that shared stressful experiences promote community support and relief, while situational awareness promotes empathy through increased helping behavior. Finally, we discuss a) the potential and drawbacks of leveraging empathy to shape interactions and guide design practices, b) the need to find a balance between the collective focus of empathy and the (existing and dominant) focus on the individual, and c) the careful testing of empathic designs and technologies with real-world applications.

https://dl.acm.org/doi/10.1145/3687052

Isna Alfi Bustoni, Mark McGill, and Stephen Anthony Brewster. 2024. Exploring the Alteration and Masking of Everyday Noise Sounds using Auditory Augmented Reality. In Proceedings of the 26th International Conference on Multimodal Interaction (ICMI '24). Association for Computing Machinery, New York, NY, USA, 154–163. https://doi.org/10.1145/3678957.3685750

While noise-cancelling headphones can block out or mask environmental noise with digital sound, this costs the user situational awareness and information. With the advancement of acoustically transparent personal audio devices (e.g. headphones, open-ear audio frames), Auditory Augmented Reality (AAR), and real-time audio processing, it is feasible to preserve user situational awareness and relevant information whilst diminishing the perception of the noise. Through an online survey (n=124), this research explored users’ attitudes and preferred AAR strategy (keep the noise, make the noise more pleasant, obscure the noise, reduce the noise, remove the noise, and replace the noise) toward different types of noises from a range of categories (living beings, mechanical, and environmental) and varying degrees of relevance. It was discovered that respondents’ degrees of annoyance varied according to the kind of noise and its relevance to them. Additionally, respondents had a strong tendency to reduce irrelevant noise and retain more relevant noise. Based on our findings, we discuss how AAR can assist users in coping with noise whilst retaining relevant information through selectively suppressing or altering the noise, as appropriate.

https://dl.acm.org/doi/10.1145/3678957.3685750