@article{10.1145/3604247,

title = {Beyond Hiding and Revealing: Exploring Effects of Visibility and Form of Interaction on the Witness Experience},

author = {Alarith Uhde and Tim Zum Hoff and Marc Hassenzahl},

url = {https://doi.org/10.1145/3604247},

doi = {10.1145/3604247},

year  = {2023},

date = {2023-09-01},

journal = {Proc. ACM Hum.-Comput. Interact.},

volume = {7},

number = {MHCI},

publisher = {Association for Computing Machinery},

address = {New York, NY, USA},

abstract = {Our interactions with technology do not just shape our individual experiences. They also affect people around us. Although previous research has addressed such "witness" experiences, the actual effect of interaction design on the witness experience remains largely unknown. In an online study (n = 407), we explored how witnesses perceive mid-air gesture-based interactions with a hearing aid, using four video vignettes. We studied witnesses' subjective visibility of manipulations and effects (following Reeves and colleagues' taxonomy), perceived form of interaction, subjective experience, and relationships between these measures. Although visibility patterns matched the intended form, they did not lead to the supposed experience (i.e., "suspenseful" gestures did not lead to suspenseful experiences). The paper illustrates gaps in current research about witness experiences, demonstrates the need to overcome basic hiding/revealing profiles, and indicates a path forward by focusing on aesthetic forms and experiences.},

keywords = {bystander, gesture-based interaction, hearing aid, observer, social acceptability, suspenseful, witness experience},

pubstate = {published},

tppubtype = {article}

}

@article{chamunorwa_empirical_2023,

title = {An Empirical Comparison of Moderated and Unmoderated Gesture Elicitation Studies on Soft Surfaces and Objects for Smart Home Control},

author = {Michael Chamunorwa and Mikolaj P. Wozniak and Susanna Krämer and Heiko Müller and Susanne Boll},

url = {https://dl.acm.org/doi/10.1145/3604245},

doi = {10.1145/3604245},

year  = {2023},

date = {2023-09-01},

urldate = {2023-10-11},

journal = {Proceedings of the ACM on Human-Computer Interaction},

volume = {7},

number = {MHCI},

pages = {198:1–198:24},

abstract = {Conducting gesture elicitation studies (GES) in personal spaces such as smart homes is crucial to achieving high ecological validity of elicited gestures. However, supervising such studies is considered intrusive and negatively affects the results' quality. The alternative is to conduct unsupervised GES under similar conditions, but more side-by-side comparisons documenting the similarities and differences between both approaches are necessary. Consequently, we need more data describing the preferred approach and whether the differences or similarities in the results are so significant to cause concern. This research distributed a DIY observation kit, which 30 participants assembled and used to propose gestures for controlling elements in a smart living room using a pillow's surface, with and without supervision. Our results show that gestures from supervised and unsupervised studies differ in quantity and max-consensus but not in gesture Agreement Scores. Our results also show that participants preferred conducting unsupervised studies but proposed fewer gesture sets in this condition.},

keywords = {between-subjects study, deformable interfaces, gesture elicitation, smart home, surface interaction},

pubstate = {published},

tppubtype = {article}

}

@article{10.1145/3579590,

title = {"When the Beeping Stops, you Completely Freak Out" - How Acute Care Teams Experience and Use Technology},

author = {Anna Hohm and Oliver Happel and Jörn Hurtienne and Tobias Grundgeiger},

url = {https://doi.org/10.1145/3579590},

doi = {10.1145/3579590},

year  = {2023},

date = {2023-04-01},

journal = {Proc. ACM Hum.-Comput. Interact.},

volume = {7},

number = {CSCW1},

publisher = {Association for Computing Machinery},

address = {New York, NY, USA},

abstract = {Technology use in acute care has so far been studied with a predominant focus on safety and efficiency rather than the experience of acute care staff. In the present paper, we report a qualitative study including 130 hours of participant observation on acute care teams and retrospective interviews with nine anesthesiologists on their experiences with technology. Our approach is theoretically guided by four modern HCI perspectives, namely psychological need satisfaction, activity theory, embodied interaction, and media equation theory. We analyzed the interview and observation data using a reflexive thematic analysis and identified four themes. Technology as necessary (evil) describes the pervasiveness of technology and how acute care teams depend on technology. While technology as second patient covers the additional load for anesthesiologists on a functional and emotional level, technology as problem solver and safety net highlights relieving aspects of technology use. Technology as artificial limb focuses on so-called transparent tools that extend the body and capabilities of users. We then discuss the identified themes concerning the previously presented theories. Based on our findings and theoretical perspectives, we report general insights for research and design in acute care, such as the benefits of mixed methods or the importance of the gut feelings of experts. Finally, we propose possible directions for future work, such as developing a UX questionnaire adapted to the context of safety-critical domains, such as acute care.},

keywords = {activity theory, Anesthesiology, embodied interaction, experience, healthcare, media equation, psychological need satisfaction, technology, UX},

pubstate = {published},

tppubtype = {article}

}

@article{oechsner2023designing,

title = {Designing Dynamic Robot Characters to Improve Robot-Human Communications},

author = {Carl Oechsner and Daniel Ullrich},

doi = {10.48550/arXiv.2303.05219},

year  = {2023},

date = {2023-01-01},

urldate = {2023-01-01},

journal = {arXiv preprint arXiv:2303.05219},

keywords = {},

pubstate = {published},

tppubtype = {article}

}