Mental Health and Emotion

会議の名前
CHI 2023
Facilitating Experiential Training for Counselors using a Real-time Annotation Tool
要旨

Experiential training, where mental health professionals practice their learned skills, remains the most costly component of therapeutic training. We introduce Pin-MI, a video-call-based tool that supports experiential learning of counseling skills used in motivational interviewing (MI) through interactive role-play as client and counselor. In Pin-MI, counselors annotate, or "pin" the important moments in their role-play sessions in real-time. The pins are then used post-session to facilitate a reflective learning process, in which both client and counselor can provide feedback about what went well or poorly during each pinned moment. We discuss the design of Pin-MI and a qualitative evaluation with a set of healthcare professionals learning MI. Our evaluation suggests that Pin-MI helped users develop empathy, be more aware of their skill usage, guaranteed immediate and targeted feedback, and helped users correct misconceptions about their performance. We discuss implications for the design of experiential training tools for learning counseling skills.

著者
Tianying Chen
Carnegie Mellon University, Pittsburgh, Pennsylvania, United States
Michael Xieyang Liu
Carnegie Mellon University, Pittsburgh, Pennsylvania, United States
Emily Ding
Carnegie Mellon University, Pittsburgh, Pennsylvania, United States
Emma O'Neil
University of Pennsylvania, Philadelphia, Pennsylvania, United States
Mansi Agarwal
Carnegie Mellon University, Pittsburgh, Pennsylvania, United States
Robert E. Kraut
Carnegie Mellon University, Pittsburgh, Pennsylvania, United States
Laura Dabbish
Carnegie Mellon University, Pittsburgh, Pennsylvania, United States
論文URL

https://doi.org/10.1145/3544548.3581551

動画
Knowing How Long a Storm Might Last Makes it Easier to Weather: Exploring Needs and Attitudes Toward a Data-driven and Preemptive Intervention System for Bipolar Disorder
要旨

Bipolar disorder (BD) is a serious mental illness that requires life-long management. Manic and depressive mood episodes in BD are characterized by idiosyncratic behavioral changes. Identifying these early-warning signs is critical for effective illness management. However, there are unique design constraints for technologies focusing on preemptive assessment and intervention in BD given the need for data-intensive monitoring and balancing user agency. In this paper, we aim to establish acceptance, needs, and concerns regarding a preemptive assessment and intervention system to support longitudinal BD management. We interviewed 10 individuals living with BD. To ground the findings in lived experiences, we used a hypothetical assessment and intervention system focusing on online behaviors. Based on the data, we have identified requirements for effective behavioral monitoring across illness episodes. We have also established design recommendations to support dynamic, longitudinal interventions that can address the evolving user needs for life-long BD management.

著者
Johnna Blair
Pennsylvania State University, University Park, Pennsylvania, United States
Dahlia Mukherjee
Penn State College of Medicine, Hershey, Pennsylvania, United States
Erika F. H. Saunders
Penn State College of Medicine, Hershey, Pennsylvania, United States
Saeed Abdullah
Pennsylvania State University, University Park, Pennsylvania, United States
論文URL

https://doi.org/10.1145/3544548.3581563

動画
Just Do Something: Comparing Self-proposed and Machine-recommended Stress Interventions among Online Workers with Home Sweet Office
要旨

Modern stress management techniques have been shown to be effective, particularly when applied systematically and with the supervision of an instructor. However, online workers usually lack sufficient support from therapists and learning resources to self-manage their stress. To better assist these users, we implemented a browser-based application, Home Sweet Office (HSO), to administer a set of stress micro-interventions which mimic existing therapeutic techniques, including somatic, positive psychology, meta cognitive, and cognitive behavioral categories. In a four-week field study, we compared random and machine-recommended interventions to interventions that were self-proposed by participants in order to investigate effective content and recommendation methods. Our primary findings suggest that both machine-recommended and self-proposed interventions had significantly higher momentary efficacy than random selection, whereas machine-recommended interventions offer more activity diversity compared to self-proposed interventions. We conclude with reflections on these results, discuss features and mechanisms which might improve efficacy, and suggest areas for future work.

著者
Xin Tong
Duke Kunshan University, Kunshan, Suzhou, China
Matthew Louis. Mauriello
University of Delaware, Newark, Delaware, United States
Marco Antonio. Mora-Mendoza
Stanford University, Stanford, California, United States
Nina Prabhu
Stanford University, Stanford, California, United States
Jane Paik. Kim
Stanford University School of Medicine, Stanford, California, United States
Pablo E. Paredes Castro
Stanford University, Stanford, California, United States
論文URL

https://doi.org/10.1145/3544548.3581319

動画
Manifesting Breath: Empirical Evidence for the Integration of Shape-Changing Biofeedback-based Artefacts within Digital Mental Health Interventions
要旨

Digital interventions are often used to support people with mental health conditions, but low engagement frequently reduces their effectiveness. We investigate the use of a Physical Artefact for Well-being Support (PAWS) to improve engagement and effectiveness of an audio-only guided well-being intervention. Through our handheld shape-changing biofeedback-based PAWS, users can synchronously feel their breath via kinaesthetic haptic feedback. By evaluating our device in a randomised-controlled experimental paradigm (N=58), we demonstrate significant reductions in physiological and subjective (self-reported) anxiety compared to an audio-only control. Our findings conclude that synchronous interactions with one‘s own physiological data via the PAWS, improves engagement and effectiveness of an intervention.

著者
Alexz Farrall
University of Bath, Bath, United Kingdom
Jordan Taylor
University of Bath, Bath, United Kingdom
Ben Ainsworth
University of Bath, Bath, United Kingdom
Jason Alexander
University of Bath, Bath, United Kingdom
論文URL

https://doi.org/10.1145/3544548.3581188

動画
Are Embodied Avatars Harmful to our Self-Experience? The Impact of Virtual Embodiment on Body Awareness
要旨

Virtual Reality (VR) allows us to replace our visible body with a virtual self-representation (avatar) and to explore its effects on our body perception. While the feeling of owning and controlling a virtual body is widely researched, how VR affects the awareness of internal body signals (body awareness) remains open. Forty participants performed moving meditation tasks in reality and VR, either facing their mirror image or not. Both the virtual environment and avatars photorealistically matched their real counterparts. We found a negative effect of VR on body awareness, mediated by feeling embodied in and changed by the avatar. Further, we revealed a negative effect of a mirror on body awareness. Our results indicate that assessing body awareness should be essential in evaluating VR designs and avatar embodiment aiming at mental health, as even a scenario as close to reality as possible can distract users from their internal body signals.

受賞
Honorable Mention
著者
Nina Döllinger
University of Würzburg, Würzburg, Germany
Erik Wolf
University of Würzburg, Würzburg, Germany
Mario Botsch
TU Dortmund University, Dortmund, Germany
Marc Erich. Latoschik
University of Würzburg, Würzburg, Germany
Carolin Wienrich
University of Würzburg, Würzburg, Germany
論文URL

https://doi.org/10.1145/3544548.3580918

動画
Investigating the Role of Context in the Delivery of Text Messages for Supporting Psychological Wellbeing
要旨

Without a nuanced understanding of users’ perspectives and contexts, text messaging tools for supporting psychological wellbeing risk delivering interventions that are mismatched to users' dynamic needs. We investigated the contextual factors that influence young adults' day-to-day experiences when interacting with such tools. Through interviews and focus group discussions with 36 participants, we identified that people's daily schedules and affective states were dominant factors that shape their messaging preferences. We developed two messaging dialogues centered around these factors, which we deployed to 42 participants to test and extend our initial understanding of users' needs. Across both studies, participants provided diverse opinions of how they could be best supported by messages, particularly around when to engage users in more passive versus active ways. They also proposed ways of adjusting message length and content during periods of low mood. Our findings provide design implications and opportunities for context-aware mental health management systems.

受賞
Best Paper
著者
Ananya Bhattacharjee
University of Toronto, Toronto, Ontario, Canada
Joseph Jay. Williams
University of Toronto, Toronto, Ontario, Canada
Jonah Meyerhoff
Northwestern University, Chicago, Illinois, United States
Harsh Kumar
University of Toronto, Toronto, Ontario, Canada
Alex Mariakakis
University of Toronto, Toronto, Ontario, Canada
Rachel Kornfield
Northwestern University, Evanston, Illinois, United States
論文URL

https://doi.org/10.1145/3544548.3580774

動画