VLDB 2026 Research / reviewers in the wild / expert
Laura Aymerich-Franch
dblp:122/9666
· DBLP profile ↗
4ranked-venue papers
1as first author
3since 2021 · last 2023
0000-0001-7627-5770ORCID · verified
Domains — the database's venue-derived domains; a paper can count in several
Human-computer interaction and ubiquitous computing · 4 · 1 first-author · 3 since 2021Artificial intelligence and machine learning · 2 · 1 since 2021Applied, interdisciplinary, general and emerging computing · 1
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2023 | A Robotic Companion for Psychological Well-being: A Long-term Investigation of Companionship and Therapeutic AllianceabstractSocial support plays a crucial role in managing and enhancing one's mental health and well-being. In order to explore the role of a robot's companion-like behavior on its therapeutic interventions, we conducted an eight-week-long deployment study with seventy participants to compare the impact of (1) acontrol robot with only assistant-like skills, (2) acoach-like robot with additional instructive positive psychology interventions, and (3) acompanion-like robot that delivered the same interventions in a peer-like and supportive manner. The companion-like robot was shown to be the most effective in building a positive therapeutic alliance with people, enhancing participants' well-being and readiness for change. Our work offers valuable insights into how companion AI agents could further enhance the efficacy of the mental health interventions by strengthening their therapeutic alliance with people for long-term mental health support. Sooyeon Jeong, Laura Aymerich-Franch, Sharifa Alghowinem, Rosalind W. Picard, Cynthia Breazeal, Hae Won Park 0001 |
HRI | 2 |
| 2023 | Deploying a robotic positive psychology coach to improve college students' psychological well-beingabstractDespite the increase in awareness and support for mental health, college students' mental health is reported to decline every year in many countries. Several interactive technologies for mental health have been proposed and are aiming to make therapeutic service more accessible, but most of them only provide one-way passive contents for their users, such as psycho-education, health monitoring, and clinical assessment. We present a robotic coach that not only delivers interactive positive psychology interventions but also provides other useful skills to build rapport with college students. Results from our on-campus housing deployment feasibility study showed that the robotic intervention showed significant association with increases in students' psychological well-being, mood, and motivation to change. We further found that students' personality traits were associated with the intervention outcomes as well as their working alliance with the robot and their satisfaction with the interventions. Also, students' working alliance with the robot was shown to be associated with their pre-to-post change in motivation for better well-being. Analyses on students' behavioral cues showed that several verbal and nonverbal behaviors were associated with the change in self-reported intervention outcomes. The qualitative analyses on the post-study interview suggest that the robotic coach's companionship made a positive impression on students, but also revealed areas for improvement in the design of the robotic coach. Results from our feasibility study give insight into how learning users' traits and recognizing behavioral cues can help an AI agent provide personalized intervention experiences for better mental health outcomes. Sooyeon Jeong, Laura Aymerich-Franch, Kika Arias, Sharifa Alghowinem, Àgata Lapedriza, Rosalind W. Picard, Hae Won Park 0001, Cynthia Breazeal |
User Model. User Adapt. Interact. | 2 |
| 2022 | Investigating the use of speech-based conversational agents for life coachingabstractLife coaching can contribute to goal attainment, quality of life, and psychological well-being enhancement. We explored the capacity of a speech-based conversational agent coach (CAC) to deliver a coaching program for goal achievement in two studies. Participants showed a significant increase in personal growth initiative (PGI) after completing the program both in the pilot and the main study. Participants in the main study additionally reported a significant increase in life satisfaction (SLS) and a significant decrease in negative affect (PANAS-N). Usability of the application, satisfaction with the coaching program, and adoption intention were rated positively in both studies. The results suggest that working on goal achievement with the CAC had a positive impact on the psychological well-being of the participants. The study provides an empirically-validated approach for automated coaching interventions and highlights the potential of conversational agents for delivering life coaching. Laura Aymerich-Franch, Iliana Ferrer |
Int. J. Hum. Comput. Stud. | 1 |
| 2020 | A Robotic Positive Psychology Coach to Improve College Students' WellbeingabstractA significant number of college students suffer from mental health issues that impact their physical, social, and occupational outcomes. Various scalable technologies have been proposed in order to mitigate the negative impact of mental health disorders. However, the evaluation for these technologies, if done at all, often reports mixed results on improving users' mental health. We need to better understand the factors that align a user's attributes and needs with technology-based interventions for positive outcomes. In psychotherapy theory, therapeutic alliance and rapport between a therapist and a client is regarded as the basis for therapeutic success. In prior works, social robots have shown the potential to build rapport and a working alliance with users in various settings. In this work, we explore the use of a social robot coach to deliver positive psychology interventions to college students living in on-campus dormitories. We recruited 35 college students to participate in our study and deployed a social robot coach in their room. The robot delivered daily positive psychology sessions among other useful skills like delivering the weather forecast, scheduling reminders, etc. We found a statistically significant improvement in participants' psychological wellbeing, mood, and readiness to change behavior for improved wellbeing after they completed the study. Furthermore, students' personality traits were found to have a significant association with intervention efficacy. Analysis of the post-study interview revealed students' appreciation of the robot's companionship and their concerns for privacy. Sooyeon Jeong, Sharifa Alghowinem, Laura Aymerich-Franch, Kika Arias, Àgata Lapedriza, Rosalind W. Picard, Hae Won Park 0001, Cynthia Breazeal |
RO-MAN | 3 |