Elena Di Lascio

I am a PhD student in informatics at Università della Svizzera italiana (USI), Lugano, Switzerland. I am a member of the Mobile Computing Sensing System (MCSS) research group from september 2016, under the supervision of Prof. Silvia Santini .

I received my Master's degree in Communication and Information Technology Engineering at Università degli studi Roma Tre (Rome) with summa con laude in 2016. In 2015 I joined the Uppsala Networked Objects (UNO) research group where I worked on my Master's thesis: "A Battery-free Indoor Localization System”. I received my Bachelor's degree in Electronic Engineering at Università degli studi Roma Tre with summa con laude in 2013.

Research

My research interests broadly focus on pervasive and ubiquitous computing, multimodal human sensing, automatic inference of human behaviour and affect.

The main goal of my Ph.D. thesis is to develop tools and methods to infer human behavior and affect in real-world settings (at work, school, home) by leveraging data gathered from sensors embedded in smartphones and wearable devices. I am particularly interested in developing technologies able to measure, predict and support people's health and well-being in every-day life.

I have been extensively working on unobtrusively measuring and recognizing students' engagement during lectures using wristbands. We demonstrated the feasibility of using electrodermal activity sensors to reliably identify non-engaged students. Overall, our findings may inform the design of systems that allow students to self-monitor their engagement and act upon the obtained feedback. Teachers could profit of information about non-engaged students too to perform self-reflection and to devise and evaluate methods to (re-)engage students.

Publications

My Google Scholar page: here

E. Di Lascio, Shkurta Gashi and Silvia Santini: Laughter Recognition Using Non-invasive Wearable Devices. Accepted for publication In: Proceedings of the 13th EAI International Conference on Pervasive Computing Technologies for Healthcare (PervasiveHealth), May 2019.

S. Gashi, E. Di Lascio, S. Santini: Using Unobtrusive Wearable Sensors to Measure the Physiological Synchrony Between Presenters and Audience Members. In: Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (PACM IMWUT), Vol. 3, Issue 1, March 2019.

A. Fedosov, B. Stancu, E. Di Lascio, D. Eynard, M. Langheinrich: Movie+: Towards Exploring Social Effects of Emotional Fingerprints for Video Clips and Movies. Accepted for publication In: Extended Abstracts of the Conference on Human Factors in Computing Systems (CHI 2019).

E. Di Lascio, S. Gashi, S. Santini: Unobtrusive Assessment of Students’ Engagement During Lectures Using Electrodermal Activity Sensors. In: Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (PACM IMWUT), Vol. 2, Issue 3, September 2018.

S. Gashi, E. Di Lascio, S. Santini: Using Students' Physiological Synchrony to Quantify the Classroom Emotional Climate. In: Adjunct Proceedings of the ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp 2018). Best Paper Award.

E. Di Lascio: Emotion-Aware Systems for Promoting Human Well-being. In: Adjunct Proceedings of the ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp 2018).

D. Kumar, E. Di Lascio, M. Ahmad, M.Yliniemi: Calmify: Measuring the Effectiveness of Personalized Meditation Techniques Using Mobile Technologies. In: Adjunct Proceedings of the ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp 2018).

E. Di Lascio, S. Gashi, D. Krasic, S. Santini: In-classroom Self-tracking for Teachers and Students: Preliminary Findings from a Pilot Study. In: Adjunct Proceedings of the ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp 2017).

E. Di Lascio, A. Varshney, T. Voigt, C. Péreze-Penichet: Poster Abstract: LocaLight- A Battery-free Passive Localization System Using Visible Light. In: Adjunct Proceedings of the International Conference on Information Processing in Sensor Networks (IPSN 2016).

E. Di Lascio, R. Iovine, R. Tarparelli, A. Lozito and L. Vegni: Tecniche di bonifica per siti contaminati da composti organici del cloro. In: BEA – Bollettino degli Esperti Ambientali, Vol. 63, No. 1, 2013, pp. 14-20.

Teaching

I have been Teaching Assistant of the graduate courses:

Advising

During these years I had the pleasure of co-advising several students during their theses:

• Shkurta Gashi :"Studying the Physiological Synchrony Between Teachers and Students During Lectures Using Mobile and Wearable Devices"
• Danilo Krasic :"Using Wearable and Mobile Devices to Quantify Students’ Engagement in the Classroom"
• Luca Dotti :"A Mobile System to Understand the Relationship Between Human Mobility Patterns and Well-Being"

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