Eye-See: enabling eye contact in online therapy
Authors
Frahm, Lea Becker ; Dybro, Stefan
Term
4. term
Education
Publication year
2021
Pages
124
Abstract
Eye-See er et produktudviklingsprojekt, der adresserer udfordringen med manglende øjenkontakt og det “dobbelte fokus” i online terapi. Når terapeuter skal aflæse patientens mikro-udtryk og kropssprog på skærmen, mister patienten følelsen af øjenkontakt og nærvær. Eye-See foreslås som et bevægeligt webcam, der kan placeres foran skærmen—typisk ud for patientens pande i billedet—så terapeuten kan se direkte på patienten, mens patienten oplever øjenkontakt. Projektet er udviklet med omfattende brugerinvolvering af psykologer, en psykiater, en coach, en studenterpræst samt patienter med terapierfaring, og omfatter flere prototypetests samt tekniske og forretningsmæssige overvejelser. Den primære brugergruppe er behandlere, men løsningen kan overføres til andre online kontekster, hvor øjenkontakt er vigtig. De første sider af rapporten beskriver proces og begrundelse; konkrete effekter eller måleresultater fremgår ikke af uddraget.
Eye-See is a product development project that addresses the lack of eye contact and the “dual focus” problem in online therapy. When therapists need to read a patient’s micro-expressions and body language on the screen, patients lose the feeling of eye contact and presence. Eye-See is proposed as a movable webcam that can slide in front of the display—typically aligned with the patient’s forehead in the image—so the therapist can look directly at the patient while the patient perceives eye contact. The project was developed with extensive user involvement from psychologists, a psychiatrist, a coach, a student priest, and patients with therapy experience, and includes multiple prototype tests alongside technical and business considerations. The primary users are therapists, but the solution can extend to other online contexts where eye contact matters. The opening pages of the report describe the process and rationale; specific outcomes or performance results are not provided in the excerpt.
[This summary has been generated with the help of AI directly from the project (PDF)]
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