Učni načrt predmeta

Predmet:

Senzorji v interakciji človek računalnik

Course:

Sensors in Human Computer Interaction

Študijski program in stopnja / Study programme and level	Študijska smer / Study field	Letnik / Academic year	Semester / Semester
Senzorske tehnologije, 3. stopnja	/	1	1
Sensor Technologies, 3rd cycle	/	1	1

Vrsta predmeta / Course type

Izbirni

Univerzitetna koda predmeta / University course code:

ST3-553

Predavanja Lectures	Seminar Seminar	Vaje Tutorial	Klinične vaje work	Druge oblike študija	Samost. delo Individ. work	ECTS
15	15			15	105	5

*Navedena porazdelitev ur velja, če je vpisanih vsaj 15 študentov. Drugače se obseg izvedbe kontaktnih ur sorazmerno zmanjša in prenese v samostojno delo. / This distribution of hours is valid if at least 15 students are enrolled. Otherwise the contact hours are linearly reduced and transfered to individual work.

Nosilec predmeta / Course leader:

izr. prof. dr. Gregor Papa

Sodelavci / Lecturers:

Jeziki / Languages:

Predavanja / Lectures:

Slovenski ali angleški / Slovene or English

Vaje / Tutorial:

Pogoji za vključitev v delo oz. za opravljanje študijskih obveznosti:

Prerequisits:

Vsebina:

Content (Syllabus outline):

Temeljna literatura in viri / Readings:

Cilji in kompetence:

Objectives and competences:

Cilji:
- Poznavanje principov za zagotavljanje usklajenosti med uporabnikom, opravili in tehnologijo.
- Razumevanje arhitektur interaktivnih sistemov, ki podpirajo različne vrste senzorskega zaznavanja.
- Pregledno poznavanje senzorskih aplikacij v interakciji človek računalnik.
- Razumevanje uporabnostnih lastnosti brezžičnih, nosljivih in drugih sodobnih tehnologij.
- Izkušnje iz prototipnega snovanja uporabniških vmesnikov.
- Izkušnje iz uporabnostnega testiranja z uporabo različnih testnih metod.

Kompetence:
- Za dano senzorsko aplikacijo: razumevanje njene vloge v interakciji človek računalnik z ozirom na fizične omejitve in postavljene cilje.
- Izvedba prototipov za hitro evalvacijo načrtovane senzorske aplikacije ob uporabi uveljavljenih pristopov uporabnostnega testiranja.
- Poznavanje uveljavljenih principov snovanja uporabniških vmesnikov.
- Izkušnje pri pripravi plana evalvacije ob upoštevanju uporabniških potreb in možnih omejitev.
- Izvedba evalvacije načrtovane senzorske aplikacije.
- Sposobnost primerjave razvite rešitve s stanjem tehnike in ocenjevanja dosežene stopnje inovativnosti.

Objectives:
- Knowing the principles for achieving good fit among the user, tasks and technology.
- Understanding interactive system architectures that support various sensory perceptors.
- Getting an overview of sensor applications in human computer interaction.
- Understanding the implications of wireless, wearable and other emerging technologies.
- Getting experience in user interface prototyping.
- Getting experience in usability testing comparing possible solutions.

Competences:
- For a given sensor application: understanding its role in human computer interaction with respect to physical restrictions and stated goals.
- Implementing prototypes for quick evaluation of the designed sensor application using established approaches of usability testing.
- Knowledge of the established user interface design heuristics.
- Experience in preparing evaluation plan considering user needs and possible restrictions.
- Performing evaluation of the designed sensor application.
- Ability for comparing the developed solution with the state-of-the-art and assessing the achieved level of innovation.

Predvideni študijski rezultati:

Intendeded learning outcomes:

Metode poučevanja in učenja:

Learning and teaching methods:

Načini ocenjevanja:

Delež v % / Weight in %

Assesment:

Seminarska naloga s predstavitvijo in zagovorom rešitve izbranega primera iz študentovega raziskovalnega dela

60 %

Seminar work with presentation and defence of the solution for the selected problem from student’s research work

Ustni izpit

40 %

Oral exam

Reference nosilca / Lecturer's references:

1.	M Pavlin, F. Novak, G. Papa, "Low power contactless bioimpedance sensor for monitoring breathing activity," Sensors, 21(6): 2081-1-2081-14, 2021
2.	T. Jakovljević, M. Janković, A. Savić, I. Soldatović, P. Todorović, T. Jere Jakulin, G. Papa, V. Kovič. The sensor hub for detecting the developmental characteristics in reading in children on a white vs. colored background/colored overlays. Sensors. 21(2): 406-1-406-13, 2021
3.	M. Santo Zarnik, F. Novak, G. Papa, "Sensors in proactive maintenance : a case of LTCC pressure sensors," Eksploatacja i Niezawodność, 20(1): 263-268, 2018.
4.	I. Cikajlo, A. Hukić, I. Dolinšek, D. Zajc, M. Vesel, T. Krizmanič, B. Blažica, A. Biasizzo, F. Novak, K. Petelin-Potisk: Can telerehabilitation games lead to functional improvement of upper extremities in individuals with Parkinson's disease?. International journal of rehabilitation research, ISSN 0342-5282. [Print ed.], 2018, vol. 41, no. 3, str. 230-238
5.	Š. Poklukar, G. Papa, F. Novak, "A formal framework of human-machine interaction in proactive maintenance : MANTIS experience," Automatika, ISSN 0005-1144, 2018, vol. 58, no. 4, str. 450-459,