Zachodniopomorski Uniwersytet Technologiczny w Szczecinie

Wydział Elektryczny - Automatyka i robotyka (S2)

Sylabus przedmiotu Human-Computer Interaction Methods:

Informacje podstawowe

Kierunek studiów Automatyka i robotyka
Forma studiów studia stacjonarne Poziom drugiego stopnia
Tytuł zawodowy absolwenta magister inżynier
Obszary studiów charakterystyki PRK, kompetencje inżynierskie PRK
Profil ogólnoakademicki
Moduł
Przedmiot Human-Computer Interaction Methods
Specjalność przedmiot wspólny
Jednostka prowadząca Katedra Automatyki i Robotyki
Nauczyciel odpowiedzialny Maja Kocoń <Maja.Kocon@zut.edu.pl>
Inni nauczyciele Maja Kocoń <Maja.Kocon@zut.edu.pl>
ECTS (planowane) 2,0 ECTS (formy) 2,0
Forma zaliczenia zaliczenie Język angielski
Blok obieralny 6 Grupa obieralna 1

Formy dydaktyczne

Forma dydaktycznaKODSemestrGodzinyECTSWagaZaliczenie
projektyP2 33 1,40,44zaliczenie
wykładyW2 15 0,60,56zaliczenie

Wymagania wstępne

KODWymaganie wstępne
W-1Basic programming knowledge.

Cele przedmiotu

KODCel modułu/przedmiotu
C-1Introduce students to issues related to human–machine interaction.
C-2Present possibilities of applying knowledge from various fields to improve human-machine interaction.
C-3Familiarize students with the mechanisms and techniques of designing human-machine interaction.
C-4Develop students' skills for independently designing modules aimed at improving the quality of human-machine interaction.

Treści programowe z podziałem na formy zajęć

KODTreść programowaGodziny
projekty
T-P-1Design and implementation of a human–machine interaction module that meets specified requirements.31
T-P-2Preparation and delivery of a project presentation, including a discussion of the applied solutions and justification of design decisions.2
33
wykłady
T-W-1Introduction to human-machine Interaction. Aspects of human–machine interaction. Historical overview and current trends.2
T-W-2Application areas of human-machine Interaction systems. Available information exchange channels.2
T-W-3Graphical user interface (GUI), multimedia interfaces,iInteractive assistants, social robotics, simulators.2
T-W-4Techniques for modeling human–machine interaction and types of interaction. Interaction design.2
T-W-5Techniques for human motion analysis and synthesis. Research data acquisition. Fundamentals of biomechanics and motion signal processing.2
T-W-6Application of 3D graphics in HMI system design. Virtual reality (VR) and augmented reality (AR) in interaction systems.2
T-W-7Computer vision techniques and image processing in human-machine interaction.2
T-W-8Methods for evaluating interaction systems. Final lecture assessment.1
15

Obciążenie pracą studenta - formy aktywności

KODForma aktywnościGodziny
projekty
A-P-1Participation in practical classes.33
A-P-2Independent work on the project.3
36
wykłady
A-W-1Attendance at lectures, preparation of a selected topic in the field of human–machine interaction, and preparation for the written test.15
15

Metody nauczania / narzędzia dydaktyczne

KODMetoda nauczania / narzędzie dydaktyczne
M-1Informational lecture.
M-2Project consultations.

Sposoby oceny

KODSposób oceny
S-1Ocena podsumowująca: Assessment based on the student's engagement during lectures, a written exam, and a written paper on a selected topic in the field of human-machine interaction.
S-2Ocena podsumowująca: Assessment based on the completed project. The correctness of the project implementation and the quality of its presentation are evaluated.
S-3Ocena formująca: Assessment of progress during teh project development process.
S-4Ocena formująca: Assessment of the student’s activity and understanding of the presented learning material.

Zamierzone efekty uczenia się - wiedza

Zamierzone efekty uczenia sięOdniesienie do efektów kształcenia dla kierunku studiówOdniesienie do efektów zdefiniowanych dla obszaru kształceniaOdniesienie do efektów uczenia się prowadzących do uzyskania tytułu zawodowego inżynieraCel przedmiotuTreści programoweMetody nauczaniaSposób oceny
AR_2A_C11.2_W01
The student has knowledge of the design principles and characteristic features of human–machine interaction systems.
AR_2A_W01C-1, C-2T-W-1, T-W-2, T-W-3, T-W-4, T-W-5, T-W-6, T-W-7, T-W-8M-1S-1, S-4

Zamierzone efekty uczenia się - umiejętności

Zamierzone efekty uczenia sięOdniesienie do efektów kształcenia dla kierunku studiówOdniesienie do efektów zdefiniowanych dla obszaru kształceniaOdniesienie do efektów uczenia się prowadzących do uzyskania tytułu zawodowego inżynieraCel przedmiotuTreści programoweMetody nauczaniaSposób oceny
AR_2A_C11.2_U01
The student is able to independently design a module of an interaction system, taking into account specified requirements.
AR_2A_U02C-3, C-4T-P-1, T-P-2, T-W-4, T-W-6, T-W-7, T-W-8M-2S-2, S-3

Kryterium oceny - wiedza

Efekt uczenia sięOcenaKryterium oceny
AR_2A_C11.2_W01
The student has knowledge of the design principles and characteristic features of human–machine interaction systems.
2,0Lack of basic knowledge in the subject. The student scored below 50% on the assessment related to the learning outcome.
3,0The student scored between 50% and 60% on the assessment related to the learning outcome.
3,5The student scored between 61% and 70% on the assessment related to the learning outcome.
4,0The student scored between 71% and 80% on the assessment related to the learning outcome.
4,5The student scored between 81% and 90% on the assessment related to the learning outcome.
5,0The student scored above 91% on the assessment related to the learning outcome.

Kryterium oceny - umiejętności

Efekt uczenia sięOcenaKryterium oceny
AR_2A_C11.2_U01
The student is able to independently design a module of an interaction system, taking into account specified requirements.
2,0The student scored below 50% on the assessment related to the learning outcome.
3,0The student scored between 50% and 60% on the assessment related to the learning outcome.
3,5The student scored between 61% and 70% on the assessment related to the learning outcome.
4,0The student scored between 71% and 80% on the assessment related to the learning outcome.
4,5The student scored between 81% and 90% on the assessment related to the learning outcome.
5,0The student scored above 91% on the assessment related to the learning outcome.

Literatura podstawowa

  1. Yvonne Rogers, Helen Sharp, Jenny Preece, Interaction Design: Beyond Human - Computer Interaction, Willey, 2011
  2. Editors: Professor Dr.-Ing. Karl-Friedrich Kraiss, Advanced Man-Machine Interaction Fundamentals and Implementation, Springer, 2006
  3. Mario Gutierrez, Frederic Vexo, Daniel Thalmann, Stepping into Virtual Reality, Springer-Verlag, London, 2008
  4. Kerstin Dautenhahn, Alan H. Bond, Lola Canamero, Bruce Edmonds, Socially Intelligent Agents. Creating Relationships with Computers and Robots, Springer, US, 2002

Literatura dodatkowa

  1. Takayuki Kanda, Hiroshi Ishiguro, Human-Robot Interaction in Social Robotics, CRC Press, 2017
  2. Cynthia Breazeal, Designing Sociable Robots, The MIT Press, London, 2002

Treści programowe - projekty

KODTreść programowaGodziny
T-P-1Design and implementation of a human–machine interaction module that meets specified requirements.31
T-P-2Preparation and delivery of a project presentation, including a discussion of the applied solutions and justification of design decisions.2
33

Treści programowe - wykłady

KODTreść programowaGodziny
T-W-1Introduction to human-machine Interaction. Aspects of human–machine interaction. Historical overview and current trends.2
T-W-2Application areas of human-machine Interaction systems. Available information exchange channels.2
T-W-3Graphical user interface (GUI), multimedia interfaces,iInteractive assistants, social robotics, simulators.2
T-W-4Techniques for modeling human–machine interaction and types of interaction. Interaction design.2
T-W-5Techniques for human motion analysis and synthesis. Research data acquisition. Fundamentals of biomechanics and motion signal processing.2
T-W-6Application of 3D graphics in HMI system design. Virtual reality (VR) and augmented reality (AR) in interaction systems.2
T-W-7Computer vision techniques and image processing in human-machine interaction.2
T-W-8Methods for evaluating interaction systems. Final lecture assessment.1
15

Formy aktywności - projekty

KODForma aktywnościGodziny
A-P-1Participation in practical classes.33
A-P-2Independent work on the project.3
36
(*) 1 punkt ECTS, odpowiada około 30 godzinom aktywności studenta

Formy aktywności - wykłady

KODForma aktywnościGodziny
A-W-1Attendance at lectures, preparation of a selected topic in the field of human–machine interaction, and preparation for the written test.15
15
(*) 1 punkt ECTS, odpowiada około 30 godzinom aktywności studenta
PoleKODZnaczenie kodu
Zamierzone efekty uczenia sięAR_2A_C11.2_W01The student has knowledge of the design principles and characteristic features of human–machine interaction systems.
Odniesienie do efektów kształcenia dla kierunku studiówAR_2A_W01Ma rozszerzona i pogłębioną wiedzę z matematyki i zna narzędzia informatyczne niezbędne do - opisu i analizy zaawansowanych algorytmów przetwarzania sygnałów, - rozwiązywania złożonych problemów robotyki i automatyki, - optymalizacji układów automatycznego sterowania.
Cel przedmiotuC-1Introduce students to issues related to human–machine interaction.
C-2Present possibilities of applying knowledge from various fields to improve human-machine interaction.
Treści programoweT-W-1Introduction to human-machine Interaction. Aspects of human–machine interaction. Historical overview and current trends.
T-W-2Application areas of human-machine Interaction systems. Available information exchange channels.
T-W-3Graphical user interface (GUI), multimedia interfaces,iInteractive assistants, social robotics, simulators.
T-W-4Techniques for modeling human–machine interaction and types of interaction. Interaction design.
T-W-5Techniques for human motion analysis and synthesis. Research data acquisition. Fundamentals of biomechanics and motion signal processing.
T-W-6Application of 3D graphics in HMI system design. Virtual reality (VR) and augmented reality (AR) in interaction systems.
T-W-7Computer vision techniques and image processing in human-machine interaction.
T-W-8Methods for evaluating interaction systems. Final lecture assessment.
Metody nauczaniaM-1Informational lecture.
Sposób ocenyS-1Ocena podsumowująca: Assessment based on the student's engagement during lectures, a written exam, and a written paper on a selected topic in the field of human-machine interaction.
S-4Ocena formująca: Assessment of the student’s activity and understanding of the presented learning material.
Kryteria ocenyOcenaKryterium oceny
2,0Lack of basic knowledge in the subject. The student scored below 50% on the assessment related to the learning outcome.
3,0The student scored between 50% and 60% on the assessment related to the learning outcome.
3,5The student scored between 61% and 70% on the assessment related to the learning outcome.
4,0The student scored between 71% and 80% on the assessment related to the learning outcome.
4,5The student scored between 81% and 90% on the assessment related to the learning outcome.
5,0The student scored above 91% on the assessment related to the learning outcome.
PoleKODZnaczenie kodu
Zamierzone efekty uczenia sięAR_2A_C11.2_U01The student is able to independently design a module of an interaction system, taking into account specified requirements.
Odniesienie do efektów kształcenia dla kierunku studiówAR_2A_U02Potrafi, wykorzystując właściwe metody i narzędzia informatyczne, przetwarzać sygnały celem wydobycia z nich informacji niezbędnych do prawidłowego działania układu sterowania.
Cel przedmiotuC-3Familiarize students with the mechanisms and techniques of designing human-machine interaction.
C-4Develop students' skills for independently designing modules aimed at improving the quality of human-machine interaction.
Treści programoweT-P-1Design and implementation of a human–machine interaction module that meets specified requirements.
T-P-2Preparation and delivery of a project presentation, including a discussion of the applied solutions and justification of design decisions.
T-W-4Techniques for modeling human–machine interaction and types of interaction. Interaction design.
T-W-6Application of 3D graphics in HMI system design. Virtual reality (VR) and augmented reality (AR) in interaction systems.
T-W-7Computer vision techniques and image processing in human-machine interaction.
T-W-8Methods for evaluating interaction systems. Final lecture assessment.
Metody nauczaniaM-2Project consultations.
Sposób ocenyS-2Ocena podsumowująca: Assessment based on the completed project. The correctness of the project implementation and the quality of its presentation are evaluated.
S-3Ocena formująca: Assessment of progress during teh project development process.
Kryteria ocenyOcenaKryterium oceny
2,0The student scored below 50% on the assessment related to the learning outcome.
3,0The student scored between 50% and 60% on the assessment related to the learning outcome.
3,5The student scored between 61% and 70% on the assessment related to the learning outcome.
4,0The student scored between 71% and 80% on the assessment related to the learning outcome.
4,5The student scored between 81% and 90% on the assessment related to the learning outcome.
5,0The student scored above 91% on the assessment related to the learning outcome.