ScholarLens Back to search
2003•International Journal of Occupational Safety and ErgonomicsOpen access

Affective Computing—A Rationale for Measuring Mood With Mouse and Keyboard

Philippe Zimmermann, Sissel Guttormsen, Brigitta Danuser, Patrick Gomez

Open full text 199 citations

Abstract

Emotions are an increasingly important factor in Human-Computer Interaction (HCI). Up to the present, emotion recognition in HCI implies the use of explicit or intrusive methods, for example, video cameras or physiological measurements. We are developing and evaluating a method for the measurement of affective states through motor-behavioral parameters from standard input devices (mouse and keyboard).

Open-access reader

About this research paper

What this paper is about

Emotions are an increasingly important factor in Human-Computer Interaction (HCI). Up to the present, emotion recognition in HCI implies the use of explicit or intrusive methods, for example, video cameras or physiological measurements. We are developing and evaluating a method for the measurement of affective states through motor-behavioral parameters from standard input devices (mouse and keyboard).

Why it matters

OpenAlex reports 199 citations for this work. Citation counts describe recorded attention and do not establish research quality.

Key contribution

A contribution statement is not available in the OpenAlex record.

Method / approach

Method details are not available in the OpenAlex metadata.

Main findings

Findings are not separately available in the OpenAlex metadata.

Limitations

Limitations are not available in the OpenAlex metadata.

Applications

Application details are not available in the OpenAlex metadata.

Available abstract

Emotions are an increasingly important factor in Human-Computer Interaction (HCI). Up to the present, emotion recognition in HCI implies the use of explicit or intrusive methods, for example, video cameras or physiological measurements. We are developing and evaluating a method for the measurement of affective states through motor-behavioral parameters from standard input devices (mouse and keyboard).

Key concepts: Mood, Human–computer interaction, Affective computing, Emotion recognition, Computer science, Affect (linguistics), Psychology, Cognitive psychology

Related papers

Related paper 1Related paper 2Related paper 3
Back to paper searchBrowse research topicsOriginal source
Affective Computing—A Rationale for Measuring Mood With Mouse and Keyboard — Research Paper | ScholarLens