A Review of Mobile HCI Research Methods

By Jesper Kjeldskov, Connor Graham. Mobile HCI, 2003

438 citations recorded by the source corpus.

Subfields: Automotive Engineering, Human-Computer Interaction

View Paper: https://www.semanticscholar.org/paper/0181401498d89e373a1d593c9ffe2bd633114590

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Automotive Engineering

1. Rachel Harrison
2. Derek Flood
3. David A. Duce
4. Geoffrey F. Miller
5. Jan Stage
6. Jesper Kjeldskov

In Human-Computer Interaction

1. Sunny Consolvo
2. Jon E. Froehlich
3. James A. Landay
4. Rachel Harrison
5. Derek Flood
6. David A. Duce
7. Geoffrey F. Miller
8. Jan Stage

Citations in the corpus

• Usability of mobile applications: literature review and rationale for a new usability model (2013, methodology): “Previous work by Kjeldskov & Graham [3] has looked at the research methods used in mobile HCI, but did not examine the particular attributes of usability incorporated in the PACMAD model.”
• Evaluation of contextual information retrieval effectiveness: overview of issues and research (2010, background): “However, evaluation remains challenging because of the main additional (regarding personalized IR evaluation) following reasons [17,61,64]: 1. environmental data should be available and several usage scenario should be specified and evaluated across them; 2. evaluation, if present, concerns a…”
• The Smartphone Psychology Manifesto (2012, background): “Rather than exhaustively reviewing this literature (see Kjeldskov & Graham, 2003; Mehl & Conner, 2011), I outline four existing types of studies that give a context for future developments in smartphone research.”
• Is It Worth the Hassle? Exploring the Added Value of Evaluating the Usability of Context-Aware Mobile Systems in the Field (2004, background): “In practice, however, these typically apply laboratory-based evaluations [10].”
• New techniques for usability evaluation of mobile systems (2004, background): “A recent survey of mobile human-computer interaction research has shown that laboratory experiments are presently the most prevalent method for evaluating mobile systems ( Kjeldskov and Graham, 2003 ).”
• MyExperience: a system for in situ tracing and capturing of user feedback on mobile phones (2007, background): “Although many new emerging mobile research methods have been introduced recently, they still suffer from issues of scale, breadth, and artificial environments [17], [19], [28], [30].”